Data & Analytics
The university will join a small number of institutions in the US offering an undergraduate degree focused exclusively on artificial intelligence.
Gautam Swami, manager of corporate R&D at NOV and SPE member, shares his experiences in building a career in oil and gas R&D, discusses how innovation is shaping the industry, and offers guidance to young professionals.
The multiplayer training platform developed by the Texas A&M Mary Kay O'Connor Process Safety Center and EnerSys Corp. uses artificial intelligence and gaming technology to simulate pipeline emergencies.
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Dan Jeavons, Shell’s VP of computational science and digital innovation, discussed the findings in MIT’s recent report on digital technology’s impact on a net-zero emissions future with Aman Srivastava, TWA deputy editor in chief. -
Join us for the final installment in our four-part series focused on addressing the implementation of AI in the petroleum industry using a real case study.
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Continue our journey with Part 3 of this four-part series focused on addressing the implementation of AI in the petroleum industry using a real case study.
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Join us for Part 2 of a four-part series focused on addressing the implementation of AI in the petroleum industry using a real case study.
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The program is designed to analyze, report, and study solutions for oil and gas greenhouse gas emissions.
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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.
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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.
