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Clastic Reservoir Characterisation (GEO70)


    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.

    Course Level: Skill
    Duration: 5 days
    Instructor: Evert Uitentuis

    Designed for you, if you are...

    • A geophysicist, geologist, petrophysicist or reservoir engineer involved in exploration, appraisal and development of clastic oil and gas accumulations

    Participants should have a basic knowledge of clastic reservoir geology.

    How we build your confidence

    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.

    The benefits from attending

    By the end of the course you will feel confident in your understanding of:

    • Depositional parameters defining the reservoir architecture
    • The use of tools to predict subsurface reservoir architecture
    • The impact of the heterogeneities on reservoir performance at different scales


    • Framework for reservoir modelling
    • Geological features influencing hydrocarbon recovery
    • Clastic reservoir architecture and geologic controls on porosity and permeability
    • Faults, fractures and fluid flow, compartmentalisation of the reservoir
    • Sealing capacity of faults, shale baffles
    • Core acquisition, analysis and interpretation
    • Principles of upscaling and application of geostatistics
    • Capturing subsurface uncertainties in volume estimates
    • Field development planning - data integration



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