Artificial lift
This paper proposes a novel, real-time pump failure prediction method using machine learning with scaled load ratio to accurately predict pump failures using only surface pump load data.
Production delivered by the subsea artificial lift system will equal that obtained by drilling two new wells, according to BP.
This paper demonstrates the effectiveness of integrating dynamic gas separation with existing gas-avoidance methods within the same electrical submersible pump string to address these issues.
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Examples demonstrate how an Integrated Operations Center as a Service (IOCaaS) model, powered by artificial intelligence, reduced costs by 5% and increased production by 6% in Canada. -
Leaders of SPE’s Artificial Lift Technical Section outline the group’s mission, recent technical highlights, and a growing slate of global events shaping the future of artificial lift.
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This paper presents a robust workflow to identify optimization opportunities in gas lift wells through real-time data analysis and a surveillance-by-exception methodology.
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To overcome operational constraints tied to ball-and-seat valves, an operator tested a spring-loaded alternative downhole.
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Field results highlight how rethinking tubing-anchor-catcher design can reduce gas interference and support late-life production.
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Operators are turning to new gas-lift and nanoparticle-fluid technologies to drive up production rates.
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Experience in subsurface production and lift design is shaping a new generation of geothermal operations built for reliability and scalability.
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This paper presents a case study highlighting the demonstration, refinement, and implementation of a machine-learning algorithm to optimize multiple electrical-submersible-pump wells in the Permian Basin.
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This paper presents a closed-loop iterative well-by-well gas lift optimization workflow deployed to more than 1,300 operator wells in the Permian Basin.
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This paper explores the use of machine learning in predicting pump statuses, offering probabilistic assessments for each dynacard, automating real-time analysis, and facilitating early detection of pump damage.
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