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 comprehensive technical review of applications of distributed acoustic sensing. -
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.
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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.
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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.
