Integrated Reservoir Analysis
This workshop provides participants with a structured approach to integrating geological, geophysical, petrophysical, and engineering data for comprehensive reservoir analysis. Emphasis is placed on practical workflows that improve reservoir characterization, reserves estimation, and performance forecasting, enabling more informed development and management decisions.
Workshop Objectives
By the end of this workshop, participants will be able to:
• Apply integrated methods for accurate reservoir characterization.
• Correlate multidisciplinary data to build coherent reservoir models.
• Evaluate reserves and production potential using industry-proven techniques.
• Strengthen decision-making for field development and reservoir management.
About the Presenter
This workshop is conducted by a seasoned oil and gas professional in reservoir engineering, field development, and asset management. With extensive international experience and a strong technical background, the presenter delivers practical insights that bridge theory with application. Participants benefit from real-world case examples and actionable knowledge designed to enhance professional capability and organizational performance.
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.