Advanced Well, Reservoir and Facilities Management (WRFM)
A focused, practice-led program on integrating subsurface, wells, and facilities to lift production, improve recovery, and protect asset value. Participants use real field cases to diagnose constraints, rank opportunities, and implement closed-loop optimization aligned with company standards.
Workshop Objectives
• Build an integrated WRFM workflow linking reservoir, wellbore, and surface network models
• Diagnose production losses using nodal analysis, loss accounting, and structured root-cause methods
• Prioritize surveillance, workovers, artificial lift, and debottlenecking by risk, value, and execution readiness
• Optimize networks and facilities for pressure, capacity, flow assurance, and energy performance with KPIs for sustainment
About the Presenter
Delivered by a senior oil and gas practitioner with cross-disciplinary experience in reservoir engineering, production technology, and facilities optimization. Instruction emphasizes proven WRFM practices, decision-quality analysis, and practical tools that enable teams to progress from diagnosis to sustained performance improvement.
Applied Machine Learning for Upstream and Subsurface Domains
This two-day hands-on workshop is designed for petroleum and subsurface professionals seeking practical skills in machine learning for upstream oil & gas operations. The program teaches participants how to apply machine learning to uncover patterns in production and reservoir data, discover equations from historical relationships, and build predictive models for vital engineering parameters. Real-world datasets from drilling and subsurface domains are used, focusing on automating reports, visualizing data, and interpreting model outputs for improved decision-making.