SPE IOR 2026 - Short Course - Introduction to Machine Learning in O&G

Machine learning (ML) algorithms are transforming workflows in the oil and gas industry. The democratization and access to advanced computational tools is helping organizations exponentially accelerate their decision making using these powerful tools. This course introduces the basic principles of machine learning approaches, introduces different ML algorithms, provides a framework on how to identify if these AI/ML algorithms are useful for your data and finally lists key focus areas for successful business outcomes with focus on subsurface.

Topics: • Basic concept of AI/ML – what does this try to achieve and what is required? • Introduction to different types of algorithms • Framing the correct AI/ML problem for the data (Classification vs Regression) • Framework to address typical issues – data quality, data sufficiency, testing and final use in production (based on previous successful implementations) • Successful business cases that drive framework and understanding

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