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
Oil and Gas Data Management and Dashboarding using SQL, NoSQL, Power BI and Python
This 2-day intensive workshop is designed for the oil and gas industry, focusing on transforming operations with data management and real-time visualization tools. Participants will learn practical workflows for managing, querying, and visualizing oilfield data using SQL, NoSQL, Power BI, and Python. The course features hands-on demonstrations and real-world examples to build data pipelines, connect databases, and design dashboards tailored for engineering and operational excellence in oil & gas.