People … … Knowledge and STATEMENT Processes … OF QUALIFICATIONS … and Technology … ReservoirTeam Ltd, PO Box 967 Mt Barker SA 5251 Australia … Adding up to the Bottom Line. +61-(0)403-113610 email@example.com 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 integration • 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 associates. 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 specialists 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 operator. 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. Australia PO Box 967 Mount Barker, SA 5251 Australia Phone Australia: +61 (08) 72000028 USA: +1 (720) 8976107 Dr. Joost Herweijer – mobile +61-(0)403-113610 Email: JCHerw@ReservoirTeam.com 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 approaches: 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 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 tools. 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- Project.. 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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