As of 21 April all information subject to change Presenter First Name Presenter Last Name Company Balazs Balasko M by jmv12608

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									As of 21 April -- all information subject to change
 Presenter First Name          Presenter Last Name                         Company




Balazs                    Balasko                     MOL
Boonlert                  Chernsiridumrong            PTT Chem




                                                      PCITC: (Sinopec) Petro-CyberWorks Information
XiaoGang                  Hu                          Technology Co.,Ltd.



Jack                      Albrecht                    ACo GmbH




Zafar                     Ali                         AspenTech




Zafar                     Ali                         AspenTech




                                                      Senior VP, Engineering, Shaw Energy & Chemicals
Bert                      Aragon, PE                  Group
Brian                     Ashcraft                    Dow




Dr. Dirk-Uwe              Astrath                     Evonik Degussa
Sara                      Baldez                      Dow




Joe                       Barth                       Solomon Associates
Joep                      Bazelmans                   Sabic-UK




Amy                       Beall                       Shaw Energy and Chemicals
                                   Tessenderlo Group
Dr. Ben             Bettens


Purvi               Bharwada       AspenTech




Dipanjan            Bhattacharya   Bechtel Oil, Gas & Chemicals




Rahul               Bindlish       Dow Chemical
Rahul               Bindlish       Dow Chemical




Rahul               Bindlish       Dow Chemical



Zou                 Bing           Shanghai SECCO Petrochemical Co., Ltd.




Linda               Blankenship    Bechtel




Arjen               Blok           Fluor



                                   Brazilian Bioethanol Science and Technology
Professor Antonio   Bonomi
                                   Laboratory (CTBE)




Ken                 Boudwin        AspenTech
Bruce         Briggs     BP




José Câmara   Brito      Petrobras




Michael       Brodkorb   InProcess




Pamela        Buzzetta   C&I Engineering



Michael       Byerly     AspenTech




Art           Byram      KBR
John          Campbell   AspenTech




                         Shell/Cansolv
Matthew       Campbell
Williane     Carneiro   Braskem



Manuel       Chavez     Pemex



Chau-Chyun   Chen       AspenTech




Guofu        Chen       TAS




Jie          Chen       Momentive Specialty Chemicals, Inc.



Eric         Collier    Eli Lilly and Co. (Elanco)




Ernesto      Colombo    ENI/Polimeri Europa




Eric         Cordi      Pfizer, Inc.




B. K.        Datta      Bharat Petroleum Corporation Limited




Dhaval       Dave       AspenTech
Stefan    De Kok      AspenTech




Douglas   Decker      Chart Energy & Chemicals




Douglas   Decker      Chart Energy & Chemicals




Ashok     Dewan       Shell Global Solutions (US) Inc.




Prakash   Dharmani    Aegis Ltd




Vikas     Dhole       AspenTech




Drew      Dietrich    WorleyParsons




Glenn     Dissinger   AspenTech




Glenn     Dissinger   AspenTech
Glenn      Dissinger    AspenTech




Glenn      Dissinger    AspenTech




Glenn      Dissinger    AspenTech




Cristian   Dumitrescu   OMV Petrom S.A.




Steven     Dziuk        AspenTech




Steve      Dziuk        AspenTech




Robert     Ellis        Momentive Specialty Chemicals, Inc.
Andrea     Esposito     ENI




Javier     Fernandez    Canal de Isabel II
Laurent       Ferrarri   Total




Tom           Fiske      ARC Advisory Group




Matt          Flanagan   PBF




Michael       Folkes     Air Products
John          Ford       AspenTech
John          Ford       AspenTech




Alexandra     Fox        Lafarge




Christopher   Friedman   SABIC Innovative Plastics




Mark          Fusco      CEO, AspenTech

Mark          Gallant    AspenTech


Jeannie       Gardner    Shell

Jeannie       Gardner    Shell
Mike        Gibbs       VP/CIO, Refining & Marketing, IT & Services, BP




Kedar       Gidh        Air Products & Chemicals, Inc.
Sarah       Giles       AspenTech
Robert      Golightly   AspenTech




Mikhail     Gordin      SIBUR




Mikhail     Gordin      SIBUR
Gustaf      Gous        BluESP




John        Granados    EcoPetrol




Salvatore   Grasso      DuPont
Jim      Graves     BP




Ralph    Grob       Sasol Technology




Arne     Gulbraar   Billington Process Technology AS




Kelly    Harred     AspenTech




Kelly    Harred     AspenTech




Tracee   Herring    Dow Chemical




Terry    Higgins    Hart Energy Consulting




Jack     Hitchens   AspenTech


David    Hokanson   ExxonMobil Chemical Company




James    Holoboff   Process Ecology
Randall      Hoppe      Microsoft




Randall      Hoppe      Microsoft




Paul         Hughes     Sasol Technology
Richard      Hughes     Sabic-UK




Aaziz        Ikhmir     Total




George       Ikonomou   Applied Control Engineering
Changho      Jeong      SKEnergy




Changho      Jeong      SK Energy




Andrew       Jones      Genesis Oil & Gas




Norbert      Kail       BASF SE
Chang-Hoon   Kang       LG Chem
Venkata        Kapavarapu     Kuwait Oil Co.




Jong Joo       Kim            S-OIL




Ranjan         Kohli          Logexsoft




Prashant       Kokitkar       Eli Lilly & Company




David          Kolesar        Dow Chemical




Manolis        Kotzabasakis   EVP, AspenTech




N. B.          Kulkarni       Toyo Engineering India




Ramachandran   L.Lakshmanan   Bharat Petroleum Corporation Limited

Keith          Landells       BP
Deedra       Lawrence    KBR

Jim          Leatherby   AspenTech

Jim          Leatherby   AspenTech




Byoung-Min   Lee         LG Chemical




Anna         Lee         Buckeye Technologies, Inc.




Axel         Lehmacher   Linde AG




Dave         Litzen      Litzen Process Consulting, Inc.




Andres       Llorens     Techint Engineering & Construction




Antonio      Maganzani   Polimeri Europa




Guenther     Mahler      M+W Process Automation GmbH




Mayra        Marchetti   AESA-YPF
Paul        Mathias       Fluor




Andy        McBrien       AspenTech




Dan         McCarthy      AspenTech




Dan         McCarthy      AspenTech




Larry       McGray        Dow Chemical Co.




James       McNaught      TUV SUD Nel Ltd.




James       McNaught      TUV SUD NEL Ltd.




Steven      Medoff        DuPont

Norbert     Meierhoefer   AspenTech



Mike        Mendez        AspenTech




                          US Department of Energy National Energy
Dr. David   Miller
                          Technolgy Laboratory (NETL)
Hafiz      Mohsin        Petlin




Olga       Monterrubio   Pemex
Prabhu     Natarajan     AspenTech



Michael    Newgas        Parsons Corporation




Steve      Noe           AspenTech



Masashi    Okada         Hitachi Zosen




Ray        Pan           P&H Mining Equipment Inc.




Alok       Pandit        Equinox




Prashant   Parihar       Bharat Petroleum (BPCL)


Jae sung   Park          Honam Petrochemical Company




Kanubhai   Parmar        Reliance Industries
Kiran         Pashikanti   VirginaTech-Sinopec




Zeljko        Patljak      MOL




Swapan        Paul         Lurgi GmbH




Jeff          Pauls        Dow Chemical

Jim           Piana        AspenTech
Marc          Pijpers      Sitech



David         Platt        Dow Chemical



Frederick L   Potter       Hart Energy


Spotme        Presenter    Spotme




                           VP, Manufacturing Excellence, Performance
John          Prows        Products Division, Huntsman


Dr. Betty     Pun          Calera Corporation




Dr. Wu        Qing         CNOOC
                        Bharat Petroleum Corporation Ltd.
Pranab     Rakshit




Tom        Ralston      AspenTech




Tom        Ralston      AspenTech




Tom        Ralston      AspenTech
                        Mangalore Refinery and Petrochemicals Ltd
Karthick   Ramalingam




Kishore    Rapapurkar   Radiant Engineers




Carlos     Raspanti     Profertil S.A.
Carlos     Raspanti     Profertil S.A.




Ignacy     Rener        Rhodia



David      Reumuth      AspenTech
Elliott   Robertson           Burns & McDonnell Engineering, Inc.




Richard   Robertson           DuPont

Dan       Roessler            AspenTech

Dan       Roessler            AspenTech

Dan       Roessler            AspenTech



Laura     Rokohl              AspenTech



Laura     Rokohl              AspenTech



António   Rolo                Repsol




Karen     Romero              Pequiven




Eric      Roy                 Westlake Chemicals




Eva       Sanchez Fernandez   TNO Netherlands
Charles    Sanderson   Cargill, Inc.



Gilbert    Santiago    DuPont




Dorothea   Schwarz     Evonik




Dorothea   Schwarz     Evonik



Stephen    Seidman     DuPont




Partha     Sengupta    Shell




Nipen      Shah        Jord International




Ashish     Shah        Fluor
George     Shen           Air Products




Richard    Sherman        Supply Chain Council




DaeHo      Shin           SK Innovation




Russell    Smith          Dow Chemical
Alison     Smith          AspenTech
Alison     Smith          AspenTech




Josh       Stanislowski   Energy & Environmental Research Center
Williams   Steve          AspenTech




Jason      Stevens        Linde Process Plants




John       Stommel        Hovensa




Kouichi    Takeda         Taiyo Oil

Paul       Talley         AspenTech
TBD        TBD            Microsoft

TBD        TBD            BP

TBD        TBD            Various
Laine       Tedder           Buckeye Technologies, Inc.



David       Tremblay         AspenTech



David       Tremblay         AspenTech



David       Tremblay         AspenTech



Kazuhisa    Tsuchiya         Mitsui Chemicals, Inc.



Paul        Turner           AspenTech
Paul        Turner           AspenTech




Marilize    Van der Hoven    Sasol




Wim         Van Wassenhove   AspenTech

            Various




Dimitrios   Varvarezos       AspenTech




Lakshmi     Venkatesh        Petrofac Engineering India Ltd.




Jan         Versteeg         SABIC-Europe
David         Vickery              Dow Chemical




Vishwas       Wadekar              AspenTech




Vishwas       Wadekar              AspenTech




Marc          Wagner               Air Liquide




Harvey        Welker               WRE



Steve         Williams             AspenTech
Steve         Williams             AspenTech

Steve         Williams             AspenTech
Steve         Williams             AspenTech




Howard L.     Wilson               ConcoPhillips

Chai Bhat &   Wim Van Wassenhove   AspenTech




Adam          Wood                 AMEC Paragon
Malcolm   Woodman    BP Upstream
James     Wu         LyondellBasell




Khaled    Zayadine   BP

Hussam    Zebian     MIT




Jack      Zhang      AspenTech
                                  Presentation Title




Trade-offs between Optimization and Connecting Systems in highly diversified
business environment




Driving Enterprise Value With Polymer APC Across Multiple HDPE Manufacturing Units




Aspen Retail deployment in Sinopec for product oil secondary distribution optimization



OperLog Solution-Enabling Compliance and Optimized Manufacturing through IP.21




Petroleum Supply Chain Roadmap




Petroleum Supply Chain Roadmap Feedback




AspenTech Opening Plenary




Using DMC+ and dynamic Iqs




Use of APED at Evonik Degussa




Power Plant RTO

World’s Best Refineries



11 MPC's for polypropylene



Continued Success with Aspen Basic Engineering
Hydrogen Chloride (HCl) Separation System Optimization
New solutions in blending




Dynamic Simulation based Approach for Solving Operational and Design Issues




Tier Price Modeling for Optimization




Tier Price Modeling for Optimization
Update from the AC&O Board of Directors




A Real- Time Energy Management solution for a large petrochemical complex based
on Aspen Utilities Online Optimizer




Evaluation of Aspen Basic Engineering 7.2 for Process Engineering Deliverables




The Right Details at the Right Time




Virtual Sugarcane Biorefinery: concepts and preliminary case studies




Tyson Supply Chain Planner Applications
Use of the Hydrocracker Model for LP and Performing Uncertainty Analysis for
Validation




Modeling and Evaluation of Natural Gas Delivery Systems




Assessing Safer Blow-Down Options Using Dynamic Process Simulation




Improving Project Efficiency & Quality at C&I Engineering: Implementing AspenTech
Basic Engineering



AspenTech IT Platform Roadmap




Megaproject Challenges in the Middle East




V7.3 Overview and New Features




Cansolv Technologies Utilization of Aspen Plus for SO2 and CO2 Amine Capture
Processes
Benefits of Thermodynamic Adjust Methodology in Braskem Basic Petrochemical
Business using Aspen Plus



Efficiency Improvement for C2+ Liquids Recovery from Natural Gas




AspenTech – leading the understanding of modeling CO2 capture




Renewable Engineering of Energy Systems with Simulation and Rigorous Exhanger
Models




Advanced Scheduling - It's All About the Details



Blowing the Cap Off of Untapped Features




Optimizing the Base Chemicals Supply Chain at ENI/Polimeri Europa with MPIMS:
Implementation, Results and Outlook




Leveraging Aspen Properties for Enhanced Collaboration in Process Design




Supply Chain Optimization – A new approach at BPCL




An Approach to Management of Crude Preheat Train Fouling Using Aspen HYSYS
Petroleum Refining (including demo )
New User Interface Demonstration




MUSE to PlateFin: Reasons to Make the Switch




Modeling with Aspen Plate Fin Exchanger




Learnings and Best Practices From Application Virtualization (APP-V) Deployment of
AspenTech AES v7.1.2




Conversion of Product Based License to Token Based Aspne One MSC Suite




aspenONE Engineering Strategy and Direction




Project Execution Improvement through Systems Integration




A Brief History of the Use of Rigorous Process Models to Improve Process Operations
(including demo of ASW)




Aspen Online Deployment (AOD) - Vision and Demo
What's New in Aspen HYSYS V7.3




Demo of HYSYS - APC Working Together




The New Aspen Flare System Analyzer - Vision & Demo




Successful Refinery Monitoring and Operations with InfoPlus.21




Introduction to Production Planning - Tutorial and Demo




Support of Planning and Scheduling Using Aspen HYSYS Petroleum Refining – Vision
and Demo




A Roadmap to World-Class Advanced Scheduling




New approach to DMCplus maintenance: use of Adaptive Modeling tool to revamp the
furnace section of an hot oil controller




Using VMWare to deploy IP.21 for full water cycle supervision
Results of the Beta Test of Adaptive Modeling




Current and Emerging Compliance Initiatives




Leveraging Aspen Solutions to Support a Growth Phase Refining Company




High Performance Computing Environment for Aspen
The "Ins and Outs" of Shadow Costs
SCM and Agile Manufacturing




Successful Supply Chain in the Lafarge Cement Division



Meeting Compliance Challenges with Information Management Solutions in Plastics
Manufacturing




AspenTech Opening Plenary
Learn which sessions offer you top ‘cross-industry best practices’ that you can
immediately apply!

Collaborative Demand Management Improves Shell's Integrated Supply Chain

Collaborative Demand Management Improves Shell's Integrated Supply Chain
AspenTech Opening Plenary




Simulating Hydrogen Pipeline System in Aspen Plus
Usability Testing

Welcome Address




Supply Chain Optimisation and Planning at Sibur LLC (Russia)




Supply Chain Optimisation and Planning at Sibur LLC (Russia)




Aspen DMCplus on a MMM Batch Process




Implementing a Real Time Database in a Brownfield Oil Production Facility




Using Integrated Production Systems to Improve Performance
H2 APC Expands Performance




Integrated Process Design Workflow at Sasol Technology




Overpressure Protection of Oil & Gas Production Facilities




Professional Services Overview




Supply Chain Business Process Challenges




Using Training to Increase Employee Productivity




Global Refining Outlook - Challenges and Opportunities




Plant Scheduling with aspenONE Supply Chain




Steam Optimization Utilizing DMCplus




Model-based emissions management systems
Emerging Technologies: Taking Advantage of Leading Edge Solutions to Automate
Workflow and Speed Time to Insight



Emerging Technologies: Taking Advantage of Leading Edge Solutions in Your Supply
Chain




Am I Preaching to the Choir?... or … The Power of Dynamic Models for Plant and
Control Design



CLP in ACP SSC on revamp, LDPE



Unplanned disruptions in the supply chain – how would you react?




Project Methodology for Multiple Site Upgrade of InfoPlus.21 System




CDU Optimization Excellence




Optimizing Refinery A-Tower Control using Aspen HYSYS and DMCplus




Integrating Pipelines and Topsides – Linking Pipesim and HYSYS




Software Virtualization: Stable simulation environment for a full plant life cycle




APC and RTI Implementation in the Daesan ethylene plant of LG Chem
Project Optimization using Aspen HYSYS




S-Oil Onsan Refinery
Energy Saving Project




Supply Chain Data Harmonization




Modeling to Support Development of Continuous Processes for Pharmaceutical API
Manufacturing




Dow's Experiences Distributing AES in a Global Environment




AspenTech Opening Plenary




Design of a Convection Section for Dry Run Operation using Aspen Fired Heater




Operational Excellence Through Integrated MES

The Operator Interface is the Easy/Boring Bit - Right?
Using Indexing and Code of Accounts to Enhance Estimating
Applying Technology, Standards and Integration to Improve Asset Utilization Session
Introduction

Leveraging Resource Expertise across the Enterprise Session Introduction




Optimization of Operational Cost in Ethylene Plant by Energy Saving Study




Applying IP.21/Aspen Production Record Manager & Aspen Process Recipe to a
Leading Specialty Cellulose Facility




Using Aspen HTFS Research Network & HTFS Methods for Insight into Two Phase
Maldistribution Problems with Plate-Fin Heat Exchangers




Commercializing a Biochemical Cellulosic-Based Ethanol Plant




Using Automation with Aspen HYSYS to Size Pressure Relief Valves in Two-Phase Flow




Experiences Using ACCE to Analyze and Optimize Project Evaluation




Utilizing Integrated Reporting to Speed up Final Product Release and Increase Quality




Guidelines to Design and rate Existing Flare Systems when Adding New Hydrotreating
Units
Patterns of Chemical Process Modeling




Accelerating Project Execution with aspenONE




Demonstration of Economics in Lifecycle Phases




Demonstration of New Features in Aspen Capital Cost Estimator V7.3




Challenges and Opportunities of Estimating in China




Exchanger Design in Crude Oil Duties with High Water Cuts




Dealing with Instability in Thermosyphon Reboilers




Use of the Aspen Economic Evaluation Suite of Tools for FEL 1-3

Perstorp Leverages the Business Value of InfoPlus.21 Mobile




Learn Techniques for Efficient use of Aspen Plus in Renewable Energy Process Analysis




Overview of the U.S. Department of Energy's Carbon Capture Simulation Initiative
(CCSI)
Maximizing Return on Assets With Polymer APC – A Case Study in LDPE Manufacturing
Excellence




Cost Estimation Process at Pemex
Introduction and Overview of Product Management




Super Critical Waste Oxidation




Optimization in Design of Exchanger Series/Parallel Trains




Modeling ethanol dehydration process using zeolite membrane technology with Aspen
Plus to achieve energy efficiency



Using an IP.21 Virtualization Production System




Using Process Modeling to Support a Plant Relocation




Simulation and Optimization of Steam Methane Reforming using Aspen Plus




Honam Petrochemical Corp., Yeosu Energy Assessment and Total Site Study




Acrylonitrile Plant Performance Optimization using Aspen Plus
Predictive Modeling of Large-Scale Integrated Refinery Reaction and Fractionation
Systems: Catalytic Reforming Processes




Experiences of XPIMS introduction in INA from modeling perspective




Lurgi ABE Plant Configurator Modular Design




Use of APED 7.3 and Maintenance of Corporate Proprietary Physical Property
Databases

Supporting the S&OP Process with aspenONE Supply Chain



DMCPlus implementation in ACN, DSM DFI "Reduce the variance and shift the mean"

AC&O Success Story at Dow Chemical




Global Biofuels Outlook to 2020




AspenTech Opening Plenary



Scale-Up of The Calera Process for Carbon Capture and Mineralization from Flue Gas
from Power Production and Other Point Sources




Applying Technology, Standards, and Integration to Improve Asset Utilization
Performance comparison of high ash Indian coal under different gasification
conditions using Aspen Plus




Optimal Equipment Design & Aspen EDR V7.3 Improvements




Rigorous Simulation of Air Cooled Heat Exchangers Within Processes




Rigorous Fired Heater Modelis in Optimization of HYSYS Crude Distallation System
Models

Leveraging PIMS for Heat Exchanger Network Planning




Best Practice for Thermal Design of Shell & Tube Exchangers, a Manufacturer's
Perspective




Comprehensive Plant-Wide Real Time Optimization of a World-Class Ammonia Plant




Comprehensive Plant-Wide Real Time Optimization of a World-Class Ammonia Plant




Rigorous Simulation of a Thermosyphon Reboiler using Aspen Plus and Aspen Shell &
Tube Exchanger for Major Capital Savings

MSC Token Deployment - License Management best practices for today's plant
environment.
FEL-2 Optimization of Capital Cost of an NGL Facility Revamp




Recent DuPont Experience with ABE Integration

Compliance in Manufacturing Session Introduction

Effective Workflow and Order Management Session Introduction

Performance Management and Analysis Session Introduction



Welcome Address and Chemicals Supply Chain Track Kickoff



Sales & Operations Planning and Optimal Plant Scheduling Introduction

Aspen Olefins Scheduler deployment at Repsol Sines: achieving higher margins by
improving operational visibility




Optimizing a Propane-Propylene Splitter in an Olefins Plant




Using Aspen Exchanger Design and Rating Program to Analyze and Resolve Vibration
Problems in Shell and Tube Exchangers




Process Development of CO2 Capture Systems Based on Amino Acid Salt Absorption
Liquid with Aspen Plus
Model Toolset for Breweries



Life Cycle Management in the InfoPlus.21 Space




Value of Integrated Exchanger Design in Process Simulation




ISO 15926: How We Benefit from a Data Model



Increased Project Efficiency with Aspen Basic Engineering




Achieving Effective Integration between Planning and Scheduling




Optimizing Air Cooled Heat Exchanger Design




Project Design Engineering Systems: Implementation Challenges and Best Practices
APC Program Management for Better Efficiency and Sustainability




Competitive Imperatives for Global Supply Chain Management: Keeping SCOR in Your
Supply Chain




Polymer Process Optimization




Dynamic Safety Study for Equipment Venting
Aspen SCM Product Update
Aspen SCM Beta Program




Modeling and Cost Evaluation of Carbon Capture Processes for Coal-Fired Power Plants
Closing Address




Open Book Estimates with Capital Cost Estimator




Best practices in developing optimal operating plans.




Integrated Planning, Scheduling, and Simulation System for Margin Improvement in
BTX Production

The Data Deluge
The value of the Microsoft/AspenTech alliance

Crude and Refined Product Scheduling and Inventory Optimization

Best Practices in Distribution Planning and Asset Optimization - Panel Discussion
Creating Reliability through System Redundancy for InfoPlus.21 at a Leading Specialty
Cellulose Facility



What's New in Aspen Plus V7.3



Integrated Costing Demonstration



Access to Experimental Mixture Property Data through NIST TDE




Development of an Operational Offline Optimization System for a Utility Plant
Operator Interfaces and DCS Integration Working Session
APC Roadmap




Gas-To-Liquids Capital Cost Estimating Using ACCE




Streamlining Appraisal of New Oil and Gas Separation Facilities (including demo)

Customer Best Practices with aspenONE Engineering




PIMS on the Cloud - A New Planning Paradigm




Impact of Exchanger Design on LPG Recovery Process




Applying Aspen Production Execution Manager/IP.21/Aspen Production Record
Manager to a New Build Special Compounding Plant
Use of Integrated Costing in Conceptual Design




Overview of Aspen HTFS 2011 Research Progress




Rigorous Simulation of Plate-Fin Heat Exchangers in Aspen HYSYS Process Models




Harnessing the Benefits of Aspen HTFS Research Network




Key Parameters that Affect Estimating Quantities

Examining How PM&E Compliments the Entire aspenONE Manufacturing Supply Chain
Portfolio

Roadmap Introduction
Welcome to Optimize 2011
Product Management Overview




A Correlation for Predicting the Viscosity of Heavy Oil Fractions and Residues

Demo for Green House Gas (GHG) Calculations in Aspen Plus and Aspen HYSYS




Design of Topside Facilities using Aspen HYSYS and Aspen Flare Analyzer
Business Benefit through the Integration of GAP and Aspen HYSYS, via a CAPE-OPEN
Interface




A novel approach to the design and implementation of multivariable process
controllers for C3 fractionation columns




Optimal Feedstock Selection and Trading Strategies



Oxycombustion Optimization




See how Aspen Energy Management solutions help you reduce energy cost
                                                                      Presentation Description
Theory and practice for PIMS positioning in decision making system - A continuously expanding company size requires corporate executive to reconsider
their decision making logic, which represents the triangle of interconnections among optimization, scheduling and execution. These processes’ own
characteristics is the revision of existing decision supporting system, reconsideration of the task and responsibility share with associated systems,
furthermore the implementation of solutions. This presentation is covering a relevance evaluation of PIMS in a 7 plant system, what can be represented
with overlapping interest area and huge business diversity. The aim is to present a logic, which is able to analyze the relevance of the software and helps to
reposition it. It is focused on the multileveled corporate governance via introduction of multilevel optimization system
PTT Chemicals and one of its major shareholdings (Bangkok Polyethylene) have rolled out nonlinear polymer advanced control across several of their high
density slurry polyethylene units. Standardization across the enterprise was a key enabler of technology collaboration, knowledge transfer and efficient
implementation. The results vary across the product slate of more than 20 polymer grades and 3 catalyst types (including mixed catalyst schemes of 6
different concentrations.) This paper will present results from across the product mix for the key controller objectives which include 55% reduction in
quality variability, 0.57% increase in yield, 19% reduction in catalyst consumption, and a significant reduction transition off-spec that has yet to be
quantified. In addition, operations leveraged accurate inferentials (that lead the lab results with little dependency on laboratory feedback during
transitions) in order to pro-actively switch silos in order to optimize their silo blending and inventory management.
This paper outlines how Sinopec successfully implemented and deployed Aspen Retail solutions for their product oil secondary distribution network system
across China, which covers 350 plus tank farms and 27000 gas stations. Relying on Aspen Retail system, Sinopec sales company do the replenishment to the
gas station outlets proactively everyday with centralized dispatching and optimizing of fleets. Benefits achieved : 1. Reduce gas station inventory by around
20% 2. Fleet usage improvement up to 20% 3. Shipment cost reduced at rate of 0.10 RMB/Ton.KM
One common challenge to achieving consistent workflow compliance is manual data entry. ACo developed the OperLog solution with advanced capabilities
of InfoPlus.21 to eliminate paper reports, remove manual errors and reduce data entry repetition in a cost-effective, low maintenance solution. Additional
benefits include improved employee efficiencies and increased data consistency.




This session will lay out Aspen’s short term roadmap (V8 and intermediate releases) and also lay out Aspen’s strategy in taking our petroleum supply chain
solutions to the next generation. Product planning is an integral part of Aspen’s development process and this session will throw some light on our product
planning for our petroleum supply chain products (e.g. PIMS, APS, MBO, AOS among others).




This session will provide attendees an opportunity to provide feedback to the AspenTech Product Management on the future product roadmap.




A case study and learnings from implementing a dynamic inferential in AspenIQ and using the steady-state prediction in DMCplus.

In 2009 Evonik Degussa started to test the feasibility of the APED concept. Based on an in-house VBA-Tool, a workflow for an automized parameter import
from existing simulations was established. Our goal is to provide and maintain individual databanks for different Business Lines within Evonik Degussa. Our
achievements and further expectations shall be presented.
The Dow Chemical Company's Energy Business has installed Advanced Control & Optimization systems at the power plants at six of its manufacturing sites,
globally. Through successful innovations that enabled the plant to respond to the challenges of rapid power price changes, power scheduling requirements,
and varying equipment constraints, the Dow Energy AC&O team has successfully delivered savings ranging from 3-15% at each of these six sites. This
presentation will highlightis the result of an analysisDow's Energy AC&O team. refinery database spanning 16 years of data covering 300 refineries. The
"World's Best Refineries" the accomplishments of of the Solomon worldwide
analysis identifies the characteristics of the world's best refineries and key performance metrics in the areas of Energy, Maintenance, Operating Expenses
and Personnel.

At SABIC's Polypropylene plants in Geleen, The Netherlands we implemented 11 APC controllers of which two non lineair (Apollo). They control
temperatures, concentrations and qualities of four polymeriation reactors from two PP lines. It was implemented fully inhouse bij SABIC.
Shaw Energy & Chemicals have achieved continued success with Aspen Basic Engineering. This presentation will build on past reports of progress and
describe the benefits that they have achieved from ABE in three areas: Integrating multiple disciplines in different locations, streamlining the delivery of
licensed technologies, and promoting agility and flexibility in staffing projects to spread resource loading and expedite project initiation.
Tessenderlo’s Vinyl chloride (VCM) site in Belgium uses a, “refrigerated continuous distillation” system to separate hydrogen chloride HCl from VCM.
AspenTech’s simulation technology modeled the HCL Separation section of the 275kta “VCM-2” plant to identify energy savings and debottleneck the
column. The result was energy savings equivalent to 200 k€/y.
This demonstration will focus on new solutions and features with AspenTech products as a tool for solving operational and design issues. Here dynamic
Several case studies will be presented to demonstrate the benefits of dynamic simulation
simulation using HYSYS is used not only as a validation tool but it provides powerful insight into problem areas which will otherwise be missed. Some of the
examples that will be discussed are • Typically rotating machinery vendor decides the design torque requirements for compressor drives. It is extremely
beneficial for the project if process engineers investigate torque and horsepower sufficiency during compressor start-up at off-design, settle out and high
discharge pressure conditions. This can significantly reduce downtimes and start-up bottlenecks. • Validation of compressor settle-out pressure against
steady state or manual calculations. • Design and adequacy checks of compressor quench system. Quench is used during transient conditions like
compressor start-up and process upsets when the compressor goes to recycle. • At startup feed conditions were significantly different from design
conditions leading to inadequacy of existing equipment. Dynamic simulation was used to identify the inadequacies and to solve with minimal hardware




This paper presents the development of a mathematical formulation for modeling tier pricing associated with different product flows in AspenPlus. The
formulation along with the standard EOTIER model is able to cross tier boundaries for monotonically increasing/decreasing objective function, and find the
resulting correct optimum solution.




This paper presents the development of a mathematical formulation for modeling tier pricing associated with different product flows in AspenPlus. The
formulation along with the standard EOTIER model is able to cross tier boundaries for monotonically increasing/decreasing objective function, and find the
resulting correct optimum solution.
Introduction of the AC&O Board of Directors and recognition of our Webinar series speakers




Reliable/low cost supply utilities are important in integrated refining/petrochemical complexes. Utilities serve all processes in the plant; steam, electricity;
fuel gas and purchased gas. This presentation will describe the complexity and constraints of the system as well the flexibility available for optimization, and
benefits and results obtained so far.
The quantity and variety of deliverable documents that Bechtel Process Engineers are expected to create for any project, from Design Package to FEED to
EPC, provides a robust challenge to produce high quality, consistent documents in a timely manner. Bechtel Process Engineering has chosen to evaluate
Aspen Basic Engineering (ABE) for implementation at this time, in order to help achieve quality and consistency goals for Process Engineering documents.
ABE is also plug-in compatible with Intergraph SmartPlant Foundation which will support better collaboration with other engineering disciplines. Bechtel has
chosen a phased approached to the evaluation of ABE with the expectation of implementing ABE in our standard work process. This paper discusses the
driving factors for a new approach to the Process Engineering work process, the results of Phase 1 of this process, and our expectations for future Phases of
development and implementation.

Do we still have the right balance between estimate accuracy and the details we believe we need have as basis? Do we still have the right balance between
the cost for doing an estimate and the purpose it serves? This presentation will cover an ongoing, unstoppable trend in the industry, which demands
estimates to be based on more details than ever before, yet at the same time it is very questionalble if all those details created by engineering and/or
parametric estimating models are of influence on the estimate accuracy.




A tool to evaluate biofuels production routes using sugarcane as raw material is under development integrating Aspen Plus®, SimaPro® and electronic
spreadsheets. This tool, Virtual Sugarcane Biorefinery (VSB), allows the comparison of production technologies regarding bioethanol, sugar and
bioelectricity production and their economic (internal rate of return and production costs) as well as environmental impacts.




Tyson Foods has successfully applied Aspen Supply Chain Planner in a variety of applications for their beef and poultry businesses. This presentation
focuses on two applications in Tyson’s poultry business. The applications used Aspen Supply Chain Planner as their starting point, but both required
customization in order to meet all the business needs. We describe the customization and show the strong foundation that Aspen Supply Chain Planner
provides, even for applications that require customization. We then conclude with a discussion of the business benefits.
The usage of hydrocracking and other process models to update the refinery Linear Planning model (LP) requires collaboration from many sources to enable
site acceptance. Cooperation from the operations, technical, and planning teams are crucial to develop the process models and robust LP sub-models to
insure safe and reliable operations. MIT have developed tools that can quantify uncertainties in plant data and model predictions, and help illucidate
statistically significant performance differences between the operating plant, LP representation of the plant and the actual hydrocracking process model.
These uncertainty tools have guided us to reconcile differences between daily operating data with that of the hydrocracking process model. As we reconcile
these differences, the tuning targets are corrected within the tolerance allowed to improve the tuning capability of the hydrocracking model. The
hydrocracking model allows us to simulate conditions outside normal refinery operation ranges but still within the design operating envelope. The
uncertainties between the LP sub-model and the hydrocracking process model are identified over the module, a regulator module envelope so that their
Petrobras’ gas distribution points are skid-mounted units. These include a filtering module, a heating entire unit design operating and a measuring system
for custody transfer. While it is necessary to decrease the gas delivery pressure to the consumer, it results in a temperature reduction (Joule-Thomson
expansion). This natural temperature dropping effect can lead to harmful consequences in operations such as gas condensation, hydrate formation, as well
as condensation of air humidity, with ice formation. Therefore, a heating module was installed to raise the temperature of the gas before pressure drop
occurs due to gas expansion inside the control valves. The outlet temperature of the gas in the city gate exit is monitored by a "override" control system
which analyzes the temperature in the immediate exit of the heater (restriction variable) and the final temperature of the gas to be delivered to the
distributor (primary variable). There are two sequences of regulatory valves in parallel to achieve the desired pressure at this point, which then ensures the
correct delivery pressure, followed by a flow measurement at the end of each branch. Aspen HYSYS Dynamics® was used to evaluate the control system



The flare systems of processing plants in the oil and gas industry are constantly under examination; e.g. when new plants are built and connected to an
existing flare header, when existing plants are extended, or when new regulations have to be applied to an existing system. Often, dynamic analysis of the
flare system or the flare gas sources can relieve an apparently bottlenecked flare system. In recent articles the benefits of analysing the transient behaviour
of flare gas sources during an emergency situation or a normal blow-down have been examined. This paper now extends the scope of the dynamic
simulation from the flare gas sources to include the flare header in order to account for the transient behaviour inside the header and describes the
different phenomena that are to be taken into account when doing so. This approach has been recently applied to analyse and improve the blow-down
strategy for an existing Gas Utilisation Plant of Wintershall in Libya and the results of that project are discussed as an example of the potential of the
dynamic approach.
This presentation compares C&I Engineering’s current workflow and data management to the new system instituted by AspenTech Basic Engineering (ABE).
Implementing ABE will improve project efficiency and quality. C&I’s current data management system is subject to inefficiencies and inaccuracies including:
repeated entry of data between systems utilized within the project team, minimal communication or synchronization between project tools, lack of
standard datasheets and calculation sheets, and ineffective communication of project changes between team members. Poor data management can create
quality problems such as increased costs, inaccurate designs, and delayed schedules. To mitigate these issues, C&I is implementing ABE, which will manage
process information consistently throughout the engineering lifecycle, improve design quality, ensure as-built accuracy and ability to recycle operating
information for future designs. C&I will execute the project in stages over three years. ABE will contain management of data from initial entry through multi-
engineering discipline end use.

This presentation will cover AspenTech's plans to support key IT infrastructure components including client operating systems, server operating systems,
databases, browsers, Microsoft Office, mobile devices, virtualization platforms.




In this session we will discuss the current drivers that influence and create the challenges of estimating mega projects in the Middle East. We will briefly
examine the current driving forces of the principle elements causing the challenges and how ACCE can help mitigate the risks. The elements that will be
discussed are: 1) The availability of high value (lower cost) engineering centers; 2) Competing markets resulting in lower material pricing; 3) Competing
markets resulting in lower field labor cost; 4) The current economy and the resulting “supply/demands” in the Middle East market.




Michael Harmse, APC Product Manager and John Campbell, Director of Development for APC, will give and overview of the improvements in release of V7.3



Cansolv developed an Aspen Plus Model for CO2 Capture. This focused on proper data acquisition of physical properties, execution of a data fitting or
regression activities to create a consistent modeling tool. These processes enabled acceptable commercial designs and then validating them with
commercial and pilot plant data.
Methodologies for adjusting thermodynamic properties using Aspen Plus have been applied to different Braskem’s process units over the years. This paper
presents how rigorous selection of thermodynamic models and parameters adjust for simulation of such petrochemical plants could lead to significant
benefits: revamp accurate project, production increasing, operating costs reduction, effluents and emissions decreasing, energy optimization, operational
problems troubleshooting, increase the value of different products, and real time optimization implementation. This methodology was applied to an
isoprene revamp project, making possible to develop a model using Braskem’s technology. The plant capacity was increased in 40%, by applying streams
recovery and waste reduction. Another example is the simulation of BTX extraction unit using Sulfolane, which allowed comparison of different
technologies and implementation of process and operational improvements, i.e. significant enhance in operational periods and energy consumption
reduction, around US$ 2 million/year, taking the units to the first energy consumption quartile in the benchmarking analyses. The same methodology is
being replicated to another unit, with aGas Processing of energy consumption and capacity increase foraboutwell below its originally designed capability of
Cryogenic Unit N° 1 at Ciudad Pemex’s potential gain Plant was working at an efficiency of 76.72% of C2+, US$ 4 million. Recently, the design
81.94%. Once the Aspen Plus simulation model was updated to reflect the plant’s current operating conditions, it showed low efficiency in a heat transfer
unit, which was adjusted according to results of a new simulation model. The overall results were an improvement in production of 815 thousand barrels
per day, representing an annual profit of USD 7.6 million.




AspenTech is an engineering company seeking to help solve the process industries toughest challenges. Managing CO2 and green house gas generally is
evolving as one of those tough challenges. We have brought together companies that are using our solutions to address CO2 capture.

This presentation describes how to utilize Aspen HYSYS optimizer and Aspen EDR to improve electricity output and to reduce the cost in the renewable
engineering field. First, the process model in HYSYS is setup based on the best engineering practice. Second, HYSYS optimizer is utilized to maximize the
electricity output, subject to some constraints, such as shell and tube exchanger pinch. Third, EDR is used to size the most cost effective exchangers based
on the optimized process model in step two. Now the electricity output and the actual exchanger geometries and the cost are known. Finally HYSYS
optimizer and EDR are utilized to rate the whole cycle and find the most optimum operating point to generate the maximum electricity output. If desired,
further tuning of the exchanger size and case studies can be done to find the best compromise between the performance and the cost.

The presentation includes a high level discussion of Momentive Specialty Chemicals use of optimization as a decision support enabler in the Global Supply
Chain Scheduler(GSCS). Complex decisions are managed over a 60-90 day scheduling horizon in the GSCS through the use of LP and MILP optimization,
Sequence Optimization, expert system rules and intuitive user interfaces. Examples are provided in concept of how each of the various technologies
mentioned above are used by Momentive in its GSCS template.
Like many organizations, Eli Lilly has done an initial basic AMS implementation using IP.21 as a data historian and Process Explorer for process analytics. This
presentation will show how Eli Lilly has undertaken an incremental project approach to expand the system with APRM, the APRM extractor, Batch SPC, and
RBV.




At the AspenTech 2010 UGM Polimeri made a presentation named “Enabling the Economic Optimization of the Base Chemical Supply Chain in Polimeri
Europa” describing the objectives and implementation approach envisioned for that initiative. The project’s underlying PIMS model was completed in
September 2010 and the system has been in use since then. This year’s presentation will review and make a balance of the project, namely the
implementation approach used to address Polimeri’s specific requirements and circumstances. Examples will be provided describing how PIMS has pointed
to operation modes different from the established, with the corresponding benefits. Lessons learned and future development ideas will be discussed.



Pfizer has significantly improved access to Aspen Properties for conceptual process design. A combination of custom-designed spreadsheet applications for
unit operation design and installation of AspenTech server applications provides a wide array of users immediate access to important property data.
Distillation and Extraction Predictive Tools, designed for Aspen Properties via Excel, have found wide acceptance among project teams for accelerated
process development. Aspen Web Properties and Mobile Properties provide seamless access to information that propels innovation and collaboration to
new levels.
In this dynamic market, operating refineries efficiently is no longer a local problem. The petroleum supply chain has become more interdependent on global
markets and crude supply sources. Bharat Petroleum Corporation Ltd (BPCL), a fortune 500 company, has two coastal and two inland refineries in the Indian
subcontinent, and faces all the typical supply chain challenges. BPCL embarked on a journey to improve and optimize its supply chain operations to
maximize net corporate profits. BPCL, with leading edge, software technology from Aspen Technology and Microsoft, improved work processes that
brought about a distinct change in BPCL’s operations. The approach is to support internal supply chain business processes and mitigate the integration
challenges between planning and execution. BPCL derived benefits from an integrated solution by increasing the production of products with higher
marginal contribution (e.g. Bitumen), and reduce or discontinue production of products with lower or negative marginal contribution (e.g. Furnace Oil, Light
Diesel Oil, heat exchanger surfaces reduces the rate of heat transfer in heat recovery systems requiring more energy to be consumed from primary sources.
Fouling of etc).
In refinery applications this means that more fuel must be burned in the furnaces, increasing the cost of production and the increasing emissions of CO2. If
the furnace is bottlenecked (at practical operating limits) then the operator will be forced ro reduce feed throughput with a major impact on profitability.
Heat recovery from pump-around streams is present on most key refinery units including atmospheric and vacuum crude distillation, FCCs, delayed cokers,
hydrotreaters etc. and the world-wide cost can be estimated at 10sB$/year. In the UK for example it has been estimated at $450M - $750M/year.
Management of fouling in crude systems hinges on decisions around on-line and off-line cleaning and essential to these are effective monitoring of
exchanger fouling. In this presentation, we describe a framework in which Aspen HYSYS Petroleum Refining can be used in conjunction with Aspen Shell &
Tube Heat Exchanger and Aspen Simulation Workbook to monitor the preheat train heat exchanger performance and establish which exchangers can be
Live demonstrations of the upcoming new user interface, which will mark a step change in the user experience for our supply chain customers.

Not only is the Aspen PlateFin interface different from MUSE but it also provides a new calculation structure, removing limitations inherent in the MUSE
methods and providing a basis for a more extensive range of calculations. This presentation reviews cases where the PlateFin results are superior to MUSE.
Exampleshas a depth of capability to design and rate plate-finMove exchangers.Location the user requirements for design and simulation, both standalone
Plate Fin include: • Hardway Serrated Fin • Redistribution • heat Distributor Most of
and with HYSYS process simulator are effectively addressed by the program. However, at times, for specialist needs additional functionality would be useful.
PlateFin’s link to Excel provides the extensibility to meet many of these specialist needs. This presentation reviews some applications where linking Plate Fin
to Excel provides good value. Examples include • calculating isothermal flow test performance, • filling in custom equipment data sheets and • calculating
equipment cost. The background of isothermal flow tests at Chart is as follows. In the days of salt bath brazing and reversing heat exchangers an isothermal
flow test measured and confirmed whether a heat exchanger had sufficiently removed the salts to meet the important low pressure drop requirements of
reversing service. Today, even though cores are vacuum brazed and no salts are used, some customers pay for an additional flow test to confirm pressure
drop expectations. Basic data like temperature, barometric pressure and pressure drop are measured and the results are compared with calculated values.




In 2010, the AspenOne Engineering Suite (AES) v7.1.2 was deployed globally within Royal Dutch Shell companies using Microsoft's Application Virtualization
(APP-V) deployment. Many learnings and Best Practices resulted from this large-scale deployment.

This presentation will revisit the highly successful rollout of AES v7.1.2 within Shell, highlight some of the benefits accruing to Shell, and what we learnt to
do, or not do, for APP-V deployment.

We plan to continue down the APP-V path in 2011 when v7.3 AES becomes available to us.



Essar Oil had been using Aspen Engineering & MSC Products since past 4 years having access to a limited number of products. With Essar targeting
acquisition and rapid expansion in Energy space (Oil, Gas and Power) it become imperative that all the Essar Group IT systems are standardized , flexible
and scalable. Come hear how Essar deployed the MSC Suite token system achieve their goals.




The Optimize Engineering Plenary covers AspenTech Engineering Suite update, forward direction and customer best practices.




WorleyParsons will present the drivers, objectives and benefits to project execution using integrated tools sets like aspenONE Engineering Suite and others.




Aspen Online Deployment enables the use of process models in plant operations for a wide range of real-time process monitoring, soft sensor, and operator
advisory applications. A demo of AOD and the vision for his product will be presented.
Aspen HYSYS V7.3 has significant new capabilities and functionality that will benefit both the refining and oil & gas production user communities. Many of
these new capabilities will be presented in “deep-dive” demos planned for other tracks during the Conference. In this presentation, an overview of the new
capabilities will be given.




For V7.3, Aspen Flare System Analyzer (formerly known as Flarenet) has been modernized with a new Graphical User Interface, many new “ease-of-use”
features, and a new underlying architecture and hydraulics capabilities that will enable the support of dynamic flare system models in the future. The vision
for Aspen Flare System Analyzer and a demo of the new V7.3 User Interface will be presented.




Most of the organizational day-to-day refinery business decisions rely on online process data availability. This presentation will discuss the IP21 process
database implementation project, the features developed around the system and its critical positive impact on refinery monitoring and operations.



Refinery profitability is determined using refinery-wide models in planning and scheduling. The planning and scheduling models need simplified but
accurate models for the performance of the crude distillation and conversion units. Engineering models condition plant data into simplified forms used in
planning and scheduling. This presentation will provide a brief tutorial on these workflows.



Aspen HYSYS and Aspen HYSYS Petroleum Refining provides new features that have been designed to make the workflow of updating your refinery
Planning (Aspen PIMS) and Scheduling (Aspen Petroleum Refinery Scheduler) models easier and simple. A demo of these new features and workflow will
be given. of Momentive’s success story of rolling out a new configurable scheduling solution to more than 50 sites worldwide in 2.5 years. The roll-out
A summary
included using Aspentech's PSEO offering to develop a configurable advanced scheduling template called the Momentive Global Supply Chain
Scheduler(GSCS). The new GSCS has been used to replace 30 legacy scheduling models as well as being installed in 24(and counting) new sites across
Momentive's global business. Discuss Momentive’s technology road map that shows the progression of steps to broaden the scope and function of our
advanced scheduling tools from their early introduction in 2001 through the development of the latest release of the GSCS in 2011 and beyond. Discuss
how metrics have played and continue to play an important role in measuring schedule performance and facilitating continued improvements to both the
scheduling process ENI’srelated technologies.
In November 2010 and Livorno refinery carried on a pilot Adaptive Modeling project concerning a DMCplus application for refinery hot oil complex.
Besides testing the new adaptive modeling features, the objective of the project was the revamping of a controller section that had been out of service for
months due to model quality degradation over time. Within the scope of this controller section there was the efficiency control of the main hot oil furnace,
for a total of six MVs (four dampers and two blowers). It took no more than two days of work to complete the task. At first, Smartstep testing was started
for the relevant MVs and a Model Quality case was assembled and run to assess old model quality, that turned out to be poor. AAM Model Identification
was run at regular intervals and after a full day of test moves model identification was completed with satisfactory levels of model uncertainty and signal to
noise ratio. Identified models were put online and a new Model Quality case confirmed that they were performing well. This activity delivered the benefit of
restoring with low effort the efficiency control for the furnace, decreasing levels of excess oxygen after commissioning. This pilot project was also useful to

Canal de Isabel II uses VMWare virtualization with IP.21 and soon will be synchonously replicating their servers in their backup center. Javier will review
their systems architecture and their plans to evolve it in the upcoming years, including
- Integration with GIS & CMMS
- Creation of a Datawarehouse including SCADA and operations data.
- Alarm management automation
Laurent Ferrari has been beta testing the adaptive modeling features. His will discuss his findings and his suggestions for future enhancements.




This presentation will discuss trends across industries related to current and emerging compliance initiatives.




 PBF Energy is a start-up U.S. refining company in rapid acquisition mode. With a business model that leverages third-party partners to manage crude and
products logistics, PBF is utilizing Aspen solutions to ensure the optimal operation of its refineries, and to enable the timely flow of information among its
partners
Air Products has always utilized a server-based computing environment for Aspen Plus, in addition to supporting local PC deployment. In 2008, Air Products
adopted a server deployment using Citrix XenApp. This presentation provides an update on how the Citrix server farm has adapted to changing business
requirements and IT trends including: Hosting additional AES applications, Hosting additional 3rd party and internally developed applications, Use of
physical vs. virtual servers, and Corporate directions toward Zero-footprint applications (reducing local PC software installs, moving toward web-based
computing, more user flexibility in user computing devices).




Supply Chain activities in Lafarge’s Cement Division target to meet customer requirements and provide our customers with best delivered costs always
keeping in focus the health & safety of our employees and stakeholders. Core functions in supply chain management involve the establishment and
improvement of customer service, forecasting, planning & scheduling, transportation & logistics as well as network optimization on local and regional levels.



This presentation is a case study in common manufacturing compliance challenges and how Sabic-IP addressed these with aspenONE PM&E solutions. It
includes a review of specific difficulties Sabic encountered and how these issues were resolved. Key information management considerations including
redundancy and utilization of store and forward capabilities will also be examined.




This session will explore the approach Shell is using to manage demand forecast and demand management activities within its integrated supply chain.
Shell will discuss business processes and key value areas, while presenting a picture of the transformation over five years of how CDM helped Shell reach its
vision and goals explore the approach Shell is using to manage demand forecast and demand management activities within its integrated supply chain.
This session will
Shell will discuss business processes and key value areas, while presenting a picture of the transformation over five years of how CDM helped Shell reach its
vision and goals
As an owner and operator of many industrial gases facilities, Air Products supplies hydrogen in various regions from a pipeline, linking one or more of its
production plants to many tonnage customers. Meeting multiple customers’ pressure and flow specifications from a single pipeline system is a balancing act
which requires optimizing plant operations to meet the demand. By determining optimum inlet pressures, from various plants to the pipeline, operating-
cost savings can be achieved while meeting contract terms. Aspen Plus can be effectively utilized to simulate a Hydrogen Pipeline system as explained in this
presentation. Pipe model accurately calculates the outlet pressure based on pipe characteristics. Pipeline tees are effectively simulated using FSplit and
Mixer models. Using optimization capabilities in Aspen Plus, inlet and outlet pressures can be calculated for known inlet and outlet flow rates. Results from
the Aspen Plus simulation were compared with an off-the-shelf pipe network modeling program and matched very well.

Hear from AspenTech's expert on usability testing. Gain insight into AspenTech's internal processes for testing the new user interface and how you can
Opening address to the APC community. We'll introduce some of the key players and cover the logistics for the event. We're using a new technology for this
event. We'll introduce you to the technology and discuss how we'll use it.




In 2009, Sibur started with a supply chain transformation program to achieve Supply Chain Excellence across the organization in partnership with Accenture.
Before start of this program, SIBUR has been using Optimization in the monthly planning processes and has more than 5 years of experience in using such
technology/processes. The presentation will outline the production driven supply chain solution, developed jointly with Accenture, which enables the
various stakeholder departments of organization to function in a tightly integrated and cohesive manner. It discusses background, business pain points,
project approach, solution, expected benefits and challenges of the above program.
M. Gordin, SCM Project Lead, Sibur LLC I. Birukova, Partner, Accenture Russia P. Patel, Accenture Plant & Automation Solutions, Accenture UK Limited
SIBUR is the leader of Petrochemical Industry in Russia and Eastern Europe. The Company operates across the entire petrochemical process chain starting
from gas processing to the production of monomers and plastics, mineral fertilizers, tires and industrial rubber items, as well as the processing of plastics.
SIBUR produces over 2000 different brands of products. In 2009, SIBUR Group plants processed 16,8 billion M3 of Associated Petroleum Gas (APG) and
produced 15 million tons of petrochemicals. Sibur started with a supply chain transformation program to achieve Supply Chain Excellence across the
organization in partnership with Accenture. Before start of this program, SIBUR has been using Optimization in the monthly planning processes and has
more than 5 years of experience in using such technology/processes. Sibur management has since been embarking on regular bench marking of the
organization, processes and technology with the help of consultants like Accenture. The first phase of journey covers unconstrained Demand Management,
Volume Planning (long and short term Operation planning as well as logistic planning), Calendar planning (Scheduling), Inventory Deployment,
Transportation Management supported by Aspentech and Oracle’s software products. The organization follows the integrated supply chain procedures
between local plants (total 42 production locations) steered by headquarter. The presentation will outline the production driven supply chain solution,
developed jointly with Accenture, which enables the various stakeholder departments of organization to function in a tightly integrated and cohesive
manner. It discusses background, business pain points, project approach, solution, expected benefits and challenges of the above program.




BluESP has been successful in deploying APC in the MMM industry since 2008. They have implemented controllers on a wide range of processes including
batch reactors, batch and continuous
reactors, coal fired boilers, flotation plants and ball and autonomous grind mills. Specific challenges
and solutions to these processes will be discussed.

When EcoPetrol took over the existing Cupiaga Operations, the legacy DCS and information system restricted the quantity and quality of data available.
This presentation reviews the Aspen InfoPlus.21 implementation and how it delivers value by providing information access to both field and remote
headquarter personnel.




This presentation shares DuPont's experience using integrated production systems connecting ERP and MES platforms with standardized data and business
management functions to improve production execution performance. It also addresses DuPont's manufacturing solution architecture, using S-95 concepts
to define key business process capabilities and assembling application components into targeted industry solutions.
H2 Controller expands paraxylene unit performance through innovative use of DMCplus with regulatory controls: use of Smartstep for efficient testing, use
of new DMCplus interface to Experion C300 controllers, use of pseudoramp variables and use of two predictive controllers (advanced algorithms in C300) as
MVs. This APC project paved the way for the most stable and reliable operation of the H2 unit ever performed. The complex dynamics of this process were
easily modeled using subspace and FIR models in DMCplus model. The cost reduction benefit expectations were met. These benefits add to already large
benefits created by other DMCplus applications on the paraxylene unit. Furthermore, the DMCplus controller was strongly accepted by the operators.




The use of Aspen Simulation tools and the integration of process simulation, heat exchanger and costing applications while providing conceptual design
packages at Sasol Technology to the arrangement with basis in are importantsolutions accordingSasol's design gate processes.
Overpressure protection of the inlet Sasol group of companies conventional to the progress of to API Std521/ISO23251 is discussed with focus on
challenging situations imposed by long subsea tie-backs to an oil & gas production facility. Dimensioning cases to consider according to the international
standards mentioned are (i) inadvertent opening of inlet block valves with production choke fully open and (ii) “choke collapse”. A method of utilizing
integrated dynamic multiphase (“OLGA”) and process simulations (“HYSYS”) to design such a system is demonstrated. Based on the experience of using an
integrated dynamic multiphase/process solution, several benefits have been observed compared to other methods, such as a pure static approach as well
as stand-alone multiphase simulations. The improved model and the improved understanding of these scenarios, contributes to more realistic design cases
which reduce the need for over-conservative assumptions. This may again lead to avoiding platform modifications driven by unnecessary conservative
arguments.




We will provide an overview of the AspenTech services organization and how it engages with customers to solve their complex modeling problems.




Interactive discussion led by Kelly Harred to hear about the specific challenges of the customers in attendance. The AspenTech experts will provide insight
and feedback.

This presentation will review how Dow Chemical has developed standardized training for Aspen InfoPlus.21 and Aspen Process Explorer to optimize
employee productivity. The training allows monitoring and sustaining employee proficiencies for both new hire and long term employees by maintaining
their skill sets on a year over year basis.




Strong global GDP growth and continued robust demand from Asian refined products is in an all – out race with regional refinery capacity additions. Yet,
refiners in the industrialized West face increased ethanol blending mandates as they await further economic recovery and closure of marginal refineries.
Refiners have been investing to augment and improve – or to protect and defend – their revenues, margins and bottom line. This presentation will analyze
future interaction and its impact on the refining business between regional and global petroleum supply and product demand over the next decades.




Software demonstration of Aspen Plant Scheduler. Capabilities demonstrated to include the use of optimization within the scheduling model, shared
resources, the web planning board, and interactive reporting.



DMCplusTM was used to optimize part of an olefins plant’s super high pressure steam system. The goal was to maximize the steam production units subject
to a number of constraints. Actual fuel prices are implemented in the DMCplusTM application to allow it to change direction based on varying economics.



Integrating process simulation models with internet technologies can result in emissions management systems that enable rapid analysis and identification
of opportunities. This approach was implemented for approximately 100 operating dehydration units operated by Encana in Western Canada. The benefits
achieved and trends / opportunities are presented in this paper.
Emerging technologies offer refiners and petrochemical manufacturers significant opportunities to fundamentally improve their automation landscape and
address many of the challenges facing the industry such as knowledge management, personal and organizational effectiveness, and asset reliability and
utilization. Personal business intelligence, complex event processing and advanced collaborative technologies are key considerations.

Emerging technologies offer manufacturers significant opportunities to fundamentally improve their supply chain landscape and address many of the
challenges facing the industry such as knowledge management, personal and organizational effectiveness, and asset reliability and utilization. Personal
The improvements in computer processing advanced collaborative wonderful accomplishments in engineering design practices. The process design
business intelligence, cloud computing and capability have enabled technologies are key considerations.
engineer can rapidly determine the impact of changes on the base process design case using steady state process modelling tools, which now can be used
for multiple scenario analysis. The C&I engineer is then called on to ensure that the safety design meets all of the SIL requirements as determined in Hazops.
During plant construction and commissioning, a whole host of operability problems usually become evident. Changes are made to the original design to
ensure that the control scheme provides a steady and operable plant, which is normally costly involving minor mods, MOC procedures and unplanned
downtime. Why, with all of these good technologies at our disposal are we continuing to repeat the same mistakes? The main contributor is due to the
disconnect between process design and control design. AspenTech provide an engineering design suite which seamlessly provides ways to integrate these
two disciplines in a dynamic virtual plant environment. The power of dynamic process models are underutilised and the capability of them undervalued in
Sabic Petrochemicals have been implementing DMC controllers in the UK for many years. This paper describes the experience of moving away from this
well established product to the new APC builder on a number of projects. These include deploying state space controllers, a test migration of a full suite of
DMC controllers and composite for an ethylene plant into V7.3 of APC builder and some controllers deployed on a low density polyethylene plant.

When labor unrest in France led to blockades at fuel depots and terminals; fuel supplies and deliveries were severely disrupted across France. Total
leveraged Aspen Fleet Optimizer (Retail) to react to the rapidly changing situation and maintain supply at their locations.



This is a case study of the challenges and solutions to efficient project implementation for a packaging company's multi-site upgrade from CIM/21 to V7.2
InfoPlus.21. Key production data are pulled from the database into Excel and displayed on the plant floor for continuous monitoring, equipment scheduling
and Atmosphere Distillation Tower(A-Tower)’s Optimization is one of the oldest optimization problem. However, it is not easy to find a successfully running
The process adjustments.
A-Tower Optimization System in refineries. This is the SKenergy’s operational excellence which optimizes A-Tower using the AspenTech’s powerful
manufacturing suite “AspenOne”’s embed EDR(Exchanger Design and Rating) in Hysys with DMCplus. The SKenergy’s 10-years-old idea “how to rigorously
simulate A-tower’s overhead pressure and optimize A-Tower’s optimizing variables” has been tried with “AspenONE 7” that Hysys can use embedded EDR
and column rating with the overhead’s dummy cooler and adjusting its duty by the Hysys’s adjust function. With the successfully rigorous modeling of A-
Tower pressure, more accurate model can provide more practical solution and optimized result. This excellence prevents to provide optimization guide
from optimizing variables’ wrong optimum direction by the fixed A-tower’s pressure based model.
The Atmosphere Distillation Tower (A-Tower)’s Optimization is one of the oldest optimization problem. However, it is not easy to find a successfully
running A-Tower Optimization System in refineries. This is SKenergy’s operational excellence which optimizes A-Tower using AspenTech’s powerful
engineering and manufacturing suite aspenONE's EDR (Exchanger Design and Rating) tools integrated with Aspen HYSYS and with DMCplus. SKenergy’s 10-
years-old idea “how to rigorously simulate A-tower’s overhead pressure and optimize A-Tower’s optimizing variables” has been tried with aspenONE V7
where HYSYS can use embedded EDR and column rating with an overhead dummy cooler and adjust its duty using the HYSYS adjust function. By successful
rigorous modeling of A-Tower pressure, this more accurate model provides greater practical solutions and optimized results. This approach to excellence
also avoids the use of a fixed A-tower an innovative solution to a complex past would provide directionally incorrect optimization be delivered in a vastly
Genesis Oil and Gas Pty Ltd a created pressure-based model which in the problem enabling accurate Heat and Mass Balances to guidance for variables.
reduced timescale. This scope of work had not been executed before within Genesis. The key technological advancement demonstrated was the integration
of multiple Pipesim flowline models; some single branch, some network, within an overall HYSYS model of the facilities. The solution meant that production
of new mass balances could be achieved within 3 days where previously the process had taken 1 to 2 months to complete. The client’s project comprises of
a number of well sites that are produced via Dry Tree Units (DTUs). On the DTUs, liquid and gas is separated before transmission via separate liquid and gas
pipelines to a central processing platform where gas processing takes place before fluids are exported via 310 km pipelines to an onshore LNG plant. As
production rates change then so do flowline back pressures which affects the liquid / gas separation at the DTUs. With 8 flowlines and 3 DTU separators this
represents a complex problemto constantly implement process innovations and optimizations.novel solution by integrating Pipesim models into the overall
A core competence of BASF is when generating Heat and Mass Balances. Genesis produced a To ensure our capability to support production globally and
to assess process changes efficiently, a stable simulation environment for the whole plant life cycle is required.

Our method of choice is a complete system virtualization. This guarantees that everybody uses exactly the same system configuration and required system
changes are reduced dramatically.

This presentation summarizes our experiences from the last five years concerning software virtualization focusing on efficient life cycle oriented usage of
process simulation.




This presentation will provide an update on the success of implementing APC/RTO at the Daesan ehtylene plant
This presentation is on Kuwait Oil Company's experience in using Aspen HYSYS simulations for conceptual studies. Various cases were simulated in Aspen
HYSYS 2006.5 and Heat and Material Balance sheets were developed for early evaluation of equipment sizing (for example, diameter and tangential
lengths) and costing. This simulation profile helped to overcome the project cycle times to successfully achieve project gates as early as possible to proceed
for further approvals. In a similar manner, the Aspen HYSYS TEG (Glycol) Package was utilized to evaluate the Gas Dehydration and Glycol regeneration
package performance and compared with design limitations. Similar models were also developed for sales gas specification of 10 lb/MMSCF with existing
operating conditions. This work showed that utilizing Aspen HYSYS helps to reduce project life cycle time by providing clear technical solutions at the
conceptual study level and helps to close the project gate system quickly. This helped optimization of cycle time to repeat the project review periods.




S-Oil wanted to improve energy use in its Onsan Refinery Complex. A reduction in the Solomon Energy Intensity Index (EII) of 2 points was the target with a
payout in < 5 years, enhanced profitability, and performance. This paper describes the process and results achieved.




Ranjan will discuss the technologies and skill sets needed to implement a supply chain data harmonization project. The discussion will be framed around an
example Fortune 100 CPG company's project to harmonize data exchanged between AspenTech and 3rd party systems.




The pharmaceutical industry is slowly moving from traditional batch processing towards the use of continuous processing for API manufacturing. This has
opened up more opportunities for modeling using traditional steady state and dynamic modeling tools and technologies. This presentation will cover some
The Dow of modeling and associated challenges to support development of continuous processes in pharmaceutical API manufacturing.
examplesChemical Company has numerous AES users worldwide who do their daily work using a global computing network. This paper will describe how
Dow has delivered "shelves" that contain Dow customized install packages for a wide variety of software including AES packages. This sytem includes Dow
employees as well as employees of Dow's Joint Venture partnerships which require additional security requirements to protect Dow's intellectual property.
This presentation will discuss the organizational and structural framework used to maintain this distribution system as well as some of the lessons learned
and best practices employed at Dow.




This paper presents simulation of two box type heaters and selection of metallurgy for the convection section tubes based on the predicted temperature of
flue gas leaving the heater, using the dry run operation. The convection sections of two box type heaters were designed for steam recovery and the
metallurgy selected was carbon steel. It was decided to design the convection section for dry run operation so that flexibility of plant operation can be
improved. The fired heaters were simulated using Aspen HTFS Fired Heater module, for generating the operational data for both the heaters. The radiant
section exit flue gas temperatures were simulated for various operating conditions and the maximum flue gas temperature at the inlet of convection section
was finalized .The tube metal temperature was calculated based on the maximum flue gas temperature for dry run operation and the tube metallurgy was
selected. For one of the heaters suitable metallurgy for convection section of tube was not possible. Hence, the steam flowrate required to maintain the
tube metal temperature below the design temperature was calculated, and necessary controls and interlocks were implemented to ensure that steam
flowrate. The draft profile and casing temperatures were calculated based on high flue gas temperatures leaving stack during dry run operation. A scheme
for necessary modification was finalized and implemented to replace the convection section tubes with better tube metallurgy which was suitable for dry
run operation.




BPCL Kochi Refinery has deployed an IT strategy to achieve operational excellence in Refining. MES was implemented with aspenONE v7.1, including PIMS,
Orion, MBO, AtOMS, Advisor, IP.21, mMDM, Aspen Reporting Framework (ARF), aspenONE Integration Foundation, and integration with SAP XI and LIMS.
 End-to-end integration was achieved using a combination of AspenTech’s Integrated Petroleum Supply Chain and Web Services. The deployment uses
state-of-the-art infrastructure with Blade Servers, centralized SAN Storage and Tape Autoloader, and was architected for smooth integration and with a
clustering for redundancy. a sample of DCS-level DMCplus displays that I have seen implemented. Discuss each and how it impacted the sustainability of
This presentation will cover
the controller. I will also cover standardisation of approach. I will present ideas on data validity checking. Finally, I will present my views on future direction -
covering PCWS amongst other things.
This presentation will discuss how to effectively use the Code of Accounts and Indexing functions within Aspen Capitol Cost Estimator. It will discuss
potential complications and how to handle these issues.
We will provide an overview of Applying Technology, Standards and Integration to Improve Asset Utilization, discuss session goals and introduce the
speakers for the session.

Wemeetprovide an overview of Leveraging Resource Expertise across the Enterprise, discuss session goals and introduce the speakersdesign between
To will the challenge of a more competitive ethylene market, it was required to take in account new methodologies like integrated for the session.
ethylene plant and other process for energy efficiency improvements. The integrated model based on energy reduction lets us see opportunities for
significant and innovative energy reduction. As a result, opportunities to achieve about 5% specific energy saving were identified and adapted. This
presentation will cover the sustained value features of Aspen Plus, Shell & Tube Exchanger and Energy Analyzer in aspenONE Engineering suite. The initial
approach was to develop a baseline for current operation which can be used as a common basis for energy improvement aspects of the study. This involved
building a plant model tuned ideally to current high load operating data. Following modeling and analysis of this common base case for individual energy
saving projects were developed.




A study of a specialty cellulose facility utilizing aspenONE to fully integrate data from all processes, guarantee traceability, produce to recipes, reduce
operator activities and manage work processes. The solution has helped increase prime production by 4% while enhancing operator efficiency to allow
redeployment Exchangers (PFHE) are widely used in cryogenic processes. Due to their high specific heating area and their perfect counter flow high thermal
Plate Fin Heat of resources.
effectiveness can be achieved, allowing temperature differences down to 1K. Good fluid distribution is very important where high thermal effectiveness is
required, and maldistribution may lead to under performance and mechanical problems. The presentation addresses the following main topics. • Short
introduction to causes and consequences of maldistribution (with reference to research network papers, e.g. Plate Fin Heat Exchanger guide, HTFS
Handbook Sheets) • The reliability and the accuracy of pressure drop methods determine the feasibility to simulate maldistribution (with reference to
research network papers, e.g. Research Reports) • Using HTFS heat exchanger simulation programs such as PlateFin for the forecasting and trouble shooting
of maldistribution problems In conclusion the presentation will demonstrate how the insight gained using the Aspen HTFS Research Network material and
the programs such as PlateFin, is valuable in addressing two-phase maldistribution problems associated with plate-fin heat exchangers.




The chemistry and biology learned in the laboratory or small pilot facilities are important for the design and performance of a cellulosic-based ethanol plant.
But proper integration of new technology with classical industrial processing becomes even more important when attempting to commercialize new
technology. This presentation will discuss that challenge.
A method to size PRVs and orifices was developed to account for complex two-phase flow conditions. Programmed in Excel and using the advanced
thermodynamic algorithms and routines from Aspen HYSYS through automation, it provides a fast, simple and accurate way to analyze cases where
complex conditions may appear, such as supercritical fluids or multiphase flows. The spreadsheet / HYSYS application simulates the PRV as an isentropic
evolution through an expander, adjusting the expander outlet pressure automatically to determine the maximum mass velocity – the specific work of the
expander representing the variation of kinetic energy produced in the nozzle. It has been successfully used in several projects, including Camisea Second
Expansion, for applications such as PRV sizing, gas or liquid flow through an orifice, or even loss of containment calculations. Thanks to its ease of use, it has
become unnecessary to make the rigorous calculations manually – which would consume up to ten times more time – make gross estimations, or even
resort to a subcontractor. thing? If I evaluate a project with Aspen Economic Evaluator, am I sure that the final estimated investment cost will correctly fit
Case 1: Am I doing the right
with my reference cost scenario? In order to get a good ACCE estimation I must well know my project context and, thus, check and, in case, change the
ACCE cost parameters. Is the best thing to compare the results of ACCE with the detailed analytical investment cost estimation (+/-10%) made by
engineering dept or to expenditures really done during project execution? Case 2: Less equipment but bigger, how do the project costs compare? Often we
need to compare two or more plant configurations that give the same product and, almost always, the target is the lowest investment cost. If the
alternatives are really close to each other, the comparison of investment costs could be really misleading if the cost estimation isn’t done with high
accuracy. With traditional method (budgetary offers request, analytical cost estimation of every specialty - electrical, piping, automation etc., man-hours
estimation etc.) we need a long time and effort; with ACCE, in a very short time we can get the cost estimation of the alternatives with good accuracy and
do the best choice.




Shortening release of final products requires fast laboratory responses to ensure consistently high quality. This presentation describes the migration of an
exhausted homegrown legacy reporting system to a state-of-the art integrated reporting solution detailing the initial system layout, specific customer
requirements, reasons IP.21 was selected and benefits achieved.

In response to higher global demand for gasoil and gasoline and environmental regulations, refineries are incorporating new hydrotreating units into their
existing facilities. Most of the project attention focuses on these new units while utilities and other services are evaluated later in the project cycle.
Verification of the existing refinery flare systems is often a key issue. In this paper we outline the approach used successfully in three recent hydrotreater
projects, and enumerate the typical bottlenecks encountered in the rating and analysis of existing flare systems and how simulation can help resolve them.
Examples will cover the use of different models to estimate relief loads, evaluate dispersion of contaminants, and calculate the future radiation intensity of
the revamped designs.
Chemical engineers have lost an intuitive understanding of physical properties and process behavior as computers and software have become more
powerful. Interestingly, key solutions to the problem may be enabled by software advances, namely the easy availability of comprehensive property
databases and advances in graphics and visualization.




Today’s capital projects in the Process Industry are executed in a very challenging environment of increasing competition, reduced margin and more
aggressive schedules. Andy will outline the key challenges and introduce the remaining presentations for this session, as examples of solutions to the
challenges. He will also review and demonstrate the key forthcoming features in aspenONE that focus on optimizing workflows for capital projects and
addressing the needs of ever-bigger projects.




This demo will highlight the Economic Evaluation tools from the Conceptual Design of a process through FEED and into the EPC phase of a project.



The latest developments to support efficient capital project estimation will be highlighted in this session. The use of the new Templates and new
equipment models will be demonstrated.

In today's global engineering and manufacturing environment, there is a good possibility that the company you work for, or perform work for, will one day
do business in China. In the engineering world, performing work in China is not unlike other locations, requiring knowledge of the business climate and
"rules of engagement". There are conditions to doing business that are uniquely Chinese. This presentation will attempt to identify these unique conditions
and the impact to project estimates performed for projects in China. Doing projects in China, that require a Chinese venture partner, will necessitate a good
understanding of the Chinese feasibility and project approval processes. These are mandatory steps when getting projects approved in China. Recognizing
the potential pitfalls and opportunities is imperative to project success. The use of local codes and specifications, locally procured materials, labor practices,
governmental policies and practices will be addressed. Navigating these while using typical "Western" style estimating methods will be a challenge, but not
insurmountable. As in preparing estimates for any project, in any location around the world, preparation and knowledge of "in country" practices, policies
and cost is imperative to successful projects. heavier oils have both contributed to increased uncertainty in the prediction of the effective viscosity of oil-
Recent trends towards higher water cuts and
water flows. A particular problem arises near the Inversion point, where the nature of the flow changes from oil-contnuous with dispersed droplets of water
to water-continuous with dispersed oil droplets. The problem is that the effective viscosity near the inversion point can be very much higher than the oil
viscosity, and the implications of underestimating the effective viscosity in thermal design of a heat exchanger could be severe. High viscosity implies both
increased pressure drop which will restrict operational throughput and reduced heat transfer. Aspen Shell&Tube V7.3 provides new methods to both
improve predictions and provide the user with options that may be appropriate to different systems. The presentation describes the new methods available
in Shell&Tube V7.3 for the prediction of the effective viscosity of liquid-liquid systems. Case studies with light and heavy oils will be used to show how
Shell&Tube can be used to optimise design and avoid under-performance.
Thermosyphon reboilers must be designed for stable operation with a steady recirculating flowrate. An effective engineering guideline to ensure stability is
that a minimum of 33% of the available pressure drop is used up by friction in the inlet pipework. However it is often very difficult to achieve this target, and
the designer must rely on the predictions of the Aspen Shell&Tube Exchanger instability model. Two-phase dynamic instability is a complex phenomenon
that ideally requires a numerical solution of partial time-dependent differential equations. This approach is impractical in the context of heat exchanger
design software, and Aspen Shell&Tube implements a simplified model that is more approriate to engineering calculations. The presentation covers three
aspects of instability in thermosyphon reboilers: • Brief introduction to the type and causes of instability • Description of recent research work to assess and
validate the instability model in Aspen Shell&Tube • Practical demonstration of using Aspen Shell&Tube to reduce the risk of instability.




Since our adoption of Aspen Economic Evaluation, DuPont has used this software successfully for estimating and preliminary engineering design throughout
the Front End Loading (FEL) process. From early order-of-magnitude estimates through authorization estimates, DuPont has used Aspen Economic
Evaluation as our tool of choice for all estimates, including minor plant maintenance and major capital projects. This talk will focus on our use of the tool
suite across the FEL process.
This presentation discusses how Perstorp, a leading Specialty Chemical manufacturer, assessed the InfoPlus.21 Mobile product and identified the
advantages that mobile data and KPI access can bring to manufacturing optimization efforts.



Modeling Renewable Energy processes involve biological processes and modeling these with chemical process simulators can pose challenges to users new
to the subject matter. This demonstration is about bio-refinery processes and illustrates one such complex application: modeling fermentation of glucose
to ethanol.



The U.S. Department of Energy’s Carbon Capture Simulation Initiative (CCSI) is a partnership among national laboratories, industry and academic
institutions that will develop and deploy state-of-the-art computational modeling and simulation tools to accelerate the commercialization of carbon
capture technologies.
Petlin Malaysia recently completed the commissioning of a nonlinear polymer APC solution on their high pressure tube LDPE unit. The APC solution is a full
scope implementation including extruder control and transition sequencing / optimization which has now been successfully executed on over 32 product
grade changes. The resulting benefits have exceeded all expectations with significant increases in production, reduced transition times and improved
process stability which has strongly helped the company attain record breaking plant run-times without shutdown.




Since 2010, Pemex DCIDP (Project Development and Engineering Corporate Department) was merged with Pemex DCO (Operation Corporate Department)
to create a single project department for all Pemex divisions. As a result of this merger, this new department developed a cost estimating process for Pemex
Projects. This paper describes this Cost Estimation Process as a daily activity. How Pemex develop, prepare, analyze projects for budgetary estimates,
prepare investment analysis and review bids presented by different external contractors. This paper also explains the methodology for Pemex projects cost
estimation, factors that influence the cost estimation and how the different cost estimation tools, such as Aspen Economic Evaluation, are used.
Introduction and Overview of Product Management



Aspen Plus was utilized to produce a model portraying the environmental treatment of municipal waste through Super Critical Water Oxidation (SCWO)
technology. The municipal waste is heated to supercritical conditions and oxidized to generate a self-sustaining exothermic reaction. Excess energy
generated is recovered in the form of electricity.




This demonstartion will focus on the design of multi-shell series-parallel trains of exchangers. It showcases a new V7.3 capability which extends the
advanced design optimization of Aspen Shell & Tube Exchanger. The case will focus on crude pre-heat but have wide relevance to chemical, refining and oil
and gas production.



Modeling an ethanol dehydration process using zeolite membrane has been introduced to ethanol plant. The process reduces energy consumption 20%
compared to conventional processes. With Aspen Plus the time required for an integrated study of dehydration process and distillation process has been
has been remarkably reduced.

P&H implemented a virtual server based IP21 data center. They manage about 12GB data flow per day and continue to expand. The virtualization has
enabled the IP.21 production system to be more reliable, scalable and efficient.
An old Nitric Acid plant was being relocated from USA to Indonesia. The client wanted to validate the existing plant capacity, predict plant performance at
the new location, determine operating or equipment changes needed to achieve business objectives of throughput, quality & NOx emission levels. A
carefully calibrated simulation study helped answer these questions and increased the confidence in making capital investment decision. Several key
performance parameters were optimized alongmajorsome new hydrogen for refiners. Traditionally naphtha israted capacity in Indonesia.
Steam reforming of natural gas or naphtha is a with source of equipment recommendations to achieve the used as a feedstock for producing hydrogen in
most of the refineries. Increasing hydrogen demand for meeting stringent environmental norms and higher production cost is forcing refiners to look for
avenues of cost reduction. As availability of natural gas has increased over the years refiners are switching over to a natural gas based steam reforming
process. When switching existing hydrogen plants to these feedstocks the pressure drop limitations have to be understood realistically for optimal plant
performance.
A simulation model has been developed for the performance prediction of existing naphtha based Steam Reforming Unit for feedstocks such as natural gas
and LPG. The reformer model evaluates the performance parameters related to switching from naphtha to natural gas or LPG. Sensitivity studies have been
performed with respect to key parameters such as reactor temperature and pressure, S/C ratio. Key features of the model include pressure drop predictions
with changing feedstocks, heat recovery, steam generation, etc. Hydrogen unit performance improvement options such as optimizing S/C ratio (incremental



AspenTech has conducted a preliminary Site Wide Energy study of this site, which includes detailed pinch analysis of 7 process units. The objective of this
The acrylonitrile plant at RIL (39000 MTA on these units by 10% compared to 2009 energy consumption.
study was to reduce energy consumption capacity) consists of quench, absorption, stripping, simple, extractive and vacuum distillation and a network of
heat and material integration. The process chemistry produces several by-products besides acrylonitrile, aceonitrile and hydrogen cyanide (HCN) and a huge
quantity of water. The component system is highly non-ideal forming azeotropes and high affinity mixtures with water having a tendency to polymerize and
create serious environmental issues. In order to improve safety, environmental performance, process optimization and cost reduction, Aspen Plus was used
to develop a steady state simulation model of the total plant. The model is used for developing various processing schemes whose benefits are being
realized continuously. This includes environmental protection schemes such as 50% reduction in HCN emissions and 75% reduction in effluent color,
process optimization for 15% improvement in acetonitrile concentration, and for analyzing heat and mass balance at higher (125%) load operation. Other
schemes are being studied and the findings are encouraging in terms of optimum plant performance. These include reduction in flare losses (worth INR 1
million/ annum), 30% effluent COD reduction, and reduction in hydrogen cyanide inventory. The capability of Aspen Plus for simulation of large flow sheets
with complex unit operations and highly non-ideal systems helped us in developing a plant model that is being utilized for process optimization,
environmental protection, plant safe operation, and energy optimization.
We present and demonstrate an integrated model for a UOP Continuous Catalyst Regeneration (CCR) reforming process handling a feed capacity of 1.7
million tons/yr (34,100 BPD) in the Asia Pacific. We discuss key strategies and workflows to deal with inadequate plant data, missing information and
calibration steps required for CatReform model in Aspen HYSYS/Refining. The integrated model includes rigorous tray-by-tray downstream fractionation
models. We validate the model predictions for over four months (using only a single initial calibration) to within 2-3% error. We study several new operating
scenarios (changing WAIT, WHSV, etc.) using the calibrated model. Use of the resulting model to predict a new operating scenario shows significant
economic benefit.
 Since May 2010 XPIMS has been used as a planning tool in INA. The transition from MPIMS to XPIMS has been challenging and is still a work in progress.
This presentation hopes to cover some of the transition issues. This paper is covering planning system development respect to INA’s external environment
and position in MOL group. After previous planning practices and their drawbacks/benefits have been presented, focus shifts on XPIMS implementation
experiences. Reasons for XPIMS introduction are discussed and problems that have been experienced are explored. Due to these issues, a separate project
was initiated to revise the LP model in use in order to increase reliability of results. Several project results are shown. It can be concluded that a transition
from MPIMS to XPIMS requires serious redesign of the model structure as well as planning practices. This effort is eventually paid off by benefits that XPIMS
brings.




Lurgi is developing an application that implements modular design concept in Basic Engineering within ABE environment. With this application, it will be
possible to configure Basic Engineering deliverables as per project specification in appreciable lesser time frame, along with simple and standard
streamlined workflow.




The Dow Chemical Company maintains its own Pure Component Database that have many components not in the Aspen PureXX Databanks. The NIST
databank has now been added to Aspen and the PureXX Databanks continue to add components. In the early versions of APED it was not easy to migrate
the Dow names to the Aspen names if a component that was added already existed in the Dow Database. However, with the APED V7.3 the error checking
provided and the functionality of the component find feature in Aspen Plus has made migration much easier.
Demonstrate how aspenONE Supply Chain supports the Sales & Operations planning process workflow. Example demonstrated will show how to make
good decisions in the event of a mid-cycle disruption using scenario analysis, optimization, and economics.
APC is widely used in the petrochemical industry. In the chemical industry the degree of APC implementations is much less. In 2009, as part of the DSM
"Advanced Manufacturing" program APC was introduced in the ACN plant. In this presentation, an overview of the project is shown, and how APC became
one of the key factors in the project's succes. Highlights and lesson's learnt during the implementation of DMCPlus @ the ACN will be briefly touched upon.
This presentation documents a successful project in Dow Chemical which used Dynamic Matrix Control and Real Time Optimization to increase capacity and
profit. DMC improved the throughput of the distillation section and RTO changed the product mix and energy use to optimize profit.




Biofuels can be a tool to promote economic and social development, energy security and sustainability. This presentation provides insight into biofuels
demand/supply projections; a review biofuels programs and usage in select countries, and highlights some next generation technologies.




Mineralogical Carbon Sequestration with beneficial reuse provides a sound and cost-effective alternative to other Sequestration options. It permanently
chemically bonding CO2 into a mineral form. Calera’s proprietary process takes flue gas emissions from fossil fired power plants and other point sources,
and transforms them into safe, readily marketable building materials.




According to the practices of CNOOC and SHELL for their oil and chemical integrated projects, the PIMS model is good technology media. It exploits the
linkages between Oils and Chemicals Manufacturing assets and Supply Chains to create maximum value that would not otherwise be accessible. The
challenge of OCA is to extract the maximum value from combined activities, while ensuring that nothing ‘falls through the cracks’. The sources of value
creation, valuation principles, guiding principles, process for integrated optimization & planning, united tools of LP Models for a common platform used for
oil & chemical itself and integrated, people of joint OCA steering committee and joint optimization working team and sharing principle are discussed.
Indian coals are difficult to gasifiy due to its high ash content. This leads to the option of co-processing petroleum resids with coal to increase the efficiency.
ASPEN PLUS models compare efficiencies, emissions and serves as a tool for selecting a suitable configuration for coal/resid co-processing options.




Presentation will introduce the Process Optimization Through Equipment Design Sessions. It will set the general context for the two days. Key recent
developments and progress in Equipment Design & Rating within AspenTech will be outlined




Air cooled heat exchangers are widely used in cooling processes where heat recovery is impractical and cooling water is uneconomic. The integration of
Aspen Air Cooled Exchanger with HYSYS and Aspen Plus allows the process impact of operational changes, such as control measures or ambient air
temperature variation, to be properly modeled within comprehensive simulations. This presentation and demonstration will expand on these themes.




This demonstation will show the new inetrface between Aspen HYSYS and Aspen Fired Heater, released with aspenONE V7.3. The case will show how the
rigor of Fired heater can help in optimizing or trouble-shooting crude distillation heater operations.
Generally ASPEN PIMS is used for supply chain optimization in a refinery. Uncertainty in crude and product prices, require using every possible way to boost
margins. In this paper, improvements in conventional plant-wide PIMS model around the heat exchanger network that can actually boost refinery margins.



In this paper the way we use the Aspen Shell and Tube program, at Radiant Engineers, is illustrated. Two examples are considered for this purpose. In the
first example, the objective is to reduce the moisture content of compressed air stream using the cooling tower and chilled water flows. It is demonstrated
that optimum solution to this problem is a set of three shell and tube heat exchangers with the same shell diameter, working as aftercooler, chiller and heat
recovery unit. We designed the after cooler first and then the shell side outlet temperature from the after cooler was used as the tube side inlet
temperature for the design of the heat recovery unit. Finally the tube side outlet temperature from the heat recovery unit was used as the shell side inlet
temperature for the chiller. In another example design optimization of an oil cooler is presented. Various steps starting from initial design to fine tuning of
that design in rating mode, where various warning messages concerning pressure drops, the crossflow fraction being less than a desired value etc are
addressed. Also a detailed flow induced vibration analysis produced by the Shell ammonia plant process-side equipment as well as the fuel and flue gas side
This real time optimization (RTO) application is comprehensive, including all the and Tube program is examined.
heat recovery, and steam system units. Furthermore, sufficient detail of the urea plant, which is consuming the ammonia plant’s product ammonia and
carbon dioxide, in included to account for the highly coupled steam systems of the ammonia and urea plants. High fidelity models are used, especially for
the reactors (primary and secondary steam reformers, high temperature water gas shift, low temperature water gas shift, methanation, and ammonia
synthesis), as well as for the carbon dioxide removal system. The CO2 removal system is an MDEA (methyl diethanolamine) based system, and the model
includes the electrolyte and chemisorption reactions in the MDEA absorber and solution regenerators. The RTO application also performs an ongoing
equipment and process monitoring function. The RTO system is closely coupled with a plant-wide multivariable advanced process control system. The
This real time optimization (RTO) application for several months and is performing robustly, with a service factor of almost 100 % the fuel and flue gas side
application has been in closed-loop operationis comprehensive, including all the ammonia plant process-side equipment as well as since January 2011. The
heat recovery, and steam system units. Furthermore, sufficient detail of the urea plant, which is consuming the ammonia plant’s product ammonia and
carbon dioxide, in included to account for the highly coupled steam systems of the ammonia and urea plants. High fidelity models are used, especially for
the reactors (primary and secondary steam reformers, high temperature water gas shift, low temperature water gas shift, methanation, and ammonia
synthesis), as well as for the carbon dioxide removal system. The CO2 removal system is an MDEA (methyl diethanolamine) based system, and the model
includes the electrolyte and chemisorption reactions in the MDEA absorber and solution regenerators. The RTO application also performs an ongoing
equipment and process monitoring function. The RTO system is closely coupled with a plant-wide multivariable advanced process control system. The
application has been in closed-loop operation for several months and is performing robustly, with a service factor of almost 100 % since January 2011. The
Aspen Plus and Aspen Shell & tube were used to simulate a vertical thermosiphon with boiling on shell side. We detail the approach taken to rigorously
model a system consisting of a number of elements: kettle, vapor separator, downcomers, risers, and other geometric elements. Aspen Simulation
Workbook was used to allow easy control of the simulation, even for people not familiar with the details of the simulation. This approach enabled accurate
calculation of the vapor flowrate and the circulation loop flowrate. This simulation helped to increase the circulation loop flowrate by only changing specifc
geometric elements. It helped Rhodia avoid having to change the full equipment, resulting in savings of the order of three million US Dollars.
This presentation will cover the best practice recommendations for using the SLM License Manager to deploy token-based licenses. Topics will include basic
SLM License Manager architecture, deployment options for mutliple SLM License Manager servers, firewall considerations and automated token log file
submission.
A case study is presented regarding optimization of capital cost for an NGL facility revamp. Three separate processing units of a single NGL facility are
modeled in individual Aspen Plus simulations. There are multiple cases for each unit: base case, economic base case and future design case. These cases are
linked in a single instance of Aspen Simulation Workbook for study of feed conditions, product uplift, and particular unit constraints. Plant historian data is
also used to validate model input and results. Aspen Plus is used to rate existing equipment and hydraulics in each of the three processing units. This
enables analysis of suitability of existing equipment and reduction of new capital equipment based on the rating cases. Optimization of product value is
accomplished using Aspen Plus and Aspen Simulation Workbook. The allowable ethane slip for maximum profit is determined while minimizing additional
new, high-cost capital equipment including exchangers, process analyzers and high-head pumps. Aspen In-Plant Cost Estimator is used by Process
Engineering to rapidly develop and verify input to Aspen Capital Cost Estimator for customer estimate development. The results include reduction of capital
equipment count (replacement, new or modification) by 62% during FEL-2; increase of potential product uplift resulting in 3-year payback; reduction of




Presenting the history of why DuPont has begun to use Aspen Basic Engineering (ABE) as the preferred front end loading (FEL) tool. We further discuss what
has worked well for us, the areas we are working to configure the tool for our use and the areas we are working with Aspen Tech to imporve the tool.

We will provide an overview of Compliance in Manufacturing, discuss session goals and introduce the speakers for the session.

We will provide an overview of Effective Workflow and Order Management, discuss session goals and introduce the speakers for the session.
A general welcome to the PM&E user community and discussion of key logistics. We will provide an overview of Performance Management and Analysis,
discuss session goals and introduce the speakers for the session.



Welcome Address and Chemicals Supply Chain Track Kickoff

We will provide an overview of Sales & Operations Planning and Optimal Plant Scheduling, as well as discuss session goals and introduce the speakers for
the session.
This paper will describe the Sines AOS project, the implementation approach, and the results of a successful presentation. The goal behind the Sines AOS
project was to improve the day by day operations of the Olefins related units by enabling the integrated management of feedstocks, products, plant
availability, and logistics including economics in one single system.
This presentation is on improving the performance of propane-propylene splitters in an Olefins Plant. Simulation models using Aspen Plus were built for
these distillation columns. Thermodynamic models were validated with process data to evaluate and to predict system behavior to help guide corrective
actions and/or to define operations. Optimum feed tray location were determined in both splitters. Process design studies to revamp the splitters showed
that using the second propane-propylene splitter as a depropanizer and the first one in its original service as a propane-propylene splitter would improve
performance. No indication of flooding or weeping of trays was observed, and propane recovery was close to 100%.

Vibration in shell and tube heat exchangers is a serious operational issue. Unresolved vibrations can lead to unstable operations, loss of production,
equipment damage and ultimately catastrophic failure leading to loss of containment. The Aspen EDR program not only designs and rates shell and tube
exchangers, it analyzes and provides insight to potential mechanical problems, such as vibration, which gives the user the opportunity to address this
problem prior to fabrication. This report will focus on one aspect of vibration, Fluid Elastic Instability. We will discuss what fluid elastic instability is and what
options are available to us within the EDR program to resolve the problem. We will also work through an example which demonstrates the use of the EDR
program to detect fluid elastic instability and incorporate design changes to resolve this one aspect of vibration.



CO2 capture and sequestration (CCS) can be of importance for the further reduction of greenhouse gasses from large point emission sources such as power
plants. Post combustion capture (PCC) is considered as one of the prime technologies for the reduction of CO2 emissions. PCC is based on the reactive
absorption of CO2 into an aqueous solution and the subsequent thermal regeneration of this absorption liquid. There is a strong emphasis on the reduction
of energy consumption for the thermal regeneration next to further improving the environmental burden of PCC (eg solvent emission to the environment,
solvent degradation). TNO, contract research organization in the Netherlands, is working on the above mentioned topics using Aspen plus as modeling tool.
We have developed amino acid salt systems for the absorption of CO2. Amino acid salt systems have a great advantage compared to traditional amine
based absorption systems. In the presentation, we will demonstrate a new process concept based on amino acid salt systems. This concept is based on
using Le Chatelier principle for enhancing CO2 absorption. This principle states that equilibrium can be shifted by removing one of the constituents in the
reaction. Laboratorium experiments confirm the potential of the newly developed concept. Using ASPEN plus this process concept was further evaluated.
Based on the amino acid salt potassium taurate, it was found that a significant energy reduction is possible. At TNO we are now further developing this
process.
Cargill Process Optimizers has developed a set of steady state and dynamic models in Aspen Custom Modeler that can by used as templates for the
analyzing the yield, water and energy balance of breweries. These models can support the optimization of operational performance through changes in
process operation and design.
To perform InfoPlus.21 server hardware and software upgrades at a major manufacturing site requires coordinating the production schedule with the
expectations of many site and corporate stakeholders. Last year a 10 person DuPont team performed 32 upgrades in six months on three different
continents making significant inroads toward internal standardization.
In the past the worlds of process simulation experts and that of heat exchanger designers had little in common. Now the demands of efficiently executing
process engineering business is driving these worlds together. This has an impact on the abilities and skills required of the different engineering disciplines
who collaborate in the delivery of process designs. The influence of the interface provided in aspenONE on the basic design workflow is demonstrated and
an ideal workflow is presented. EVONIK’s progress in approaching the ideal workflow is presented.




The presentation starts with a short introduction into the concepts of ISO 15926. The structure of the single parts is described with regard to the historical
background. it is demonstrated how the ISO lives today. We will outline our intention to put some efforts in understanding this data model. A short
summary of our first transcription of our data model into the ISO model will be given.
This presentation will profile the application of Aspen Basic Engineering within the DuPont Clean Fuel Technologies business. The presentation highlights
how DuPont Clean Fuel Technologies has accelarted project execution using Aspen Basic Engineering. Specifically discussed topics are: -Before-and-after
basic engineering workflows -Project schedule and engineering cost reductions -Reduction in translation time and cost.




After an overview, we start by discussing issues around Planning Scheduling Model consistency. Next, work activities and tools we use to create Optimal
Plans that are schedulable and Schedules that can be Plan Targetsthe input and output variables. It makes experience with these activities. programs, view
Aspen EDR Program has an Excel utility which follow used to link and Steers are covered. We discuss our it easy to initialise and run these
the results in Excel and integrate our in-house design and cost estimation tools. Jord has developed an integrated design and cost estimation program in
which process and property data are first retrieved from a HYSYS simulation. They are then passed to the in-house design program which evaluates the
various design options, and selects five best economical designs within the pool of all the feasible designs. These designs are then transferred to the
AirCooled Program for further evaluation. Once a design is finalised, the program then calculates the cost, selects a fan, and generates a datasheet and a
proposal. With this program, we are able to deal with customer enquiries in a much shorter time. It has helped us manage the workflow better, reduce
overhead costs and achieve greater efficiency using existing resources.




In the ever changing and demanding nature of the Engineering & Construction business climate, clients today are demanding shorter schedules, more
deliverables in a larger scope of work, more studies/scenarios in the design process, and lower cost in project execution.

To meet those challenges, Fluor deploys a large number of engineering systems such as AES suite, across all of its engineering execution offices across the
globe. With over 45,000 employees across 25 countries and 6 continents executing 1000+ projects world-wide every year, the challenges are enormous and
daunting.

This presentation will address how a typical Information Technology group functions in a top quartile world-class globally diversified organization. It wasn’t
as easy during the early years of many of these systems roll-out. The presentation will include various methodologies used to engage IT to become part of a
total solution including lessons learned and best practices.
Advanced process control applications have been contributing significantly to the lower operating cost and higher process efficiency within Air Products &
Chemicals. However, it remains a challenge to maintain and support the large number of APC applications, while at the same time trying to lower the
implementation cost and continuously looking for opportunities to improve the control performance. This paper examines the obstacles we have
experienced and the methodology that we have used from both administrative and technical standpoints. Specifically, work process and control techniques
that have evolved over the years to make APC implementation a more efficient practice will be discussed.




This presentation will provide an overview of the issues facing companies across their supply chain, an introduction to the SCOR model and how to apply it
to your company to identify systems and operations improvement opportunities, key performance metrics and how to leverage the Supply Chain Council to
benchmark your operations.



SK Innovation has plans to construct plants using a new polyethylene solution process which has been developed with SK’s proprietary technology. A
simulation model of new commercial PE solution process has been developed using Aspen Polymers. The model considers the important issues of single
site catalyst kinetics, polymer properties, solvent separation and stripping. The model also contains thermodynamic parameters that accurately predict
polymer production rate, molecular weight, polydispersity index, and comonomer composition. The process has been optimized, in particular with respect
to conditions for solvent separation and stripping, and energy consumption. In this presentation we will review the project, how these models were
Upon detection of optimized the dangerous process process.
developed, and weunconstrained, new PE commercialvapors, the desire is to safely vent to reduce the internal pressure in the processing equipment as
quickly as possible. In order to design the disposal equipment, the expected vent stream flow rate, composition, temperature, and pressure is needed.
Aspen Plus Dynamics™ (APD) provides the means to address this problem. The plant was divided into four areas with a separate model for each. Four
independent pressure-driven APD process models were than used to determine the process performance with the existing proposed design. These were
then used to determine where the process performance is OK, where control changes would meet needs, where process equipment changes would meet
needs, and where desired performance would not be met without a change in the laws of physics.
A comprehensive update on our upcoming Aspen SCM product release.
The Energy our refined approach to Beta testing the upcoming release and how Department of Energy and a consortium of industry sponsors, has
Hear about & Environmental Research Center (EERC), with funding from the U.S.you can participate.
developed the necessary tools to evaluate the cost of carbon dioxide (CO2) capture from full-scale power plants. A pilot-scale combustor is used in
conjunction with a CO2 capture absorber/stripper system to evaluate the performance of baseline and novel solvents. An Aspen Plus-based process model
has been developed with data from EERC pilot-scale facilities that evaluates the CO2 capture process from coal combustion to amine scrubbing with solvent
recycle. Aspen Plus is used to determine CO2 baseline capture rates from coal-derived flue gas using monoethanolamine (MEA). Then advanced solvents
are modeled in Aspen Plus using pilot-scale performance data. The key data needed to model the advanced solvents include regeneration energy and liquid-
to-gas ratio. Aspen Process Economic Analyzer (APEA) is then used to evaluate the cost of technologies for CO2 capture for a 500-MW power plant. This
presentation describes studies that have been performed for baseline MEA and advanced solvents, and the results have been compared to the cost of oxy-
Steve Williams, Vice President for Product Management will address the audience with his closing remarks
Our team was tasked with improving estimate accuracy, flexibility, and providing transparency within the company and for our clients. Our solution was to
utilize Aspen Capital Cost Estimator along with internal resources to achieve this. In addition to using project-specific documents, historical data, and
computer models we involve our Civil, Structural, I&E, and Construction groups throughout the process to ensure all aspects of the estimate are covered.
During review with the client prior to proposal submission, the tool provides a great amount of support data for both component and area requirements
that have had preliminary design internally. The benefit at this stage is the flexibility of changing and adding on-the-fly with instant results that produce buy-
in and approval by our client. It is with their confidence in this process that we have received increased cooperation and latitude in our proposals.
A prerequisite to developing an “Optimal Plan” is an accurate planning or scheduling tool. Hovensa employs a multilayered approach to validate and
improve scheduling model accuracy. There are three layers of schedule validation in the Hovensa approach, they are: Plan to Schedule, Schedule to Actual
(Process Unit Level), Schedule to Actual (Fence Line Level). Hovensa experience is the accuracy and robustness of scheduling tools and work processes were
Taiyo Oil with this multilayered approach. Another benefit scheduling system trading group’s confidence in forecast accuracy improved.
improvedcompleted their integrated ad advance planning &is management andin 2009. Since we shifted to produce more petrochemical feedstock,
aromatics and propylene, we adopted component base modeling, and established proper PIMS model updated system using operation data. In their
system, the reconsolidated field operation data was used for update model of the scheduler regularly, and used for PIMS base data updates. Also, they
introduced refining process simulation, Refsys, for reforming and RFCC units to get more accurate yield estimation for operation changes. The process
models are updated using operation data periodically, and PIMS model is updated accordingly. To establish this component basis accurate planning and
scheduling system, they have better selection of the crude for aromatics feedstock with more margins. After implementation of this system, more than
Digital Dashboards for monitoring observed.
multi-million dollars benefits were and analyzing manufacturing performance are very much in vogue. The essential elements for the design and
implementation of sophisticated dashboards are discussed. The application of Information Theory and the practical utilization of aspenONE are
demonstrated.

This session will explore the approach BP is using to see and manage Inventory visibility across the supply chain. Additionally, complexities managing crude
shipments into the refinery and refined products out to the terminals will be discussed.

Industry experts will discuss how their leading business processes and technology solutions to manage distribution costs and asset utilization
With a 24/7/365 operation and world leading output of close to ½ million tons per year, maximum system availability was mandated. We will discuss the
challenges and the solutions to creating a reliable Manufacturing Execution System and Supervisory Control system using full system (hardware and
software) redundancy. Key process and production data are maintained through clustered Infoplus.21 databases in a SAN environment. These are
connected via redundant CIM-IO to redundant OPC Servers on process control systems to allow for continuous monitoring and process adjustments. We
exceeded all goals with over 99.999% availability from 97.26% historically.



In this presentation we will review the newest features in Aspen Plus and related products, with demonstrations to show the most important features.
In this presentation we will review and demonstrate the integrated workflow between AspenTech’s process simulators (Aspen Plus and Aspen HYSYS) and
Aspen Process Economic Analyzer. We will focus especially on improvements made in V7.3 to enable custom sizing and evaluation through the introduction
of economic analysis templates.
In this demonstration we will show the newest improvements in Aspen Plus which give you on-demand access to over three million sets of experimental
phase equilibrium and mixture data from the US National Institute of Standards SOURCE database. This feature saves days or even weeks of effort required
to collect the data you need to fit, validate, and verify the accuracy of your models. The NIST database is also evergreen, with quarterly updates.




Mitsui Chemical’s Ichihara works faces business issues such as fuel price volatility; start-up / shutdown situations, and changes in fuels. These all cause the
utility plant changes. This presentation includes an overview of the Aspen Utilities solution, discussion of benefits, and implementation of model results
including use in the Advanced Process Control (APC) system to drive operations.
Working session to gather feedback from the user community
Paul Turner, APC Product Manager, will provide an overview of the roadmap planning for APC products.



Sasol, a South African company also listed on the NYSE, is best known for its coal conversion experience. Its core Fischer Tropsch technology is proven on a
commercial scale for the conversion of natural gas to liquid products (GTL). To support the frequent evaluation of GTL opportunities of different capacities,
product slates and locations, an effort was made to create a standard GTL plant estimating model in ACCE. A multi-disciplinary engineering team, including
cost estimators, made use of detail design information with some “Approved for Construction” quality material take-offs to build the model comprising
some 800 tag items. Indexing, calibration and the treatment of proprietary technology units were key aspects of model development. The model resulted in
several benefits including training by exposing inexperienced engineers to detail level engineering not regularly encountered in an owner company.




Appraisal studies for new oil and gas separation facilities are undertaken very frequently. The goal is to determine if under current and projected market
conditions, the development of a field is economically attractive. The time required to build a model with a process simulator used to be too long, so
simpler assumptions were used. The new AspenTech Conceptual Design Builder streamlines the building of these models and makes this a viable option for
appraisal studies. Aspen HYSYS models can now be auto generated very quickly. With the integrated economics tools - Aspen Process Economic Analyzer -
a quick estimate can be made of capital cost, operating cost and dry weight of equipment.
Short overviews of selected customer presentations from across the Engineering track that demonstrate leading engineering best practices. These
presenations will be covered in detail during the conference in their respective sessions.



In our industry, the idea of "PIMS on the cloud" is to deliver the power of a mature and sophisticated application such as PIMS to users through an intuitive
and easy to use web interface. This novel architecture utilizes the power of SharePoint to visualize and present the information necessary to configure,
execute, and report PIMS cases. In addition, a library organization of the user-models allows for easy and secure access, persistence, and versioning of the
In this paper in their of process selection and configuration of the LPG recovery unit and the impact of exchanger design are presented. Two typical
PIMS modelsa reviewtraditional form
configurations of the gas plant for LPG recovery using the Turboexpander (TE) based process, where differential pressure across the turbo-expander
provides the driving force for the recovery, are simulated using HYSYS. One of the process configuration is selected for the heat exchanger design case study
based on the higher LPG recoveries achieved. The impact of exchanger type and approach temperature on the process and the LPG recovery is then
examined. The following options are evaluated using the Aspen HTFS Shell & tube and PlateFin module. • Shell and tube exchanger with 10 deg C approach
temperatures • Shell and tube exchangers with low approach temperatures of 5 deg C • Multistream brazed aluminium exchangers with lower approach
temperatures of 3 deg C Finally, an economic estimate of the savings achieved using the Multistream brazed aluminium exchangers design vis a vis the shell
and tube exchangers is presented.



A study of a special compounding plant utilizing aspenONE PM&E to fully integrate data and orders from all processes, guarantee traceability, produce to
recipes, reduce operator activities and manage work process. The MES integrates the ERP, process control system and an extended barcode scanner
system to cover all manufacturing processes.
The Dow Chemical Company has long seen the advantage integrating Process Simulation with cost estimation to optimize flowsheets during process
development. To that end, Dow presented a paper at the 2007 Aspen User Conference on an internally developed tool that automated data transfer and
equipment sizing to allow faster, more reliable hand-offs to our cost estimation function.

With the V7.3 release of Aspen Process Economic Analyzer (APEA), Dow is ready to transition from its internal tool to AspenTech's product. This
presentation will highlight key functionality improvements in APEA that led to that decision as well as outline plans for our transition from that internal tool
to APEA.




The presentation will outline AspenTech's HTFS Research Network and frame the context of customer presentations in this session. The latest heat transfer
research from AspenTech's in-house program will be reviewed with important new developments in understanding and modeling detailed.




This demonstation will show the new inetrface between HYSYS and Aspen Plate Fin Exchanger, released with aspenONE V7.3. The case will show how users
can easilty benefit from the rigor of PlateFin within a crogenic process to optimize the overall design or operation.
Air-Liquide have very long history of staying at the forefront of technology innovation of cryogenic industry. This presentation describes how our company
has harnessed the Aspen HTFS Research Network information to continue that long tradition in the specific area of heat transfer equipment design and
simulation. The presentation refers to the following specific examples where we have benefited from the use of Research Network information. · A novel
facility for measuring fin performance data · Interpretation of some of the measured flow pattern data from a cryogenic therrmosyphon rig · Development
of a novel compact reboiler In addition to this some other examples of use of Research Network to solve some challenging problems in design and
simulation of heat exchanger are discussed.




In every project, key parameters affect the quality and accuracy of an estimate. This presentation will define the key parameters which drive the estimate
quantities and resulting costs. We will review how AspenTech tools use these parameters to drive the development of project estimating quantities. Harvey
will present examples of how definition of project, area and component specifications impact output quantities.
This presentation will provide insight into the importance of Production Management and Execution products within the overall aspenONE Manufacturing
Supply Chain Portfolio. How can AspenTech customers realize the benefits of the collaborative aspenONE approach? What are some critical objectives for
the Aspen Product Management team moving forward to deliver enhanced value to our customers?

Remarks from Steve Williams, VP of APC Product Management
Opening comments presented by Steve Williams, VP, Product Management
Product Management Overview




Aspen HYSYS® and Aspen Plus® viscosity estimates were compared to measured data from 700 samples which were primarily of whole crudes, pipeline
blends, fractions, resids, and refinery products. Both Aspen HYSYS® and Aspen Plus® were found to under-predict the viscosity of extra-heavy crudes and
residues (≤ 10° API), particularly at lower temperatures. An extension of the Moharam viscosity prediction method was developed which more accurately
predicts these heavy oil viscosities. The average error in predicted viscosity is on the order of 25%, a significant improvement over the methods currently
available in Aspen HYSYS® and Aspen Plus®. This new correlation is recommended as an alternative to the cumbersome task of adding viscosity curves as
part of the assay data input, to improve viscosity predictions for heavy oil fractions and residues.

     presentation new capabilities included the V7.3 release of aspenONE for both Aspen HYSYS and Aspen Aspen
This will show the is on the design and analysis of topside facilities using process simulation software such asPlus HYSYS and Aspen Flare System Analyzer
(and Excel). Effective engineering design is dependent on timing, cost, and accuracy. It can be the difference in delivering first oil on time and on budget
versus being bogged down in delays and costly reworks. One of the best leading indicators (historically) for project delivery is in its start up and execution at
the beginning. Use of tools that provide more detail, better definition, and quicker results can make the difference between success and failure. This paper
presents the software tools that we use in the different phases of a project, and how we use them to enhance the end result. A walkthrough of how the
Process Simulation PFD is setup for input into the custom Excel macros, how the macros work, and how to the use these programs in designing and
estimating equipment.
The BP Upstream System Optimisation programme (a Fieldofthefuture® technology) is working to integrate domain models for all or part of an asset, to add
business value through improved operability and production. Examples of business problems which could then be addressed include:
• Integration of reservoir with models of the wells and gathering network to optimise waterflood
• Optimisation of gas lift where the facility is gas constrained
• Subsurface flow network integrated with facilities model for NGL optimisation
In all these examples, there is a significant business benefit that can be achieved through the use of an integrated model.
Current commercially available solutions for integrated models require the use of an "integration" environment, which are all designed to integrate any
number of different modelling tools. The model can then be used for many purposes, including life of field modelling. However, there are a number of
issues which impact on their ease-of-use, such as:
• The user has to be familiar with the integration environment as well as the base models
• Information or physical recycles can only be solved as an optimisation
• Bespoke mappings are often required between different fluid representations
These can be overcome in some circumstances by a tighter low level integration between the domain modelling tools. CO-LaN (the CAPE-OPEN standards
body) has recently commissioned the development of a CAPE-OPEN wrapper for GAP (from Petroleum Experts) to demonstrate this. GAP can now be used
as a "source" unit operation in any CAPE-OPEN compliant modelling environment, including HYSYS. The wrapper also includes a built-in capability to map



Most of the advanced process controllers (APC) used for C3 fractionation columns in olefin plants require good column pressure control and include the PIC
as a manipulated variable. To address the problem, a new DMCplus control design was developed and implemented which uses a reflux ratio controller to
reject pressure-related disturbances and floating column pressures. To ensure that the controller design is feasible for low-feed propane and the propylene
ratio (which results in low bottom draw flow), a dynamic model was developed to evaluate dynamic behavior and compare different control schemes. The
new control design scheme offers an effective alternative for C3 fractionator APC implementation.




The oil refiner is faced with increasing crude and product market volatility in a tight refining margin environment. Selecting the right crude oil mix for the
refinery is the most important commercial decision a refiner has to make to ensure that his margin stays in the black. PIMS advanced optimization
techniques have been successfully used within BP to meet this challenge.
 AspenPlus is used for mutlivariable optimization of an oxy-coal combustion process with carbon capture and sequestration. The solution procedure follows
active inequality constraints which are identified by thermodynamic analysis to facilitate convergence and avoid fatal errors. An alternative approach is
presented integrating AspenPlus with Thermoflex and interfaced to external optimizers.



AspenTech will showcase the integrated energy management solution offered from AspenTech product suites. The demo will highlight how the solutions
from both AspenTech Engineering and Manufacturing products help the process industry reduce energy use and cost between 10% - 30% across the
enterprise.
                                    Presenter Bio                                         Co-Presenter First   Co-Present Last




Balazs Balasko, Ph.D. is a Planning and Optimization Advisor in the Supply Chain
Management Group at MOL Plc a division of MOB Group



Boonlert Chernsiridumrong is a technical manager, responsible for improving process
efficiency, increasing production yield , optimizing raw material consumption, makes
final product classification and implements cost reduction programs. With experience
in HDPE slurry process, he is the Project Manager of APC projects for the HDPE plant in
BPE, working with AspenTech to implement APC system in HDPE production facilities.

Mr Hu XiaoGang. Graduated from Tianjin University Of Technology . From 2002,
working at PCITC to implement 1st and 2nd distribution system for product oil supply
chain in Sinopec as principal engineer and project manager.
Jack Albrecht - Founder of ACo GmbH, providing MES and Supply Chain consulting and
solutions for nearly 17 years. Over 20 years of experience with Aspen/Setpoint
products and solutions.

Zafar Ali has a Masters in Chemical Engineering from Ohio State University and has
been with Aspen Tech since 1997. Zafar started with Aspen delivering planning and
scheduling solutions for refineries and petrochemicals. He moved on to Petroleum
Supply Chain R&D in 1999 and eventually took over as Director PSC R&D. In early 2010
Zafar took over as Senior Director Product Management for Petroleum Supply Chain.
He has extensive experience in petroleum supply chain.

Zafar Ali has a Masters in Chemical Engineering from Ohio State University and has
been with Aspen Tech since 1997. Zafar started with Aspen delivering planning and
scheduling solutions for refineries and petrochemicals. He moved on to Petroleum
Supply Chain R&D in 1999 and eventually took over as Director PSC R&D. In early 2010
Zafar took over as Senior Director Product Management for Petroleum Supply Chain.
He has extensive experience in petroleum supply chain.


Leading the group that provides engineering, procurement, construction
services, and proprietary technologies to clients in the hydrocarbon,
petrochemical, and chemical industries, Bert brings 38 years of EPC
experience to Shaw. His background includes employment with General
Electric and KBR, where he functioned as Vice President of Operations in
Houston and Monterrey and Director of Engineering Excellence.
Brian is a Process Automation Engineer working for The Dow Chemical Company in
Houston, TX. Brian leads advanced control and optimizations implementations for
Dow globally. Brian has a BS in chemical engineering and computer science from
Texas Tech University.

Dr. Dirk-Uwe Astrath works in an Engineering Position (CAPE) with Evonik Degussa
since 2006. He has a Diploma-Degree of the Technical University of Berlin in 2001;
and a Doctor Degree of the FAU Erlangen-Nuremberg in 2006.




Joe is a Senior Consultant at Solomon Associates
Joep has been applying Advanced Process Control for more than 15 years in both
ethylene and polymer plants. He has experience with DMC+, Apollo, AspenIQ and
AspenCalc.
Dr. Ben Bettens is a Process Engineer with the Tessenderlo Group – LVM. He has a
Bachelor/Master in Chemical Engineering Magna cum laude 2004-2008 and a PhD in
Chemical Engineering / Membrane Technology 2008-2011 from Katholieke
Universiteit Leuven.
                                                                                          Rob      Bishop




Dipanjan Bhattacharya is a Process engineer with Bechtel. His work focuses on
problems pertaining to design, operational and controllability issues. He is
experienced in refining and LNG.                                                          Sanjay   Viswanath

Rahul is the Online Optimization Leader at Dow Chemical. As a subject matter expert,
he has worked on a variety of modeling, advanced control & optimization projects for
the last 19 years. He received his PhD degree in Chemical Engineering from the
University of Wisconsin-Madison in 1999 for his research on Model Predictive Control
of polymerization processes. He is also the current chairman of the Aspen AC&O User
Group Board.

Rahul is the Online Optimization Leader at Dow Chemical. As a subject matter expert,
he has worked on a variety of modeling, advanced control & optimization projects for
the last 19 years. He received his PhD degree in Chemical Engineering from the
University of Wisconsin-Madison in 1999 for his research on Model Predictive Control
of polymerization processes. He is also the current chairman of the Aspen AC&O User
Group Board.
Rahul is the chairman of the AC&O Board of Directors

Zou Bing is the Operation Optimize Manager for Shanghai SECCO Petrochemical Co.
Ltd. He has held other Managerial and supervisory positions since joining SECCO in
1985. He has a degree in Chemical Engineering from Shanghai Petrochemical
Technology School and a degree in Business Administration from Shanghai Second
Industrial University

Ms. Blankenship is currently a Senior Process Technologist working in the Coking
Technology group with Bechtel Corporation. She has been an engineer with Bechtel
for a total of 12 years out of a career that spans 30 years in engineering and software
quality assurance. She has previously worked for Fluor Corporation, Intergraph
Corporation, Allied-Signal division of Honeywell, and the former Pritchard
Corporation, now part of Black and Veatch.

Arjen Blok, a professional estimator, has been working for 30 years in the industry of
which 27 in the field of project controls and estimating. The last 20 he has been
employed by Fluor where he is now responsible for all estimates prepared globally in
the Energy & Chemical business group.

Chemical Engineer. PhD in Chemical Engineering by the University of Minnesota.
Director of Technological Assessment at CTBE – Bioethanol Science and Technology
National Laboratory - BRAZIL, since November 2008. Senior researcher at Research
Institute of the State of São Paulo, 1983-2008. Adviser in academic graduate programs
in Chemical Engineering and Biotechnology areas.


Ken Boudwin is a Senior Supply Chain Advisor with Aspen Technology. He has been
with Aspen Technology for 11 years working for customers across a wide range of
business areas, including electrical power generation, petroleum, chemicals,
pharmaceuticals, and consumer package goods. Prior to joining Aspen Technology,
Ken worked for 30 years with Exxon Corporation in their corporate operations research
function. Ken has an AB in Mathematics from Princeton University, an MS in
Operations Research from Stanford University, and a PhD in Business Administration
from Stanford Graduate School of Business.
After completing my MS degree from Michigan Technological University, I worked for
nearly 27 years at UOP in development and service roles. I have experience with a
wide range of refining process technology including reforming, isomerization, and
hydrocracking. Currently I am at BP in R< responsible for the implementation of
process models at the refining sites.

José Maria Câmara Brito is responsible for the evaluation and design of the
distribution gas points at Transpetro. He worked for 17 years as a production process
engineer in the natural gas processing industry at Petrobras. He has 26 years of
experience in engineering in the oil & gas field. Mr. Brito has a BS in chemical engineer
from the Federal Rural University of Rio de Janeiro and a specialization in process
engineer from Petrobra.



Michael has more than 10 years of experience in the development, application and
marketing of process simulation and optimization solutions. After finishing his PhD in
Chemical Engineering at Bradford University in the UK, Michael began his career in
Process Development in Germany before moving to Spain and working for Hyprotech’s
and later AspenTech’s Business Consulting team for Thermodynamics, Conceptual
Design, and later on for Energy Management. At Inprocess, Michael leads the Business
Development team. In this role he is working with Inprocess’ clients to identify
business value delivered through process simulation.                                   Prabhat   Panigrahy



Pamela Buzzetta is a process engineer at C&I Engineering with experience in refinery
and chemical plant design. Pam graduated with a B.S. in chemical engineering in 2006
from Washington University in St. Louis. She started at MECS, Inc., designing sulfuric
acid plants and then cellulosic ethanol design, a joint venture between MECS and
Abengoa Bioenergy. In 2007, she joined C&I and is responsible for implementation of
ABE throughout the company along with her engineering duties.
Michael Byerly is Senior Director, Product Management at Aspen Technology
responsible for product installation and deployment, license management, localization
and computing platform support.



Arthur Byram, has more than 30 years of experience in project cost evaluation. He
posses in-depth knowledge of the Aspen Capital Cost Estimator (Kbase®), and has
prepared engineering, procurement, and construction estimates for a broad range of
projects. Worldwide projects have included grassroots and revamp facilities for
chemical production plants, oil and gas facilities, both on shore and offshore
production facilities among others. He is currently a Sr. Principal Estimator and KBR’s
Aspen Estimating trainer. Arthur is also the technical advisor for the use of Aspen
Capital Cost Estimator (Kbase®) and Aspen In Plant Cost Estimator, (IPM) at KBR.

John manages AspenTech's APC development group. He earned a B.S. in Chemical
Engineering from the University of Illinois at Urbana-Champaign, an M.S. in Chemical
Engineering from The University of Texas at Austin, and a Ph.D. in Chemical
Engineering from the University of Wisconsin-Madison. Since joining AspenTech in
1997, John has worked in Services, Customer Support, and Product Development.        John        Campbell
Matthew Campbell has been working for Cansolv Technologies as a Developing
specialist since July 2005. He graduated with a Master Degree from the Department of
Chemical Engineering at McGill University. His main activities involved the
development of consistent modelling tools to allow for design of SO2 and CO2 Capture
Plants.
Williane Lopes Carneiro is responsible for the Aromatic Extraction, Butadiene and
Isoprene Production Units at Braskem, where she has been working for over 29 years.
She develops and supervises procedures to sustain and increase the production profit,
as well as to indentify optimization opportunities. She is also a process knowledge
instructor for engineers and technical operators. Mrs. Carneiro has a MS in chemical
engineer from UFBA/UNICAMP and a Specialization in Petrochemical Process
Engineering from Petroquisa.




Dr. Chau-Chyun Chen is a co-founder of AspenTech and currently serves as Vice
President of Technology. He is the inventor of AspenTech’s electrolyte process,
polymer process, and pharmaceutical solubility modeling capabilities. Currently his
focus is modeling of CO2 capture processes, alternative energy technologies, and
pharmaceutical and biological product and processes.

Guofu Chen is a Process Engineer at TAS in Houston. He is a registered Professional
Mechanical Engineer and a Professional Chemical Engineer in Texas. He was
previously with Modec International in Houston, and earlier spent 6 years as a process
expert at Air Liquide in China, France and the US. Mr. Chen is a mechanical
engineering graduate from Zhejiang University in Hangzhou, China. He is a member of
ASME, AIChE, and ASHRAE.

Jie Chen is a senior SCM analyst with experience in creating and implementing
scheduling applications using AspenTech’s SCM suite of tools. Currently, Ms. Chen is
part of the internal services group involved in the global rollout of a customized PSEO-
based scheduling template at Momentive Specialty Chemicals, Inc.                         Robert   Ellis
Eric is an IT professional with more than 20 years experience in Software and System
Engineering. He has a BS in Computer Science and has worked in Pharmaceutical
manufacturing facilities for 8 years.

Ernesto graduated with a degree in Chemical Engineering from Politecnico di Milano,
he spent last the twenty years in ENI’s Petrochemical Company where he covered the
position of Financial Controller in the Base Chemicals Division. Since three years ago
he has been the responsible for Operation Analysis in the Supply Department; within
that role he is currently leading the team doing the implementation of the M-PIMS
system as a key instrument for the optimization of Polimeri’s monomer plants
production planning.

Eric Cordi is a Senior Principal Scientist in Worldwide R&D at Pfizer where he was
recently recognized with Pfizer's 2010 Achievement Award for innovation and 2009
and 2010 Green Chemistry Awards for environmental stewardship. He has held
several positions involving process development, technology design, and
manufacturing scale-up in human health pharmaceuticals. Previously, Eric was
employed as a Senior Research Engineer at Syngenta Crop Protection.



Mr. B.K. Datta is the Executive Director of Supply Chain Optimizations, a newly formed
Entity to look after 6 core supply chain processes. Previously Mr. Datta served in roles
such as General Manager in Charge of Refinery, General Manager of Information
Systems, General Manager of International Trade and Supply and General Manager of
operations. He has over 30 years experience in the Petroleum Industry.

Dhaval holds a Ph.D. degree in Chemical Engineering from the Department of Process
Integration, University of Manchester, UK and M.Tech. degree in Chemical Engineering
from IIT, Kanpur, India. He has been working with Aspen Technology as a Senior
Software Developer since 2006 and has been responsible for refinery process
modeling projects in the areas of assay characterization, crude and vacuum distillation
modeling.
Stefan has spent his entire career in Supply Chain Management, holding various roles
in consulting and product management. Prior to AspenTech, Stefan worked for FYGIR
and Infor and ran his own SCM development company for 4 years. He holds a MSc in
Applied Mathematics.

Doug Decker has worked with Chart for 30 years and with AspenTech products for 15
years. He is active in the HTFS community and the co-author of RS1149. He gains
more from the experience of contributing and presenting to the HTFS community.




Doug Decker has worked with Chart for 30 years and with AspenTech products for 15
years. He is active in the HTFS community and the co-author of RS1149. He gains
more from the experience of contributing and presenting to the HTFS community.




Ashok Dewan is the PETSIM (Process Engineering Tools & SIMulation software)
Products Manager in the global Royal Dutch Shell companies. Responsibilities include
product deployment, license management, user support, vendor liaison & "in-house"
training, for the PETSIM Portfolio.

Ashok joined Shell in June 1982, after completing his Doctor of Science (Chemical
Engineering) from Washington University, St. Louis, MO. His under-graduate degree
was in Chemical Engineering from IIT-Bombay. Ashok has received several Shell
Recognition Awards for Technical Excellence, has co-authored 6 U.S. Patents, prepared
over 25 refereed technical publications and co-authored a 5-volume Handbook for
Transport Properties of Binary and Multicomponent Mixtures.

Ashok currently serves as DIPPR/AIChE Technical Director, is Shell Industrial Partner to
TRC at NIST, Shell Industrial Advisor to OLI Systems, EPCON International and NTL at
Galveston, TX. He also represents Shell on the AspenTech Advisory Board, as well as
the Advisory Boards of other Shell suppliers.

Prakash is a chemical engineer with post graduate in finance management and
technology. He has over 18 years of cross functional & cross Industry experience in a
diversified Reliance & Essar group. His core expertise is in IT setup, program
management, start-ups, and business process re-engineering.

Dr. Vikas Dhole is the Vice President of Engineering Product Management at
AspenTech with responsibility for the aspenONE Engineering Suite. He has over 20
years of experience in software product management, technology development and
consulting in the process industries. Vikas has B.Tech. in Chemical Engineering from
Indian Institute of Technology (IIT), Mumbai, India, and PhD in Process Integration
from University of Manchester, UK.

Drew Dietrich has over 20 years experience in the E&C industry and is currently an
Engineering Systems Administrator in the Engineering Systems group with
WorleyParsons. He is also the Global Systems Manager for Aspen Basic Engineering
responsible for deployment ABE in Canada and the Americas.
Glenn Dissinger is a Director of Product Management with responsibility for the Aspen
HYSYS product family. He has 30 years of experience in the application and
development of simulation models, with an emphasis on dynamic simulation
applications. Glenn has BS, MS, and PHD degrees in Chemical Engineering from Lehigh
University.
Glenn Dissinger is a Director of Product Management with responsibility for the Aspen
HYSYS product family. He has 30 years of experience in the application and
development of simulation models, with an emphasis on dynamic simulation
applications. Glenn has BS, MS, and PHD degrees in Chemical Engineering from Lehigh
University.                                                                           Maurice   Jett
Glenn Dissinger is a Director of Product Management with responsibility for the Aspen
HYSYS product family. He has 30 years of experience in the application and
development of simulation models, with an emphasis on dynamic simulation
applications. Glenn has BS, MS, and PHD degrees in Chemical Engineering from Lehigh
University.
Glenn Dissinger is a Director of Product Management with responsibility for the Aspen
HYSYS product family. He has 30 years of experience in the application and
development of simulation models, with an emphasis on dynamic simulation
applications. Glenn has BS, MS, and PHD degrees in Chemical Engineering from Lehigh
University.
Glenn Dissinger is a Director of Product Management with responsibility for the Aspen
HYSYS product family. He has 30 years of experience in the application and
development of simulation models, with an emphasis on dynamic simulation
applications. Glenn has BS, MS, and PHD degrees in Chemical Engineering from Lehigh
University.

Cristian graduated in IT & Mathematics, Economics and Oil Manufacturing
technologies. He has 10 years of experience in the Refinery Operations, Process
Engineering, Process Optimization and Advanced Control Groups. Cristian is currently
the team leader of the Optimization and Advanced Control Department and has
managed a variety of optimization projects.

Steve Dziuk is the Product Manager of Petroleum Refining Applications for the Aspen
HYSYS and Aspen Plus product families at AspenTech. He joined AspenTech in 1997
and spent several years in simulation services before moving to product management.
He specializes in refinery reactor simulation.

Steve Dziuk is the Product Manager of Petroleum Refining Applications for the Aspen
HYSYS and Aspen Plus product families at AspenTech. He joined AspenTech in 1997
and spent several years in simulation services before moving to product management.
He specializes in refinery reactor simulation.



Robert Ellis has over 17 years of experience in supply chain consulting, management
and software implementation using AspenTech’s suite of SCM tools. Currently, Robert
is part of the internal services group involved in the global rollout of a customized
PSEO-based scheduling template at Momentive Specialty Chemicals, Inc.                 Jie   Chen



Andrea Esposito is an advanced process control engineer in ENI Livorno refinery in
Italy. He is in charge for project development and application maintenance in
advanced process control area. He is also responsible for automation at DCS level.
Before joining ENI in 2006 he worked as a software engineer. He has an engineering
degree in telecommunications from the University of Pisa.

Javier Fernandez is Deputy Director for Telecontrol in Canal de Isabel II. Graduated in
Mathematics (Operations Research) in 1989, he has spent the last 18 years in Canal de
Isabel II, assuming different responsibilities, particularly focused in software
development, IT&C management and security. He is currently responsible for
instrumentation, control, automation, communications and software development
and integration.
Laurent has 15 years APC experience working with AspenTech APC packages such as
[DMC] 5, DMCplus, AspenIQ, Aspen SmartStep, etc. He started his career at
EXXONMOBIL as an APC engineer on steam cracking (ethylene) plants in 1997. He
joined the TOTAL Group in 2001 as the Senior APC Specialist for the Refining &
Marketing Research & Technology centre and was leading and executing APC projects
for all TOTAL refineries worldwide, covering the full range of process units. This work
included the implementation of multivariable controllers and inferential property
calculations. For the central group we was leading technology surveys for TOTAL and
running internal APC workshops and training sessions. He served the AC&O Board of
Users from 2006 until 2009. In 2009, he moved from the Central Engineering role and
joined the TOTAL Lindsey Oil Refinery in the UK as APC Specialist to actively drive the
deployment of APC through the entire Refinery. Laurent is running the ne w APC
projects and maintenance of existing controllers plus working on the refinery’s online
analyser replacement plan. Laurent is still active as a technology advisor for the
TOTAL Group for APC and runs beta test programs with AspenTech on their APC
software.

Tom is a Senior Analyst for ARC's Automation Consulting team and is responsible for
following the global industrial automation and process manufacturing markets. He
has broad experience in the process and discrete industries, government and
academia. Tom has been with ARC since 1999.

Matt is a Managing Director with Opportune LLPL. Matt brings over 17 years of
experience in global refining and marketing, pipelines and transportation (liquids and
gas), exploration & production, petrochemicals and mining, encompassing corporate
strategy, operations, transportation, marketing and back-office processes around the
globe. Prior to joining Opportune, Matt led the M&A and Commercial Systems groups
for PetroPlus Marketing AG, the largest independent refining and marketing company
in Europe.




Alexandra Fox is the project leader for supply chain in the cement division of Lafarge
Group. Alexandra joined Lafarge in April 2007 as a financial controller within the
finance department of the business unit in Austria. Alexandra Fox graduated of the
Vienna University of Economics and Business in International Business Administration,
and the Vienna University in Sinology.

Chris Friedman has 18 years of experience in aspenONE solutions. He currently serves
as the IT Manufacturing Services Leader at SABIC Innovative Plastics and holds a BS in
Chemical Engineering from Purdue University.


Since joining AspenTech in 2005, Mark has focused the company’s vision and
strategy on operational performance, product innovation, and market
leadership in the process industries. He will discuss recent developments both
at AspenTech and the industry in general, new technology innovations, and
why optimization is even more critical for today’s process manufacturers.



Jeanne Gardner is currently serving as Interface Tools Optimization Lead Value Chain
Optimization for Shell
Jeanne Gardner is currently serving as Interface Tools Optimization Lead Value Chain
Optimization for Shell
With more than 30 years of experience, Mike is responsible for the strategic
global application of IT across BP’s refining, marketing, supply &
transportation, lubricants, and petrochemicals businesses. He will discuss
best practices and lessons learned that have helped BP better utilize
technology to optimize operations and drive sustained growth.



Kedar Gidh is Lead Process Modeling Engineer in Global Engineering Organization at
Air Products and Chemicals, Inc. He enjoys harnessing process modeling technologies
to create effective business solutions. His expertise in Process Systems Engineering is
reflected by several publications and presentations. He holds Bachelor's and Master’s
degrees in Chemical Engineering.



Robert is the APC Industry Marketing Manager at Aspen.




Mr. Gordin has a Master Degree in System Analysis and Programming from Moscow
State Technical University (1993), MBA from California State University Hayward
(1996). He joined Conoco in 1997 in Moscow as commercial analyst, in 1999 moved
to Conoco and ConocoPhillips London offices for several commercial positions in gas,
oil, and oil products marketing and trading. Returned to Moscow in 2005 and become
Director for Associated Gas Projects with TNK-BP joint venture. In 2008 joined Sibur
LLC as a Head for Business Development of Synthetic Rubber Business. From 2009 lead
Sibur Supply Chain Management transformation project introducing best international
practices and planning tools in vertically integrated gas processing and petrochemical
company with more than 25 production sites and annual turnover above $7 bn.            I.   Birukova




Mr. Gordin has a Master Degree in System Analysis and Programming from Moscow
State Technical University (1993), MBA from California State University Hayward
(1996). He joined Conoco in 1997 in Moscow as commercial analyst, in 1999 moved
to Conoco and ConocoPhillips London offices for several commercial positions in gas,
oil, and oil products marketing and trading. Returned to Moscow in 2005 and become
Director for Associated Gas Projects with TNK-BP joint venture. In 2008 joined Sibur
LLC as a Head for Business Development of Synthetic Rubber Business. From 2009 lead
Sibur Supply Chain Management transformation project introducing best international
practices and planning tools in vertically integrated gas processing and petrochemical
company with more than 25 production sites and annual turnover above $7 bn.            I.   Birukova
Gustaf Gous completed a B. Eng (Chem) and a B. Eng (Hons) at the University of
Pretoria in South
Africa. He has worked in APC at Sasol, AspenTech and BluESP since 1997. Gustaf
currently leads
the BluESP APC team. The BluESP team has been successful in establishing
multivariable control in
the Mining, Metals and Minerals industry on a large scale.

John Granados is the Project Lead of Information Technologies for Ecopetrol’s
Upstream Division. He has over 19 years with EcoPetrol in maintenance, security and
IT and has won several awards for implementing upstream information solutions.

Sal is the Corporate Process Owner for Manufacturing and Quality Management
within DuPont's Manufacturing Center of Excellence managing DuPont's
manufacturing IT solution portfolio and digitized business processes. He has 25 years
experience in process automation and manufacturing IT solutions and is a certified
DuPont Six Sigma Black Belt.
Jim Graves is a process control engineer at BP’s Decatur Alabama Chemical Plant. He
has been implementing Advanced Control Applications for 15 years as both a
consultant and on-site control engineer in refining, chemicals, specialty chemical and
power industries.

Ralph works for Sasol Technology since 2006 as a Chief Process Engineer, responsible
for the support of systems and tools plus the training within the process design
function. During his time at Sasol Dr Grob has been involved with many departments
to get more value out of the Aspen Engineering Suite. Prior to working with Sasol
Technology Dr Grob worked for AspenTech as a Business Consulting Director
establishing the AspenTech South African office in 1996.



Arne Myrvang Gulbraar graduated from the University of Trondheim (NTH), Norway in
1993 with a MSc. degree in Mechanical engineering. Previous experience includes 4
years at Kongsberg Offshore Systems within multiphase metering systems and 8 years
at Kvaerner Process Systems within oil & gas separation systems/equipment. Arne
joined Billington Process Technology as senior process engineer in 2005.

Kelly Harred joined AspenTech in 2008 and serves as the Global Practice Director of
Supply Chain for our Professional Services organization. Kelly has almost 20 years of
Supply Chain and systems implementation experience through her tenure at
AspenTech, FuelQuest and Accenture. Kelly holds an MBA from the University of
Houston and an Electrical Engineering degree from the University of Tennessee,
Knoxville.

Kelly Harred joined AspenTech in 2008 and serves as the Global Practice Director of
Supply Chain for our Professional Services organization. Kelly has almost 20 years of
Supply Chain and systems implementation experience through her tenure at
AspenTech, FuelQuest and Accenture. Kelly holds an MBA from the University of
Houston and an Electrical Engineering degree from the University of Tennessee,
Knoxville.

Tracee is currently the Engineering Solutions Learning Operations Manager at Dow
Chemical. She has over 20 years experience in documentation and training targeted at
improving employee proficiencies.



Terry S. Higgins holds 40 years of experience in the energy industry. Higgins joined
Hart Energy as Executive Director, Global Refining & Special Projects. He recently was
honored by the NPRA receiving their receives today the Peter G. Andrews Lifetime
Service Award. Before joining Hart Energy he spent 14 years with the NPRA as
technical director. He has extensive experience in the application, design and
implementation of refinery modeling systems. He is the primary contributor to Hart
Energy’s World Refining and Fuels Service (www.hartwrfs.com) and oversees its
annual Global Crude, Refining and Clean Transportation Fuels Outlook

Jack Hitchens is a Business Consultant with AspenTech responsible for Supply Chain
within the EMEA region. Jack was previously in the implementation services team
with a track record of delivering successful Supply Chain projects for clients in a wide
range of industries. Jack has been with AspenTech for 12 years.
David Hokanson has held process control leadership at various ExxonMobil plants
globally. He received a BS and Masters in Chemical Engineering from Rice University in
Houston, Texas. He is a member of AIChE and ISA, and is a registered engineer in the
state of Texas
James Holoboff is Senior Project Manager with Process Ecology. His experience
includes process engineering, simulation, development and project support for
engineering and oil & gas companies since 2003. James worked at
Hyprotech/AspenTech for 9 years. He has a Masters of Science in Engineering (MSc)
from the University of Calgary.
Randall Hoppe, Process Manufacturing Industry Market Development Manager at
Microsoft, will provide an overview of these emerging technologies and give real-
world examples of how operating companies are taking advantage of these
advancements.
Randall Hoppe, Process Manufacturing Industry Market Development Manager at
Microsoft, will provide an overview of these emerging technologies and give real-
world examples of how operating companies are taking advantage of these
advancements.

Paul Hughes has a BSc in Chemical Engineering (Cum Laude) from the University of
Natal, Durban (1994), BSc (Computer Science, Operations Research) from the
University of South Africa 2003, and a BEng Hons in Control from the University of
Pretoria (2004). His professional experience includes working for Iscor (Mittal), African
Explosives (AEL/AECI), Natref (oil refinery) and Sasol. Paul is a specialist in ARC and
APC solutions.

Richard hughes has been working in the field of advanced control and optimisation
since 1985. He is currently employed as a technical specialist within Sabic

Aaziz is a Domain Optimization Lead for Total. He is responsible for functional
consulting to support B2B and B2B optimization for a globally deployed logistic system

George Ikonomou earned his PhD in Chemical Engineering from Johns Hopkins in
Baltimore. He has over 20 years industrial experience in software applications, paper
technology and specialty chemicals. He is a technical consultant and project manager
for process control, MES and APC at ACE’s Gulf Coast office in Houston.




BSc in Chemical Engineering 1997~2000 : Process Engineer (VDU, Hydrogen Plant)
2000 ~ 2010 : APC Engineer (CDU, Naphtha Reformer, FCC, Hydrocracer, RDS,
Hydrogen Network, etc)



Mr. Jeong is a BSc in Chemical Engineering. From 1997 to 2000 he was a Process
Engineer (VDU, Hydrogen Plant) at SK Energy. From 2000 to 2010 he has worked as
an APC Engineer on a variety of refining units (CDU, Naphtha Reformer, FCC,
Hydrocracer, RDS, Hydrogen Network, etc.)



Andrew Jones is a consultant process engineer with 15 years experience currently
based in Perth, Australia. He graduated from Nottingham University in the UK with an
honours degree in Chemical Engneering. His roles have covered a broad range of
applications and industries, including Oil and Gas, Chemical and Nuclear. Andrew is an
expert in dynamic simulation modelling and the integration of modelling technologies.




Dr. Norbert Kail studied chemical engineering in Aachen and London, obtained his PhD
from RWTH Aachen in the field of process engineering under the supervision of Prof.
Marquardt, entered BASF SE in 2008 and is currently working for BASF group
engineering as a senior process engineer in conceptual planning
Chang-Hoon Kang is a Senior Manager of LG Chem, supporting Monomer Innovation
Part under
NCC/Polyolefin Division of LG Chem Daesan plant in Korea. He has 15 years of
experience in the chemicals
industry as a project manager in the area of optimization & automation, plant
simulation, modeling and system
development.
Mr. Kapavarapu has over 15 years of experience in various activities such as Project
Engineering reviews, construction, pre-commissioning, commissioning and
stabilization. He has worked in the onshore KOC project management with experience
in gas booster stations and in the off-shore area through Upstream Petroleum Services
Pty. Ltd. in project completion and upstream operations through the FPSO M.V.
Crystal Sea division.                                                                 Adnan   E.Al-Adwani

Jong Joo Kim Manager, Energy Technology Management Team * Work history -. 2009
~ Present : S-OIL Energy Technology Management Team -. 1997~2009 : Refining
Process Engieering Department * Work experience with S-Oil -. Project leader on S-Oil
Onsan Refinery Energy Saving Project (2010) -. Project leader on Korean CDM Project
(2008) -. Project leader on S-OIl Onsan Refinery Energy Audit Project (2007) -. Project
leader on S-Oil Onsan Refinery Energy Saving and Cogeneration Assessment Project
(2006)

Ranjan has extensive experience as a Senior Technology Executive with responsibilities
involving developing, communicating, coordinating and implementing business
strategy and end to end change. Ranjan has over 18 years of multi-industry experience
with a strong emphasis in Supply Chain Management, Knowledge Management,
Business Process Re-Engineering (BPR), Product Launch and Off-shore development.

Ranjan holds a Graduate degree in Business Administration (MBA), Undergraduate
degree in Computer Science and Electronics Engineering, is a Certified Project
Management Professional (PMP)

Dr. Prashant Kokitkar has chemical engineering degrees from the Indian Institute of
Technology and Vanderbilt University. He worked at Michigan Biotechnology Institute
and Michigan State University before joining Eli Lilly and Company, where he supports
engineering modeling in R&D and production. He has co-authored 12 technical
publications and one patent.

Dave is currently a Subject Matter Expert in simulation at The Dow Chemical Co. His
30+ years in engineering and manufacturing includes experiences at Mobil Oil Corp,
ARCO Chemical Co., Rohm and Haas Co. and now The Dow Chemical Co.
eading the company’s worldwide sales operations, product management, and
business development, Manolis will address some of the current challenges
faced by customers—and what they can expect to achieve with the right
technology and strategy in place. Manolis has been with AspenTech since
1997.

N.B.KULKARNI is General Manager and Head of Heat Transfer and Applied Technology
Department at Toyo Engineering India Ltd. Mumbai, India. He has over 27 years
industrial experience in Thermal and Mechanical Design of various types of Heat
Transfer Equipment like, Fired Heaters, Reformers, Cracking Furnaces, Heat
Exchangers, Inustrial Boilers and Heat Recovery systems. He is working with Toyo
Engineering India Ltd. for last 21 years and formerly worked with Walchandnagar
Industries Ltd. and Hindustan Dorr Oliver Ltd. KULKARNI is Mechanical Engineer with
Masters Degree in Heat , Power and Refrigeration from Indian Institute of Technology,
Mumbai.



L. L. Ramachandran – Chief Manager( Information Systems) at BPCL – Kochi Refinery
is a Graduate in Electronics and Communication Engineering and Master in Computer
Science and Engineering. Was the technical lead for all the strategic projects like SAP ,
MES project, Asset Integrity Management System and core team member for
formulating the IT Strategy BPCL. Binu R. Senior Systems Officer of the IS - Masters in
Physics, Computer Applications.Also technical team for SAP , MES and AIMS
Deedra Lawrence has a Bachelor of Science Degree in Chemical Engineering from
Louisiana State University. She has been in the Engineering & Construction industry for
ten years working in the fields of Estimating and Process Engineering.

Jim Leatherby is the Senior PM&E Product Marketing Manager at AspenTech.                  Dan       Roessler

Jim Leatherby is the Senior PM&E Product Marketing Manager at AspenTech.                  Dan       Roessler

Mr. BM Lee is a General Manager at LG Chemical Co. Ltd. He graduated from Hanyang
University in Feb. 1985. He joined LG Chemical in Dec. 1990 and has worked there for
20 years, initially as a chemical engineer at the company, and then as a Project
Manager until last year. Mr. Lee is now the Team Leader of BD/BTX production in
ethylene plant.

Anna has over 25 years of Process Control and Information Systems experience. Her
technologies background includes servers, DCS and PLC systems, stencilers, PCs and
printers, operating systems, databases, programming languages and other layered
software applications. She also has extensive experience in numerous Aspen
Production Management and Execution solutions.




1987-1991: Studies of Process Engineering at the Cologne University of Allpied Science
1992-2002: Linde AG: Process Design of Brazed Aluminium Plate Fin Heat Exchangers
(PFHE) since 2003: Linde AG: Research and development regarding PFHE, Safety
Studies regarding PFHE, PFHE troubleshooting



Dave Litzen, President of Litzen Process Consulting, Inc. has 30 years process
engineering experience in both industrial chemicals with Shell Chemical and biofuels
with KL Energy Corporation. Recently, as co-founder and Chief Technology Officer of
KLE, Dave has used his industrial and simulation experience to promote technology
development in cellulose-based ethanol using a multitude of biomass feedstocks.



Andres Llorens has a Bachelor's degree from Colegio Nacional de Buenos Aires (2000)
and a degree in Chemical Engineering in UBA (2007). He has five years of experience
as a Process Engineer in the Oil & Gas industry including working at ExxonMobil
Campana Refinery (2006-2008) and Techint E&C (2008 to date). He hobbies include
photography, listening to music and watching NBA games.



Antonio Maganzani is a chemical engineer (University of Bologna – Italy) with 8 years
experience within Research, Technology & Engineering in polimeri europa, Italy. He
has been working as cost estimator for four years, after being junior process engineer
and CFD specialist. He has developed an internal method based on real data to
perform cost estimation of project at the stage of feasibility study; now he is
comparing and merging this method with Aspen Capital Cost Estimator capabilities.

Guenther has extensive GAMP knowledge and more than 12 years experience in
consulting, project management and implementation of MES Projects within the
pharmaceutical industry using various systems from different vendors. His experience
includes numerous site-wide implementations of Infoplus.21 and Batch.21 with
interfaces to various DCS’s and reporting of batch processes.

Mayra Marchetti is a process engineer at A. Evangelista S.A. (AESA-YPF), an
engineering firm in Buenos Aires. Argentina. She has ten years of work experience in
process simulation and industrial projects with a special focus in relief system design
and evaluation studies, revamps and new designs. She has a degree in Chemical
Engineering from Buenos Aires University and holds an M.S. in Engineering
Management from Florida International University.                                         Gustavo   Delistovich
Paul Mathias is a Technical Director and Senior Fellow in Process Technology at Fluor
Corporation. His specialization is process modeling and applied thermodynamics.
Paul previously worked at the Aspen Project (MIT), Air Products and Chemicals, and
Aspen Technology.

Andy McBrien was a founder member of Zyqad Ltd, and led product development. He
joined AspenTech after the acquisition of Zyqad in 1998. Since then, he has held a
number of positions, including senior leadership roles in R&D and Product
Management. Andy practiced as a Chemical Engineer in process design, project
engineering, and plant operations. He has a BSc and PhD in Chemical Engineering from
the University of Nottingham in the UK.

Dan McCarthy is a Product Manager with responsibility for the Economic Evaluation
products. He has more than 35 years of experience in the areas of cost estimating and
scheduling. Dan has a B.S. in Chemical Engineering from Notre Dame.

Dan McCarthy is a Product Manager with responsibility for the Economic Evaluation
products. He has more than 35 years of experience in the areas of cost estimating and
scheduling. Dan has a B.S. in Chemical Engineering from Notre Dame.



Larry retired from Dow Chemical after 36 years in the Engineering organization. He
spent 32 of years in estimating large and small capital projects around the world. He
was also the Technical Resource leader for the Estimating function, responsible for the
Global Estimating work process and toolsets. Since retiring, he has rejoined Dow, on
contract, as the Program Lead estimator, for the Yulin Coal to Chemicals project to be
built in Shaanxi Provence, PRC. Larry has been married to his wife, Lynn, for 32 years
and has 3 grown children with families of their own. Larry and Lynn currently live just
north of Canyon Lake, in the Texas Hill Country.

Jim McNaught has long experience in the development and improvement of the
thermal-hydraulic models in Aspen Exchanger Design and Rating Software. His specific
expertise covers shell and tube heat exchangers, plate exchangers, feedwater heaters,
condensers (process and power plant), shell and tube evaporators, reboilers, falling
film evaporators and reflux condensers. He is the author or co-author of over 50
Research Reports in the HTFS Research Network.

Jim McNaught has long experience in the development and improvement of the
thermal-hydraulic models in Aspen Exchanger Design and Rating Software. His specific
expertise covers shell and tube heat exchangers, plate exchangers, feedwater heaters,
condensers (process and power plant), shell and tube evaporators, reboilers, falling
film evaporators and reflux condensers. He is the author or co-author of over 50
Research Reports in the HTFS Research Network.



Steven Medoff is a software engineer with over 25 years industry experience, the
majority of which has been focused on estimating technologies. Steven received his
MSE in Computer and Information Science from the University of Pennsylvania and his
BA from Bucknell University. Steven has been a member of the Aspen Icarus Steering
Committee since its inception and is a past Chairman of that committee.

Norbert is the Director of Business Consulting for AspenTech in Europe.

Mike Mendez, P.E. is a Business Consultant at Aspen Technology where he has been
for 17 years. Most of his 31 yr career has been dedicated to chemical process design.
Mike earned BS degrees in chemistry from Florida Atlantic University and in Chemical
Engineering from University of South Florida.

Dr. David C. Miller is a senior researcher at the National Energy Technology Laboratory
(NETL) and serves as the Technical Team Lead for the U.S. Department of Energy’s
Carbon Capture Simulation Initiative. He is an expert in the areas of process
simulation, process synthesis, design, and optimization.
Hafiz worked as board operator for more than ten years in polymer plant. He was part
of the project team that implemented non linear APC for polymers. Currently he APC
focal person in the company and committee member of Petronas Malaysia APC group



Olga has a Barchelor degree on Chemical Engineering from Instituto Politecnico
Nacional. She started working at Instituto Mexicano del Petroleo (IMP) as process
engineer developing simulation models of flare and safety systems, P&ID’s and basic
engineering for small projects. In 1996, Olga left the IMP to join ICA-FLUOR as a
Process Engineer supervisor. In 1997, she received the opportunity to work in
Petroleos Mexicanos (Pemex) as a Cost Estimator in the Project & Construction
department. Her main functions on this department were: Prepare and develop cost
estimations, investment analysis and profitability studies for different projects in
Pemex Gas. In 2002, she received a promotion as an Assistant Manager of Cost
Engineering Department.



Michael Newgas is a Process Engineer with Parsons Corporation. He has been with
Parsons for 3 years and has over 6 years of experience involving modeling simulations
such as Aspen Plus and Aspen HTFS+. Mike has a BS in Chemical Engineering from
Rowan University in Glassboro, New Jersey.

Steve has been actively involved with heat exchanger engineering for more than 35
years. He started his career with B-JAC International where he held a variety of
positions including systems manager, customer support, and business manager. He
currently holds the position of Industry Marketing Manager for the Aspen Exchanger
Design & Rating product suite.

Masashi Okada is Senior Process Engineer in the Plant Engineering division at Hitachi
Zosen Corporation. He received his degree from Nagoya Institute of Technology



Ray has been a Principal Engineer at P&H Mining Equipment Inc. for two years.
Previously, Ray held positions as a Sr. Architect with eLumindata and as a Principal
Engineer in Pitney Bowes.

Alok Pandit is a postgraduate chemical engineer from IIT Kanpur, India. He has 25
years of experience in operations, technical services, modeling and simulation,
training, sales and business management.                                                 Dr. Sanjiv   Bachal




Mr. Prashant Parihar is Senior Research Engineer at Corporate R&D Centre, BPCL. He
did his Masters in Chemical Engineering from Institute of Chemical Technology,
Mumbai. He has more than 4 years of research experience in the areas of design of
experiments, hydroprocessing, process modeling and simulation.
Mr. Park experience includes: Construction & Initial operation Ethylene plant in HPC;
Technology & Process Control Team in HPC; ERP Project Team in HPC ; Information
Strategy Team in HPC ; Polyethylene Plant Section Chief in HPC; Energy T.F.Team
manager in HPC



Mr. Parmar is a technical professional with over 25 years’ of rich experience in
simulation studies for process optimisation, process improvement, process
development and revamps and, troubleshooting distillation columns. He has also
provided technical support to the acrylonitrile plant. In addition, he is the Head of the
Energy Cell and Utility area. He has performed simulation studies of most of the
systems of the Vadodara Division and provided support to the Gandhar and
Nagothane divisions of Reliance Industries Ltd. (RIL). Schemes based on simulation
have been successfully implemented and benefits are being accrued.                        Hetal       Kothari
Kiran Pashikanti is a research assistant in the Chemical Engineering Department at
Virginia Tech. His research interests include refinery process modeling and energy
optimization. He has modeling experience with a variety of Aspentech products and
has consulted for SINOPEC and Formosa Petrochemical Corporation.                           Y. A.   Liu




Željko Patljak is a Planning and Optimization Advisor in the Supply Chain Management
Group at INA d. d a division of MOL Group



Swapan Paul is a Senior Process Engineer at Lurgi GmbH with over 13 years of
experience in process engineering and plant contracting. Experience lies in the field of
Basic Engineering, Extended Basic Engineering, Detail Engineering, Marketing support
of Process Plant, Plant Precommissioning and Commissioning, Expediting, Site
management during Precommissioning, Commissioning. Over 8 years experience in
Process Engineering Software Management, Development, Customization and User
support of Aspen Basic Engineering (Zyqad).

Jeff Pauls is currently a member of the Process Development and Modeling Discipline
in Global Process Engineering at Dow Chemical. He is the primary focal point and
subject matter expert for the Aspen Engineering Suite in Dow. He has more then 25
years experience in Process engineering and process modeling along with experience
in Agricultural Chemicals, Polymers and Specialty Chemicals. Pauls graduated from
Rose-Hulman Institute of Technology in 1979 and has worked for Dow Chemical for
over 30 years.




Marc joined DSM in 1999 and held several positions in the area of process control. He
has more than 10 years experience in basic and advanced process control solutions.
David Platt has 20 years experience with Dow Chemical with the last 4 years
implementing and supporting DMC and RTO.

Mr. Potter is an expert in US fuels, refining, and air quality issues. He also served as
Chairman of the United Nations Alternative Octane Working Group addressing world-
wide lead phase down and international sulfur reduction. In December 2010, the EPA
recognized him for life-long contribution to Advancing Clean Fuels.



In his role at Huntsman‚ John has global responsibility for major project
engineering and Manufacturing Excellence support for all Huntsman
manufacturing sites. In 2010 Huntsman sold $9.3 billion in Specialty
Chemicals and Performance Products, produced at 77 manufacturing sites
located in North America, Europe, the Middle East and Asia.

Dr. Betty Pun received her M.S. and Ph.D. in Chemical Engineering from
Massachusetts Institute of Technology. At Calera, she specializes in process modeling
involving carbon dioxide and carbonates in aqueous systems.

Dr. wu , the Chief Engineer of CNOOC Huizhou Refinery and also the Director of
Planning & Investment Management Department , has extensive experience in
engineering, research and operating / oil refining management of china petroleum
and petrochemical industry , and also has very good relationship with
PETROCHINA,SINOPEC,CNOOC and SINOCHEM. Dr .wu holds Master Degree of
Science from Northwest University and PhD from Research Institute of Petroleum and
Petrochemicals and has more 20 years of engineering, research and operating/ oil
refining management experience in energy industry.
Pranab Kumar Rakshit is a Deputy Manager (R&D) with Bharat Petroleum Corporation
Ltd, India, specialising in the development of technology for conversion of coal to
liquid fuels. He holds a master’s degree in chemical engineering from Indian Institute
of Science, Bangalore, India.

Tom has over 30 year experience in heat transfer. He started his career in research on
physical properties and boiling heat transfer progressing to furnaces and tubular
exchangers. He managed software development in air cooled and shell & tube heat
exchangers for HTFS, joining AEA Technology in 1999 and AspenTech in 2002. Tom is
currently Product Manager for Exchanger Design and Rating products.

Tom has over 30 year experience in heat transfer. He started his career in research on
physical properties and boiling heat transfer progressing to furnaces and tubular
exchangers. He managed software development in air cooled and shell & tube heat
exchangers for HTFS, joining AEA Technology in 1999 and AspenTech in 2002. Tom is
currently Product Manager for Exchanger Design and Rating Products.

Tom has over 30 year experience in heat transfer. He started his career in research on
physical properties and boiling heat transfer progressing to furnaces and tubular
exchangers. He managed software development in air cooled and shell & tube heat
exchangers for HTFS, joining AEA Technology in 1999 and AspenTech in 2002. Tom is
currently Product Manager for Exchanger Design and Rating Products.
Production Planning Group, Technical Services, Mangalore Refinery and
Petrochemicals Ltd                                                                       Venkateswarlu   Kumbha

Mr. Kishore Rajapurkar is B Tech in Mech Engg from IIT Bombay. He is Managing
Director of Radiant Engineers and Radiant Heat Exchangers Pvt Ltd. They have been
manufacturing a very wide range of Heat Exchangers with heat transfer areas ranging
from 1 sq.ft. to 45000 sq.ft in a variety of materials such as copper, brass, carbon
steels, stainless steel SS304, SS310, SS316L, copper alloys such as cupro nickel,
Admiralty & Aluminium Brass and many other Materials. Their product range includes
oil coolers, intercoolers, after coolers, marine heat exchanger, oil cooling systems
condensers &chillers, economizers, super feed heat exchanger, receiver and surge
drums.                                                                                   Rohan           Rajapurkar

Dr. Carlos Raspanti is an Applications Engineer at Profertil, S.A., in Bahía Blanca,
Argentina, since October 1999. He has a Ph.D. in Chemical Engineering (2000) from
PLAPIQUI-UNS-CONICET, Bahía Blanca, Argentina, and a Bachelor's degree in Chemical
Engineering (1991) from Universidad Nacional de Río Cuarto, Argentina. Previously he
worked as a Process Control Engineer from 1997 to 1999 at DOW Chemical Inc., and
as a Junior Process Engineer from during 1990-91 at YPF-Repsol.                      Martin              Rossi




ACADEMIC DEGREES:
Ph.D. in Chemical Engineering (2000), PLAPIQUI-UNS-CONICET, Bahía Blanca,
Argentina.
Chemical Engineer (1991), Universidad Nacional de Río Cuarto, Argentina.




Senior Process Engineer and simulation expert at Rhodia company.
David Reumuth has worked for AspenTech for 11 years. David is the MSC Technical
Support Manager for North America/Latin America and he also oversees AspenTech's
global MSC Token Deployment team.
Elliott Robertson P.E serves as Associate Process Engineer for Burns & McDonnell
Engineering in Houston, Texas. He has 26 years of engineering and consulting
experience in the process industries. He has served in business development roles at
Dassault Systemes and Aspen Technology. Mr. Robertson was Production Engineer at
Dow Chemical. He is a graduate of Clemson University with B.S. and M.S. degrees in
chemical engineering; and is a registered engineer in Texas, Louisiana and Wyoming.




Richard R. Robertson, Process Engineering Consultant – DuPont Engineering, provides
process engineering expertise to DuPont's Interoperability efforts and the support of
business evaluations and capital project execution. In addition, he is the Chairman of
the DuPont Process Engineering Network. He has a BSChE from Brigham Young
University. Robertson joined DuPont Crop Protection in 1979 at the LaPorte Plant. His
LaPorte assignments included new venture process development, project design and
implementation, maintenance, reliability engineering, and process engineering. In
2004 Robertson moved to Crop Protection’s Facilities Engineering Group and was the
Capital Coordinator at Houston Manufacturing Services. In 2006 Robertson became
part of the DuPont Engineering Process Engineering Group. In 2009 he became part of
the Interoperability effort expanding his responsibilities to his current role.

Dan Roessler is the Chemicals PM&E Industry Marketing Manager for AspenTech.               Jim    Leatherby

Dan Roessler is the Chemicals PM&E Industry Marketing Manager for AspenTech.               Jim    Leatherby

Dan Roessler is the Chemicals PM&E Industry Marketing Manager for AspenTech.               Tony   Sethi
Laura Rokohl is the Industry Marketing Manager for Chemicals Supply Chain. She has
been with AspenTech for 12 years in a variety of roles from professional services to
business consulting to marketing.
Laura Rokohl is the Industry Marketing Manager for Chemicals Supply Chain. She has
been with AspenTech for 12 years in a variety of roles from professional services to
business consulting to marketing.




Karen Romero is a Chemical Engineer with 9 years of experience. She has a Masters in
Gas Engineering and degree in Sustainable Development. Karen is a Process Engineer
at Pequiven and Professor of the Universidad Rafael Maria Baralt, Venezuela.

Eric M. Roy is a graduate of Tulane University, BSChE, 1986. He is been with Westlake
Chemicals since May 1997. Eric has over 22 years practical engineering experience
including extensive process design experience. He has over 15 years experience with
plant modeling utilizing software such as Apsen Plus, Aspen HYSYS, and Aspen's
Exchanger Design and Rating programs. He also is experienced in project scope
development and plant troubleshooting.



Eva Sanchez Fernandez MSc, Principal Research Scientist Carbon Capture (TNO) Eva
Sanchez Fernandez graduated for his MSc. at Madrid Complutense University and
followed post Master studies at Delft University (specialization Bioprocess design). Eva
has over 5 years of experience in chemical engineering research and development. Eva
is leading now the modelling team on carbon capture technologies at the separation
technology department in TNO. She is involved in the most relevant EU projects on
CCS where she contributes to the modelling and benchmarking of post- and pre-
combustion capture technologies. She has broad experience with the process
simulation package Aspen Plus and she has published several tittles in scientific
journals, reports, and proceedings. Next to that he holds more than 5 patents on
separation technology.
Charles Sanderson is Technical Director for Cargill Process Optimizers and also leads
the Cargill research team focused on process simulation. Over his 12 years in Cargill,
he has personally led projects to improve operability and/or environmental
sustainability in over 75 plants around the world. Charles led the adoption of Aspen
Custom Modeler™ (ACM) at Cargill, and the development of a Cargill library and tool
set based on ACM.



Gilbert has worked in IP.21 application support at DuPont for the past ten years.
Diploma of University of Dortmund, P.HD of University of Dortmund, more than 20
years experience with simulation in chemical industry, working for Evonik process
engineering department as project engineer, responsible for organization of basic
engineering workflow.

Dorothea Schwarz, PHD in chemical engineering of the University od Dortmund,
germany. Professional life started as technical hotline consultant at Hüls. Then
responsible for the physical properties including the measurements. For more then 10
year project manager at Degussa -Hüls which became EVONIK several years a go.Now
responsible for the engineering workflow with special regards to the basic engineering
activities.
Mr. Seidman, Engineering Systems Manager– DuPont Clean Fuel Technologies, is
responsible for managing, developing, and integrating engineering tools that are used
in the completion of process designs.

Partha Sengupta is Senior Advisor in Shell’s Supply Chain Excellence group. Partha is a
Mechanical Engineer with a PHD in Operations Research. He has worked in Refinery
Planning, On-Line Optimization, and Refinery Scheduling area in Shell for over 20
years. He is Shell’s Global Lead for Refinery Scheduling Network.                         Christopher   Collins



Nipen Shah is working as a research engineer at Jord International, Sydney. He leads
development projects across various divisions in the company. His areas of expertise
are process design and process optimisation. He holds a PhD in chemical engineering
from Monash University.



Over thirty three years of experience in project management and leadership, systems
integration, advanced process control, engineering design, structured software
development, managing large scale software development, implementation, support
and maintenance across global office locations with a large multi-discipline team,
manufacturing automation including several years in the manufacturing operations of
heavy and sheet metal fabrication.

He has been with Fluor for over 23 years and has been involved in a wide variety of
projects and internal initiatives such as corporate-wide Engineering Design
Automation, Plant Level Automation, Process Control, Manufacturing & Industrial
Engineering, etc. He is located in Fluor’s Greenville, SC, USA office.

He was responsible for Fluor Corp wide implementation of Aspen Zyqad and Aspen
Icarus Process Evaluator along with several other process technology automation
initiatives. He was founding member and served on several software advisory
committees at AspenTech.
George Shen is a member of the Advanced Controls Department of Air Products &
Chemicals. He is responsible for identifying opportunities, developing the scope, and
then implementing advanced process controls in Air Products' operating facilities. He
holds a BS in Chemical Engineering from the National Taiwan University, and a MS and
PhD, both in Chemical Engineering from The Ohio State University. George has been
involved in Air Products’ DMCplus projects over the past 16 years, and has
accumulated a lot of experience from applying DMCplus controllers to various process
units.
                                                                                        David     Espie

Richard Sherman is an internationally recognized writer, researcher, and speaker on
trends and issues in logistics, supply chain management, technology, marketing and
organizational change. As a research director, he launched the supply chain
management advisory services for AMR Research and was a leading member of the
team that developed the SCOR model and founded the Supply Chain Council.

Daeho Shin is a Principal Research Engineer at SK Innovation (formerly SK Energy),
Korea. He is in charge of developing polymer processes at the research center. Mr.
Shin has over 20 years of experience in polymers and has developed several
commercial polymer processes (Polypropylene Gas Phase Reactor, Single site
Polyethylene Solution Process, etc.) and many polymer pilot plants. Daeho Shin holds
a Masters and a Bachelor degree in chemical engineering from Yonsei University in
Korea.



Russ Smith has the role of Core Discipline Member in the Process Development,
Modeling, and Optimization Expertise Center. His emphasis is in the area of Dynamic
Modeling with a special focus on development and evaluation of control strategies.




Mr. Stanislowski’s principal areas of interest and expertise include fossil fuel
combustion for energy conversion, with an emphasis on trace element control,
gasification systems analysis, combustion and gasification pollution control, and
process modeling. He has extensive experience with process engineering, process
controls, and project management. He has a strong background in gauge studies,
experimental design, and data analysis.




Jason Stevens is the Lead Estimator for Linde Process Plants in Tulsa, Oklahoma where
he has used Aspen Capital Cost Estimator for the last 2.5 years. His background is in
Instrumentation where he was with Husky Energy in Alberta, Canada for 11 years prior
to relocating to the United States.

John is a Blending and Scheduling Advisor at Hovensa since Oct, 2007. Responsible for
APS, MBO, DSS, all support applications and reporting tools. Before that employed by
Aspentech/Setpoint starting in 1984. Was the product mgr for PIMS, APS, and MBO




Mr. Takeda is with the Production & Technology Group at the Shikoku Operations of
Taiyo Oil Co., Ltd., Japan.                                                             Satoshi   Nagata

Paul Talley is an Advisory Business Consultant with Aspen Technology.
TBD
Over 10 years of overall Information Systems experience and over 3 years Process
Information Systems experience and. Background in technologies including servers,
PLCs, stencilers, PCs and printers, operating systems, databases, programming
languages and other layered softwares. Projects include a Process Quality Logsheet,
Finished Product Labeling Upgrade, and connectivity to Honeywell Experion via
redundant CIM-IO Servers. Experience specific to Aspen products includes Setcim,
IP.21,Q, AspenCalc, Aspen Recipe, GCS, Process Explorer, Web.21 and SQLPlus.
David Tremblay is AspenTech's Director of Product Management for the Aspen Plus
product family. He has worked at AspenTech for over 20 years in a number of roles.
David holds a BS ChE degree from UNH.
David Tremblay is AspenTech's Director of Product Management for the Aspen Plus
product family. He has worked at AspenTech for over 20 years in a number of roles.
David holds a BS ChE degree from UNH.
David Tremblay is AspenTech's Director of Product Management for the Aspen Plus
product family. He has worked at AspenTech for over 20 years in a number of roles.
David holds a BS ChE degree from UNH.

Mr. Tsuchiya received a Master’s degree in Chemical Engineering in 2007 and joined
Mitsui Chemicals. Since 2008 he has worked in the Utilities Planning & Control Section
at the Ichihara Works. He has worked on the optimization adoption project from its
Feasibility Study (April 2008), modeling (April 2009 ~ March 2010), commissioning
(April 2010), and now normal operation (Oct 2010).                                     Satoshi   Nagata
Paul Turner is the APC Product Manager.                                                John      Campbell
Paul is the APC Product Manager for APC



Marilize van der Hoven is a Senior Mechanical Engineer with 10 years experience with
Sasol Technology (Pty) Ltd, South Africa (project execution) and Foster Wheeler
Energy Limited, UK (packaged equipment design). Qualifications from the University of
Pretoria, South Africa: • Masters Degree (subject - flow induced vibration) • B.Eng.
(Mechanical) For the past year and a half she has been involved in the development of
Sasol Technology’s generic GTL cost estimating model based on ACCE software.

Wim Van Wassenhove is a Business Consultant at AspenTech. Wim completed a
masters degree in Chemical Engineering at the University of Ghent in Belgium. He
worked for three years for Solvay as a process engineer after which he started his own
consulting company in process modeling. He joined Hyprotech in 1992 and has since
held various positions in sales and business consulting. Wim has extensive experience
in steady state and dynamic modeling of oil & gas processes and natural gas
liquefaction.



Dimitri is a Senior Director in the R&D organization. He has been with Aspen
Technology for over 17 years and he is a leading expert in the area of Process
Systems Engineering that lies at the interface of chemical engineering,
operations research, and software engineering. Dimitri has a M.Eng. in
Chemical Engineering from Aristotle University of Thessaloniki and a Ph.D. in
Chemical Engineering from Carnegie Mellon University.

Mrs. Lakshmi Venkatesh is Assistant General Manager, Process at Petrofac Engineering
India Ltd., Mumbai. She heads the process group of about 80 engineers in Petrofac
Mumbai. A graduate in Chemical Engineering from UICT, Mumbai she has over 26
years experience in process design for various conceptual, FEED and detail engineering
projects. Prior experience includes positions at Larsen & Toubro, Aker Kvaerner and
Petrofac International Sharjah.

Jan Versteeg has a Master’s degree in Mechanical Engineering and Process Control
Technology. He has expertise in a wide range of engineering, production and project
execution areas. He is currently a member of SABIC’s Global Competence Center in the
discipline of manufacturing automation for SABIC worldwide.
David has been with Dow's Process Engineering Process Modeling Expertise Area since
joining Dow in 2002. He has served as the Expertise Area leader since mid 2007. Prior
to joining Dow, David work for Aspen Technology, Dynamic Matrix Control
Corporation and ChemShare Corp. David has a Ph.D., M.S. and B.S. in Chemical
Engineering from Clarkson University, Potsdam, NY.

Vishwas has nearly 30 years experience in heat transfer research. He started his career
with a doctorate in mass transfer but moved to boiling heat transfer with his post-
doctoral assignment at Oxford University. After joining AEA Technology, he continued
his career in research as well as software development, and later became HTFS
Research Manager. He has been working with AspenTech since 2002, and currently he
looks after HTFS Research as a Technology Director. He has published a number of
technical papers in the area of compact heat exchangers, multiphase flow and boiling
heat transfer.

Vishwas has nearly 30 years experience in heat transfer research. He started his career
with a doctorate in mass transfer but moved to boiling heat transfer with his post-
doctoral assignment at Oxford University. After joining AEA Technology, he continued
his career in research as well as software development, and later became HTFS
Research Manager. He has been working with AspenTech since 2002, and currently he
looks after HTFS Research as a Technology Director. He has published a number of
technical papers in the area of compact heat exchangers, multiphase flow and boiling
heat transfer.

Marc Wagner joined Air Liquide more than twenty years ago. Marc has worked in
Cryogenic Engineering in different technical areas with emphasis on heat exchangers,
and recently moved to the Corporate Research where he concentrates again on heat
exchangers and gas productions equipment as Air Liquide's International Senior
Expert. Marc holds about a dozen patents.

Harvey Welker is an independent Aspen Economic Evaluation consultant with over
twenty-five years of ICARUS experience as a user and trainer. He has worked as an
estimator for Sun Oil, FMC and Kvaerner Engineering. His clients include DuPont
Engineering, Campbell's Soup, IOGEN Ethanol Development, Shell and Jacobs
Engineering.

Steve is Vice President of Manufacturing Supply Chain Product Management and
Global Sales Operations at AspenTech.

Steve Williams is the Vice President of APC Product Management at AspenTech




Howard Wilson is a Physical Properties Specialist for ConocoPhillips at their
Technology Center in Bartlesville, Oklahoma. His primary assignments relate to
property estimation for chemicals and to process simulation. He represents
ConocoPhillips on the API Technical Data Committee and AIChE DIPPR Technical
Committee. Prior to joining ConocoPhillips he worked for Wiltec Research Company
performing physical property measurements. He obtained a B.S. in Mechanical
Engineering and a Ph.D. in Chemical Engineering from Brigham Young University.            Dale L.   Embry




Adam Wood is a graduate of Texas A&M University with a B.S. in Chemical
Engineering in 2006. He worked as a Process Engineer at AMEC Paragon during 2006-
2010. Since 2010 he is a Project Engineer at AMEC Paragon. Adam has worked on
design and dynamic simulation applications in engineering. He has presented at past
AspenTech and GPA conferences.
Malcolm has a PhD (Modelling of 3 phase distillation) from University of Cambridge,
1989. He was involved in BP's in-house simulator (GENESIS) development and support
1989-1993. Malcolm was the Engineering Technology Manager, Process Simulation,
BP Chemicals, 1994-2006. He was also responsible for the BP Chemicals relationship
with AspenTech for engineering tools. During 2005=2006 he as the Project Leader for
Process Engineers Toolkit at BP Aromatics & Acetyls. In 2007 he joined Field of the
Future Technology Flagship, BP Exploration & Production Technology. He has been
responsible for delivery of sustainable System Optimisation modelling technology for
use in operations.                                                                   B.J.   Stenhouse



Jim Wu is a consulting engineer and the control team lead at the LyondellBasell
Channelview olefin plant. He has been working on advanced process control and on-
line optimization for more than 18 years at both central engineering and plant levels.
He is also the company-wide olefin process control and optimization best practice
team leader. He received his Ph.D. in chemical engineering from Purdue University.



Khaled Zayadine graduated as ‘Diploma Chemiker’ from the Humboldt University in
Berlin in 1976. He obtained an MSC in Chemical Engineering from Bradford University,
UK in 1981. Khaled has held various positions working in various refineries around the
world. He current is with BP’s Integrated Supply and Trading group providing asset
economists and traders with effective tools and advising on LP methodologies and
business processes for crude and feedstock selection




Jack has been with AspenTech since 2000 after obtaining my doctoral degree in the
area of process integration. Since joining AspenTech, he has been working in different
functions; R&D, Professional Services and Product Management. He has about 15
years experience in the field of energy efficiency improvement and management.
Co-Presenter Company
AspenTech




Bechtel Oil, Gas & Chemicals
Wintershall




AspenTech
Momentive Specialty Chemicals, Inc.
AspenTech
Momentive Specialty Chemicals, Inc.
Accenture Russia




Accenture Russia
Kuwait Oil Co.
AspenTech

AspenTech




ANCAP
Equinox




Reliance Industries
VirginiaTech-Sinopec
Mangalore Refinery and Petrochemicals Ltd




Radiant Engineers




PLAPIQUI
AspenTech

AspenTech

AspenTech
Shell
Air Products




AspenTech
AspenTech Japan Co. Ltd
AspenTech
ConocoPhillips
BP Upstream

								
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