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 with expertise 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.
Introduction to AI in Oil & Gas: Opportunities and Challenges
A 2-day workshop designed for reservoir engineers, geoscientists, data analysts, and managers in Exploration & Production (E&P). Learn AI's transformative role in the upstream lifecycle through case studies, hands-on Python/ML demos, and interactive discussions on adoption strategies.