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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Liberty will be integrating Seismos’ measurements-while-fracturing system into its completions service to analyze near-wellbore fracture networks and create a near-field connectivity index. -
SponsoredHow is the evolution of cloud technology advancing data management in the upstream industry? How can a Software-as-a-Service (SaaS) approach empower operators to extract more value from their data? Read about the latest developments in a new white paper.
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As technology advances in the oil and gas sector, so does cybersecurity risk. To stay secure, companies should blend cybersecurity into their safety conversations, said expert Nicholas Andersen at the 2022 Offshore Technology Conference.
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Cryptocurrency is not the only game in town when it comes to using natural gas at the wellhead to reduce flaring. There are self-driving cars, the coming “metaverse,” language processing, chat bots, and more, all of which require advanced computing and a lot of energy. The demand is driving an expansion of services for Crusoe Energy.
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Technology continues to transform every aspect of our lives and its role in modernizing oilfield operations is no different.
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The perception of the petroleum industry is not currently a good one. So, if that sentiment can be measured, can it be improved? The SPE Sustainable Development Technical Section believes it can by SPE members thinking like activists yet acting like engineers. Data collection and analysis are key to determining what really matters.
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The paper describes the experience of using a machine-learning model prepared by the ensemble method to prevent stuck-pipe events during well construction in extended-reach wells.
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Capitalizing on technology that originated with NASA delivers savings on directional drilling operations.
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This paper presents a screenout-classification system based on Gaussian hidden Markov models that predicts screenouts and provides early warning.
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The certification course, run by SeaBot XR, focused on critical topics such as mission analysis, situational awareness, cybersecurity, and resource management.
