Reservoir Monitoring and Surveillance
This workshop focuses on practical approaches to reservoir monitoring and surveillance, highlighting the tools and techniques that provide timely insights into reservoir behaviour. Participants will learn how to interpret data, track performance, and apply surveillance strategies to optimize production and recovery.
Workshop Objectives
• Understand key principles and objectives of reservoir monitoring.
• Learn techniques for data acquisition, interpretation, and integration.
• Explore methods to identify production anomalies and performance trends.
• Apply surveillance practices to support informed reservoir management decisions.
About the Presenter
The workshop will be conducted by an experienced professional in reservoir engineering and production optimization. With extensive exposure to monitoring technologies and field applications, the presenter brings practical insights to help participants translate data into actionable strategies for improved reservoir performance.
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.