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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A telecommunications company is looking to bring better wireless connectivity to the oil and gas industry, expanding its network to offer wireless data in the Permian Basin and three other oil and gas regions. -
Iranian state-sponsored hackers reportedly have deployed a new strain of data-wiping malware on the network of Bapco, Bahrain's national oil company.
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With so many buzzwords surrounding artificial intelligence and machine learning, understanding which can bring business value and which are best left in the laboratory to mature is difficult.
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Despite having some of industry’s most hazardous working environments, a sector that pioneered the adoption of digital technology has been slow to exploit artificial intelligence and machine learning in the area of health and safety.
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The new feature comes from the desire of readers and reviewers to broaden the scope of JPT’s coverage of developments related to digital transformation and the applications that the industry can derive from these exciting possibilities.
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Telecommunication companies will spend the next 12 months rolling out 5G service for cell phone users across the United States while a Houston company seeks to become the first to provide the ultrahigh-speed technology to oil and gas industry customers in the Permian Basin.
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The XamXung field offshore Sarawak, Malaysia, is a 47-year brownfield with thin remaining oil rims that have made field management challenging. The dynamic oil-rim movement has been a key subsurface uncertainty, particularly with the commencing of a redevelopment project.
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To predict liquid-loading tendencies and to identify opportunities for production enhancement, the performance of 150 gas wells was analyzed in two gas fields in India.
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Many forms of remote sensing imagery can be used, along with data sets and the resultant products, to improve the efficiency and safety of upstream oil and gas operations on the North Slope of Alaska.
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Welcome to the debut of the Digital Data Acquisition feature. The new feature comes from the desire of readers and reviewers to broaden the scope of JPT’s coverage of developments related to digital transformation and the applications that the industry can derive from these exciting possibilities.
