Fundamentals of E&P Data Management
A concentrated program on establishing robust data foundations across exploration and production. The course covers governance, architecture, and lifecycle controls for subsurface, well, and operations data, enabling trusted analysis, regulatory readiness, and faster decisions.
Workshop Objectives
About the Presenter
Delivered by a senior E&P data practitioner with experience spanning subsurface, drilling, production, and enterprise IT. Instruction focuses on practical frameworks, benchmarked controls, and tools that improve data reliability and decision quality in complex operating environments.
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.