Data & Analytics
AI is transforming oil and gas, but the real change will come from young professionals (YPs) who bridge technology and field expertise. By leading pilots, building networks, and challenging old assumptions, YPs can drive the industry’s digital transformation from within.
PE Ltd.'s software will allow students and faculty to work directly with modeling technologies and build real-world, job-ready skills.
By integrating AI into every layer of the energy ecosystem, from renewable forecasting to dynamic pricing, the path toward secure, sustainable, and affordable energy becomes not just possible but achievable.
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Grab a pen and paper and settle in for Part 1 of a four-part series focused on addressing the implementation of AI in the petroleum industry using a real case study. -
Texas A&M is offering a course designed in collaboration with Peloton for students in the petroleum engineering program.
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SPE has established three new technical sections—the Management Technical Section, the Methane Emissions Management Technical Section, and the Data Science & Engineering Analytics Technical Section.
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Schneider Electric University has been designed to help data center professionals expand their skills by offering free guidance on the latest technology, sustainability, and energy efficiency initiatives.
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The ethics of artificial intelligence (AI) has become an important topic in the application of AI and machine learning in the past several years. This first part of a two-part series explains the evolution and importance of the ethics of AI. The second part will present its relevance and use in engineering applications.
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The 2021 Geothermal Experience Datathon focused on the application of analytics and data-science tools on oil and gas well-log data to assess geothermal potential in two North American basins.
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Earlier this year, 19 teams competed in a machine-learning contest held by the Data Analytics Study Group of SPE’s Gulf Coast Section. The was the first competition of its kind for SPE. Here, the organizers of the contest present some of the techniques used and lessons learned from the Machine Learning Challenge 2021.
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Smaller and independent upstream companies often have limited resources for data management. Nonetheless, their data are valuable and must be managed for that value to be realized. Geologists may just be in the perfect position to do the job, if they can get the training.
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The market may be different from what we have previously experienced, but the path to a successful digital transformation is durable and the core principles of success have not changed.
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The grant provides students with access to leading E&P software and mentoring opportunities to engage and prepare them for future careers.
