Technology
A smart safety helmet with physiological monitoring, gas detection, and real-time location tracking for emergencies was the winning concept at this year's SPE Students Technical Symposium and Exhibition.
This article examines how domain experts can use no-code ML platforms to explore decision-relevant problems, validate hypotheses, quickly build prototypes, and engage more effectively with data science teams when solutions transition toward production.
Over the past decade, oilfield service companies have transformed logging-while-drilling (LWD) development into a faster, collaborative, system-level process that delivers improved reliability from the first run and makes development philosophy as important as the technology itself.
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Students at the Melbourne, Australia, university took home first place at the 32nd US-based Intelligent Ground Vehicle Competition. -
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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Rock Flow Dynamics' donation of its tNavigator software will benefit WVU students studying petroleum engineering, geology, and earth and environmental sciences.
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The report highlights the fast evolution of AI with better performance, bigger investment, and rising global optimism. But job concerns, education gaps, and environmental costs reveal a more complex picture.
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The data include high-resolution spatial layers for environmental research, monitoring, and geospatial analysis.
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The company is investing $1 billion to establish the Engineering and Innovation Excellence Center (ENGINE) in Bengaluru, India.
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Four technologies included in the Global CCS Institute's latest CCS Technologies 2024 report are explored in this article.
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Subsurface modeling and history matching are critical steps for driving decisions. Generative artificial intelligence can support these efforts by incorporating various sources of information and allowing for low-dimensional parameterization for history matching.
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Join TWA Editorial Board member Mani Bansal as he interviews Ashish Fatnani, an industry professional with 12 years of experience working for companies including Halliburton, ONGC, and Mercedes Benz.
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The SPE Gulf Coast Section Data Analytics Group and Fervo Energy invite you to participate in the Machine Learning Challenge 2025 on 21 March.
