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Geological characterization & modeling - Integrated workshop

IRCM-EN-P
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Who should attend?

  • This course provides a comprehensive, practical knowledge of reservoir characterization & modeling workflow, via hands-on activities and case studies with the aim of bridging the gap between static geological characterization and reservoir dynamic behavior.
Public :
  • Experienced geoscientists and reservoir engineers involved in multidisciplinary teams, willing to widen their knowledge in reservoir characterization and modeling.

Level :Knowledge

Prerequisite :
  • Experience in geoscience or reservoir engineering, with basic knowledge in reservoir characterization.

Course Content

    WEEK 1: RESERVOIR CHARACTERIZATION TEST

  • INTRODUCTION TO RESERVOIR CHARACTERIZATION

      • Reservoir characterization and modeling objectives.
      • Characterization and modeling workflows.
      • Data types, representativeness and related uncertainty.
      • Challenges of data integration.

  • RESERVOIR ARCHITECTURE

      • Seismic interpretation method and pitfalls. Hands-on: case study.
      • Well log analysis. Hands-on: quick-look analysis.
      • Static and dynamic information integration.

  • FACIES ANALYSIS - ROCK-TYPING

      • Litho-facies analysis (core description and upscaling methods).
      • Introduction to rock-typing: principle of electro-facies and petro-facies analyses.
      • Statistical analysis of sedimentological data (VPC analysis).

  • PETROPHYSICS & ROCK PROPERTIES - RESERVOIR HETEROGENEITIES

      • Petrophysics: principles, reservoir parameters.
      • Petrophysical parameter modeling (water injection simulation).
      • Heterogeneities: identification and inventory.
      • Wrap-up session.
    WEEK 2: RESERVOIR MODELING (workshop on case study)

  • 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.
      • Final wrap up.

Learning Objectives

  • Upon completion of the course, participants will be able to:
  • provide a clear understanding of techniques and challenges related to reservoir modeling (focus on reservoir properties),
  • build required competencies for analyzing datasets and constructing reliable static model,
  • emphasize reservoir modeling main goal: reduce subsurface uncertainties (reduce risk and optimize investments).

Ways & Means

  • Interactive lectures, videos, practical exercises and hands-on activities with the aim of producing a reservoir model using dedicated software for rock-typing (EasyTrace™) and geomodeling (Petrel™).
  • Software used during workshops: with courtesy of Beicip-Franlab and Schlumberger.
To French entities : IFP Training is referenced to DataDock ; you may contact your OPCO about potential funding.
Please contact our disabled persons referent to check the accessibility of this training program : referent.handicap@ifptraining.com