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.
Webinar Objectives
Review of the Diffusivity equation
Solutions to the Diffusivity equation
Dimensionless parameters
Type curves creation using python code
About the Presenter
Francisco J. Rivas Segura is a Petroleum Engineer based in Perth, Western Australia, specializing in production systems optimization, field operations, and water treatment processes. With hands-on experience managing water treatment plants, BIM modeling for industrial systems, and internships at Enap Sipetrol S.A., he brings practical insights from Ecuador's oil & gas sector to sustainable energy operations.
Francisco excels in Python, Power BI, and hydraulic simulation tools for performance analysis, as demonstrated in his recent LinkedIn post on generating Gringarten type curves for PTA. A graduate of Escuela Superior Politécnica del Litoral (ESPOL), he previously taught Calculus and Statistics, combining technical expertise with strong communication skills
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Time : 4 PM Indian Time | Duration : 60 Minutes
Managed Pressure Drilling and Cementing and Digital Solution on Real Time Data
This webinar explores the integration of Managed Pressure Drilling (MPD) and cementing technologies with advanced digital solutions for real-time data monitoring and analysis. Participants will gain an understanding of how digitalization enhances well control, operational efficiency, and decision-making in complex drilling environments. The session highlights practical applications, data-driven insights, and best practices for improving drilling safety and performance.