Data & Analytics
SPE and The Open Group have signed a memorandum of understanding to advance collaboration and innovation in the global energy industry.
Prospective students can explore Montana Tech's engineering programs including mining, petroleum engineering, and computer science, on 14 November at Montana Tech's Fall Tech Day.
Researchers at Colorado School of Mines explore an internally deployed fiber-optic distributed acoustic sensing (DAS) method for continuous gas-pipeline monitoring, demonstrating its potential to improve leak detection, enable early intervention, and enhance overall pipeline-integrity management compared to conventional inspection techniques.
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For YPs entering the industry, cracking the data code is more than a technical exercise; it’s your power skill and your competitive edge. -
In the real world, where data is messy and workflows are rarely linear, automation often fails. That's where agentic AI comes in.
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The free, 1-day symposium will bring together graduate students, faculty, and industry leaders dedicated to advancing research, career growth, and energy innovation.
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Rajiv Nischal, head of ONGC’s Institute of Production Engineering and Ocean Technology (IPEOT), shares the company's latest developments in technology, sustainability, safety, and more.
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With a record-breaking number of participants, this year's datathon proved that collaboration is the catalyst, data is the tool, and innovation is the outcome.
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David Nnamdi, SPE, speaks about his work as a data scientist and engineer, his development of Sequestrix, an open-source CO2 transport network optimization tool, and where he sees data science and AI’s role in the future of sustainable energy.
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The fifth edition of the SPE Europe Energy GeoHackathon, beginning on 1 October, focuses on how data science can advance geothermal energy and drive the energy transition.
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AI is beginning to transform well management by helping engineers predict electrical submersible pump failures before they happen, optimize drawdown more efficiently, and generate reliable forecasts even when data is scarce or noisy.
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The oil and gas industry's shift to smart fields—driven by automation, AI, and real-time data—requires petroleum engineers to master digital technologies alongside traditional skills.
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Part 1 of this series focuses on the disciplines of geology and geophysics, petrophysics, and reservoir engineering using real-world field examples from Malaysia and the author's experiences in training undergraduate students in Malaysian universities.
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