Artificial lift
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.
Field results highlight how rethinking tubing-anchor-catcher design can reduce gas interference and support late-life production.
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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. -
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.
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The digital repository of our valuable SPE papers was first launched as the SPE eLibrary in 1997 and subsequently was updated as OnePetro in 2007. This great collection has become a valuable resource for our global industry.
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As oil and gas fields are depleted, artificial lift systems are often required to maintain delivery volumes and to maximize recovery.
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Different artificial lift technologies have been used for decades to dewater coalbed methane (CBM) wells to reduce hydrostatic pressure and release the gas for production.
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The rapid growth of progressing cavity pumps is an example of how new uses continue to emerge for older technology.
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High-reliability gas lift flow-control devices (GLFCDs) enable gas lift for wells with the potential for H2S in the produced gas and where casing is not qualified for H2S service.
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Artificial-lift reliability is strongly influenced by how well the equipment is selected, designed, and operated for its particular application. The required artificial-lift knowledge is more than simply entering data into a software program or taking one class on the subject.
