Management
This paper describes an intelligent completion system in the context of multiple wells that, by electrifying the process, replaces the conventional electrohydraulic systems that have been in use for decades.
In this study, a deep-neural-network-based workflow with enhanced efficiency and scalability is developed for solving complex history-matching problems.
This study presents a production-optimization method that uses a deep-learning-based proxy model for the prediction of state variables and well outputs to solve nonlinearly constrained optimization with geological uncertainty.
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Oil demand is a "growth story" as fuel demand shifts internationally, said Rice University's Kenneth Medlock at the recent SPE/IADC International Drilling Conference and Exhibition. -
Consortium suspends planned purchase of 50% stake in Israeli gas producer in light of ongoing military conflict in the region.
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The agency’s short-term outlook forecasts modest declines in production for the rest of this year.
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Block 3B/4B is on trend with nearby Namibian discoveries Venus and Graff.
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More than two dozen artificial intelligence systems are being celebrated for delivering massive value to the national oil company.
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The supermajor will gain a 60% working interest and assume operatorship in the AREA OFF-1 block.
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Majors and independents alike are targeting high-impact wells across the globe to boost future oil and gas production volumes.
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One area where the untapped potential of geothermal energy has been realized is in harnessing thermal energy from abandoned or inactive oil and gas wells. Such wells could be exploited for electricity generation or direct use through well repurposing.
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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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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.
