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People … … Knowledge and STATEMENT Processes …


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									                                  People …

               … Knowledge and                    STATEMENT
                 Processes …

… and Technology …

                                                    ReservoirTeam Ltd,
                                                               PO Box 967
                                                        Mt Barker SA 5251
             … Adding up to the Bottom Line.            +61-(0)403-113610
                         RESERVOIRTEAM VISION
        People + Technology + Processes + Knowledge          Competitive Advantage

          ReservoirTeam stands for value driven integrated subsurface evaluation.

ReservoirTeam provides comprehensive business solutions effectively leveraging the
technical, procedural and intellectual strengths of its upstream industry clients.
ReservoirTeam and its associates have a proven track record in adding value and competitive
advantage through their integrated approach towards technology, processes and knowledge in
the business.

ReservoirTeam’s core competencies and services focus on the key value drivers in modern
integrated subsurface reservoir evaluation and development project management including:
   •   Project Framing and road mapping at the onset of a project trough focused workshops
   •   Project specific workflow design and workflow management
   •   Uncertainty and risk management methodologies and processes
   •   Technical consulting in the fields of petrophysics, geology, geophysics, geostatistics,
       3D geo-modeling, reservoir engineering, well engineering, and surface facility
   •   QAQC and Project Value Assurance (peer review) processes
   •   Capture and delivery of work flow based knowledge linked to live projects
   •   Mentoring and training in all of the above

ReservoirTeam and its associates are committed help project teams to deliver technically and
economically sound investment proposals, risk management and value assurance. Jointly, we
deliver highest professional standards through senior professionals with proven expertise and
experience in integrating upstream oil and gas evaluation work with people, collectively held
knowledge and project management processes.
                                 Principal Consultants
Dr. Joost C. Herweijer, Geologist/Petroleum-Engineer, President, has over 25 years of experience
characterising heterogeneous formations for fluid flow modelling. His expertise is that of a multi-
disciplinary earth science integrator using a synthesis of: reservoir geology; petrophysics,
geostatistical facies and property modelling; geological interpretation of well tests; and integration of
geology (interfacing) with reservoir engineering. He has been involved in field studies in Europe,
Western Africa, the Far East, Australia, and Venezuela.

Simon McGuire, B.Sc. Geology, 3D modeller / IT specialist, has 20 years experience in the oil and
gas industry. His expertise is focused on IT applications for geo-sciences including computer
mapping, set-up and maintenance of shared earth-databases (such as Landmark Openworks) and 3D
modelling. He has also large experience with Internet based applications and the use of web sites for
knowledge mining/management, resource planning, and project management.

Karen Bard has over 25 years of broad experience in petroleum engineering. She holds both a
bachelors and a masters degree in petroleum engineering and has both academic and hands-on
experience in geology and geophysics. She has extensive experience in project management and asset
team integration. Her technical expertise is in reservoir characterization and has worked in North and
South America, Russia, Australia and Indonesia. Her professional experience has been in the lab
working with cores to numerical modeling to integrated field development. Recently, she has been
working in project management, 3D visualization, project facilitation and knowledge management.
She is a Board Member of the Reservoir Characterization Project out of the Colorado School of
Mines which does research in the area of 4D -multi-component seismic; predominantly in carbonates

Karl Meade, B.Eng. Geology/Geophysics, is a senior Reservoir Engineer with over 20 of broad
experience in Oil and Gas Development, Exploration, Economics, Project Management, and Change
Management Initiatives. With academic training in Geological Engineering and Geophysics, he has
hands-on experience in Petrophysics, Reservoir Characterisation, Reservoir Engineering, and
Simulation in a variety of field settings in Canada, the North Sea, Europe, Australia, and Indonesia.
In the past five years he has specialised in the design and implementation of large projects, with
particular focus on Discipline Integration and Project Management
                                  Project Examples
The following is a limited list of projects undertaken by ReservoirTeam and its

A super-major multinational oil companies contracted ReservoirTeam to implement
workflow based Knowledge Management using the Common Knowledge system to build a
‘live’ catalogue of knowledge and to disseminate expertise developed in multidisciplinary
field development study teams. The company also asked ReservoirTeam to use Common
Knowledge system to develop and maintain a workflow based geostatistical best practice
system oriented in support of study projects.

ReservoirTeam has been instrumental setting up a Knowledge Management system across the
development arm of one Australia’s largest operators. This KM effort encompassed all
upstream activities including subsurface (study and operations) and facilities
conceptualization (gas-LNG and oil).

Workflow development and mentoring contributed to the successful 3D modelling of a giant
mature oil field operator in Indonesia. On the same project ReservoirTeam also deployed a
reservoir engineering expert to fast track simulation efforts. As a result of this undertaking the
operator’s project team gained substantial additional insights in alternative scenarios for
subsurface architecture and the team could adjust drilling programs accordingly.

ReservoirTeam has organized an advanced Reservoir Characterization (modeling and
geostatistics) training course in cooperation with the Australia School of Petroleum
(University of Adelaide) and Quantitative Geosciences (QGSI Llc.)

Various level of effort multidisciplinary model studies were undertaken for large and small
operators in Australia and New Zealand. These studies entailed fit for purpose static (geo-
modeling) and dynamic (simulation) modelling. ReservoirTeam staff is fully capable using a
diverse portfolio of industry standard software tools for these integrated studies.

ReservoirTeam has deployed the core of a large integrated geoscience team (geologists,
geophysicists, 3D modellers) in support of a multi-field integrated reservoir study for a large
Australian onshore operator. The aim of this study was to optimise gas recovery using state of
the art geoscience technology integrated with input from engineering and drilling completion

A cultural change effort was facilitated by ReservoirTeam implementing aspect of decisions
analysis and value of information assessment for a business unit of a major Australia

ReservoirTeam staff was deployed with a jr. explorer for business development in Central
Asia identifying and evaluating numerous business opportunities in that region.
How to Contact ReservoirTeam

   ReservoirTeam Pty. Ltd.
               PO Box 967
           Mount Barker, SA 5251

        Australia: +61 (08) 72000028
          USA: +1 (720) 8976107

 Dr. Joost Herweijer – mobile +61-(0)403-113610

                     Quantitative Geological Models

Quantitatively oriented geological analysis    •   Use      of    sedimentological      and
forms the basis of reservoir modelling.            stratigraphic information to discern
Data are analysed to gather important              probabilistic (geostatistical) parameters
information and parameters for lateral             regarding dimensions of sand-bodies
extensions of both reservoir and non-              and facies.
reservoir facies, as well as the statistical
distribution of reservoir properties.          •   Petrophysical well log analysis,
                                                   supported by core analysis data and
Development of a quantitative 3D                   coupled with the stratigraphic model
geological model typically entails the             identifies reservoir or flow units along
following steps:                                   with reservoir properties

•   Basin to reservoir scale mapping.          •   Geostatistical analysis of facies
                                                   indicators and reservoir properties
•   Stratigraphic correlation, sequence
    stratigraphy and sedimentological          •   Seismic attribute mapping and
    facies studies.                                assessment of spatial variation of these
                                                   attributes in support of reservoir facies
•   Sedimentological analysis of cores and         and property modelling.
    well log data to identify depositional
    models for mapping the occurrence and      •   Incorporation of available dynamic
    distribution of reservoir facies.              data from engineering
       Reservoir Simulation and Production Forecasting

Quick integration of dynamic data with the
geologic model is crucial in the early phase     •     Decline and material balance analysis
of the simulation process. Work processes              to confirm/compare volumetric trends
are implemented to balance speed of                    and gross permeability/productivity
model updates with basic engineering
QAQC processes to ensure model and data          •     ‘Quick’ Reservoir simulation using
consistency. During early and late stages              streamline models and or coarse
of model development a variety of                      models that exemplify geological or
reservoir engineering techniques and tools             recovery scenarios
are employed to validate multiple reservoir
model scenarios and to provide accurate          •     Extensive full field simulations using
production forecasts and economic                      various    industry    simulators   in
analysis for various development options.              conjunction with the detailed, up-
Specific workflow processes are tailored to            scaled, geologic models.
reservoir environment and data quality,
type and quantity.

The following are examples of possible

                       Probabilistic 3D geologic object model
                           Input for reservoir simulation

             Color            Geology                     Permeability
             yellow:          channel deposits             1,000 md
             green:           crevasse lobe deposits          10 md
               Petrophysics and Formation Evaluation
Petrophysical evaluation of well data is the basis upon which all reservoir models are built.
During early stages of field development, petrophysical interpretation is also a key issue
affecting development planning. ReservoirTeam provides to world-class petrophysical
expertise with a wide geographic experience enabling integration of regional knowledge. This
ensures that the basic input parameters for reservoir models are optimally selected and
appropriately reflect uncertainty.

The following outlines a typical petrophysical workflow:

       An initial review of existing log analysis and available core data will identify the
       preferred evaluation approaches and options for additional data such as logs, tests or
       core analyses.

       In addition to standard well log analysis the actual petrophysical evaluation focuses on
       calibration of all interpretation parameters with routine and special core analysis.

       Based on the above calibration, an integrated evaluation of the formation is produced
       consistent with all well data including mud-logging cuttings and shows, formation
       samples including produced fluids, pressure and production test data.

       Petrophysical uncertainty is defined both from an analytical point of view (bandwidth
       of predicted parameter value), as well as a conceptual point of view (alternative
       petrophysical evaluations)

The outcome is a robust description of geological properties and the distribution of reservoir
fluids at the time a well is drilled, confirmed by core porosity and capillary pressure data. The
incorporation of well test interpretation and state of the art production data analysis also
allows a consistent and reliable permeability interpretation to be input into reservoir models.

       Petrophysically derived permeability predictor used as input to reservoir model
Geostatistics is a key element of modern quantitative methods to describe geo-spatial
information, and plays a very important role across many aspects of reservoir characterization
ranging from conventional mapping (best estimate interpolation) to risk based modeling.

In cooperation with world-leading experts in this field ReservoirTeam has implemented best
practice workflows encapsulating the essence of successful geostatistical projects. This
workflow comprises of the following steps:

        Geostatistical Data Audit and Analysis : no statistical analysis is valid if the data are not
        understood well and screened for removal of anomalies.

        Geospatial analysis to resolve first the obvious (major) spatial trends followed by more
        subbtle trends that are typically diffcult to resolve by other means.

        Geostatistcal estimation to provide an unbiased ‘best estimate’ via 2D and 3D kriging.

        Geostatistical simulation to provide a maximum of algorithmic flexibility to run multiple
        ‘Monte Carlo’ realizations of maps and reservoir models.

ReservoirTeam can provide a wealth of expertise and experience applying this advanced technology
apropriately and pragmatically in the field of mapping, seismic attribute analysis, seismic inversion,
surface reconstruction from different quality seismic surveys, 3D model building etc.

This expertise and experience is available via training courses, best practice catalogs based on the
Common Knowledge system, and direct project-work contributions.

                 Example of a variogram map of seismic acoustic impedance
                              Reservoir Geophysics

Seismic data play a vital role for            Time depth conversion uncertainty
reservoir delineation and description. On     resulting in alternative scenarios for
the     basin    scale    ReservoirTeam       reservoir    framework      (bounding
professionals are skilled in both             surfaces).
structural interpretation and seismic
stratigraphy. On the reservoir scale,         Determination of spatial variability
abundant 3D seismic data are integrated       (variograms) based on the seismic
with sparse well data to develop optimal      data.
3D reservoir models.
                                              Collocated co-kriging to support
A modern and successful approach is           sparse well data (porosity) with
modelling the inter-well space on the         secondary data such as acoustic
basis of the petrophysical well               impedance.
information and various amplitude and
frequency attributes derived from the         Geostatistical inversion to obtain
seismic data. Due to significant              equiprobable acoustic impedance
uncertainty in the relation between the       models from a given seismic data set.
petrophysical parameters and the seismic
attributes, this modelling is often a         Synthetic seismic response to
stochastic procedure. Seismic data            changes of fluid content (for example
acquired at different stages of field         as predicted from a simulation).
development, have also large potential
tracking the response to fluid content        Assessment of the difference of
changes.                                      seismic response in various stages of
                                              field production (4D seismic
The integration of these complementary        monitoring).
data types is a considerable challenge to
the reservoir modelling team. However,
there are potentially enormous rewards.
ReservoirTeam professionals offer solid
expertise grounded in recent research
developments. They have access to some
of the latest processing and interpretation

The following are practical examples of
integration of seismic data into the
reservoir model:
       Knowledge Management – Common Knowledge

Knowledge Management is a key component of successful integrated projects.
ReservoirTeam has implemented the Common Knowledge system to follow workflow
processes. During the actual project proceedings these workflow processes may follow a
relatively complex path, but multiple taxonomy views ensure retention of systematic relations
between workflow components (see figure below). This approach ascertains flexibility for the
project workers, whilst project documentation and project auditing can be conducted in a
systematic manner.

The Common Knowledge system enables

       The creation of a flexible project specific process and workflow trees, using shared
       building blocks, allowing knowledge to easily flow between various projects and
       stakeholders inside and outside a current project.
       Asset teams to use familiar Microsoft office tools for documentation with easy
       uploading of files for sharing or knowledge capture.
       Users to tailor views to enhance work efficiency.
       Management to easily track and extract pertinent information via a detailed or
       summary roll-up of projects in progress. This roll-up includes technical information
       and project tracking information via and interface with standard systems such as MS-
       The protection of knowledge via security tags, ensuring QCQA for documents within
       communities of practise.
       The Common Knowledge system is implemented in two versions, one version
       based on the Microsoft Sharepoint platform and another version based on cost
       efficient open-source solutions.

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