Training Geostatistics and Reservoirs Modeling

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

  • Learning how to apply reservoir description and modeling to support reservoir management
  • Recognizing the limitations and opportunities of reservoir modeling.
  • Learning the Kriging techniques
  • Understanding the  statistics and probability 

Who Should Attend?

  • Petroleum/ Geophysicists/ Geologists/Reservoir engineers
  • Technical/ reservoir engineers
  • Processing engineers
  • Commercial analysts
  • Decision makers/ investors in oil and gas sector

Course Details/Schedule

  • Course Objectives
  • Fundamentals of Reservoir Modeling 
  • Basic Statistical Principles 
  • Probability Principles 
  • Data Analysis
  • Quality Control 
  • Preparation 
  • Variogram Modeling 
  • Kriging Techniques 
  • Stochastic Simulation 
  • Modeling Case Studies 
  • Overview of Uncertainty Analysis 
  • Overview of Integrated Studies
  • Spatial Modeling
  • Structural Modeling
  • Estimation of Properties at Well Locations
  • Conditional Simulation
  • Facies/Rock Type Modeling
  • Petrophysical Properties Simulation
  • Ranking of Realizations
  • Construction of Simulator Input Model
  • Future Predictions and Quantification of Uncertainty