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 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.
This paper presents a novel reservoir engineering/reservoir simulation approach—a data-driven interwell-connectivity model augmented as a digital twin—to predict reservoir dynamics and optimize operations in the Changqing oil field of China.
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Researchers in the Netherlands have established an entanglement-based network between three quantum processors for the first time. -
Smaller and independent upstream companies often have limited resources for data management. Nonetheless, their data are valuable and must be managed for that value to be realized. Geologists may just be in the perfect position to do the job, if they can get the training.
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New contracts, a joint venture, and a merger are pushing the company's robotic vessel fleet further into the mainstream of both hydrocarbons and renewable energy inspection services.
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If there's one thing people know how to do, it's guess what caused something else to happen. Usually, these guesses are good, especially when making a visual observation of something in the physical world. AI continues to wrestle with such inference of causality, and fundamental challenges must be overcome before we can have "intuitive" machine learning.
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The digital repository will use a hybrid cloud architecture to provide subsurface data for the Norwegian Petroleum Directorate.
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SponsoredRead the latest research about data management's role in supporting digital transformation in the upstream industry.
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SponsoredWhite Paper—The Ultimate Guide to e-Permit to Work: The Top Three Benefits of Moving Away From PaperMoving to an electronic permitting process can ensure proper and timely authorizations for work between office and field.
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Vaarst, a spinoff from subsea robotic and hydrographic survey company Rovco, wants to accelerate advancement in ocean robotics by providing access to artificial-intelligence technology to marine and subsea providers for autonomous robotic work.
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The honorees will be recognized later this year at the OTC Distinguished Achievement Awards Luncheon.
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GeoMark’s RFDbase contains raw data from every major petroleum basin in the world that can be used in training models to link subsurface characteristics to wellhead performance.
