AI-Driven Reservoir Optimization for Oil & Gas Efficiency
This workshop explores how artificial intelligence is transforming reservoir optimization by enabling smarter, faster, and more accurate decision-making. Participants will gain insights into applying AI and machine learning to enhance production forecasting, streamline surveillance, and improve overall reservoir performance.
Workshop Objectives
• Understand the role of AI and machine learning in reservoir engineering.
• Learn how to apply predictive models for production and recovery optimization.
• Explore data-driven approaches to streamline surveillance and reduce uncertainties.
• Examine best practices for integrating AI tools into oil and gas operations.
About the Presenter
The workshop will be conducted by an experienced professional in reservoir engineering, digital technologies, and AI applications. Combining technical knowledge with field experience, the presenter delivers practical guidance to help participants harness AI for improved efficiency and sustainable reservoir management.
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.