Mature Field Development and Management
A focused, practice-led program on extracting more value from brownfield assets. Participants apply disciplined surveillance, opportunity framing, and targeted interventions to sustain production, improve recovery, and manage integrity with clear economics and risk controls.
Workshop Objectives
• Build an integrated rejuvenation plan covering reservoir surveillance, wells, lift systems, and facilities debottlenecking
• Diagnose losses using decline analysis, material balance, and loss accounting to rank opportunities with defensible value
• Plan and execute workovers, conformance control, waterflood optimization, and EOR screening with clear KPIs
• Establish governance for integrity, deferment management, and phased capital with audit-ready assumptions
About the Presenter
Delivered by a senior upstream practitioner with experience in brownfield optimization across subsurface, well interventions, and surface facilities. Instruction emphasizes proven methods, transparent calculations, and tools that enable repeatable results in complex, high-constraint environments.
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.