Oil & Gas Data Analytics, Visualization & Management
This workshop focuses on advanced data analytics, visualization, and management techniques for oil and gas datasets. Participants will gain hands-on experience with tools and methods to analyze large volumes of operational and reservoir data, create insightful visual dashboards, and manage data efficiently to support informed decision-making in exploration and production.
Workshop Objectives
To develop participants’ capabilities in analyzing and visualizing complex oil and gas data, improving data management practices, and enabling data-driven decisions that optimize operational performance and resource management.
About the Presenter
Nashat Jumaah Omar - 12+Years of Experience In Oil & Gas Industry
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.