Data & Analytics
This paper presents a smart safety monitoring system to prevent accidents in environments with moving machinery at use on various global rigs.
The Energy and AI Observatory aims to use up-to-date information on energy demand from data centers to determine how artificial intelligence is optimizing the energy sector.
The company is making available its data on ocean and weather conditions in an effort to boost transparency and innovation.
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Machine learning is refining gas lift production optimization with scalable automated workflow. -
The Permian’s produced-water challenge presents an opportunity for innovation to pave the way toward a more sustainable future for the industry.
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The chief operating officer of Chesapeake Energy tells the Unconventional Resources Technology Conference that small wins can pave the path to big achievements.
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Using autonomous systems creates efficiencies, but, even more critically, it also allows engineers to be engineers.
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The Norwegian major agrees to use Seeq’s software in an effort to maximize production and enhance efficiency across its assets.
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This article explores the implementation of artificial intelligence vision for leak monitoring automation in the oil and gas industry and its role in improving safety standards, operational efficiency, and environmental performance.
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This paper investigates the use of machine learning to rapidly predict the solutions of a high-fidelity, complex physics model using a simpler physics model.
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This study proposes a hybrid model that combines the capacitance/resistance model, a machine-learning model, and an oil model to assess and optimize water-alternating-gas (WAG) injectors in a carbonate field.
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SponsoredTAQA is commencing its journey into the year 2024 with the successful launching of many innovative coiled tubing technologies and solutions, technologies that will transform the nature of well intervention operations into a new era. Read this article and dive into the high-tier coiled tubing technology offerings from TAQA.
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The new system at the US Department of Energy’s Argonne National Laboratory achieved more than a quintillion calculations per second.
