Course Scope

This course provides participants with an understanding of data types needed for reservoir modelling (geological, seismic, petrophysical and dynamic) and the workflow involved in reservoir modelling.


 

LEARNING OBJECTIVES

Upon completion of the course, participants are expected to be able:

  1. To understand the workflow, challenges and techniques required for reservoir modelling with emphasis on reservoir properties
  2. To develop the requisite skills for reservoir geoscientists to analyze specific dataset, establish its usefulness and build a realistic static model

COURSE CONTENT

  INTRODUCTION TO RESERVOIR CHARACTERIZATION (1 DAY)

Reservoir characterization and modelling essentials.

Characterization and modelling workflows.

Types of data, sampling and uncertainty.

Challenges of data integration.

 RESERVOIR ARCHITECTURE AND GEOMETRY (2 DAYS)

Seismic interpretation methods with hands-on case study.

Well log analysis with hands-on and quick look interpretation.

Integration of static and dynamic information to generate realistic models.

 FACIES ANALYSIS AND ROCK TYPING (1 DAY)

Lithofacies analysis (siliciclastics and carbonates, core description and upscaling methods)

Introduction to rock typing.

Facies classification and characterization.

 PETROPHYSICS AND RESERVOIR HETEROGENEITIES (1 DAY)

Petrophysical principles and reservoir parameters.

Heterogeneities identification and reservoir continuity.

Petrophysical data from cores vs. wireline logs.

Prediction of petrophysical data using statistics and artificial neural networks.