Real-Time Reservoir Data Analytics
This workshop focuses on the application of real-time data analytics in reservoir management. Participants will learn how to capture, process, and interpret streaming data to support faster decision-making, optimize production, and enhance operational efficiency in dynamic field conditions.
Workshop Objectives
• Understand the fundamentals of real-time reservoir data acquisition and processing.
• Learn techniques for monitoring and analyzing continuous data streams.
• Explore applications of advanced analytics for production optimization and anomaly detection.
• Apply real-time insights to improve reservoir surveillance and decision-making.
About the Presenter
The workshop will be delivered by an experienced professional in reservoir engineering, digital oilfield solutions, and data analytics. With extensive practical exposure, the presenter provides actionable knowledge to help participants translate real-time data into measurable performance gains.
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.