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 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.
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.