Production
This paper aims to establish a set of best practices for generating particle-size-distribution data from core samples.
Unlike traditional AI approaches that rely primarily on historical data, physics-based AI integrates physical laws, engineering expertise, and operational constraints directly into the learning process. Three recent SPE papers illustrate how this paradigm is transforming the industry through intelligent condition monitoring, virtual sensing, and autonomous production …
This research focuses on combining physics-based expert rules with machine learning to improve the detection of failure-related events in electrical submersible pumps.
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The acquisition expands Talos' footprint in the deep GOM, giving it ownership stakes in key infrastructure. -
SponsoredCase studies prove the benefits of choosing a greener, more efficient, and more powerful displacement system
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The Angolan project is expected to add 30,000 B/D of oil production by year-end 2024.
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Vår Energi cited increased work scope, continued impact of global supply chain challenges for spike in the estimated cost of the Norwegian Continental Shelf project.
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A major variable in the life of a progressing cavity pump is the knowledge of those choosing and operating pumps that have their quirks.
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The latest move to reduce output requirements comes after the coalition lowered its expectations for surplus crude in the market.
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The authors of this paper develop an assay method to determine effective scale-inhibitor concentration.
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The authors of this paper use a pattern-review technique in a complex brownfield as a tool to understand reservoir connectivity and dynamic fluid movements across the field.
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The authors of this paper demonstrate that future produced-water management and scale-mineral control may need to consider the sequential exposure effect of steel, cement, and shale on fluid chemistry and mineral precipitation.
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This paper highlights a tailored chemical treatment strategy developed for solids mitigation for a Delaware Basin operator.
