Artificial lift
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.
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.
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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SponsoredThis article explores the intricacies of this age-old problem, outlining the causes, consequences, and costs of gas locking, as well as highlighting a novel approach to mitigation that has recently been validated by computational fluid dynamics research. -
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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This paper explores the development of fiber-reinforced thermoplastic sucker rods as a promising alternative for overcoming the limitations of steel sucker rods and thermoset fiberglass sucker rods.
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New and evolving artificial lift technology is helping operators improve production rates.
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Summer blockbuster season has passed, but it’s always nice to grab a bucket of popcorn and escape reality with a movie. Some movies even teach lessons—as in, sometimes it takes hard work and incremental improvements to advance.
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This paper presents a multidisciplinary view of the evolution of a development project for the central area of Sururu and the method applied to address challenges and propose solutions.
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Industry experts advocate for collaboration to develop and test technology that can reduce emissions without breaking the bank.
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The industry is balancing brains and bots as it squeezes out barrels of oil production.
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Machine learning is refining gas lift production optimization with scalable automated workflow.
