Clastic Reservoir Characterisation
Consultant/Trainer: Jon Noad/David Alsop
Petrogenium’s (in collaboration with EPTS) Clastic Reservoir Characterization course will guide the participants with respect to identification of 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.
Participants
This Petrogenium course is aimed at 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.
Learning Objectives
The clastic depositional environment is particularly complex and many factors may cause a
lower than expected recovery. This course aims at:
- understanding of the depositional parameters defining the reservoir architecture,
- the use of tools to predict subsurface reservoir architecture and
- the impact of the heterogeneities on reservoir performance at different scales
Day 1
Framework for reservoir modelling
- Framework for reservoir modelling
- Depositional processes and deposits.
- Geological features influencing hydrocarbon recovery.
Day 2
Clastic Reservoir Architecture and Geologic controls on porosity and permeability.
- 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 acquisition, analysis and interpretation.
- 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
Core acquisition, analysis and interpretation.
- 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.
- Capturing subsurface uncertainties in volume estimates.
- Economic Analysis.
- FDP planning and integration of fundamental building blocks (well configuration, positioning, spacing)
Programme
Day 1
Framework for reservoir modelling
- Framework for reservoir modelling
- Depositional processes and deposits.
- Geological features influencing hydrocarbon recovery.
Day 2
Clastic Reservoir Architecture and Geologic controls on porosity and permeability.
- 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 acquisition, analysis and interpretation.
- 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
Core acquisition, analysis and interpretation.
- 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.
- Capturing subsurface uncertainties in volume estimates.
- Economic Analysis.
- FDP planning and integration of fundamental building blocks (well configuration, positioning, spacing)