Reservoir Fluid Behaviour
This workshop provides an in-depth understanding of reservoir fluid behavior and its critical role in exploration, production, and reservoir management. Participants will gain practical insights into fluid properties, phase behavior, and their impact on reservoir performance, enabling more accurate predictions and optimized field development strategies.
Workshop Objectives
Develop a clear understanding of reservoir fluid classifications and properties.
Analyze phase behavior and its implications for production and recovery.
Apply fluid characterization techniques for improved reservoir modeling.
Enhance decision-making in field development through fluid behavior insights.
About the Presenter
The workshop will be delivered by a highly experienced industry professional in petroleum engineering and reservoir management. With years of practical and academic exposure, the presenter brings a strong background in reservoir characterization, production optimization, and advanced training delivery across the oil and gas sector.
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.