AI & ML Applications in Reservoir Engineering

This workshop examines how artificial intelligence and machine learning are reshaping reservoir engineering by enhancing prediction accuracy, streamlining workflows, and enabling data-driven decision-making. Participants will explore practical applications that improve reservoir modeling, production forecasting, and operational efficiency.
Workshop Objectives
• Understand the role of AI and ML in modern reservoir engineering.
• Learn techniques for applying predictive models to reservoir performance.
• Explore case-based applications in production optimization and risk reduction.
• Identify best practices for integrating AI/ML into reservoir workflows.
About the Presenter
The workshop will be conducted by an experienced professional with expertise in reservoir engineering, digital transformation, and data analytics. Combining technical depth with applied industry knowledge, the presenter offers practical guidance on leveraging AI and ML to drive efficiency and value in oil and gas operations.
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.