About the Course
PL Energy Training's Field Development Planning (FDP) course delves into the fundamental principles of reservoir modeling and probabilistic techniques for risk assessment and uncertainty quantification, focusing on their application in reservoir characterization, development, and management. The curriculum covers integrating production and performance data into reservoir models while accounting for their associated errors and uncertainties. Topics include history-matching problem formulation, deterministic and probabilistic history-matching methods, risk and decision analysis techniques, and approaches for regularizing and parameterizing reservoir models. The course offers practical insights through case studies on risk and uncertainty management in field development planning.
Who Should Attend?
This course is tailored for reservoir engineers, petrophysicists, geophysicists, geologists, asset managers, and senior managers.
Key Learning Objectives:
Grasping the foundations of field development planning
Learning modern petroleum risk and uncertainty management techniques
Systematically assessing relevant risks and uncertainties in FDP
Developing a probabilistic mindset
Understanding the value of additional information
Implementing consistent risk and uncertainty management policies
Valuing portfolio analysis in FDP
Establishing decision-making guidelines in FDP
Evaluating the organization's position relative to strategic plans
Promoting communication and teamwork in decision-making processes
Course Outline
Overview of field development processes and decisions
Concepts of field development planning and optimization
Integrated reservoir characterization and modeling for FDP
Sources of uncertainties in reservoir performance simulation
Fundamentals of probabilistic modeling for risk assessment
Formulation and quantification of history-matching uncertainties
Models for decision analysis and options evaluation
Models for risk management
Managing uncertainty in field development
Decision Scenario Optimization (DSO)
Case studies illustrating concepts