A flow-based method and system for monitoring pumping unit stroke times and dynamic liquid level information

Abstract

The invention discloses a flow-based method and system for monitoring stroke times and dynamic liquid level information of a pumping unit, and relates to the technical field of oil well monitoring. Preprocess the calibration data obtained from the on-site oil well comprehensive survey, and obtain the dynamic liquid surface characteristic data including the characteristic signal in the time domain, the characteristic signal in the frequency domain and the characteristic signal of the symbolic sequence with a fixed n flow period as the basic processing unit, and based on Dynamic liquid level characteristic data and BP neural network model, build dynamic liquid level early warning model; obtain real-time flow response signal and process it, and determine pumping unit pumping times calculated according to flow response peak value and flow response valley value in real-time flow response signal; The real-time flow response signal is preprocessed to obtain a set of real-time dynamic liquid surface characteristic data, and based on the real-time dynamic liquid surface characteristic data and the dynamic liquid surface early warning model, the real-time buried depth of the pumping unit is determined. The invention not only realizes the accurate monitoring of the pumping times of the oil well pumping unit, but also can monitor the dynamic liquid level information of the oil well downhole.

Description

technical field [0001] The invention relates to the technical field of oil well monitoring, in particular to a flow-based method and system for monitoring stroke times and dynamic liquid level information of a pumping unit. Background technique [0002] At present, as the oilfield development enters the later stage of development, the pumping parameters of the pumping unit system are optimized and adjusted by relying on the stroke frequency and the dynamic fluid surface parameter information, so as to coordinate the pumping capacity of the pumping unit and the formation liquid supply capacity, and improve the efficiency of the pumping unit. It is of great significance to improve system efficiency, reduce oil well energy consumption, and reduce oil field development costs. [0003] With the introduction of digital oilfields, the intelligent and automatic monitoring technology of onshore oilfield parameters has become a trend, and the measurement accuracy of oil well parameter...

AI Technical Summary

Problems solved by technology

At present, oil well parameter measurement often ignores the impact of stroke information on measurement results

[0004] There are many technical methods for the stroke times and dynamic liquid level information of oil well pumping units, among which the dynamic liquid level measurement methods mainly include downhole pressure method, echo method, dynamometer method, time series dynamic liquid level soft measurement technology; The adjustment methods mainly include downhole pressure method, dynamometer method, and soft-sensing technology; soft-sensing technology, echo method and other technologies are relatively weak in real-time and automation. The dynamometer method and downhole pressure method need to be monitored in the oil well, and there is interference Defects such as many factors and high requirements for instrument specifications

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