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Bridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
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Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableUpstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
The digital learning ecosystem Digitally and seamlessly connecting you, the learner, with pertinent learning objects and related technologies ensuring systematic, engaging and continued learning.
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Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableUpstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
Develop measurable skills and capabilities
The purpose of this course is to acquaint petroleum geologists and engineers with techniques used to characterize hydrocarbon reservoirs, with specific focus on the construction of static and dynamic reservoir models. The overall objectives will be to improve production rates, ultimate recovery, and field economics by identifying potential for infill drilling, recognizing bypassed hydrocarbons, and increasing recovery efficiency.
Participants will learn about the data required and the processes that should be followed when conducting an integrated reservoir study. The goal of this will be to optimize the reservoir depletion, and plan or institute enhanced recovery operations. Instructors will outline and describe the procedures for integrated reservoir evaluation, and use case histories and exercises to illustrate the key points.
Introduction
After a brief introduction to set the overall course objectives, participants will learn why 3D static modeling is important, reservoir characterization workflow, heterogeneity. Elements of structural framework modeling, such as Plate tectonics, forces and stresses, major structural components for hydrocarbon trapping like folding, faulting and fracturing will be covered. Elements of the stratigraphic framework, such as terminology, well log correlation, mapping and contouring, cross-sections and scaling, will also be covered.
Day 2Facies Modeling
The day will cover the principal components of reservoir facies modeling, as replated to depositional and pore systems. Facies definition and types, reservoir flow units, clastic and carbonate sedimentary environments will be discussed under depositional systems. Pore system components, clastic and carbonate rock classifications, influence of clays, diagenesis and geologic factors affecting reservoir quality will be discussed under pore systems. The day will conclude with the petrophysical aspects of property modeling, such as quantification of hydrocarbons, study steps, acquisition of borehole data (wireline, mudlogging, core), basic measurements, log interpretation and petrophysical data integration.
Day 3(morning) Property Modeling
On the morning of day 3 participants will learn the geophysical aspects of property modeling, such as seismic principles, land and marine acquisition, borehole seismic (VSP), interpretation and prediction of reservoir properties, seismic attributes, log to seismic tie and time lapse seismic. The final morning session will conclude with the Geoscience portion of the course, and will focus on the practical aspects of building the static model, such as structural and stratigraphic framework, property modeling, deterministic and stochastic approaches for property distribution (with a special section on geostatistics), risk and uncertainty, and upscaling for the dynamic model.
(afternoon) Introduction to Dynamic Modeling
Afternoon of day 3 will cover key concepts such as PVT, capillary pressure, and fluid distribution. The day will conclude with discussion on reservoir drive mechanisms.
Day 4Dynamic Reservoir Model
The fourth day will begin defining upscaling, need for upscaling and upscaling methods. Event histories, initializing pressure, and production data will also be covered. The day will end with participants learning how to build the dynamic reservoir model.
Day 5Performance Forecasting and Economic Modeling
On the last day of this course, participants will learn about dynamic model calibration and history matching, how to forecast reservoir performance. Participants will also learn about the transition from history to forecast sensitivity analysis. The last part of the day will include the key concepts of optimizing reservoir development. and a plan for reservoir development.
Geoscientists and petroleum engineers responsible for conducting comprehensive reservoir studies.
Petroleum engineering or geoscience background with experience in reservoir studies.
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