Financial Modeling and Decision Making in Oil and Gas
Sound financial modeling is essential for guiding investment decisions, evaluating risks, and optimizing project economics in the oil and gas industry. This session provides an overview of financial modeling techniques and their application to decision making, with emphasis on project valuation, risk analysis, and capital allocation strategies.
Webinar Objectives
• Understand the fundamentals of financial models used in oil and gas projects.
• Explore methods for project valuation, including NPV, IRR, and sensitivity analysis.
• Review approaches for assessing uncertainty and managing financial risk.
• Examine practical examples of financial decision-making in upstream, midstream, and downstream projects.
About the Presenter
The session will be delivered by an experienced industry professional in energy economics, project finance, and strategic decision-making. Combining financial acumen with practical sector knowledge, the presenter offers insights into applying financial models to support sound, data-driven investment decisions.
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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.