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.

About the Presenter

The workshop is conducted by a professional with experience in reservoir engineering, simulation, and advanced modeling. The presenter has a proven background in applying AI and digital technologies to enhance field development and production performance across various reservoir environments.

Register Now

By registering for this webcast, you are sharing your registration information with PEA and acknowledged that you have read and agreed to the Privacy Policy and Terms and Conditions. By submitting your personal information, you are agreeing that PEA may contact you via the details provided.

View More