Applied Machine Learning and Data Science for Reservoir Engineering
Join our 2-day free workshop on Applied Machine Learning and Data Science for Reservoir Engineering, designed to equip participants with cutting-edge skills in Python-driven data analysis and predictive modeling for reservoir optimization.
Workshop Objectives
Understand the fundamentals of Machine Learning and Data Science in Reservoir Engineering.
Learn to apply Python for data analysis, modeling, and predictive analytics in reservoir management.
Explore real-world case studies and hands-on exercises to enhance practical skills.
Gain insights into optimizing reservoir performance using advanced data-driven techniques.
About the Presenter
Mr. Nashat Jumaah Omar - 11+Years of Experience In Oil & Gas Industry
Applied Machine Learning for Upstream and Subsurface Domains
This two-day hands-on workshop is designed for petroleum and subsurface professionals seeking practical skills in machine learning for upstream oil & gas operations. The program teaches participants how to apply machine learning to uncover patterns in production and reservoir data, discover equations from historical relationships, and build predictive models for vital engineering parameters. Real-world datasets from drilling and subsurface domains are used, focusing on automating reports, visualizing data, and interpreting model outputs for improved decision-making.