Course Description

This course designed to understanding the fundamental theory and practice of reservoir description and modeling for reservoir management. Participants will learn the fundamental concepts of reservoir description and modeling using geostatistical techniques. This course emphasizes the principles and practice of integrated studies and uncertainty analysis

Course Objectives

·         learn how to apply reservoir description and modeling to support reservoir management

·         Recognize the limitations and opportunities of reservoir modeling.

·         Learning the Kriging techniques

·         Understanding the  statistics and probability 

Who Should Attend?

·         Petroleum engineers

·         Geologists and geoscientists who want to apply reservoir description 

·         Modeling techniques for reservoir management

·         Managers and supervisors who wish to update their skills to the current level of the technology

Program Schedule

DAY 1

·         Course Objectives

·         Fundamentals of reservoir modeling 

·         Basic statistical principles 

·         probability principles 

DAY 2

·         Data analysis

·         Quality control 

·         Preparation 

·         Variogram modeling 

DAY 3

·         Kriging techniques 

·         Stochastic simulation and 

·         Modeling case studies 

·         Overview of uncertainty analysis 

DAY 4

·         Overview of integrated studies

·         Spatial modeling

·         Structural modeling

·         Estimation of properties at well locations

DAY 5

·         Conditional simulation

·         Facies/rock type modeling

·         Petrophysical properties simulation

·         Ranking of realizations

·         Construction of simulator input model

·         Future predictions and quantification of uncertainty