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Beam pumping unit indicator diagram soft measurement method based on neural network

A technology of beam pumping unit and neural network is applied in the field of dynamometer measurement of the beam pumping unit, which can solve the problems of wasting energy, affecting oil production, troublesome measurement process, etc., and achieving the effect of simple measurement process.

Inactive Publication Date: 2012-01-25
SHENYANG LIGONG UNIV
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Problems solved by technology

In this way, not only the measurement process is very troublesome, but also has an impact on the pumping unit and affects the life of the pumping unit
In addition, because the dynamometer diagram is measured regularly, the operating status of the pumping unit, the liquid level under the oil well, and the change in the load of the polished rod cannot be known in time, so that the pumping unit cannot be maintained in time, affecting oil production and wasting energy.

Method used

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  • Beam pumping unit indicator diagram soft measurement method based on neural network
  • Beam pumping unit indicator diagram soft measurement method based on neural network
  • Beam pumping unit indicator diagram soft measurement method based on neural network

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Embodiment Construction

[0018] A neural network-based dynamometer soft-measurement method for a beam pumping unit is composed of an on-site data acquisition device and a neural network dynamometer measurement part of a monitoring center. The on-site data acquisition device includes an angle sensor device, a power measurement unit, a controller, and a data interface. The angle sensor is used to measure the swing angle of the beam, and the angle sensor device can use a patented product (patent: ZL 2007 2 0015325.2); the power measurement unit is used to measure the motor power; the controller completes data collection and calculation; the core of the controller can use a DSP chip Or PLC device; the data interface is used to exchange data between devices. The neural network dynamometer measurement part of the monitoring center includes data interface, dynamometer sample data and dynamometer soft measurement unit. The sample data of the dynamometer diagram is used for neural network learning; the data i...

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Abstract

The invention relates to a soft measurement method of a beam pumping unit based on a neural network, which aims to provide a beam pumping unit indicator diagram measurement method. The method comprises an angle sensor, a power measuring unit, a controller, an element, a data interface, indicator diagram sample data and an indicator diagram soft measurement unit, wherein the angle sensor is used for measuring the swinging angle of a beam; the power measuring unit is used for measuring motor power; the controller completes data acquisition and data calculation; and the indicator diagram soft measurement unit completes neural network training and indicator diagram measurement and display. The method disclosed by the invention has the advantages of simple measurement process, accurate measurement, reliability and the like.

Description

technical field [0001] The invention relates to the measurement of the dynamometer diagram of a beam pumping unit, in particular to a soft measurement method for the dynamometer diagram of a beam pumping unit based on a neural network. Background technique [0002] The dynamometer diagram of the beam pumping unit is an important means to judge the working state of the oil well, especially the downhole condition. However, the current method of measuring the dynamometer diagram is to measure regularly. Since a load sensor is required, it is necessary to repeatedly stop and start the machine for each measurement. That is, install the load sensor on the polished rod after stopping the machine, start the pumping unit after installation, and at the same time start measuring the power diagram with the handheld terminal. After measuring several strokes, stop the machine, remove the load sensor, and start the pumping unit again. In this way, not only the measurement process is very ...

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Application Information

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IPC IPC(8): G01L3/24
Inventor 孙金根付丽君吴东生杨青
Owner SHENYANG LIGONG UNIV
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