Seismic Attribute Analysis
This webinar offers geoscientists and E&P professionals a concise overview of seismic attribute analysis, exploring pre- and post-stack attribute calculations, their applications across geological settings, and the role of machine learning in multi-attribute interpretation. It previews our 5-day, 4-hour-per-day training, emphasizing practical techniques for seismic interpretation and reservoir characterization.
Webinar Objectives
Provide participants with foundational knowledge of seismic attribute principles, inspire their application in quantitative interpretation, and introduce the advanced learning opportunities in our upcoming comprehensive training course.
About the Presenter
Andrew Ross has worked in the oil industry and academia as a geophysicist since 1991 most recently for Schlumberger in Denmark.
Ph.D. geophysicist with 15 years industry and academic experience in reflection and refraction seismic interpretation and processing, focussing on quantitative interpretation, inversion, seismic attribute analysis and waveform modelling
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Time : 8 PM Indian Time | Duration : 60 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.