AI-based Full Field Reservoir Simulation and Modeling
This webinar introduces how Artificial Intelligence is transforming full field reservoir simulation and modeling. Participants will explore practical applications of AI in improving accuracy, speeding up simulations, and supporting better field development decisions. The session is designed to provide clear insights into how AI can enhance traditional reservoir engineering practices.
Webinar Objectives
Understand the role of AI in reservoir simulation and modeling
Learn how AI improves efficiency and accuracy in field studies
Explore real-world applications of AI in reservoir management
About the Presenter
PEA Expert
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Time : 9 PM Indian Time | Duration : 60 mins
Python for PTA: Type curves creation
This webinar equips petroleum engineers with practical Python skills to generate Gringarten type curves for Pressure Transient Analysis (PTA), transforming theoretical reservoir concepts into actionable code. Participants will review the diffusivity equation, explore its analytical solutions, master dimensionless parameters, and implement Python scripts for log-log type curve plotting—essential for estimating permeability, skin factor, and reservoir boundaries from well test data.Ideal for reservoir and production engineers seeking data-driven PTA workflows, the session leverages NumPy, Matplotlib, and hydraulic modeling principles to analyze performance data efficiently. Attendees leave with reusable code templates and real-world applications from field operations.