Data & Analytics
The emerging vision is an industry where engineers focus on judgment, risk assessments, and accountability.
This paper presents the large-scale deployment and operational integration of an advanced, automated rheometer in the Ghawar gas field, one of the world’s most prolific and technically complex hydrocarbon developments.
This study demonstrates the transformative potential of physics-informed neural networks as a hybrid framework for multiphase flow measurement.
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The 5-year contract with global ROV equipment and services provider ROVOP supports Energean’s field development within the wider Katlan area adjacent to Israel’s Karish gas field. -
The site survey and inspection of an offshore gas platform in UAE waters was executed entirely from an onshore remote operations center without sending personnel offshore.
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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…
