Data & Analytics
Working with Dell Technologies and NVIDIA, the French supermajor is targeting improved seismic processing and artificial intelligence applications.
A discussion at the inaugural executive breakfast convened by the SPE Data Science and Engineering Analytics Technical Section, held alongside CERAWeek by S&P Global and powered by Black & Veatch, tackled the challenge of value creation from artificial intelligence in the energy industry.
AI‑driven data center growth is straining US power grids and accelerating interest in enhanced geothermal systems as a scalable, low‑carbon solution.
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The complete paper describes the shortcomings of traditional well testing methods and the methodology and results of applying wireline-conveyed IPTT in a light-oil reservoir offshore Norway. -
The complete paper presents a process used to successfully implement a rig-based drilling advisory system (RDAS) across a mixed group of rig contractors.
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The complete paper presents a drilling semantic framework that allows software solutions to achieve automatic and versatile self-configuration.
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In the current work, a rig advisory system is developed to continually improve rate of penetration (ROP) and drilling performance. An intelligent drilling advisory system (IDAS), based on a soft closed-loop solution with multiple regression analysis has been established.
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The national oil company has bought $5 million in new shares, which Vakt says will be used to upgrade its platform and plan for expansion in Southeast Asia.
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Producers and investors continue to reward small companies with big solutions that lean on new software and hardware to lift the bottom line of one the world’s few trillion-dollar industries.
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A ministerial decree in Indonesia has set the data model from the Professional Petroleum Data Management Association as the country's industry standard for upstream oil and gas data.
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Concho Resources and Enverus say turning to automated software for tracking invoices could save the upstream business many millions of dollars.
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SPE is planning a series on petroleum data analytics at its Houston Training Center. The series will kick off with Week One: Subsurface Analytics on 24–28 February and will be led by University of West Virginia Professor of Petroleum and Natural Gas Engineering Shahab Mohaghegh.
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The size of the digital prize is large. But deploying digital technologies at scale is proving harder than first thought. A report from Wood Mackenzie presents lessons from digitalization's early adopters.
