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 authors demonstrate how artificial intelligence and machine learning can help build a purely data-driven reservoir simulation model that successfully history matches dynamic variables for wells in a complex offshore field and that can be used for production forecasting. -
The recent cyberattack on Colonial Pipeline’s IT system has thrust the issue of oil and gas industry cybersecurity into the spotlight, which, according to specialists in the field, is where it should always be.
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One of the major characteristics of petroleum data analytics is its incorporation of explainable artificial intelligence (XAI). Predictive models of petroleum data analytics are not represented through unexplainable black-box behavior. Predictive models of petroleum data analytics are reasonably explainable. This second part of a two-part series presents the use of XA…
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The latest iteration of the Top500 list puts the Perlmutter supercomputer at Lawrence Berkeley Laboratory in the spotlight.
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The new data-management platform is designed to increase access to energy data.
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The US represents the largest regional market, while China is expected to emerge as the fastest-growing market.
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One of the major characteristics of petroleum data analytics is its incorporation of explainable artificial intelligence (XAI). Predictive models of petroleum data analytics are not represented through unexplainable black-box behavior. Predictive models of petroleum data analytics are reasonably explainable. This first part of a two-part series presents the history of…
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The carbon footprint of Bitcoin and other cryptocurrencies has been making headlines recently. This article explains what drives their energy consumption and presents alternative approaches.
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The digital project is designed to deliver data management and insight across Aramco’s entire drilling fleet, making it the largest deployment in Baker Hughes’ history.
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Being able to deploy machine-learning applications at the edge is the key to unlocking a multibillion-dollar market. TinyML is the art and science of producing machine-learning models frugal enough to work at the edge, and it's seeing rapid growth.
