Applied Biostratigraphy: How to Characterize Source Rocks With Palynology
This webinar will explore how palynological data - one of the most used biostratigraphic disciplines - can be applied to characterize hydrocarbon source rocks. Different types of organic particles will be oil or gas-prone or inert and their identification and quantification are key to characterize source rocks, beyond simple geochemical analyses.
Webinar Objectives
You will learn to recognize different organic particle types and their potential as sources of fluids (oil or gas). The ways to quantify and define kerogen types will be addressed and how that relates to geochemical results. We will explore how the thermal maturation of rocks influences hydrocarbon generation.
About the Presenter
The presenter is an experienced industry professional in petroleum geoscience and applied stratigraphy. With a strong background in exploration workflows and data integration, the presenter has contributed to numerous projects aimed at optimizing hydrocarbon resource evaluation and supporting strategic field development.
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Time : 9.30 PM IST | 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.