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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For today’s oil and gas companies, digital twins offer untapped potential to decarbonize the leading source of their emissions—field production.
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The combined firm aims to create a stronger and more diversified geophysical company and energy data provider.
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SponsoredMOSAIC's advanced Automated Reconciliation to Reserves Workflows enhances accuracy, speeds up processes, and meets the need for precise asset valuation. Equip your reserves teams with reliable information and insights to reduce uncertainty, boost efficiency, and make smarter business decisions.
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Few oil and gas companies give data science projects the better part of a decade to prove out, but that’s just what this one did.
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Data and AI will change our industry for the better. At the root of this change will be the empowerment of engineers to make better decisions.
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One is on Earth, and one is not. But the knowledge transfer between the oil patch and off-world has fueled meaningful technological advances for all involved.
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The company has announced that it will be expanding the use of generative AI to assist its employees.
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Energy companies now can get more oil out of the ground using vast amounts of data that makes their offshore exploration more accurate, using a satellite uplink to transmit the data from oil rigs up to space and then off to the cloud.
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The US has had a lackluster response to the emergence of the technology, currently lacking any comprehensive roadmap for adoption, which translates into a low adoption rate.
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The advancement of the oil and gas industry hinges on its ability to transform digitally by applying high-quality data to illuminate its path forward.