Big Data for Reservoir Surveillance
This workshop examines how big data technologies are reshaping reservoir surveillance, enabling faster insights and more accurate decision-making. Participants will learn how to leverage data integration, analytics, and visualization tools to monitor reservoir performance and optimize field development strategies.
Workshop Objectives
• Understand the role of big data in modern reservoir surveillance.
• Learn methods for integrating and analyzing large, diverse datasets.
• Explore applications of predictive analytics and real-time monitoring.
• Apply data-driven insights to enhance production and reservoir management.
About the Presenter
The workshop will be delivered by an experienced professional in reservoir engineering, data analytics, and digital oilfield solutions. Combining technical knowledge with practical field experience, the presenter shares actionable strategies to help participants unlock value from data in reservoir surveillance.
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.