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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Atlas and Fênix, also from Petrobras, are the two largest supercomputers in Latin America. -
Satelytics, a US-based geospatial analytics software startup, will receive $5 million from BP Ventures to develop its methane-detection technology and then scale its applications across the oil and gas sector.
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With their gee-whiz—albeit artificial—intelligence, robots may be the industry’s answer to jobs deemed dangerous, dirty, distant, or dull.
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In response to increasing demand for remote offshore services, Fugro has completed the Middle East’s first fully autonomous geophysical shallow-water route survey.
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iHawk, Cyberhawk’s cloud-based asset visualization software, will become Shell’s next-generation visualization software platform for all onshore, offshore, and subsea assets, as well as all global construction projects.
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The contract continues the two companies’ 8-year working relationship; in 2012, they performed the world’s-first underdeck inspection.
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A test showing that it’s possible to automate the billing process for produced water hauling has opened the door for tracking a wide range of field activities. The industry downturn brought on by COVID-19 has motivated big companies to test practical applications sooner.
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Oil and gas companies are awash with data. Engineers and geoscientists struggle to work with massive amounts of unstructured, yet valuable, data because it is not organized, is difficult to manage, and may not be complete. New work flows now allow this data to be organized successfully.
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A recent test proved the feasibility of using LiDAR on remote-controlled drones to create 3D maps of the inside of tanks, increasing the safety and efficiency of inspections.
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Machine learning enables fast, cost-effective, and accurate methane emissions detection in remote areas.
