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 downtime of manufacturing machinery, engines, or industrial equipment can cause an immediate loss of revenue. Reliable prediction of such failures using multivariate sensor data can prevent or minimize the downtime. With the availability of real-time sensor data, machine-learning and deep-learning algorithms can learn the normal behavior of the sensor systems, dis… -
Hiber, an industrial Internet-of-Things startup, announced that it has signed an agreement with Shell to provide well-integrity monitoring solutions globally.
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Privacy concerns about AI systems are growing. So researchers are testing whether they can remove sensitive data without retraining the system from scratch.
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SponsoredIntense global competition, explosive market dynamics and the industry’s energy transformation are all creating business strains not seen in decades. Harness information produced during the lifecycle to extract valuable insights and attain management excellence.
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The SEC has signaled that it has started taking cyber vulnerabilities much more seriously than it has in the past. Two recent fines signal that the agency views lax cybersecurity as an existential threat to businesses and is willing to penalize companies who fall short.
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Energy giant General Electric will be using one of the world's most powerful supercomputers, IBM's Summit, to run two new research projects that could boost the production of cleaner power.
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This paper describes an artificial intelligence deep Q network for field-development plan optimization.
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In this paper, the authors describe a model that uses augmented artificial intelligence to optimize well spacing by use of data sculpting, domain and feature engineering, and machine learning.
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The UK’s Oil and Gas Authority has released 50 years of data from the North Sea in an effort to boost exploration and production and locate potential sites for carbon storage.
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The larger data set is expected to provide critical insight for wind resource assessment in the New York Bight lease sale.
