GEO 156
Clastic Reservoir Charaterization
COURSE OVERVIEW
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.
o Framework for reservoir modelling
o Geological features influencing hydrocarbon recovery.
o Clastic Reservoir Architecture and Geologic controls on porosity and permeability.
o Faults, fractures and fluid flow, compartmentalization of the reservoir
o Sealing capacity of faults; shale baffles.
o Core acquisition, analysis and interpretation.
o Principles of up scaling and application of Geostatistics.
o Capturing subsurface uncertainties in volume estimates.
o Field Development Planning – data integration
COURSE SCHEDULE
| Code | Date | Location | price (€) |
|---|---|---|---|
| GEO 156 | 15 - 19 Jun 2026 | Online | 3300 |
| GEO 156 | 14 - 18 Sep 2026 | Amsterdam | 4400 |
COURSE OUTLINE
5 days
Day 1:
o Framework for reservoir modelling
o Depositional processes and deposits.
o Geological features influencing hydrocarbon recovery.
Day 2:
o Clastic Reservoir Architecture, determination from seismic, logs, tests and core data
o Faults, fractures and the influence on fluid flow.
o Fractured Reservoir.
o Sealing capacity of faults;
o Effect of shale baffles on fluid flow.
Day 3:
o Core and Log acquisition, analysis and interpretation.
o Assessing Facies and Rock types using Core data, extrapolation to non - cored wells
o Geologic controls on porosity and permeability;
o Estimating, measuring and predicting realistic values for cored and non - cored wells.
Day 4:
o Computer modelling of reservoirs
o Converting Geological models to engineering models.
o Principles of up scaling (averaging) of Geological data and the application of Geostatistics.
Day 5:
o Capturing subsurface uncertainties in volume estimates.
o Economic Analysis.
o FDP planning and integration of fundamental building blocks (well configuration, positioning, spacing)
INSTRUCTOR
Instructors Profile
This course has 2 instructors:
The first instructor graduated in Geology from Imperial College London in 1985 and began his career in mining in South Africa before completing an MSc (Distinction) and PhD in Sedimentology in the UK. He worked with Shell International in production and exploration roles across the North Sea, Sakhalin, Nigeria, Libya, Iran, and Canada. Since 2016, he has run his own geological consultancy and training company, delivering field trips, workshops, and courses worldwide. He also works as a consulting palaeontologist and undertakes geological research and core logging projects.
The second instructor has nearly 40 years of global experience in the petroleum industry, working across Europe, Australia, Asia, Africa, and the Middle East with companies including Shell and Woodside, as well as in academia. He has served as a production geologist, explorationist, sedimentologist, and technical coach, training over 500 professionals and students worldwide. Since then, he has delivered highly applied, multidisciplinary training courses, field trips, and workshops designed to support practical field development and technical assurance.
FAQ
DESIGNED FOR
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 LEVEL
o Intermediate
LEARNING OBJECTIVES
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.
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Ph.D. students, group and early bird registrants are eligible to DISCOUNT!
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