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Applied Machine Learning for Reservoir & Production Engineering
Saturday, June 27 - Sunday 28, 2026
9 PM Indian Time
60 Mins Per Day
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For PEA Members Only
This workshop introduces machine learning techniques applied specifically to reservoir and production engineering challenges. Attendees will learn how to build predictive models, analyze complex datasets, and optimize reservoir performance using data-driven algorithms. The course combines theoretical concepts with practical exercises to demonstrate ML applications in well performance forecasting and reservoir characterization.
Workshop Objectives
To enable participants to apply machine learning methods for improved reservoir management and production forecasting, enhancing their ability to extract actionable insights from engineering data and optimize field development strategies.
About the Presenter
Nashat Jumaah Omar - 12+Years of Experience In Oil & Gas Industry
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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