Drill pump error detection and diagnostic method based on kinetic model and system of method

Abstract

The invention relates to a drill pump error detection and diagnostic method based on a kinetic model. The method comprises the following steps of: 1, measuring a vibration signal and a pump stroke signal of a drill pump; 2, performing elementary section processing on the vibration signal according to a pump stroke period; 3, separating various characteristic signal components of the vibration signal of the drill pump to realize qualitative diagnosis on the errors of the drill pump; 4, performing characteristic parameter counting analysis on time domains and frequency domains of sub-section vibration signals of which attributes are determined to build actual measurement drill pump state vectors; 5, building the kinetic model of the drill pump; 6, optimizing and matching the actual measurement drill pump state vectors and the vectors in error characteristic matrixes in the drill pump system; and 7, displaying error detection and diagnosis results of the drill pump. With the adoption of the method, various characteristic information of the errors of the drill pump can be accurately and subtly extracted and reflected, the steady recognition and the qualitative diagnosis on the errors of the drill pump are realized, and the detection and the early warning of the running state of the drill pump are supplied in time so as to turn scheduled maintenance into on-condition maintenance.

Description

technical field [0001] The invention relates to the technical field of fault detection and diagnosis of petroleum drilling equipment, in particular to a fault detection and diagnosis method of a horizontal three-cylinder single-acting petroleum drilling pump, which uses the vibration generated during the operation of the drilling pump to detect and distinguish the fault of the drilling pump Working status, diagnosis of various faults. Background technique [0002] The reciprocating pump for oil drilling is called the "heart" of the oil drilling rig. During the working process of the drilling pump, due to the vibration of the reciprocating and rotating motion, the impact of the liquid, the unbalanced inertial force, and the characteristics of the conveying medium, such as high temperature, high pressure, strong corrosion, and solid particles, etc., serious wear and tear failures often occur. As a result, the working medium leaks, the pressure in the cylinder drops, and the w...

AI Technical Summary

Problems solved by technology

At present, there are many researches on the fault monitoring and diagnosis of a single component of the drilling pump, and there are many theoretical discussions, but there are few practical applications. It is very difficult to accurately and robustly identify the faults of the drilling pump.

The reason is that the poor adaptability of the signal processing method, especially the low signal discrimination ability, and the inability to accurately determine the vibration signals of various drilling pumps are the primary factors that lead to the inability to accurately and robustly identify drilling pump faults

Secondly, since the drilling pump has multiple cylinders, and each cylinder has a discharge valve and a suction valve, under normal circumstances, each valve will make an opening and closing movement in one stroke, and the aliasing of these movements forms The vibration signal of the drilling pump is very complex, there are many vibration sources, the pressure fluctuation in the cylinder is large, and various vibration components are mixed together, which makes it very difficult to identify the vibration signal of the drilling pump

Third, the motion and mechanical dynamic characteristics of drilling pumps are very complex, lacking the support of dynamic models, it is difficult to give effective detection, interpretation and diagnosis in the face of faults, especially initial faults

In view of the complexity of drilling pump faults, it is difficult for existing drilling pump fault diagnosis systems to achieve accurate and robust diagnosis of drilling pump faults

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