Data & Analytics
The cloud platform provider said the initiative is designed to help energy companies manage and analyze large-scale operational data.
Major increases in hydrocarbon production require both incremental and revolutionary technologies, industry leaders said during the SPE Hydraulic Fracturing Technology Conference.
This paper presents a multifaceted approach leveraging precise rig control, physics models, and machine-learning techniques to deliver consistently high performance in a scalable manner for sliding.
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The center will allow developers and researchers to test digital and robotic products and services for offshore renewable energy. -
Oil and gas operators such as Shell and Oxy are now employing AI together with a vast network of sensors and other machine-learning software to stamp out problems before they happen.
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Premier Corex and Teverra will be combining their efforts to aggregate data for companies involved in large-scale geothermal projects.
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The artificial intelligence technology is expected to increase understanding of subsurface structures.
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The collaboration expects to redefine methane detection and contribute to emission-reduction efforts across dozens of industries, including energy, agriculture, manufacturing, and transportation.
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This article presents a deep-learning approach, the long short-term memory network, for adaptive hydrocarbon production forecasting that takes historical operational and production information as input sequences to predict oil production as a function of operational plans.
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The authors of this paper describe a continuous monitoring system based on the Internet of Things (IoT) to use methane-concentration sensors permanently installed at facilities and connected to a cloud-based interpretation platform.
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The Robotic Supervision System project is expected to bring autonomous cooperation a step closer for oil and gas operators.
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Ocean services provider DeepOcean has mobilized its first autonomous inspection drone and plans to conduct offshore trials for an operator on the Norwegian continental shelf.
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While the industry is adopting the technology, one expert highlights areas where the oil and gas sector could speed up the adoption of artificial intelligence.
