Reservoir Characterization
This workshop focuses on the principles and techniques of reservoir characterization, integrating geological, geophysical, and petrophysical data to build reliable reservoir models. Participants will gain insights into how characterization supports reservoir evaluation, production forecasting, and field development planning.
Workshop Objectives
• Understand the fundamentals of reservoir characterization.
• Integrate core, log, seismic, and production data for reservoir evaluation.
• Build and interpret reservoir models to assess heterogeneity and performance.
• Apply reservoir characterization in forecasting and development planning.
About the Presenter
The presenter is a petroleum industry professional in reservoir evaluation, geological modeling, and field development. With significant practical experience and a strong background in technical training, the presenter emphasizes the application of multidisciplinary data for effective reservoir management.
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.