Integrated Reservoir and Production Analysis

Level: Intermediate

Upcoming Sessions:

To Be Determined
Please Contact Us at tahmed@mtech.edu for more information
Instructors: Dr. Turgay Ertekin

Designed for:

This course is designed for geoscientist, reservoir engineers, and production engineers who are involved in wellbore simulation, reservoir analysis, production analysis, and field optimization.

Course Overview:

Clear understanding of the reservoir is essential to successful field development. Proper management of reservoirs requires an integrated multi-discipline team approach to ensure discovered or producing oil and gas assets are operating at optimal levels. This course offers specialists a change to broaden their knowledge to encompass other disciplines and skills. Participates will understand the high-level objectives of the business and obtain a wide knowledge of available resources which will lead to the selection of the most appropriate solutions.

Course Content:
  • Introduction to Integrated Reservoir and Production Analysis
    • Integrated Analysis
    • Systems Analysis and Thinking
    • Reservoir Analysis Study Paths
    • Construction and Management of an Integrated Database
    • Information Synthesis
  • Components of an Integrated Reservoir and Production Analysis
    • Reservoir Characterization
    • Geology
    • Geophysics
    • Geologic Model
    • Engineering Studies
    • Sources of Geologic and Engineering Data
    • Well Testing
    • Numerical Simulation
    • Reservoir Monitoring and Production Engineering
    • Reservoir Management
    • Geostatistics
    • Environmental Evaluation
  • Basic Reservoir Geology and World’s Hydrocarbon Resources
    • Oil and Gas Resource Terminology
    • Reserves and Resources
    • Occurrence of Petroleum
    • Origin and Evolution of Oil
    • Reservoir Traps
    • Migration and Accumulation of Hydrocarbons
    • Unconventional Oil and Gas
    • Resource Base for Oil and Gas
  • Sources of Reservoir Data and Data Implementation in Reservoir Engineering
    • Integrated Reservoir Model
    • Stages of Field Development
    • Sources of Data
    • Geophysical Data
    • Geological Data
    • Engineering Data
    • Resolution of Data Conflicts
    • Reservoir Engineering
    • Drive Mechanisms
  • Numerical Reservoir Simulation
  • Planning a Reservoir Study
    • Risk Analysis in the Petroleum Industry
    • Risk Engineering - Converting Risk into Opportunity
    • Risk Analysis
    • Decision Analysis Tools
    • Developing a Plan
    • Data Acquisition and Analysis
    • Economic Optimization
    • Elements of Success and Failure in Field Development Plans
    • Management Team
    • Integration of Geosciences and Engineering
    • Reservoir Simulation
    • Market Conditions
    • Business Environment
  • Case Study – Field Development via Artificial Neural Networks
    • Intelligent Systems
    • Artificial Neural Networks
    • Comparison of Hard Computing and Soft Computing
    • Neuro-Simulation Methodology
    • Developing a Plan
    • Example Application - Infill Drilling Planning