R&D/innovation
A shared digital mindset across subsurface, subsea, and drilling and wells is accelerating well planning at Vår Energi.
With funding opportunities improving, developers and researchers are focused on shortening project learning cycles and reducing uncertainty to attract more capital and speed deployment.
By integrating reservoir simulation, probabilistic seismic hazard and risk assessment, and machine learning, this study provides a practical framework for translating complex geoscientific research into evidence-based policy and field operations, achieving measurable reductions in seismic risk indicators in the Groningen gas field.
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Pink hydrogen, produced through water electrolysis powered by nuclear energy, recently drew attention which underscored the complexity of decision-making in advancing such projects. -
Jim Gable, president of Chevron Technology Ventures, shares how CTV works with startups and how their technologies go big.
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The developer of the recently emerged anchorbit technology is preparing to drill its first geothermal well next year in Germany.
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Derived from the principles of radial jet drilling, a new technology called micro-turbine drilling is developed to allow for drilling of micro-sidetracks from cased boreholes in very hard reservoir rock.
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A total of 15 companies, including five small businesses, were recognized this year for their demonstrated advancements in the industry.
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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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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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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.
