Hybrid Method of Dynamograms Wavelet Analysis for Oil-Production Equipment State Identification-Reference-Cited by-同舟云学术

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

Published:2014-03 Issue: Volume:909 Page:252-259
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Korovin Iakov S.¹^ORCID,Khisamutdinov M.V.²

Affiliation:

1. Scientific Research Institute of Multiprocessor Computer Systems

2. Southern Federal University (SFEDU)

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.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.909.252.pdf

Reference12 articles.

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3. Tagirova K.F. Technological process management automation ofthe oil production from depleted wells based on the dynamic models. /Tagirova K.F. /Ufa., (2008).

4. Mansaffov R.I. New approach to oil pumps operation diagnostics basing on dynamogram / engineering practice: production and technical oil and gas journal - 2010. -Issue. 9. 82-89P.

5. Aliev T.M. The automated control and diagnostics of the sucker-rod deep-well pumping unit. / Aliev T.M. /Ufa, (2008).

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