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A system and method for diagnosing working conditions of electric pump wells based on multi-sensor data fusion

A multi-sensor and diagnostic system technology, applied in the field of electric pump well working condition diagnosis system based on multi-sensor data fusion, can solve the problems of lack of systematicness and practicability of fault analysis results, lack of field application data, etc.

Active Publication Date: 2022-03-18
CHINA UNIV OF PETROLEUM (BEIJING) +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] At present, from the current situation of the development of electric submersible pump fault diagnosis technology at home and abroad, the diagnosis method of electric pump working condition only considers one or several main influencing factors, especially for the research of multi-parameter real-time electric pump companion data Less, the results of its fault analysis are somewhat one-sided and limited, and due to the lack of specific field application data, the obtained fault analysis results are also lacking in systematicness and practicability

Method used

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  • A system and method for diagnosing working conditions of electric pump wells based on multi-sensor data fusion
  • A system and method for diagnosing working conditions of electric pump wells based on multi-sensor data fusion
  • A system and method for diagnosing working conditions of electric pump wells based on multi-sensor data fusion

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Effect test

Embodiment 1

[0118] In this example, the real-time data of Well No. 1 measured in a working area is taken as an example. The real-time data of this well is saved every 30 seconds. On May 11, 2019, the shaft of the gas separator of the well broke from the bottom, and the broken part was stuck on the coupling. , select the historical data of 2.5 hours of failure of the well, and the obtained data are as follows Figure 27 shown. Preprocess the real-time pump inlet pressure, pump outlet pressure, pump inlet temperature, motor temperature, current, voltage, frequency, oil pressure data and calculated pump pressure difference data, and take the well 14:20 as the diagnosis time point , select 30min, 20min and 10min as the time window for feature processing to draw trend curves of different characteristic parameters, use the curve trend recognition model established in this application to analyze and combine Figure 8 Diagnose the typical working condition rule chart, and the diagnosis results in ...

Embodiment 2

[0121] Taking the real-time data of No. 3 well measured in a certain operation area as an example, the well can collect in real time the frequency, voltage, current, pump inlet pressure, pump outlet pressure, motor temperature, fluid temperature, back pressure, oil pressure, Return to temperature and save once every minute. Some of its real-time data on November 2 and 3, 2019 are as follows Figure 29 As shown, according to the obtained data, it was found that the current, voltage, motor temperature, and fluid temperature all suddenly dropped to 0 at 8:33 on the 3rd, which were classified as abnormal data and directly eliminated; at 4:03 on the 3rd, the well The pump inlet pressure drops sharply and the pump outlet pressure increases, resulting in the pump inlet pressure being almost the same as the outlet pressure, and other parameters also change accordingly. Select the well at 15 o'clock as the diagnosis time point, and 30 minutes as the time interval, and use the multi-par...

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Abstract

The invention relates to a working condition diagnosis system for electric pump wells based on multi-sensor data fusion, which includes a chart generation unit, a fault diagnosis unit and an electric submersible pump working condition instrument, wherein at least two a sensor for collecting real-time behavioral data of the electric submersible pump, the plate generation unit forms a fault plate of the electric submersible pump by establishing a mapping relationship between at least two historical characteristic parameters of the historical behavioral data of the electric submersible pump and historical fault types , the electric submersible pump condition instrument sends at least two real-time behavior data corresponding to the historical behavior data collected during the production process of the electric submersible pump to the fault diagnosis unit, and the fault diagnosis unit adopts the curve established based on the historical characteristic parameters The trend identification model identifies the real-time characteristic parameters of the real-time behavior data processed by it within the set time window, and analyzes the current fault type.

Description

technical field [0001] The invention relates to the technical field of oilfield intelligent diagnosis, in particular to a system and method for diagnosing the working condition of an electric pump well based on multi-sensor data fusion. Background technique [0002] Electric submersible pump condition instrument is the product of the development of electric submersible pump technology, also known as downhole sensor. It is connected to the electric submersible pump unit when it is working, and is used to collect at least: pump suction temperature, motor winding temperature, pump suction inlet pressure, pump discharge outlet pressure, leakage current and motor vibration, and send electrical signals through the electric submersible pump power cable The data is transmitted to the surface recorder in the form of a real-time recording and monitoring of the pump working condition data, and the necessary original parameters are provided for the dynamic analysis and fault diagnosis o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F04B51/00G06K9/62G06N3/04G06N3/08G06Q10/00G06Q10/06G06Q50/02
CPCF04B51/00G06Q10/0639G06Q10/20G06Q50/02G06N3/08G06N3/045G06F18/22G06F18/25G06F18/214
Inventor 檀朝东冯钢宋健马丹孙向飞
Owner CHINA UNIV OF PETROLEUM (BEIJING)