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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SponsoredHow are upstream operators setting their geoscience teams up for success? Which data management capabilities are most important? And which geo data challenges are outstanding? These questions and others are answered in a report by the industry analysts IDC, based on a survey of industry participants. -
This paper examines how connected technology can help streamline safety processes and improve worksite efficiency.
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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.
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The agreement will put SLB’s Delfi software to work in Ineos’ oil and gas operations.
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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 describe a technology built on a causation-based artificial intelligence framework designed to forewarn complex, hard-to-detect state changes in chemical, biological, and geological systems.
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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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The heated global floating rig market has day rates for high-end units climbing over a half million dollars and toward a newbuild cycle that will (likely) never come.
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Understanding the subsurface is crucial to the success of carbon capture and storage, and digital solutions are essential for an accurate analysis of the subsurface being considered.
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Health, safety, and environment operations can be greatly enhanced by using artificial intelligence (AI) techniques on HSE data. One important aspect inherent in this process is the need to establish trust in the AI system among the users.
