Data & Analytics
This research focuses on combining physics-based expert rules with machine learning to improve the detection of failure-related events in electrical submersible pumps.
A combination of physics principles and machine-learning techniques is used in this work to develop a virtual flowmeter for oil-production optimization in electrical-submersible-pump-lifted oil wells, resulting in reliable generalization.
This paper presents the deployment of an artificial intelligence-enabled autonomous gas lift optimization system, integrating real-time centralized advanced process control with cloud-based analytics to enhance artificial gas lift performance in producer wells.
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This paper presents a physics-assisted deep-learning model to facilitate transfer learning in unconventional reservoirs by integrating the complementary strengths of physics-based and data-driven predictive models. -
The promise of DataOps, the application of agile DevOps methods and tools to data engineering, is compelling even though the term has progressed through the hype cycle for years and, for many, little impact has been achieved. The potential remains strong, though. If impact is elusive, there are likely two main causes.
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Machine learning has been shown to have a promising role in oil and gas explorations in recent years. Among the applications, determining a proper location for injection and production wells along with their optimal operating conditions is a complex problem.
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The partnership plans to develop an overlying software suite, Data Mesh, to consolidate data from various sources and increase data-access efficiency.
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A recently signed contract lines the company up to provide autonomous ocean robots for inspection of the oil giant’s subsea field developments in the Gulf of Mexico.
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This article explains what deep learning is and how it works and presents an example use case from the energy industry.
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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.
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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.
