Artificial lift
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.
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. -
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.
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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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The accelerating deployment of machine learning and automation is changing the artificial lift landscape. By embedding intelligence into the control loop, operators now can move from reactive decision-making to proactive, continuous optimization.
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A 2D computational fluid dynamics model is extended to a 3D submodel and validated to provide detailed information on the state of the standing valve as a function of time to assist in sucker rod pump design and operation.
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