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