Automatic Recognition of Sucker-Rod Pumping System Working Conditions Using Dynamometer Cards with Transfer Learning and SVM

Automatic Recognition of Sucker-Rod Pumping System Working Conditions Using Dynamometer Cards with Transfer Learning and SVM

Sucker-rod pumping systems are the most widely applied artificial lift equipment in the oil and gas industry. Accurate and intelligent working condition recognition of pumping systems imposes major impacts on oilfield production benefits and efficiency. The shape of dynamometer card reflects the wor...

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Bibliographic Details
Main Authors: Haibo Cheng, Haibin Yu, Peng Zeng, Evgeny Osipov, Shichao Li, Valeriy Vyatkin
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
working condition recognition
sucker-rod pumping system
dynamometer card
convolutional neural network
transfer learning
support vector machine
Online Access:https://www.mdpi.com/1424-8220/20/19/5659

Internet

https://www.mdpi.com/1424-8220/20/19/5659

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