Naturally Fractured Reservoirs
This workshop provides an in-depth understanding of the characterization, evaluation, and management of naturally fractured reservoirs. Participants will explore fracture systems, their impact on reservoir behaviour, and strategies for maximizing hydrocarbon recovery in complex fractured settings.
Workshop Objectives
• Understand the nature and classification of naturally fractured reservoirs.
• Apply methods for fracture characterization and modeling.
• Assess the impact of fractures on fluid flow and reservoir performance.
• Evaluate production challenges and recovery strategies.
• Integrate geological, geophysical, and engineering data for reservoir management.
About the Presenter
The workshop is led by an experienced reservoir with a strong background in fractured reservoir analysis and field development. Combining technical with practical case knowledge, the presenter delivers actionable insights and best practices to support effective reservoir evaluation and 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.