R&D/innovation
This article is the third in a Q&A series from the SPE Research and Development Technical Section focusing on emerging energy technologies. In this piece, Zikri Bayraktar, a senior machine learning engineer with SLB’s Software Technology and Innovation Center, discusses the expanding use of artificial intelligence in the upstream sector.
Successful in other applications, self-healing coatings could be the oil industry’s ticket to fighting corrosion and extending the life of steel.
The service giant shares how its new technology can sense rock properties 50 ft ahead of the bit in horizontal wells.
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Jim Gable, president of Chevron Technology Ventures, shares how CTV works with startups and how their technologies go big. -
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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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.
