Core and Core Analysis
This workshop provides practical insights into core sampling and core analysis techniques, essential for reservoir characterization and formation evaluation. Participants will learn how to acquire, analyze, and interpret core data to support reservoir modeling, production planning, and field development decisions.
Workshop Objectives
Understand core sampling procedures and best practices.
Learn laboratory and field techniques for core analysis.
Interpret core data to evaluate reservoir properties and performance.
Apply insights to support reservoir management and production optimization.
About the Presenter
The presenter is an experienced professional in reservoir engineering and formation evaluation in core analysis and subsurface characterization. Combining technical knowledge with practical applications, the presenter provides participants with actionable insights for accurate reservoir assessment.
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.