Business context
The main objective of a development team is to identify the type and scale of heterogeneity that is most likely to affect the distribution of non-recovered mobile oil and gas in their subsurface reservoirs. The clastic depositional environment is particularly complex and many factors may cause a lower than expected recovery. Outcrops, cores, borehole images, logs, production test and reservoir level seismic can help provide detailed information about the architecture, fluid flow behaviour and the heterogeneities in a reservoir. This course aims at:
Who should attend
Geophysicists, geologists, petrophysicists and reservoir engineers involved in exploration, appraisal and development of clastic oil and gas accumulations.
Participants should have a basic knowledge of clastic reservoir geology.
Course content
Learning, methods and tools
This course is designed to provide the best possible interaction between lectures and multidisciplinary team related exercises. The focus of the course is on understanding the needs of the different parties involved in reservoir performance prediction. It will be shown how the integration of geophysical, petrophysical and reservoir engineering data is the key to designing realistic static and dynamic reservoir models.
Day by day programme
Day 1
• Framework for reservoir modelling
• Depositional processes and deposits.
• Geological features influencing hydrocarbon recovery.
Day 2
• Clastic Reservoir Architecture, determination from seismic, logs, tests and core data
• Faults, fractures and the influence on fluid flow.
• Fractured Reservoir.
• Sealing capacity of faults;
• Effect of shale baffles on fluid flow.
Day 3
• Core and Log acquisition, analysis and interpretation.
• Assessing Facies and Rock types using Core data, extrapolation to non - cored wells
• Geologic controls on porosity and permeability;
• Estimating, measuring and predicting realistic values for cored and non - cored wells.
Day 4
• Computer modelling of reservoirs
• Converting Geological models to engineering models.
• Principles of up scaling (averaging) of Geological data and the application of Geostatistics.
Day 5
• Capturing subsurface uncertainties in volume estimates.
• Economic Analysis.
• FDP planning and integration of fundamental building blocks (well configuration, positioning, spacing)
Every day several exercises will be included to help participants grasp the concepts and practice using the acquired knowledge.