Python for Petroleum Data Analytics
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For PEA Members Only
This workshop introduces the application of Python in petroleum data analytics, focusing on practical techniques for handling, analyzing, and visualizing complex datasets common in oil and gas operations. Participants will gain hands-on experience with tools that support faster decision-making, improved forecasting, and enhanced operational efficiency.
Workshop Objectives
• Apply Python libraries for data cleaning, analysis, and visualization in petroleum contexts.
• Develop workflows for interpreting production, reservoir, and operational datasets.
• Strengthen predictive analysis and modeling skills to support technical and business decisions.
• Enhance data-driven approaches for efficiency, safety, and cost optimization.
About the Presenter
The workshop is conducted by a seasoned industry with experience in petroleum engineering, data science, and applied analytics. The presenter combines technical with practical insights, equipping professionals to integrate Python-based solutions into real-world oil and gas challenges.
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For PEA Members Only
Applied Dynamic Well Modeling & Simulation
This advanced workshop dives into dynamic well modeling and simulation techniques to optimize oil and gas well performance under transient flow conditions. Participants will learn to predict, diagnose, and mitigate operational challenges using state-of-the-art numerical models and real-time data integration.Key Topics:Fundamentals of Dynamic Well ModelingApplications in Drilling & ProductionAdvanced Tools & Case Studies