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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With a rapid transition toward renewable energy, the energy sector has an increased reliance on technology. This makes it particularly vulnerable with regard to cybersecurity.
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Registration is open for the SPE Europe Energy GeoHackathon, which will be held in October and November. It will be preceded by 4-week online bootcamp sessions on data science and geothermal energy, which will begin on 2 October.
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Decades of experience injecting fluids into the ground has revealed a fundamental truth: No two injection sites are the same. A thorough understanding of site-specific conditions is essential to ensure safe and secure long-term subsurface disposal of carbon dioxide.
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Advanced aerial imagery—be it collected from drone, satellite, or fixed-wing aircraft—is one of the best options available for securing the critical information needed to run things smoother in the oil field.
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A Houston startup that is developing a technology to detect methane leaks has moved on to Phase 2 of Chevron's business accelerator.
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The company said its expanded XIO series of remote controllers provides real-time monitoring and control, improved data accessibility, and enhanced data integrity.
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The Angolan oil and gas producer will use the Palantir Foundry software suite across its operations.
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This article presents the application of a reinforcement learning control framework based on the Deep Deterministic Policy Gradient. The crack propagation process is simulated in Abaqus, which is integrated with a reinforcement learning environment to control crack propagation in brittle material. The real-world deployment of the proposed control framework is also dis…
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While master data management is crucial for maintaining data integrity and supporting business processes, it often goes ignored in mid- to large-size oil and gas companies. Most think that implementing robust enterprise resource planning will solve all master data problems. They find they are sorely mistaken when, after investing millions of dollars in a new accountin…
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Appropriate data standards do not restrict creativity and innovation, they enable it. Being a little cynical, I guess we just do not value clarity, quality, or productivity over empowerment to do things our own way. “Why can’t we all just get along?”