Carbonate Reservoirs
This workshop provides focused insights into carbonate reservoirs, covering their unique properties, challenges, and development strategies. Participants will learn methods for reservoir characterization, performance evaluation, and optimized field management.
Workshop Objectives
Understand the key characteristics and heterogeneities of carbonate reservoirs.
Learn techniques for reservoir evaluation and performance analysis.
Apply strategies for development planning and production optimization.
Integrate best practices to enhance reservoir management decisions.
About the Presenter
The presenter is an experienced professional in reservoir engineering, with carbonate reservoir characterization and management. Combining technical knowledge with practical industry experience, the presenter equips participants with actionable insights for effective reservoir development.
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.