Hybrid Method of Dynamograms Wavelet Analysis for Oil-Production Equipment State Identification

Iakov S. Korovin; M.V. Khisamutdinov

doi:10.4028/www.scientific.net/AMR.909.252

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 909Hybrid Method of Dynamograms Wavelet Analysis for...

Hybrid Method of Dynamograms Wavelet Analysis for Oil-Production Equipment State Identification

Abstract:

In the paper we considered a hybrid method of dynamograms wavelet analysis, applied for oil-production equipment work mode identification. Neural network architecture for sucker-rod deep-well pump units malfunctions detection is proposed. The architecture of intellectual data recognition system applied for pump installation control is presented.

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Periodical:

Advanced Materials Research (Volume 909)

Pages:

252-259

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.909.252

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Online since:

March 2014

Authors:

Iakov S. Korovin*, M.V. Khisamutdinov

Keywords:

Dynamogram, Evolutionary Algorithm (EA), Malfunction Detection, Neural Network (NN), Sucker-Rod Oil Pump, Wavelet Analysis

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