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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SponsoredDrowning in data? Can’t readily access key data for making critical decisions because it is in legacy systems, unstructured, or not digitized? We have solutions. -
The utility of mud gas data so far has been limited to fluid typing, formation evaluation, and interwell geological and petrophysical correlation. The ongoing digital transformation has presented the opportunity to increase the utility of, and get more value from, the abundant and rich mud gas data. This article raises the question of whether getting more from mud gas…
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SponsoredShell needed an easy-to-use, simple well monitoring solution. Could an IoT wireless solution measure up to a classic wired approach?
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The buzz about the future of automated drilling and it becoming reality depends on improvements in downhole data gathering now. Halliburton is working on it.
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This article examines how clusters with different properties are produced by different clustering algorithms. In particular, it provides an overview of three clustering methods: k-Means clustering, hierarchical clustering, and DBSCAN.
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TGS, BGP, and CGG signed an agreement with state-owned Staatsolie to acquire, promote, and license multiclient seismic programs, including new 3D acquisition, in the shallow waters offshore Suriname.
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Innovative oil and gas companies are leveraging blockchain, but the industry as a whole may be slow to adopt the technology.
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The event aims to educate energy professionals on data science and have them use those skills on the challenges of geothermal energy.
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In an increasingly data-dependent sector, oil and gas companies need to scale up their use of technology across the enterprise rapidly. Success will involve reframing the CIO’s role in driving not only digital transformation but also business outcomes.
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The ethics of artificial intelligence (AI) has become an important topic in the application of AI and machine learning in the past several years. This second part of a two-part series presents the relevance and use of the ethics of AI in engineering applications. Part 1 explains the evolution and importance of AI ethics.
