About the Course
The PL Energy Training course on Advanced Integrated Asset Modeling & Optimization offers in-depth discussions and hands-on training for constructing Integrated Asset Models (IAMs) to optimize production, identify bottlenecks, and enhance recovery from oil and gas fields. The training covers fundamental and advanced knowledge of IAM components, emphasizing coupling subsurface and surface models for various scenarios. Participants learn the power of IAM as a reservoir management tool through case studies. The course guides participants in integrating different models using commercial software applications and evaluating, analyzing, and optimizing oil and gas field/well production systems across different life stages. The course also explores frameworks for generating production optimization scenarios and IAM operational models.
Who Should Attend?
Petroleum production, facility, and project engineers; asset managers; reservoir managers; facility managers; project managers from oil and gas regulatory authorities; joint venture oil and gas operators; joint venture non-operators; and others.
Key Learning Objectives:
Grasping the benefits of subsurface-surface model integration
Understanding IAM operation models, objectives, uses, and applications
Learning to model reservoir deliverability interactions with wellbore completions
Exploring the advantages of Digital Oil Fields over the IAM process
Developing workflows for comprehensive performance evaluation and optimization
Course Outline:
Overview of Integrated Asset Modeling (IAM)
IAM objectives, benefits, and deliverables
Integrating subsurface and surface models for diagnosis, design, forecasting, and optimization
IAM operational models (Maintenance, Asset Integrity, Surveillance, Planning)
IAM integration with Field Development Plans
IAM General Workflow
Utilizing IAM for risk analysis, production optimization, and decision-making
Case studies from national and international oil companies
Integrated Production Modeling and Optimization
Constraints management, optimal set points, data validation, history matching, and forecasting
Economics in oil and gas projects
Intelligent, good system design and optimization
Real-time reservoir management and intelligent, well completions