Asset Management
Three wind projects planned to produce around 300 MW have entered the execution phase under a partnership with OMV Petrom and RNV Infrastructure.
A Dallas Fed survey update suggests few executives foresee a strong US production response, even with oil prices above $90/bbl.
The US Department of Energy and Pennsylvania Department of Environmental Protection will convert a horizontal Utica Shale gas well into an enhanced geothermal system. Building directly on horizontal drilling and completion practices developed in the Utica, the project will include evaluation of optimal well orientation, lateral placement, and spacing.
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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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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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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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Early adopters of large language models praise the technology’s promise to advance upstream research and software development while also offering cautionary notes.