Data Science & Machine Learning for Petroleum Engineers and Geoscientists
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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.
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For PEA Members Only
Fluid Separation and Treatment
This workshop provides an overview of fluid separation and treatment processes critical to oil and gas production operations. Participants will explore the principles and technologies used to separate oil, gas, and water phases, with emphasis on equipment design, process efficiency, and environmental compliance.