Analysis on Failure Mechanism of Sucker Rod Pumping System

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Abstract:

There is the higher fault probability under the bad work conditions of the rod pumping system.According to the failure of the sucker rod pumping installation, a comprehensive survey is carried out. There is many influence factors of deep well pump working downhole, not only influenced by the machine, wells, pumping equipment, but also by sand, wax, gas, water. Pump conditions can be diagnosed by surface dynamometer card, surface dynamometer card is the first-hand information collected in pumping well of oilfields. By analyze the Characteristics of the different fault dynamometer, Lay the foundation for the further fault diagnosis and prediction. The different pattern of the different dynamometer is important.

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Periodical:

Advanced Materials Research (Volumes 875-877)

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1219-1224

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Online since:

February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] J.F. Cerqueira, J. F. Correa, A.C. Bittencourt. Development of an Intelligent Distributed Management System for Automated Wells[J]. SPE 77609, 2002, 1-11.

Google Scholar

[2] Shirong Zhang, Yuling Tang. Indirect Measurement of Dynamometer Card of Pumping Unit[C]. Proceedings of the 7th World Congress on Intelligent Control and Automation, 2008, 4952-4955.

DOI: 10.1109/wcica.2008.4593728

Google Scholar

[3] Peng Xu, Shijin Xu, Hongwei Yin. Application of self-organizing competitive neural network in fault diagnosis of sucker rod pumping system[J]. Journal of Petroleum Science and Engineering, 2007, 43-48.

DOI: 10.1016/j.petrol.2006.11.008

Google Scholar

[4] De Lima, Guedes, Sliva. Application of Fourier Descriptors and Pearson Correlation for Fault Detection in Sucker Rod Pumping System[C]. IEEE conference on Emerging Technologies and Factory Automation. 2009, 1-4.

DOI: 10.1109/etfa.2009.5347072

Google Scholar

[5] J.F. Corea. Intelligent Distributed Management System for Automated Wells: Experience and Results[J]. SPE 84255, 2003, 1-11.

Google Scholar