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
Introduction to AI in Oil & Gas: Opportunities and Challenges
A 2-day workshop designed for reservoir engineers, geoscientists, data analysts, and managers in Exploration & Production (E&P). Learn AI's transformative role in the upstream lifecycle through case studies, hands-on Python/ML demos, and interactive discussions on adoption strategies.