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 details experiences gained while developing a novel technology-driven approach to risk assessment methodologies such as process hazard analysis, hazard identification, and hazard operability in oil and gas. -
This article presents a new data-driven analysis to locate low-frequency seismic sources, referred to as near-infrasound or infrasound sources. Combining these infrasound signals with microseismicity signals allows for better characterization and monitoring of the stimulated reservoir volume.
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Five-year agreement expands relationship to create digital twins.
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The collaborative virtual asset and data management suite is designed to meet the needs of the offshore renewable energy market and oil and gas subsea asset owners.
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Texas A&M University-Qatar in collaboration with the SPE Qatar Section conducted a 2-day virtual workshop on flow assurance, carbon reduction, and digitalization. Participants included more than 200 professionals associated with academia, research institutes, and industry from 23 countries.
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Overcoming the gaps in digital transformation through collaborative partnerships will be paramount if Nigeria is to benefit fully from a boom in oil and gas infrastructure and be considered an industry heavyweight on the world stage.
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As data sets collected in the field have grown exponentially, data management challenges have both evolved and compounded. This article addresses these pain points and presents strategies and solutions that should be implemented to ensure data compliance and entitlement and promote ease of accessibility, both internally and externally.
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The supermajor and oilfield service company have teamed up for the second time in 4 years on the deployment of a new optimization software.
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The authors of this paper evaluate the effectiveness of production-enhancement activities for a long-string, gas-lifted producer using distributed-temperature-sensing technology.
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The authors of this paper write that 4D data are an integral part of a reservoir-management program and, together with geological and production history data, are being used to update reservoir models to further the goals of field development.
