Geostatistics
This session provides an overview of geostatistics and its application in petroleum exploration and reservoir characterization. Participants will learn how statistical methods are used to model spatial variability, integrate diverse datasets, and reduce uncertainty in subsurface evaluations.
Webinar Objectives
• Understand the principles of geostatistics and spatial data analysis.
• Review key techniques such as variogram analysis, kriging, and simulation methods.
• Examine applications in reservoir characterization, resource estimation, and risk assessment.
• Explore how geostatistical models support informed decision-making in exploration and production.
About the Presenter
The presenter is an experienced geoscience professional with a strong background in geostatistics and reservoir modelling. Their work spans both technical applications and practical field integration, offering insights into how statistical methods enhance subsurface understanding and project outcomes.
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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.