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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Physics-based simulations plus machine-learning exercises are yielding a more comprehensive look at production volumes from unconventional assets. -
Saudi Aramco is accelerating the adoption and scaleup of disruptive and multipurpose robotic technologies to deliver safer, cost-effective, and efficient inspection capabilities, emergency response, aerial mapping, project monitoring, security surveillance, and environmental monitoring.
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Researchers in the Netherlands have established an entanglement-based network between three quantum processors for the first time.
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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.
