Technology
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.
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. -
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.
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The duo’s development of electrodynamic screen technology uses static electricity to clean dust from solar panels, saving an estimated 4 billion gallons of water per year.
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The portal includes SPE resources like OnePetro, PetroWiki, JPT, Energy Stream, and SPE journals which can be easily searched using i2k Connect's AI-driven technology.
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Experts from various fields met to discuss the role of AI in the energy transition and its challenges including high energy consumption and carbon-intensive infrastructure requirements.
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