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2 - OGE - Oil & Gas


OGE 106 - Geostatistics and Reservoirs Modeling

Code Start Date Duration Venue Fees
OGE 106 17 November 2018 5 Days Istanbul $ 3950 Registration Form Link
OGE 106 15 December 2018 5 Days Istanbul $ 3950 Registration Form Link
OGE 106 09 February 2019 5 Days Istanbul $ 3950 Registration Form Link
OGE 106 06 April 2019 5 Days Istanbul $ 3950 Registration Form Link
OGE 106 08 June 2019 5 Days Istanbul $ 3950 Registration Form Link
OGE 106 27 July 2019 5 Days Istanbul $ 3950 Registration Form Link
OGE 106 21 September 2019 5 Days Istanbul $ 3950 Registration Form Link
OGE 106 16 November 2019 5 Days Istanbul $ 3950 Registration Form Link
OGE 106 14 December 2019 5 Days Istanbul $ 3950 Registration Form Link
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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

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 
  • 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