Study on the Quality Evaluation of Electric Submersible Pumps Based on Improved K-means

doi:10.11885/j.issn.1674-5086.2016.11.25.02

Abstract

Abstract: This study examines issues concerning the lifespan of electric submersible pumps and establishes assembly quality grade classifications based on underground vibration measurements. A 3D vibration model of a single electric submersible pump is established. The inflection point method is proposed to optimize the selection of the initial point for a K-means clustering algorithm. 3D synthetic method is employed to calculate the root-mean-square of the synthetic vibration acceleration in three dimensions. The improved K-means algorithm is used to perform a cluster analysis on the root-mean-square values of the synthetic vibration acceleration for 239 electric submersible pumps. Evaluation criteria for the assembly quality of electric submersible pumps are established. Quality tracking is carried out for electric pump measurements and the research results verify the rationality of the established classifications for electric pump assembly quality. According to the results, electric submersible pumps with root-mean-square synthetic vibration accelerations smaller than 1.30 m/s² are excellent pumps with the longest life spans. These pumps are applicable for use in high-yield wells. Pumps with values between 1.30 and 1.72 m/s² are considered as having good quality. Pumps with values between 1.72 and 2.35 m/s² have a typical lifespan and should be used carefully. Those with values higher than 2.35 m/s² are poor quality pumps with a short lifespan and should be repaired before use.

Key words: electric submersible pump(ESP), experimental well, vibration, accelerated velocity, K-means clustering algorithm

CLC Number:

TE937

LIU Guangfu, ZHU He, ZHOU Kaidi, JIAN Jixin, CHANG Yunfei. Study on the Quality Evaluation of Electric Submersible Pumps Based on Improved K-means[J]. 西南石油大学学报(自然科学版), 2018, 40(1): 173-180.

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URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.11885/j.issn.1674-5086.2016.11.25.02

http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2018/V40/I1/173

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