Oil-well pump running condition recognition method and device

A technology of running state and oil well pump, applied in the field of automation, can solve the problems of large error and low work efficiency

Inactive Publication Date: 2015-02-18
HANGZHOU HOLLYSYS AUTOMATION +1
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

At present, most oilfields still use the dynamometer to measure the dynamometer chart, and then manually compare and analyze the measured dynamometer chart with

Method used

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  • Oil-well pump running condition recognition method and device
  • Oil-well pump running condition recognition method and device
  • Oil-well pump running condition recognition method and device

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specific Embodiment

[0094] a. Divide the operating status of the rod well pump. Divide the operating status of the oil well pump into normal, liquid hammer, insufficient fluid supply, gas impact, oil well sanding, oil well waxing, tubing leakage, oil rod breakage, pump breakage, floating valve leakage, fixed valve leakage, piston pullout There are twelve operating states of the pump, among which the last eleven states are different types of fault states.

[0095] b: Obtain the dynamometer data of the oil well pump as a data sample through the dynamometer or other dynamometer drawing equipment.

[0096] c: Preprocess the sample of the dynamometer diagram: first, binarize the dynamometer diagram, and select the Otsu method (Otsu method) in the global threshold method to take the best threshold for binarization. For a grayscale image, record t as the segmentation threshold between the target and the background, and the ratio of the target pixel number to the image is w 0 , the average gray level i...

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Abstract

The invention discloses an oil-well pump running condition recognition method and an oil-well pump running condition recognition device. The method comprises the following steps: inputting target characteristic vector of a target grayscale image to RWELM, carrying out RWELM operation to output a running condition, and training the RWELM by taking the RWELM as a model for oil-well pump running condition recognition and using an indicator diagram and the running condition as training data, wherein structural risk minimization theory is introduced to RWELM in the training process, namely a hidden layer is regulated by virtue of regulating parameters; therefore, an over-fitting problem of a conventional extreme learning machine is solved; and by replacing general hidden layer excitation function through a wavelet function, a problem of local optimum of the extreme learning machine is solved, and the method has the advantages of high diagnosis speed and high accuracy. The device disclosed by the invention, which is embedded in oil-well pump running condition recognition equipment or system, can discover the running condition in real time, thus providing a basis for running condition maintenance of an oil-well pump.

Description

technical field [0001] The invention relates to the technical field of automation, in particular to a method and device for identifying the operating state of an oil well pump. Background technique [0002] The oil well pump is an important equipment in the oil pumping system of the oil field, and its operation status directly affects the crude oil output and the system safety level. At present, most oilfields still use the dynamometer to measure the dynamometer chart, and then manually compare and analyze the measured dynamometer chart with the typical operating state dynamometer chart, which requires experienced technical workers to compare and compare the error of the results Larger and less efficient. [0003] Therefore, there is a need for a method for quickly and intelligently identifying the operating state, and this method is embedded in the operating state identification equipment or system of the oil well pump, so as to discover the operating state and operating s...

Claims

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Application Information

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IPC IPC(8): G06K9/66G06K9/46
CPCG06F18/21G06F18/2155
Inventor 那文波纪云锋苏志伟张平方俊伟王萍
Owner HANGZHOU HOLLYSYS AUTOMATION
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