Virtual Classroom

Introduction to Reservoir Characterization - Remote training

INFORCM-EN-D

Who should attend?

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

Level :Awareness

Prerequisite :
  • No pre-requisistes are necessary to follow this course.

Course Content

  • INTRODUCTION TO RESERVOIR CHARACTERIZATION - Duration : 1 Day

      • Reservoir characterization and modeling objectives.
      • Characterization and modeling workflows.
      • Data types, representativeness and related uncertainty.
      • Challenges of data integration.
  • RESERVOIR ARCHITECTURE - Duration : 1.5 Days

      • 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 - Duration : 1.5 Days

      • 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 - Duration : 1 Day

      • Petrophysics: principles, reservoir parameters.
      • Heterogeneities: identification and inventory.
      • Wrap-up session.

Learning Objectives

  • Attendees will be able to implement the following skills:
  • 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.

Ways & Means

  • Interactive presentations, practical exercises and hands-on activities.

Learning assessment

  • Knowledge assessment with multiple-choice questions.

More

Coordinator :IFP Training instructors, with expertise in the field and trained in modern teaching methods adapted to the specific needs of learners from the professional world.

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