Clastic reservoir characterisation

Evert Uitentuis 
Evert van de Graaff 
5 days

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:

  • 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

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

  • Framework for reservoir modelling
  • Geological features influencing hydrocarbon recovery.
  • Clastic Reservoir Architecture and Geologic controls on porosity and permeability.
  • Faults, fractures and fluid flow, compartmentalization of the reservoir
  • Sealing capacity of faults; shale baffles.
  • Core acquisition, analysis and interpretation.
  • Principles of up scaling and application of Geostatistics.
  • Capturing subsurface uncertainties in volume estimates.
  • Field Development Planning - data integration

 

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

  • Course Introduction &  Overview
  • Definition of Framework for reservoir modelling.
  • Depositional processes and deposits.
  • Geological features influencing hydrocarbon recovery.

Day 2

  • Clastic Reservoir Architecture, determination of architecture from seismic, logs, tests and core data.
  • Geologic controls on porosity and permeability.
  • Stratigraphic and structural traps leading to reservoir compartmentalisation.

Day 3

  • Faults, fractures and their influence on fluid flow.
  • Sealing capacity of faults and the effects of shale baffles.
  • Analysis of sealing capacity of faults (e.g. SGR)
  • Analysis of fault direction (Schmidt's net, Wulff's net)

Day 4

  • Core acquisition, analysis and interpretation.
  • Depositional environments, Facies concept, Walther's Law
  • Permeability: What is it? How to measure? How to use? Averaging methods.
  • Converting Geological data into Engineering Models.

Day 5

  • Principles Up scaling and application of Geostatistics.
  • Capturing subsurface uncertainties in volume estimates.
  • FDP Planning and integration of fundamental building blocks (well configuration, spacing etc.)
  • Course review and Round Up.

Every day several exercises will be included to help participants grasp the concepts and practice using the acquired knowledge.