Data & Analytics
This research focuses on combining physics-based expert rules with machine learning to improve the detection of failure-related events in electrical submersible pumps.
A combination of physics principles and machine-learning techniques is used in this work to develop a virtual flowmeter for oil-production optimization in electrical-submersible-pump-lifted oil wells, resulting in reliable generalization.
This paper presents the deployment of an artificial intelligence-enabled autonomous gas lift optimization system, integrating real-time centralized advanced process control with cloud-based analytics to enhance artificial gas lift performance in producer wells.
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The goal of this paper is to aid oilfield security planning and design processes through improved recognition of the cyber-physical security effects arising from the implementation of the industrial Internet of Things. -
Thousands of satellite images were scrutinized by monitoring company Kayrros to identify ultra-emitters of methane, greenhouse-gas sources that cannot be detected by terrestrial monitors. Up to 150 methane plumes a month were seen, some spreading for hundreds of kilometers.
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TAQ Energy, an oilfield abandonment service company, and Engage Mobilize announced a partnership to develop a cloud-based operational and financial platform.
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Accenture was selected by Aker BP to develop a data factory in collaboration with Cognite. The cloud-based project has the goal of digitalizing the full lifecycle of the company’s operations to cut costs, improve productivity, and lower its carbon footprint.
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The authors describe an integrated multiscale data methodology involving machine-leaning tools applied to the Late Jurassic Upper Jubaila formation outcrop data.
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This paper describes the application of a synthetic seismic-catalog-generation method followed by application of a neural network on a seismic data set for an oil-producing field in the North Sea.
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In this work, a methodology to detect interference from long-term pressure and flow-rate data is developed using multiresolution analysis in combination with machine-learning algorithms.
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SponsoredImprove decision making and reduce the uncertainty of CCS projects with accurate, detailed subsurface insights that help you estimate storage capacity, run play chance mapping, improve your injection strategy, and simulate carbon plumes over time.
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The web-based tool may be applied throughout an energy project's life cycle.
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Ultimately, the company formerly known as Facebook wants the AI Research SuperCluster system to help it develop artificial intelligence to power the metaverse.
