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.
Workshop Objectives
Introduce machine learning concepts and applications in upstream/subsurface engineering
Teach Python programming basics for oilfield data processing
Demonstrate data visualization and pattern discovery using Python libraries
Enable equation discovery directly from operational and historical data using symbolic regression
Guide building, training, and testing regression-based predictive models for production parameters
Explain clustering and dimensionality reduction for grouping wells and simplifying analysis
Connect machine learning outputs to engineering reasoning and dashboard integration
About the Presenter
Nashat Jumaah Omar - 12+Years of Experience In Oil & Gas Industry
A 5-Day Free Online Masterclass On Oil & Gas Industry
This training course will provide delegates a full and comprehensive picture of Oil & Gas Industry. Professional from Oil & Gas Industry and other relevant sectors are able to grasp clearly the critical activities at upstream, middle stream and downstream of this Industry. This training course will also offer contemporary methods in Oil & Gas Industry. A structured approach would be taken whereby delegates have opportunities to engage, relate and contextualise meaningfully the fundamentals of the Oil & Gas Industry.