About the Course
This course by PL Energy Training aims to familiarize reservoir and petroleum engineers with practical optimization algorithms and their applications in addressing optimization challenges in oil and gas reservoir development. The course covers an overview of production optimization issues within the oil and gas sector, followed by a detailed presentation of commonly used gradient-based and stochastic optimization algorithms for field development optimization. The course also emphasizes integrating reservoir simulation models with optimization techniques to achieve automated and assisted field development optimization. It includes case studies on well flow rate control optimization and well placement strategies.
Who Should Attend?
Professionals include reservoir engineers, production engineers, petrophysicists, geophysicists, geologists, and asset managers.
Key Learning Objectives:
Introduction to reservoir modeling and inverse theory
Understanding optimization algorithms for solving oil and gas reservoir development optimization problems
Integrating production optimization with reservoir simulation models for automated field development optimization
Applying optimization techniques and reservoir simulation tools to plan and optimize field development
Course Outline:
Overview of integrated geological modeling
Evaluation of petrophysical properties
Numerical reservoir simulation techniques
Reservoir characterization, history matching, and forecasting
Single and multi-objective optimization functions
Numerical optimization methods for oil and gas reservoirs
Applications of single and multi-objective optimization in petroleum fields
Techniques for uncertainty estimation
Field development optimization strategies
Performance design and operations of Advanced Lift Systems (ALS)
ALS production optimization and operations management
Practical case studies and hands-on exercises