CN212407002U - Monitoring and fault predicting device for electric submersible pump unit - Google Patents
Monitoring and fault predicting device for electric submersible pump unit Download PDFInfo
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- CN212407002U CN212407002U CN202021805497.1U CN202021805497U CN212407002U CN 212407002 U CN212407002 U CN 212407002U CN 202021805497 U CN202021805497 U CN 202021805497U CN 212407002 U CN212407002 U CN 212407002U
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Abstract
The utility model discloses an oily charge pump unit monitoring of diving and failure prediction device, include: the method comprises the steps that the aboveground device collects current running state information of the electric submersible pump unit in real time, the current running state information is input into a grey prediction neural network model, predicted vibration acceleration data of the electric submersible pump unit in the next period are obtained, when the vibration acceleration data of the next period exceed a vibration acceleration threshold value, all the vibration acceleration data of the period are compressed, and the compressed vibration acceleration data are sent to the aboveground device. And the aboveground device decompresses the obtained compressed vibration acceleration data to obtain all vibration acceleration data in the period and sends the vibration acceleration data to the upper computer. And the upper computer performs fault prediction analysis on the submersible electric pump unit according to all the acquired vibration acceleration data of the period. Through the utility model discloses not only realized the running state monitoring of oily charge pump unit of diving, carried out predictive analysis to the running state moreover.
Description
Technical Field
The utility model relates to an oily charge pump unit technical field of diving especially relates to an oily charge pump unit monitoring and failure prediction device of diving.
Background
The electric submersible pump unit is important mechanical oil extraction equipment for oil field development, has the advantages of large discharge capacity, high lift, large production pressure difference, strong adaptability, simple ground process flow, remarkable economic benefit and the like, can be widely applied to high-yield oil wells, high-water-content wells, deep wells and directional wells after blowout stoppage, and is an important means for realizing high and stable yield of oil fields.
Because the electric submersible pump unit works in a deep oil well, the working condition state of the electric submersible pump unit is difficult to monitor, and a plurality of underground faults which are difficult to distinguish easily appear in the production process. Therefore, how to carry out comprehensive working condition state monitoring and working state predictive analysis on the operation of the electric submersible pump unit, grasp the underground state of the electric submersible pump unit during production and predict equipment faults is an important and urgent research subject, and is also the key for excavating the potential of an oil well, ensuring the effective work of the equipment, prolonging the pump detection period and improving the technical level of production management.
The existing underground monitoring system of the electric submersible pump unit generally tests two binary parameters of underground temperature and pressure, but from the aspect of field application, the requirement of a user for mastering the underground multi-parameter monitoring of the electric submersible pump cannot be completely met due to the fact that the testing parameters in the scheme are few, and the obvious defect that the operation process is complex exists. The underground monitoring system of the electric submersible pump unit has low data transmission efficiency, the intelligent degree of preprocessing of the data of the underground device of the system is low, and the state of the underground electric submersible pump unit is not subjected to predictive analysis. In addition, the aboveground device of the underground monitoring system of the electric submersible pump unit has single working content, only performs data liquid crystal display and simple data processing on data acquired by the underground device, and cannot vividly and intuitively reflect the working state of the underground monitoring device.
Disclosure of Invention
In view of this, the utility model provides an oily charge pump unit monitoring and failure prediction device of diving has not only realized the monitoring of a plurality of running state parameters of oily charge pump unit of diving, has realized the predictive analysis to its running state moreover.
In order to realize the aim, the utility model provides a submersible electric pump unit monitoring and failure prediction device, which comprises a downhole device, an aboveground device and an upper computer, wherein the downhole device is connected with the aboveground device through a three-phase cable, the upper computer is connected with the aboveground device, wherein,
the underground device comprises an underground communication module, an underground control module and an acquisition module,
the acquisition module acquires current running state information of the electric submersible pump unit in real time and sends the current running state information to the underground control module, wherein the current running state information comprises pressure data, temperature data and vibration acceleration data of the electric submersible pump unit;
the underground control module inputs the current operation state information of the electric submersible pump unit into a grey prediction neural network model to obtain predicted vibration acceleration data of the electric submersible pump unit in the next period, and if the vibration acceleration data of the electric submersible pump unit in the next period exceeds a preset vibration acceleration threshold value, all the obtained vibration acceleration data of the period are compressed, and the compressed vibration acceleration data are sent to the underground communication module;
the underground communication module is used for sending the compressed vibration acceleration data to the aboveground communication module;
the aboveground device comprises an aboveground control module and an aboveground communication module,
the aboveground communication module is used for sending the received compressed vibration acceleration data to the aboveground control module;
the aboveground control module decompresses the compressed vibration acceleration data to obtain all vibration acceleration data in the period and sends the vibration acceleration data to the upper computer;
and the upper computer performs fault prediction analysis on the electric submersible pump unit according to the acquired all vibration acceleration data of the period.
Preferably, the acquisition module comprises a temperature sensor, a pressure sensor and a vibration sensor;
the temperature sensor sends an analog signal of temperature data of the electric submersible pump unit to the underground control module, wherein the temperature data comprises the temperature of an underground device, the temperature of the electric submersible motor and the temperature of well fluid;
the pressure sensor sends an analog signal of pressure data of the electric submersible pump unit to the underground control module, wherein the pressure data of the electric submersible pump unit comprises well fluid pressure and pump outlet pressure;
and the vibration sensor sends the three-dimensional vibration acceleration value of the electric submersible pump unit to the underground control module.
Preferably, the temperature sensor for collecting the temperature of the submersible motor is arranged in the submersible motor and is sent to the underground device through the connecting terminal in a lead wire mode.
Preferably, the pressure sensor collecting said pump outlet pressure data is connected by a capillary line to a downhole device.
Preferably, the downhole control module comprises a network model unit and a judgment unit,
the network model unit inputs the received current running state information of the electric submersible pump unit into a grey prediction neural network model, and outputs the next period of predicted vibration acceleration data of the electric submersible pump unit through neural network calculation;
the judging unit is used for sending the current running state information of the electric submersible pump unit to the underground communication module when judging that the vibration acceleration data of the next period of the electric submersible pump unit is smaller than the vibration acceleration threshold value;
and the underground communication module is used for sending the current running state information of the electric submersible pump unit to the aboveground communication module.
Preferably, the uphole device also comprises a three-phase simulation module and a communication interface module,
the three-phase simulation module is used for acquiring the power supply voltage state information of the electric submersible pump unit and sending the information to the aboveground control module;
the aboveground communication module is used for sending the current running state information of the electric submersible pump unit to the aboveground control module;
and the aboveground control module sends the current running state information and the power supply voltage state information of the electric submersible pump unit to the upper computer through the communication interface module.
The downhole control module includes a compression unit,
the judging unit is used for sending all the acquired vibration acceleration data in the period to the compressing unit when judging that the vibration acceleration data of the next period of the electric submersible pump unit exceeds a preset vibration acceleration threshold value;
the compression unit is used for performing data compression processing on all the vibration acceleration data in the period through discrete cosine transform and sending the compressed vibration acceleration data to the underground communication module;
and the underground communication module stops the transmission of the temperature data of the electric submersible pump unit and sends the compressed vibration acceleration data and the compressed pressure data to the aboveground communication module.
Preferably, the aboveground communication module sends the received compressed vibration acceleration data and pressure data to the aboveground control module;
and the aboveground control module decompresses the compressed vibration acceleration data to obtain all vibration acceleration data in the period, and sends the vibration acceleration data, the pressure data and the power supply voltage state information to the upper computer through the communication interface module.
Preferably, the electrical submersible pump unit body is movably connected with the downhole device through a nut.
Compared with the prior art, the utility model provides an oily charge pump unit monitoring and failure prediction device dive, the beneficial effect who brings is: the utility model discloses a neural network algorithm carries out predictive analysis to the running state parameter of the oily charge pump unit of diving, has realized carrying out predictive analysis of trouble to oily charge pump unit of diving to make the user can in advance make the adjustment in time to the running state of oily charge pump unit of diving, acquire a plurality of running state parameters of oily charge pump unit of diving through the underground device, satisfy the user and master the demand of oily charge pump unit of diving under well multi-parameter, reduce the complicated link that the device acquires data on the well; the running state parameters of the electric submersible pump unit are visually displayed, so that the running state of the electric submersible pump unit can be visually displayed; the preprocessing of the data acquired by the underground device improves the intelligent degree of the underground device and provides the effectiveness and efficiency of the acquired data; the accuracy of oil well monitoring is improved, the remote instant test of the electric submersible pump unit is realized, and the service life of the electric submersible pump unit is prolonged.
Drawings
Fig. 1 is a system schematic diagram of an electrical submersible pump assembly monitoring and fault prediction apparatus according to an embodiment of the present invention.
Fig. 2 is a thermal profile of real-time operating conditions according to one embodiment of the present invention.
Detailed Description
The present invention will be described in detail with reference to the specific embodiments shown in the drawings, but the embodiments are not limited to the present invention, and structural, methodological, or functional changes made by those skilled in the art according to the embodiments are included in the scope of the present invention.
In one embodiment of the present invention, as shown in fig. 1, the present invention provides a device for monitoring and predicting failure of an electrical submersible pump unit, the device comprises a downhole device 1, an uphole device 2 and an upper computer 3, the downhole device 1 and the uphole device 2 are connected by a three-phase cable, the upper computer 3 is connected with the uphole device 2, wherein,
the downhole device 1 comprises an acquisition module 10, a downhole control module 11 and a downhole communication module 12, wherein,
the acquisition module 10 acquires current running state information of the electric submersible pump unit in real time and sends the current running state information to the underground control module 11, wherein the current running state information comprises pressure data, temperature data and vibration acceleration data of the electric submersible pump unit;
the underground control module 11 inputs the current operation state information of the electrical submersible pump unit into a grey prediction neural network model to obtain predicted vibration acceleration data of the electrical submersible pump unit in the next period, and if the vibration acceleration data of the electrical submersible pump unit in the next period exceeds a preset vibration acceleration threshold value, all the obtained vibration acceleration data of the period are compressed, and the compressed vibration acceleration data are sent to the underground communication module 12;
the underground communication module 12 is used for sending the compressed vibration acceleration data to the aboveground communication module 20;
the uphole device 2 includes an uphole communication module 20 and an uphole control module 21, wherein,
the aboveground communication module 20 is used for sending the received compressed vibration acceleration data to the aboveground control module 21;
the aboveground control module 21 decompresses the compressed vibration acceleration data to obtain all vibration acceleration data in the period, and sends the vibration acceleration data to the upper computer 3;
and the upper computer 3 is used for carrying out fault prediction analysis on the electric submersible pump unit according to all the acquired vibration acceleration data of the period.
The underground device comprises an underground communication module, an underground control module and an acquisition module. The acquisition module acquires the current running state information of the electric submersible pump unit in real time and sends the information to the underground control module. The acquisition module comprises a temperature sensor, a pressure sensor and a vibration sensor. The temperature sensor collects analog signals of temperature data of the electric submersible pump unit and sends the analog signals to the underground control module. The temperature data includes downhole device temperature, submersible motor temperature, and well fluid temperature. The temperature data of the underground device and the well fluid temperature data of the electric submersible pump unit are acquired by a temperature sensor arranged on the underground device. The temperature sensor of the submersible motor is installed inside the submersible motor, and the submersible motor can be timely collected by sending the submersible motor into the underground device through the connecting terminal in a lead wire mode. The pressure sensor collects analog signals of pressure data of the electric submersible pump unit and sends the analog signals to the underground control module. The pressure data of the electric submersible pump unit comprises well fluid pressure and pump outlet pressure. And the well fluid pressure data of the electric submersible pump unit is acquired by a pressure sensor arranged on the underground device. And a pressure sensor for collecting the pump outlet pressure data is connected to a downhole device through a capillary line. The vibration data is collected by a vibration sensor mounted on the downhole device. The vibration sensor collects three-dimensional vibration acceleration values of the electric submersible pump unit and sends the three-dimensional vibration acceleration values to the underground control module. Data acquisition is carried out through the acquisition module, and the temperature, the pressure and the vibration acceleration data of the electric submersible pump unit can be obtained in time, so that the running state of the electric submersible pump unit can be known in time.
And the underground control module performs fault prediction analysis on the current operation state information of the electric submersible pump unit based on a grey prediction neural network algorithm. The method comprises the steps of constructing a large amount of running state information of the electric submersible pump unit as a training sample, wherein the running state information comprises temperature data, pressure data and vibration data of the electric submersible pump unit, carrying out sample training by utilizing a grey prediction neural network algorithm to obtain a grey prediction neural network model, outputting vibration acceleration data of the next period of the electric submersible pump unit through the grey prediction neural network model, and carrying out predictive analysis on the running state of the electric submersible pump unit.
Specifically, the downhole control module comprises a network model unit and a judgment unit. And the network model unit inputs the received current operation state information of the electric submersible pump unit into a grey prediction neural network model, wherein the current operation state information comprises pressure data, temperature data and vibration acceleration data of the electric submersible pump unit, and the next period of vibration acceleration data of the electric submersible pump unit is output and obtained through calculation of a neural network. And when the judging unit judges that the vibration acceleration data of the next period of the electric submersible pump unit is smaller than a preset vibration acceleration threshold value, the current running state information of the electric submersible pump unit is sent to the underground communication module. The vibration acceleration threshold may set a vibration acceleration value at which the motor operates normally. And the underground communication module sends the current running state information of the electric submersible pump unit to the aboveground communication module. The underground device transmits the pressure data, the temperature data and the vibration acceleration speed data of the submersible electric pump unit which are acquired in real time to the aboveground device. And when the vibration acceleration data of the next period of the electric submersible pump unit is smaller than a preset vibration acceleration threshold value, predicting the current running state of the electric submersible pump unit to be a normal state, and transmitting the running state information acquired in real time to the underground device.
The uphole device also includes a three-phase simulation module 22 and a communication interface module 23. And the three-phase simulation module collects the power supply voltage state information of the electric submersible pump unit and sends the power supply voltage state information to the aboveground control module. And the aboveground communication module sends the acquired current running state information of the electric submersible pump unit to the aboveground control module. And the aboveground control module sends the current running state information and the power supply voltage state information of the electric submersible pump unit to the upper computer through the communication interface module. And the aboveground device and the upper computer are in data communication through an RS232 communication interface. And the upper computer performs visual display on the acquired pressure data, temperature data, vibration acceleration data and voltage of the electric submersible pump unit. The wireless embedded computer can be used for uploading pressure data, temperature data, vibration acceleration data, power supply voltage state information and other data of the electric submersible pump unit to the cloud server.
According to an embodiment of the present invention, the downhole control module comprises a compression unit. And when the judging unit judges that the vibration acceleration data of the next period of the electric submersible pump unit exceeds a preset vibration acceleration threshold value, all the acquired vibration acceleration data in the period are sent to the compressing unit. A typical set period is one hour. And the compression unit performs data compression processing on all the vibration acceleration data in the period through discrete cosine transform, and sends the compressed vibration acceleration data to the underground communication module. And the underground communication module stops the transmission of the temperature data of the electric submersible pump unit and sends the compressed vibration acceleration data and pressure data to the aboveground communication module. And when the vibration acceleration data of the next period of the electric submersible pump unit exceeds a preset vibration acceleration threshold value, predicting the current running state of the electric submersible pump unit to be an abnormal state, and transmitting the collected vibration data of the period to an aboveground device by the underground device for fault prediction analysis. Because the data bulk of the vibration data of a cycle is big, consequently the utility model discloses a data compression handles's mode, compresses data, improves data transmission's efficiency.
And the aboveground communication module of the aboveground device sends the received compressed vibration acceleration data and pressure data to the aboveground control module. And the aboveground control module decompresses the compressed vibration acceleration data to obtain all vibration acceleration data in the period, and the vibration acceleration data, the pressure data and the power supply voltage state information are sent to the upper computer through the communication interface module. And the upper computer acquires all vibration acceleration data in the period, performs fault prediction analysis on the electric submersible pump unit and performs real-time monitoring on the state of the electric submersible pump unit. And the operation state of the submersible electric pump unit is subjected to predictive research and fault pre-detection by analyzing the acceleration data, and field personnel are prompted to timely adjust the operation state of the submersible electric pump unit in advance.
According to the utility model discloses a concrete embodiment, the device still includes digital analog conversion module in the pit, will the analog signal of the oily temperature data of charge pump unit of diving that collection module gathered carries out analog-to-digital conversion with the analog signal of pressure data, with the digital signal of the oily temperature data of charge pump unit of diving after the conversion and the digital signal transmission of pressure data to control module in the pit. The underground device further comprises a voltage stabilizing module, the voltage stabilizing module is connected with the underground communication module, the underground communication module is further used for obtaining a power supply from the underground device and providing the power supply for the underground device, the voltage stabilizing module comprises a voltage stabilizing diode, an inductor and a capacitor, the inductor and the capacitor form a resonant circuit, and the resonant circuit is connected to a motor winding of the electric submersible pump unit.
According to the utility model discloses a concrete embodiment, oily charge pump unit body pass through the nut with device swing joint in the pit. Through this swing joint, easy to assemble and dismantlement, long service life.
According to the utility model discloses a concrete embodiment, the device still includes filtering module, surge protection module and isolation coupling transformer on the well, filtering module respectively with control module and communication module on the well, surge protection module respectively with communication module on the well with it is connected to keep apart the coupling transformer, the coupling transformer is connected to the motor winding of oily electric pump unit of diving. The underground communication module is used for transmitting power to the underground communication module through a three-phase power cable so as to provide power for the underground device.
The host computer can realize carrying out visual show to the operating condition state of diving oily charge pump unit. The upper computer comprises a data image simulation module, a visual monitoring network model module and an output module, wherein the data image simulation module constructs the well fluid pressure, the well fluid temperature, the temperature of a downhole device, the temperature of the submersible motor and the state information of the power supply voltage of the submersible electric pump unit into parameters of a finite element simulation model; coupling finite element simulation of the magnetic field, the temperature field and the fluid field of the submersible motor is carried out by utilizing the parameters, thermal distribution maps of the submersible motor in different working states are obtained through a large number of finite element modeling simulations, and a thermal distribution map library of the submersible motor is integrated. The visual monitoring network model module performs data fusion on a thermal distribution map in an electrical submersible pump thermal distribution map library and well fluid pressure, well fluid temperature, underground device temperature, electrical submersible pump temperature and power supply voltage state information of an electrical submersible pump unit, and the thermal distribution map is used as an input training sample of a Keras-improved antagonistic neural network, and the training sample is trained to generate a visual monitoring network model which can perform visual monitoring on the real-time state of the electrical submersible pump unit. The output module inputs the acquired current well fluid pressure, well fluid temperature, underground device temperature, submersible motor temperature and power supply voltage state information of the submersible electric pump unit into the visual monitoring network model, and outputs and displays a thermal distribution map of the submersible electric pump unit in the current running state, so that the real-time state of the submersible electric pump unit can be visually displayed and visualized. As shown in fig. 2, the present invention relates to a thermal distribution display of real-time operation status of a specific submersible electric pump assembly.
Based on the utility model discloses, a monitoring of latent oily charge pump unit and failure prediction method is provided, include:
the method comprises the steps that a downhole device collects current running state information of an electric submersible pump unit in real time, wherein the current running state information comprises pressure data, temperature data and vibration acceleration data of the electric submersible pump unit;
the underground device inputs the current operation state information of the electric submersible pump unit into a grey prediction neural network model to obtain predicted vibration acceleration data of the electric submersible pump unit in the next period, if the vibration acceleration data of the electric submersible pump unit in the next period exceeds a preset vibration acceleration threshold value, all the obtained vibration acceleration data of the period are compressed, and the compressed vibration acceleration data are sent to the underground device;
the aboveground device decompresses the compressed vibration acceleration data to obtain all vibration acceleration data in the period and sends the vibration acceleration data to an upper computer;
and the upper computer performs fault prediction analysis on the electric submersible pump unit according to all the acquired vibration acceleration data of the period.
The underground device collects the current running state information of the electric submersible pump unit in real time, and collects the temperature data, the pressure data and the vibration acceleration data of the electric submersible pump unit through a temperature sensor, a pressure sensor, a vibration sensor and the like. The temperature data includes downhole device temperature, submersible motor temperature, and well fluid temperature. The pressure data includes well fluid pressure and pump outlet pressure.
And inputting the current running state information of the electric submersible pump unit received by the underground device into a grey prediction neural network model, and outputting the next period of predicted vibration acceleration data of the electric submersible pump unit. And if the vibration acceleration data of the next period of the electric submersible pump unit is smaller than a preset vibration acceleration threshold value, sending the current running state information of the electric submersible pump unit to the aboveground device, and acquiring the voltage of the electric submersible pump unit by the aboveground device. And the well device sends the acquired current running state information of the electric submersible pump unit to the upper computer. And the upper computer visually displays the acquired pressure data, temperature data, vibration acceleration data and power supply voltage state information of the electric submersible pump unit.
And when the vibration acceleration data of the next period of the electric submersible pump unit exceeds a preset vibration acceleration threshold value, performing data compression processing on all the vibration acceleration data in the period through discrete cosine transform, stopping the transmission of the temperature data of the electric submersible pump unit, and sending the vibration acceleration data and the pressure data to an aboveground device. And the aboveground device decompresses the received compressed vibration acceleration data to obtain all vibration acceleration data in the period, and sends the vibration acceleration data, the pressure data and the power supply voltage state information to the upper computer through a communication interface. And the upper computer acquires all vibration acceleration data in the period, performs fault prediction analysis on the electric submersible pump unit and performs real-time monitoring on the state of the electric submersible pump unit.
The upper computer visually displays the acquired submersible electric pump unit, specifically, well fluid pressure, well fluid temperature, underground device temperature, submersible motor temperature and power supply voltage state information of the submersible electric pump unit are constructed into parameters of a finite element simulation model, coupling finite element simulation is carried out by utilizing the parameters, thermal distribution maps of the submersible motor in different working states are obtained, and a submersible motor thermal distribution map library is integrated; carrying out data fusion on a thermal distribution map in an electrical submersible motor thermal distribution map library and well fluid pressure, well fluid temperature, underground device temperature, electrical submersible motor temperature and power supply voltage state information of the electrical submersible pump unit, using the data fusion as an input training sample of a Keras-based improved antagonistic neural network, training the training sample, and generating a visual monitoring network model; and inputting the acquired current well fluid pressure, well fluid temperature, underground device temperature, submersible motor temperature and power supply voltage state information of the submersible electric pump unit to the visual monitoring network model, and outputting and displaying a thermal distribution map of the submersible electric pump unit in the current operation state.
Although the preferred embodiments of the present invention have been disclosed for illustrative purposes, those skilled in the art will appreciate that various modifications, additions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims.
Claims (9)
1. The device for monitoring and predicting the fault of the electric submersible pump unit is characterized by comprising a downhole device, an aboveground device and an upper computer, wherein the downhole device is connected with the aboveground device through a three-phase cable, the upper computer is connected with the aboveground device, and the underground device and the aboveground device are connected with each other,
the underground device comprises an underground communication module, an underground control module and an acquisition module,
the acquisition module acquires current running state information of the electric submersible pump unit in real time and sends the current running state information to the underground control module, wherein the current running state information comprises pressure data, temperature data and vibration acceleration data of the electric submersible pump unit;
the underground control module inputs the current operation state information of the electric submersible pump unit into a grey prediction neural network model to obtain predicted vibration acceleration data of the electric submersible pump unit in the next period, and if the vibration acceleration data of the electric submersible pump unit in the next period exceeds a preset vibration acceleration threshold value, all the obtained vibration acceleration data of the period are compressed, and the compressed vibration acceleration data are sent to the underground communication module;
the underground communication module is used for sending the compressed vibration acceleration data to the aboveground communication module;
the aboveground device comprises an aboveground control module and an aboveground communication module,
the aboveground communication module is used for sending the received compressed vibration acceleration data to the aboveground control module;
the aboveground control module decompresses the compressed vibration acceleration data to obtain all vibration acceleration data in the period and sends the vibration acceleration data to the upper computer;
and the upper computer performs fault prediction analysis on the electric submersible pump unit according to the acquired all vibration acceleration data of the period.
2. The electrical submersible pump assembly monitoring and fault prediction apparatus of claim 1, wherein the collection module comprises a temperature sensor, a pressure sensor, and a vibration sensor;
the temperature sensor sends an analog signal of temperature data of the electric submersible pump unit to the underground control module, wherein the temperature data comprises the temperature of an underground device, the temperature of the electric submersible motor and the temperature of well fluid;
the pressure sensor sends an analog signal of pressure data of the electric submersible pump unit to the underground control module, wherein the pressure data of the electric submersible pump unit comprises well fluid pressure and pump outlet pressure;
and the vibration sensor sends the three-dimensional vibration acceleration value of the electric submersible pump unit to the underground control module.
3. The electrical submersible pump assembly monitoring and fault prediction apparatus of claim 2 wherein the temperature sensor that collects the temperature of the submersible motor is mounted inside the submersible motor and fed into the downhole device by way of a lead through a connection terminal.
4. The electrical submersible pump assembly monitoring and fault prediction device of claim 2 where the pressure sensor that collects the pump outlet pressure data is connected to a device installed downhole via a capillary line.
5. The electrical submersible pump assembly monitoring and fault prediction apparatus of claim 2, wherein the downhole control module comprises a network model unit and a determination unit,
the network model unit inputs the received current running state information of the electric submersible pump unit into a grey prediction neural network model, and outputs the next period of predicted vibration acceleration data of the electric submersible pump unit through neural network calculation;
the judging unit is used for sending the current running state information of the electric submersible pump unit to the underground communication module when judging that the vibration acceleration data of the next period of the electric submersible pump unit is smaller than the vibration acceleration threshold value;
and the underground communication module is used for sending the current running state information of the electric submersible pump unit to the aboveground communication module.
6. The electrical submersible pump assembly monitoring and fault prediction apparatus of claim 5, wherein the uphole device further comprises a three-phase simulation module and a communication interface module,
the three-phase simulation module is used for acquiring the power supply voltage state information of the electric submersible pump unit and sending the information to the aboveground control module;
the aboveground communication module is used for sending the acquired current running state information of the electric submersible pump unit to the aboveground control module;
and the aboveground control module sends the current running state information and the power supply voltage state information of the electric submersible pump unit to the upper computer through the communication interface module.
7. The electrical submersible pump assembly monitoring and fault prediction apparatus of claim 6, wherein the downhole control module comprises a compression unit,
the judging unit is used for sending all the acquired vibration acceleration data in the period to the compressing unit when judging that the vibration acceleration data of the next period of the electric submersible pump unit exceeds a preset vibration acceleration threshold value;
the compression unit is used for performing data compression processing on all the vibration acceleration data in the period through discrete cosine transform and sending the compressed vibration acceleration data to the underground communication module;
and the underground communication module stops the transmission of the temperature data of the electric submersible pump unit and sends the compressed vibration acceleration data and the compressed pressure data to the aboveground communication module.
8. The electrical submersible pump assembly monitoring and fault prediction apparatus of claim 7 wherein the uphole communication module sends the acquired compressed vibration acceleration data and pressure data to the uphole control module;
and the aboveground control module decompresses the compressed vibration acceleration data to obtain all vibration acceleration data in the period, and sends the vibration acceleration data, the pressure data and the power supply voltage state information to the upper computer through the communication interface module.
9. The electrical submersible pump unit monitoring and fault prediction device of claim 1 where the electrical submersible pump unit body is movably connected to the downhole device by a nut.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113569495A (en) * | 2021-09-26 | 2021-10-29 | 中国石油大学(华东) | Electric submersible pump well fault hazard prediction method |
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| CN113569495A (en) * | 2021-09-26 | 2021-10-29 | 中国石油大学(华东) | Electric submersible pump well fault hazard prediction method |
| CN113569495B (en) * | 2021-09-26 | 2021-11-26 | 中国石油大学(华东) | Electric submersible pump well fault hazard prediction method |
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