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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This technical paper describes the planning and execution of a multiservice-vessel (MSV) -based hydraulic-intervention campaign in Chevron’s Tahiti field in the US Gulf of Mexico. -
With the availability of more-complex smart-well instrumentation, immediate evaluation of the well response is possible as changes in the reservoir or well occur.
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Oil and gas producers in the Gulf of Thailand face unique technical challenges. This review of papers illustrates some of the innovative solutions used in the region.
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At the 2017 SPE Oilfield Chemistry Conference, an assistant professor from Heriot-Watt University discusses the optimization of squeeze treatments delivered by diving support vessels.
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A look at the challenges in creating a foamer with corrosion and scale inhibition properties for application in wet-gas production.
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This paper discusses the objectives of the Fiber-Optic Leak-Detection (FOLD) project, carried out in Verneuil-en-Halatte, France.
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A new purpose-built center offers cutting-edge research, formulation analysis, and testing in one location.
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Industry trends in production monitoring and surveillance continue to demonstrate significant input from the academic and research fields, practical applications, and new-technology introduction. Market conditions similar to those of the previous year are driving some of the same discussions.
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The authors used a high-quality digital-log data set to characterize reservoir quality accurately in the Niobrara and Codell Formations in the Denver-Julesberg (DJ) Basin.
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This paper considers some of the challenges and learnings associated with the application of chemicals for preservation of coated pipe/flowline for a major liquefied-natural-gas (LNG) project in Australia.
