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Applied Python for Oil & Gas
Saturday, March 13 - Sunday 14, 2027
9 PM Indian Time
60 Mins Per Day
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For PEA Members Only
This workshop teaches practical Python programming tailored for the oil and gas industry. Participants will learn to automate workflows, manage large datasets, perform petrophysical and production data analysis, and integrate Python with industry-standard software tools. The course emphasizes real-world applications such as reservoir monitoring, production optimization, and data-driven decision-making.
Workshop Objectives
About the Presenter
Nashat Jumaah Omar - 12+Years of Experience In Oil & Gas Industry
Premium Workshop
For PEA Members Only
Modern Reservoir Characterization : Integrating Artificial Intelligence (AI) with Traditional Methods
During this workshop, participants will develop a more comprehensive grasp of the geophysical theory of seismic inversion and explore advanced seismic reservoir characterization techniques. Discover the essential steps in the seismic reservoir characterization workflow using machine learning, covering data processing to inversion analysis. Acquire valuable knowledge applicable to your everyday projects.In classical reservoir characterization, it is commonly assumed that the reservoir exhibits both elastic and hydraulic isotropy. However, real reservoirs often exhibit anisotropic characteristics and spatial heterogeneity on multiple scales. Relying solely on core and log data may not accurately represent the larger reservoir volume. Therefore, the most effective way to accurately analyze the physical properties of most actual reservoirs, across their entire volume, involves utilizing advanced machine learning methods for acquired and interpreted seismic data.