Integrated Reservoir Characterization
This workshop provides a comprehensive approach to integrated reservoir characterization, combining geological, geophysical, petrophysical, and engineering data to build robust reservoir models. Participants will learn how multidisciplinary integration enhances reservoir understanding, supports development planning, and reduces uncertainty in decision-making.
Workshop Objectives
• Understand the principles of integrated reservoir characterization.
• Learn methods for integrating geological, geophysical, and petrophysical data.
• Apply multidisciplinary workflows to improve reservoir models.
• Explore strategies to reduce uncertainty and support field development planning.
About the Presenter
The workshop is conducted by a reservoir professional with extensive experience in multidisciplinary integration, reservoir modeling, and field development. The presenter combines technical expertise with practical insight, enabling participants to translate integrated data into actionable reservoir knowledge.
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.