Applied Machine Learning for Reservoir & Production Engineering
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
Applied Python for Oil & Gas
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.