Digital Twin for Oil and Gas Operations
This webinar explores how digital twin technology is transforming oil and gas operations by creating real-time virtual models of assets, processes, and systems. Participants will learn how digital twins improve operational visibility, enhance predictive maintenance, and support safer, data-driven decision-making across the value chain.
Webinar Objectives
• Define digital twin concepts and their role in oil and gas operations.
• Examine applications in production optimization, asset integrity, and field development.
• Highlight benefits in risk reduction, cost efficiency, and operational reliability.
• Discuss challenges in deployment, data integration, and change management.
About the Presenter
The session is led by an extensive experience in digital transformation and oilfield operations. The presenter bridges technology with practical industry applications, helping participants understand how digital twins can be implemented for measurable business impact.
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Time : 9 PM Indian Time | Duration : 90 Minutes
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.