Reservoir Management & Surveillance
This workshop covers strategies and techniques for effective reservoir management and surveillance. Participants will learn to monitor reservoir performance, optimize production, and implement data-driven interventions to maximize recovery and field efficiency.
Workshop Objectives
• Understand key principles of reservoir management and surveillance.
• Monitor and evaluate reservoir and well performance using data analysis.
• Identify opportunities for production optimization and enhanced recovery.
• Apply practical approaches to support decision-making and field development strategies.
About the Presenter
The presenter is an experienced petroleum engineering professional in reservoir monitoring, production optimization, and field development. With extensive industry and training experience, the presenter provides practical insights that link surveillance data to effective reservoir management decisions.
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.