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The technology now in development at UH consists of remotely operated vehicles equipped with multiple sensors, video cameras, and scanning sonars that can swim along a subsea pipeline to inspect flange bolts. -
The agreement will put SLB’s Delfi software to work in Ineos’ oil and gas operations.
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On a pro forma basis, the mineral and royalty arm of the Midland-based oil company owns interests covering more than 32,000 net acres in the Permian Basin.
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Government and industry leaders support the oil and gas industry's role in the energy transition.
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Panelists from energy companies around the globe gathered to share their personal and company’s experiences in community engagement.
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The Habshan project aims to capture and sequester 1.5 million tonnes of carbon dioxide per year.
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This paper presents a family of machine-learning-based reduced-order models trained on rigorous first-principle thermodynamic simulation results to extract physicochemical properties.
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This paper is a summary of a study that covers through-life economics for producing green hydrogen from offshore fixed wind turbines.
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This paper presents a comprehensive technical review of applications of distributed acoustic sensing.
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The authors of this paper analyze a robust, well-distributed parent/child well data set using a combination of available empirical data and numerical simulation outputs to develop a predictive machine-learning model.
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In this paper, example machine-learning models were trained using geologic, completion, and spacing parameters to predict production across the primary developed formations within the Midland Basin.
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The authors of this paper present the results of an assessment of two regions in Uruguay suitable for bottom-fixed offshore wind technologies.
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