Management
Tight oil and gas producers in the US are pulling back faster than expected as oil prices stagnate and produced water management constraints grow.
Electricity produced onshore powers oil production at Johan Sverdrup holding CO₂ emissions at only 5% of the global average.
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.
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Bernard Looney resigns, Murray Auchincloss takes over as acting CEO. -
The Advanced Clean Energy Storage project in Utah involves two 4.5-million-bbl salt caverns that will store up to 100 metric tons of hydrogen per day.
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The government is offering its first major funding for the unexplored energy source.
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Work slated for Côte d’Ivoire and Italy includes new riser/pipelines and FSRU facilities.
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On a pro forma basis, the mineral and royalty arm of the Midland-based oil company owns interests covering more than 32,000 net acres in the Permian Basin.
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Panelists from energy companies around the globe gathered to share their personal and company’s experiences in community engagement.
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SponsoredThe data that comes with mapping flow behavior at the stage level of unconventional wells was once accessible only through the installation of costly and intrusive diagnostic methodologies like fiber optic or running production logging. New-generation FloTrac ultrahigh-resolution nanoparticle tracer technology with subatomic spectroscopic measurement techniques now de…
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The authors’ work states that the qualification approach for offshore hydrogen pipeline systems should include material properties testing under various conditions.
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This paper is a summary of a study that covers through-life economics for producing green hydrogen from offshore fixed wind turbines.
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The authors of this paper analyze a robust, well-distributed parent/child well data set using a combination of available empirical data and numerical simulation outputs to develop a predictive machine-learning model.
