Data Science & Machine Learning for Petroleum Engineers and Geoscientists

This workshop equips petroleum engineers and geoscientists with practical knowledge of data science and machine learning applications in the energy sector. Through industry-relevant examples, participants will learn how advanced analytics can be applied to reservoir characterization, production optimization, and operational forecasting.
Workshop Objectives
• Understand core data science and machine learning concepts relevant to petroleum applications.
• Apply statistical and computational techniques to subsurface and production data.
• Build predictive models to support exploration, reservoir management, and operational decision-making.
• Enhance technical workflows by integrating modern data-driven approaches with traditional engineering and geoscience practices.
About the Presenter
Led by a professional with extensive expertise in petroleum engineering, geoscience, and data analytics, the workshop bridges technical depth with practical application. The presenter draws on years of industry experience to guide participants in applying data science and machine learning tools to real-world oil and gas challenges.
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.