Abstract：The submersible plunger pump is a new device for lifting in onshore oil wells. Its level of working condition diagnosis has important influence on production of oilfield. This paper proposes a working condition diagnosis method of submersible plunger pump. Based on analyzing the potential oil reciprocating pumping works, combining with the pump structure, it occurs different characters in loading and offloading process of submersible linear motor in different working conditions. By defining correlation parameter, the characteristic quantity can be extracted from operation data of submersible linear motor. The support vector machines take these characteristic quantities as input. the working condition diagnosis model based on support vector machines(SVM) of submersible plunger pump is proposed. In this condition, effectiveness and misjudgment rate of working condition diagnosis method can be analysed and validated on simulation platform.
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2013, Vol. 28 
