Asset Management
Schneider Electric says the deal advances its vision of creating intelligent industrial ecosystems that connect physical assets with digital insights across the asset life cycle.
The events will be co-located 3–5 May 2027 at Reliant Park in Houston, Texas.
The firm’s latest analysis puts the bulk of the blame on a fragmented supply chain.
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More than two dozen artificial intelligence systems are being celebrated for delivering massive value to the national oil company. -
The supermajor will gain a 60% working interest and assume operatorship in the AREA OFF-1 block.
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Longtime leaders in artificial lift discuss and share their insights on the rapidly evolving segment’s past, present, and future.
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The world of artificial lift has witnessed a remarkable revolution over the past 25 years, with many of the events and technology trends recorded in the Journal of Petroleum Technology.
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There will always be a need for good artificial lift engineers. So, what should the next generation of its professionals be trying to pursue?
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Artificial intelligence is increasingly being used to assist in the development of materials, including metal-organic frameworks (MOFs), to advance carbon capture technologies. Researchers assembled more than 120,000 new MOF candidates within 30 minutes.
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Early adopters of large language models praise the technology’s promise to advance upstream research and software development while also offering cautionary notes.
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This paper provides insights into the technical and economic viability of repurposing oil and gas wells for geothermal energy production for direct heating.
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Slickline-Deployed Fiber-Optic Cable Provides First Production Profile for High-Temperature Gas WellThis paper describes a case study in which, in the absence of a conventional production log, distributed fiber-optic sensing, in conjunction with shut-in temperature measurements, provided a viable method to derive inflow zonal distribution.
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This paper discusses and evaluates retrofitting abandoned petroleum wells for geothermal applications as a commonly proposed solution to meet the challenge of the capital expenditure required for drilling and completion.
