Data & Analytics
With the latest addition, the Italian major’s computational capacity passes the exaflop threshold, making the firm the world’s leading company by computing power in the new TOP500 global ranking.
This case study describes how edge computing and industrial internet of things platforms were deployed to automate and optimize production operations across four distinct basins.
This work describes a study in which distributed data parallel training, paired with a node-local caching pipeline, enabled efficient multigraphics-processing-unit scaling for a CO₂-storage graph-neural-network surrogate while maintaining generalization.
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A growing volume of free data and reports from US shale fracturing test sites is available, with more on the way. -
SponsoredWell monitoring hasn’t been easy. But it’s something that has to be done. Remote oil and gas wells are notoriously difficult to monitor. But new technology may make them some of the most advanced sites out there.
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Google takes the wraps off its Quantum AI campus in California and shows off its plans for an "error-corrected" quantum device.
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Airborne drones with magnetometers have worked well in trials and are ready for more widespread use, potentially revealing thousands of previously unknown wells.
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The service company announced that it will collaborate with Amazon Web Services to deploy its software, anchored by its Delfi Petrotechnical Suite, in the cloud.
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Amir Husain sat down with OTC Live to present the trajectory of artificial intelligence and how it will change the face of oil and gas.
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The risk-management firm is teaming up with academia and a robotics specialist for a research project focused on automatic processing of data gathered by autonomous and remote-controlled vehicles.
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Fuel is being delivered to the US East Coast again after hackers infiltrated the company’s operation. Colonial reportedly paid a $5-million ransom.
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Colonial Pipeline shuttered its East Coast fuel pipeline system as data were hacked and held for ransom.
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The conventional wisdom about artificial intelligence is that bigger is better. But enormous neural networks come with some costs, including making it difficult for researchers to figure out how and why the software makes its predictions and decisions.
