Data & Analytics
EZOps will integrate its Mobile Oilfield Management platform into the college’s energy technology program, giving students hands-on experience with digital tools used in modern oilfield operations.
Switching from continuous circulation to cyclic huff-‘n’-puff operation in enhanced geothermal systems can significantly delay thermal breakthrough, sustain higher production temperatures, and improve long-term economic performance.
Researchers at the University of Houston have developed a new ultrathin, carbon-based film that could make AI chips run faster, cooler, and more energy-efficient.
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This article explores the integration of hydrogen into existing natural gas infrastructure and introduces practical solutions, including the application of machine learning models, to support decision-making and infrastructure adaptation in the energy transition. -
Artificial intelligence is transforming—not replacing—petroleum engineering. As AI-driven, data-centric methods replace traditional deterministic models, engineers must adapt by acquiring skills in data science, algorithmic thinking, and software tools. The industry’s evolution raises a critical question: Will petroleum engineers evolve with these changes or risk beco…
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This research developed a clear framework for assessing and selecting fit-for-purpose software. The study focuses on the role of a data-driven approach in the decision process, with application to operational software systems in the oil and gas industry.
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Digital transformation in the oil and gas industry is likened to a major home renovation—requiring a clear vision, skilled collaboration, patience, and investment in lasting solutions. Though the process is challenging, the end goal is an improved, future-ready operation.
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The SPE Reservoir Technical Discipline and Advisory Committee invite their Reservoir members worldwide to participate in a new survey aimed at assessing the current state of reservoir engineering across industry and academia. Deadline is 21 July 2025.
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Mineralogical, mechanical, and flow complexities in major US shale plays are tightly linked, making traditional 1D modeling inadequate. Emmanuel Obasi, SPE, addresses this with a physics-informed ML approach detailed in this article.
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Secondary and tertiary efforts are critical for sustaining the productive lives of unconventional plays.
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The SPE Ecuador Section brought the excitement of robotics and energy education to life through an intensive 1-day Energy4me training, reaching 1,324 children from rural Quito.
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The university will join a small number of institutions in the US offering an undergraduate degree focused exclusively on artificial intelligence.
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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.
