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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SponsoredIn oil and gas offices around the globe, the term digitalization prompts a range of responses. This white paper outlines a pragmatic approach to digitalization for oil and gas operators, with a focus on drilling and completion. -
The kingdom and the oil and gas industry have been slow to shore up defenses, raising red flags about the possibility of longer-term fallout in the region, experts said, including those who have responded to incidents in the region.
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Ten big names in the oil and gas business created a group to try out ways to use blockchain in the oil business, and test if the record keeping and automatic data collection software can track water shipments more efficiently.
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Whether thinking about managing oil and gas or other infrastructure facilities or considering industrial efficiency, you may be pondering how the Internet of things can be used. Forward-thinking strategies include not just staying on top of regulatory changes but also influencing them.
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Saudi Aramco, BP, and Schlumberger pride themselves on staying at the forefront of digital technology development and deployment. But an equally daunting challenge for the industry heavyweights is keeping their ever-expanding digital systems secure.
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The artificial-intelligence application BHC3 Reliability provides early warning of production downtime and process risk to improve operational productivity, efficiency, and safety.
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The company has released new technology for cloud data lakes. Can the company take data in relatively slow cloud object storage and make queries against it faster?
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Technology startups are breathing new life into an old industry with advanced software and emerging chemistry solutions. Learn about some of the names earning the most attention from the industry's venture capital groups.
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Using machine learning (ML), image recognition, and object detection, the use of ML on algorithms to recognize objects and describe their condition were investigated—offering new possibilities for performing inspection and data gathering to evaluate the technical condition of oil and gas assets.
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The combination of digital technologies will enable Chevron—and, eventually, other companies—to process, visualize, interpret, and glean insights from multiple data sources, the companies said.
