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Geological Modeling Workshop for Integrated Reservoir Studies

The Objective is the Field – The Software is a Tool

RCM/GEOMODEL
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Who should attend?

  • This course provides participants with an understanding of all data types needed to build a reservoir model (seismic, geological, petrophysical and dynamic) and a clear understanding of the techniques related to reservoir modeling.
Audience :
  • Geologists, geophysicists, petrophysicists, reservoir engineers or petroleum engineers involved in integrated reservoir studies.

Level : Foundation

Course Content

  • BASIC PRINCIPLES - RESERVOIR CHARACTERIZATION WORKFLOW

      • Introduction and objectives.
      • Case study: field presentation.

  • PROJECT ORGANIZATION

      • Project definition.
      • Data QC and summary table.
      • Data management.
      • Well data loading.
      • Manipulating scripts and Excel™ macros.

  • STRUCTURAL MODELING

      • Structural context.
      • Well correlation and stratigraphic data analysis.
      • Constraining static model with dynamic data.
      • Generating surfaces.
      • Picking horizons and faults on seismic.
      • Reservoir layering.
      • Structural modeling.
      • Mapping reservoir structures.
      • Modeling results QC.

  • ROCK-TYPING & PROPERTY MODELING

      • Scaling up logs. Comparison with rock-types.
      • Geostatistical tools.
      • Facies modeling. Rock-typing (EasyTrace™).
      • Petrophysical modeling.
      • Mapping result for QC: gross thickness, N-t-G, reservoir properties.

  • VOLUME CALCULATION

      • Volumetrics: quantification of accumulation for selected parameters.
      • Sensitivity study on parameters.
      • Key parameters determination for risk assessment.

  • SUMMARY, SYNTHESIS & WRAP-UP

Learning Objectives

  • Upon completion of the course, participants will be able to:
  • recognize the techniques and challenges related to reservoir modeling (focus on reservoir properties),
  • build required competencies for reservoir geoscientists to analyze a specific dataset and construct a reliable static model,
  • apply the workflow for building a reservoir model using dedicated software,
  • identify the uncertainties and assess them in order to reduce the risk and optimize the investments.

Ways & Means

  • Interactive presentations and hands-on activities using software dedicated for reservoir modeling (EasyTrace™ and Petrel™).
  • Software used during workshops: with courtesy of Beicip-Franlab and Schlumberger.