AI-based Full Field Reservoir Simulation and Modeling
This workshop focuses on applying artificial intelligence in full-field reservoir simulation to enhance prediction accuracy, optimize recovery strategies, and streamline reservoir management. Participants will learn how AI-driven modeling techniques complement conventional simulation workflows for faster decision-making and improved reservoir performance evaluation.
Workshop Objectives
• Understand the role of AI in modern reservoir simulation and modeling.
• Learn how to integrate AI algorithms with conventional simulation tools.
• Review real-field case studies demonstrating improved forecasting and optimization.
• Explore data-driven approaches for reservoir characterization and performance prediction.
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.