Management
Equinor said it found between 14 million and 24 million BOE with its most recent exploration well in the Polynya Tubåen prospect.
ExxonMobil's Jason Gahr uses the five stages of grief to explain how the upstream industry should respond to the rise of AI.
BP sanctioned development of the Kaskida in 2024, with first oil from the high-pressure project expected in 2029.
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Mero expects to increase its production capacity to over 700,000 B/D.
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The supermajor is making a major course correction as it plans to slash renewable investment and focus more on oil and gas development.
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The operator plans to acquire seismic and carry out appraisal drilling at the site later this year; the find could be fast-tracked as a tieback to the Goliat FPSO.
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This article kicks off a Q&A series from the SPE Research and Development Technical Section, focusing on emerging energy technologies. In this piece, Amy Bason of the Oil and Gas Climate Initiative highlights decarbonization efforts in global transportation.
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Two new studies from completions experts suggest the global upstream industry has a major opportunity in medium-quality reservoirs.
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Mentorship programs equip women with the tools to excel and help close the gender gap in leadership.
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Transitioning to a low-carbon economy demands large-scale CO2, natural gas, and hydrogen storage. In this context, the application of AI/ML technology to uncover geochemical, microbial, geomechanical, and hydraulic mechanisms related to storage and solve complicated history-matching and optimization problems, thereby enhancing storage efficiency, has been prominently …
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This paper aims to investigate the use of an optimization workflow to maximize both hydrogen storage and the net present value to obtain an optimal reservoir development strategy.
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This paper describes how ramp-up operations and commercialization of an underground storage asset were combined, rapidly providing a wide range of commercial services to the Italian gas system while long-term UGS performance increased continuously.
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The authors introduce a novel framework combining dynamic mode decomposition, a data-driven model-reduction technique, with direct data assimilation to streamline the calibration of carbon-dioxide plume evolution models.