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.
Applied Python for Oil and Gas Industry
This intensive three-day workshop equips oil and gas professionals with hands-on Python programming skills for industry applications. Participants learn why Python is becoming the future tool for oilfield workflows due to its unmatched flexibility and versatility. The training covers Python fundamentals, data analysis, visualization, and automation relevant to reservoir, production, drilling, and subsurface engineering, using practical workflows and real datasets. No prior Python experience is required, though oil & gas industry knowledge is helpful.