Artificial lift
Novel lift systems, AI-driven automation, and real-time engineering models are helping operators extract more value from mature wells.
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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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. -
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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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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Experience in subsurface production and lift design is shaping a new generation of geothermal operations built for reliability and scalability.
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Operators are turning to new gas-lift and nanoparticle-fluid technologies to drive up production rates.
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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.
