Artificial lift
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.
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.
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This paper focuses on analysis of beam-pump-failure root causes and trends and how the operator has used these data combined with automated equipment to reduce failure frequency and operating cost. -
One thing this cycle has in common with all of the other down cycles the industry has been through is that most companies ignore the opportunities a down cycle presents.
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A production-optimization strategy of an artificial-lift system resulted in the mitigation of challenges related to reservoir heterogeneities and completion design.
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Case studies from around the world prove that big rewards await companies that optimize the artificial lift systems keeping their mature fields alive. The success stories involve a mix of monitoring, automation, and performance tracking.
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When a gas lift system starts performing poorly, there is a good chance no one will notice. It is not an event that demands attention like a broken pump. A gas lift system will continue injecting gas into wells and oil will continue to come out. Just not as much oil as there could be.
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Celebrating five individuals and their contributions to the industry.
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In artificial-lift applications, a new anchoring device for insertable progressing-cavity pumps (I-PCPs) extends I-PCP applications to a larger set of candidate wells.
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It was established that improving the reliability of the TH-connector system has a direct effect on the unintervened life of the ESP electrical system.
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The new approach joins well performance from production-system analysis and true valve performance from the VPC database to form an integrated system performance tool.
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This paper describes the use of a root-cause-failure-analysis (RCFA) process to improve artificial-lift-system performance in a project in Chad.
