gas lift
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While equipment run life and reliability remain core concerns, experts say operators are increasingly turning to real-time surveillance and autonomous optimization to unlock new production gains. -
This case study describes how edge computing and industrial internet of things platforms were deployed to automate and optimize production operations across four distinct basins.
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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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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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ExxonMobil developed an automated system to identify nonproductive and underperforming Permian Basin wells and prioritize high-volume wells to return to production.
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This work presents the results of several failure analyses of gas lift valves retrieved from subsea wells that were unable to prevent backflow from tubing to annulus
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This paper describes laboratory tests simulating varying sour-well and extended galvanic corrosion conditions to determine the adequacy of selected armor metallurgies in downhole corrosive environments.
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