Uncertainty in Petrophysics
This webinar explores the impact of uncertainty in petrophysical evaluation and its influence on reservoir characterization and decision-making. Participants will learn how to identify, quantify, and manage uncertainties arising from data quality, interpretation methods, and model assumptions. The session emphasizes practical approaches to improve confidence in reservoir estimates and reduce risks in development planning.
Webinar Objectives
• Understand key sources of uncertainty in petrophysical analysis.
• Learn methods to quantify and manage data and interpretation variability.
• Explore techniques for probabilistic evaluation and sensitivity analysis.
• Apply uncertainty assessment to enhance reservoir characterization and decision-making.
About the Presenter
The session is conducted by an experienced industry professional with a background in petrophysics and reservoir evaluation. The presenter combines technical understanding with practical experience to provide clear, actionable insights for professionals seeking to strengthen the reliability and confidence of their petrophysical interpretations.
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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.