Method for predicating underground fault of sucker-rod pump oil pumping well on basis of multivariable grey model

Abstract

The invention relates to a method for predicating an underground fault of a sucker-rod pump oil pumping well on the basis of a multivariable grey model. The method comprises the following steps of: collecting a ground indicating diagram by an indicating diagram remote data collecting system; converting the ground indicating diagram into an underground pump indicating diagram; extracting a curve moment feature vector capable of representing the graphic feature of the underground pump indicating diagram according to the curve moment theory; predicating each feature vector by the multivariable grey model; and calculating the grey correlation degree of each fault type in predicating samples and standards sets, wherein the fault type corresponding to the maximum grey correlation degree is the fault type of the predicating samples. The working system of the oil pumping well can be reasonably regulated, so that the production efficiency of the oil pumping well is improved, and the fault predication on the underground work condition of the sucker-rod pump oil pumping well can be realized; the calculation is simple, the required samples are few, and the model is applicable to data sets in any distribution; and the prediction accuracy is high, and particularly, the prediction precision on the gradually varied fault type is high.

Description

technical field [0001] The invention belongs to the field of fault prediction methods for rod pumped oil wells, and in particular relates to a downhole fault prediction method for rod pumped oil wells based on a multivariable gray model. Background technique [0002] The failure of rod pump wells is a major problem faced by oil field production, which will affect the operation status of downhole pumps and the oil production of oil wells. Since the oil well pump works thousands of meters underground, the working conditions are very complicated, the working environment is extremely harsh, and the failure rate is very high, which will greatly affect the normal production of the oil field. Once the pumping well breaks down and cannot be diagnosed in time, it will cause waste of energy, affect the production of the pumping well, and bring losses to the enterprise. At present, many studies have focused on the downhole fault diagnosis methods of pumped rod pumping wells, but this ...

AI Technical Summary

Problems solved by technology

Since the oil well pump works thousands of meters underground, the working conditions are very complicated, the working environment is extremely harsh, and the failure rate is high, which will greatly affect the normal production of the oil field

Once the pumping well fails and cannot be diagnosed in time, it will cause waste of energy, affect the production of the pumping well, and bring losses to the enterprise

At present, many studies have focused on the downhole fault diagnosis method of the rod pump pumping well, but this is based on the fact that the fault has already occurred, which has already brought a certain impact on the normal production of the pumping well.

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