Pumping well system for cloud intelligent remote frequency conversion adjustment

Abstract

The invention relates to the technical field of oil pumping equipment, in particular to a cloud intelligent remote frequency conversion adjusting oil pumping well system which comprises an Internet of Things cloud platform, a communication module and an oil pumping unit collection control module. The Internet of Things cloud platform is used for collecting and filtering dynamic data of operation of the oil pumping unit, comprehensively analyzing the data, determining a frequency conversion control mechanism of the oil pumping unit and performing remote control; the communication module is used for connecting the Internet of Things cloud platform and the oil pumping unit acquisition control module and uploading and issuing information; the oil pumping unit collection control module is used for collecting changes of loads, displacement and oil pumping unit three-phase electrical parameters and receiving instructions to adjust the operation frequency of an oil pumping unit motor. The pumping unit can run in a low-stroke-frequency and long-stroke running state as much as possible, the stroke frequency is controlled within a reasonable pump efficiency interval, unnecessary pumping stopping time is shortened, and the purposes of high yield and high efficiency are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of oil pumping equipment, and is a cloud-based intelligent remote frequency conversion regulation oil well system and method. Background Art

[0002] In the field of oil and gas field exploitation, most of the oil fields in the middle and late stages of oil field exploitation are low-permeability, low-yield, and low-energy oil fields. There is a phenomenon of insufficient liquid supply during the pumping process. Due to continuous pumping, the oil well production level continues to drop, which leads to the phenomenon of empty pumping. This not only increases energy consumption, but also reduces the efficiency of oil pumping.

[0003] To solve the above problems, the research focus of domestic enterprises is to install relevant sensors to perceive the dynamic changes of oil well loads and adopt various algorithms of field controllers to realize intelligent intermittent pumping control. However, the implementation of oil well liquid level monitoring instruments in each oil well has high one-time investment costs and is difficult to use and maintain. Therefore, it has not been widely used in oil fields and can only be used on some oil wells for trial use. It is impossible to achieve large-scale intelligent intermittent pumping and adjust the pumping frequency, and it is difficult to promote it.

[0004] In conventional oil well pumping operations, manual intermittent pumping is usually used to solve the problems of inefficiency and waste of pumping units. This practice requires sending people to the well site several times a day to operate, and it takes a long period of testing to find out the intermittent pumping rules suitable for each oil well, which is labor-intensive and time-consuming. Therefore, fixed-time pumping is adopted, and the start and stop time are set for automatic intermittent pumping control. However, it is still impossible to dynamically respond to changes in oil well loads to achieve the best energy-saving effect. At the same time, it may also affect the production of oil wells. Problems such as reduced pumping efficiency and increased energy consumption often occur due to inaccurate manual judgment of the timing of intermittent pumping.

[0005] For example, in the invention patent with publication number CN106285572A and titled “An intelligent intermittent pumping control device for an oil pumping unit and its control method”, an intelligent intermittent pumping control device for an oil pumping unit is disclosed, which includes an intermittent pumping controller, an electrical control box, a displacement sensor, a load sensor, and a wireless antenna; the displacement sensor measures the displacement at the oil pumping unit's bare rod and is connected to the intermittent pumping controller; the load sensor measures the load at the oil pumping unit's bare rod and is connected to the intermittent pumping controller; the intermittent pumping controller is connected to the electrical control box, and the intermittent pumping controller includes: a power supply module, a communication module, a control module, and an electrical power module; the electrical power module collects the current, voltage, and power during the operation of the oil pumping unit and sends them to the control module; the communication module is connected to the wireless antenna, and the control module obtains the start and stop information of the oil pumping unit according to the load and displacement at the oil pumping unit's bare rod and sends the start and stop commands to the electrical control box; the electrical control box includes a power supply unit and a frequency converter, which realizes the start and stop of the oil pumping unit and the stroke frequency adjustment according to the commands of the intermittent pumping controller. However, the device does not accurately adjust its intermittent pumping strategy according to the actual permeability conditions of the low-permeability oilfield. The control adjustment parameters it obtains have certain delays and errors, and it is unable to accurately judge the actual permeability conditions and oil storage recovery conditions of the oilfield, and thus is unable to make an optimal and intelligently adjustable intermittent pumping cycle control strategy.

[0006] For example, the invention patent with publication number CN114688009A and titled "A beam pumping unit intelligent intermittent pumping control system and control method thereof" discloses an intelligent intermittent pumping control system and control method thereof for beam pumping units, which collects equipment parameters and oilfield parameters and processes them according to the cloud computing unit, receives data collected by the intelligent sensing unit and pre-processed by the edge computing unit, and predicts the intermittent pumping cycle control strategy. However, this technology does not take into account the low-cost Internet of Things construction in oil fields, does not use simplified gateways and energy-saving controllers based on oil well collection and control, and needs to purchase a large number of edge computing controllers at the site of tens of thousands of oil wells, increasing the investment cost of the Internet of Things; in terms of control strategy, it does not analyze and compare with oil well metering and power diagram analysis and three-phase electrical parameter data, and the control adjustment parameters obtained have certain delays and errors, and cannot accurately judge the actual production changes of oil wells and the operation of pumping equipment, so it is impossible to make the optimal and intelligently adjustable intermittent pumping cycle control strategy.

[0007] Therefore, in view of the defects existing in the above-mentioned prior art, it is necessary to develop and design an oil well pumping system that can remotely adjust the oil well production changes and stroke frequency by frequency conversion to solve the above-mentioned technical problems. Summary of the invention

[0008] The present invention provides a cloud-based intelligent remote frequency conversion regulation oil well pumping system and method, which overcomes the deficiencies of the above-mentioned prior art and can effectively solve the problems of low pump efficiency and great management difficulty of traditional oil pumping system.

[0009] One of the technical solutions of the present invention is achieved by the following measures: a cloud-based intelligent remote frequency conversion regulation oil pumping well system, including an Internet of Things cloud platform, a communication module and an oil pumping unit acquisition control module; Among them, the IoT cloud platform is used to collect and filter the dynamic data of the oil pumping unit, conduct comprehensive analysis of the data, determine the variable frequency control mechanism of the oil pumping unit, and perform remote control; Among them, the communication module is used to connect the Internet of Things cloud platform and the oil pumping unit collection control module to upload and issue information; Among them, the oil pumping unit data collection control module is used to collect changes in load, displacement and three-phase electrical parameters of the oil pumping unit, and receive instructions to adjust the operating frequency of the oil pumping unit motor.

[0010] The following is a further optimization and / or improvement of one of the above-mentioned technical solutions: The above-mentioned IoT cloud platform may include a real-time data acquisition module, an algorithm module and a remote control module; Among them, the real-time data acquisition module is used to collect the dynamic data of the oil pumping unit operation and filter the collected real-time data; Among them, the algorithm module is used to conduct comprehensive analysis of the data and determine the variable frequency control mechanism of the oil pumping unit; Among them, the remote control module is used for remote control.

[0011] The above-mentioned remote control module may include an automatic interlocking control submodule and a manual remote control submodule, the automatic interlocking control submodule is used for performing automatic interlocking control, and the manual remote control submodule is used for performing manual remote control.

[0012] The above-mentioned communication module can be an intelligent integrated industrial gateway.

[0013] The above-mentioned oil pumping unit data collection control module may include an oil pumping unit motor, a frequency conversion regulator and a wireless data collection instrument; Among them, the oil pumping unit motor is used to drive the oil pumping unit to operate; Among them, the frequency converter is used to receive the command of the remote control module and adjust the operating frequency of the pumping unit motor; Among them, the wireless data acquisition instrument is used to collect changes in load, displacement and three-phase electrical parameters of the pumping unit.

[0014] The second technical solution of the present invention is achieved by the following measures: A cloud-based intelligent remote frequency conversion adjustment method for an oil well pumping system comprises the following steps: Determine the frequency adjustment range, set the maximum and minimum values, and perform frequency conversion adjustment within this range; Conduct operation status diagnosis and eliminate abnormal conditions, including instrument abnormalities such as constant parameter value and drift, and production abnormalities such as broken belts and sucker rods; Analyze production data and determine the triggering conditions for frequency conversion regulation; Different frequency conversion operations are performed according to different triggering conditions. For example, if the liquid supply is insufficient or the fullness of the indicator diagram is too low, the frequency reduction operation is performed. If the adjustment is not triggered for a long time or the fullness of the indicator diagram is high, the frequency increase operation is performed. After the operation is completed, the power diagram area is monitored in real time, and according to the change of the power diagram area, it is determined whether to continue to adjust or return to the last state until the system is stable.

[0015] The following is a further optimization and / or improvement of the second technical solution of the above invention: The trigger conditions may include a decrease in production, a change in the power diagram area, a power diagram diagnostic analysis result, a pumping unit load condition, and an efficiency of one hundred meters per ton of oil.

[0016] The control strategy can adopt the segmented control method of measured value and set deviation, adjust the pumping unit to set several operating ranges, and set different actions and filtering times in each operating range according to the corresponding dynamometer diagram fullness and dynamometer diagram diagnostic analysis in each operating range.

[0017] It can collect dynamometer data and three-phase current, voltage, and power production data, and diagnose the working condition changes of downhole equipment of the rod pumping system in real time in combination with the real-time changes in oil well production. It can intervene in advance to remotely and automatically adjust the operating frequency to achieve automatic changes in production parameters and adjust the operating status of the pumping unit. It can make the pumping unit operate as low-stroke and long-stroke as possible, maintain a reasonable pump efficiency range, and control the stroke frequency.

[0018] It can include automatic interlocking control mode and manual remote control mode; In the automatic interlocking control mode, the real-time data acquisition module automatically sends control instructions to the pumping unit acquisition control module to realize the variable frequency adjustment of the pumping unit. After the instructions are sent, the pumping unit acquisition control module feedbacks the execution status and controls the execution effect through real-time data analysis. In the manual remote control mode, the analysis results are fed back to the user, the user manually issues control instructions, and the system monitors the execution of the instructions.

[0019] The present invention uses a communication gateway for industrial-grade data conversion, which is connected to the Internet of Things cloud platform upwards and to the frequency converter and other control equipment of the pumping well downwards to upload and issue information, and has the functions of data collection, remote control of industrial field equipment, protocol conversion, wireless / wired data transmission, communication management, etc. Considering energy saving and output, the Internet of Things cloud platform collects the dynamometer data and source production data, diagnoses the working condition changes of the downhole equipment of the rod pumping system in real time, intervenes in advance to remotely and automatically adjust the operating frequency, realizes the automatic change of production parameters, adjusts the operating state of the pumping unit, makes the pumping unit run as low as possible and long stroke, maintains within a reasonable pump efficiency range, controls the strokes, reduces unnecessary pumping stop time, and produces the most liquid per unit time on average, thereby achieving the purpose of high production and high efficiency. The communication transmission mode of the present invention is diversified and adaptable to various industrial environments. It combines multiple communication modes such as WIFI, Ethernet, 4G, etc., connects to the Internet of Things cloud platform upward, and connects to the pumping well frequency converter and its load displacement, three-phase electrical parameters and other wireless instruments downward. It is compatible with intelligent equipment and instruments with various interfaces such as RS232\RS485\RS422\Ethernet, etc. The frequency converter can control the running speed of the pumping unit motor and adjust it according to the actual situation on site. The operation process is simple, the difficulty is low, and it is not easy to make human errors. It can play a certain buffering role in the consumption of costs, save unnecessary waste, and improve the working efficiency of the motor. The present invention is economical and feasible, reliable in operation, and has good energy-saving effects. It has better solved the problems of low pump efficiency and high management difficulty of traditional pumping unit systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a structural schematic diagram of a cloud-based intelligent remote frequency conversion regulation oil well pumping system according to an embodiment of the present invention.

[0021] The codes in the attached figure are: 1 is the Internet of Things cloud platform, 2 is the integrated industrial gateway, 3 is the oil pumping unit acquisition control module, 11 is the real-time data acquisition module, 12 is the algorithm module, 13 is the remote control module, 31 is the oil pumping unit motor, 32 is the frequency converter, and 33 is the wireless acquisition instrument. DETAILED DESCRIPTION

[0022] The present invention is not limited by the following embodiments, and specific implementation methods can be determined based on the technical solution of the present invention and actual conditions.

[0023] The present invention will be further described below in conjunction with embodiments and drawings: Embodiment 1: As attached Figure 1 As shown, the cloud-based intelligent remote frequency conversion regulation oil well pumping system includes an Internet of Things cloud platform 1, a communication module and an oil pumping unit acquisition control module 3; Among them, the Internet of Things cloud platform 1 is used to collect and filter the dynamic data of the oil pumping unit, conduct a comprehensive analysis of the data, determine the variable frequency control mechanism of the oil pumping unit, and perform remote control; Among them, the communication module is used to connect the Internet of Things cloud platform and the oil pumping unit collection control module to upload and issue information; The oil pumping unit data acquisition control module 3 is used to collect changes in load, displacement and three-phase electrical parameters of the oil pumping unit, and to receive instructions to adjust the operating frequency of the oil pumping unit motor.

[0024] The embodiments of the present invention focus on solving the following technical problems of remote intelligent frequency conversion control of low-yield and low-energy oil wells under the low-cost Internet of Things model and achieve the following purposes: using an industrial-grade data conversion communication gateway to connect to the Internet of Things cloud platform upward and to connect to the pumping well frequency conversion regulator and other control equipment downward to upload and issue information, and having functions such as data collection, remote control of industrial field equipment, protocol conversion, wireless / wired data transmission, and communication management.

[0025] The embodiments of the present invention also have the following beneficial effects: (1) Diversified communication transmission modes: adapting to various industrial environments, combining WIFI, Ethernet, 4G and other communication modes, connecting to the Internet of Things cloud platform upward, connecting to the pumping well frequency converter and its load displacement, three-phase electrical parameters and other wireless instruments downward, and being compatible with intelligent equipment and instruments with various interfaces such as RS232\RS485\RS422\Ethernet. (2) The frequency converter can control the running speed of the pumping motor and adjust it according to the actual situation on site. The operation process is simple, the difficulty is low, and it is not easy to make human errors. It can play a certain buffering role in cost consumption, save unnecessary waste, and improve the working efficiency of the motor. (3) The control system based on the Internet of Things cloud platform scientifically and reasonably adjusts the production parameters to maintain the good operation state of the pumping well mechanical production system, and realizes the ideal improvement of the optimization of the pumping well mechanical production efficiency; the embodiments of the present invention are economically feasible, reliable in operation, and have good energy-saving effects. It has better solved the problems of low pump efficiency and high management difficulty of the traditional pumping system.

[0026] Embodiment 2: As attached Figure 1 As shown, in the cloud-based intelligent remote frequency conversion regulation oil well system, specifically, the Internet of Things cloud platform 1 includes a real-time data acquisition module 11, an algorithm module 12 and a remote control module 13; The real-time data acquisition module 11 is used to collect the dynamic data of the oil pumping unit and filter the collected real-time data. Specifically, by configuring the collection information, collection parameters, etc., the real-time data acquisition module 11 is connected with the on-site oil pumping unit collection control module to collect the dynamic data of the oil pumping unit efficiently, and the collected real-time data is filtered to eliminate the interference of invalid values ​​and null values.

[0027] Among them, the algorithm module 12 is used to conduct a comprehensive analysis of the data and determine the variable frequency control mechanism of the oil pump. Specifically, it makes full use of the existing software and hardware conditions to determine the variable frequency control mechanism of the oil pump by comprehensively analyzing the oil well production, wellhead data, static data, power diagram data, and oil pump operation data. First, determine the stroke adjustment range, give the maximum and minimum values, and perform frequency adjustment within this range. At the same time, in view of the complexity of the actual production situation, it is necessary to perform operation status diagnosis to eliminate instrument abnormalities such as constant parameter value and drift, and production abnormalities such as belt breakage and sucker rod breakage. Then analyze the production data to determine the trigger condition for variable frequency adjustment, which can be a reduction in production, a change in the power diagram area, a power diagram diagnosis analysis result, the load of the oil pump, and the efficiency of 100 meters per ton of oil. According to different triggering conditions, different frequency conversion operations are performed, such as insufficient liquid supply or low fullness of the indicator diagram, a frequency reduction operation is performed, and a frequency increase operation is performed if the adjustment is not triggered for a long time or the indicator diagram is full. After the operation is completed, the power diagram area is monitored in real time, and according to the change in the power diagram area, it is determined whether to continue to adjust or return to the previous state until the system is stable. During the entire adjustment process, the smooth operation of the oil pump is fully considered to avoid excessive and frequent adjustments.

[0028] Among them, the remote control module 13 is used for remote control, and can perform automatic interlocking control and manual remote control. The remote control module 13 includes an automatic interlocking control submodule and a manual remote control submodule. The automatic interlocking control submodule is used for automatic interlocking control, and the manual remote control submodule is used for manual remote control. When using automatic interlocking control, according to the algorithm module, the real-time data acquisition module 11 automatically sends control instructions to the pumping unit acquisition control module to realize the variable frequency adjustment of the pumping unit; after the instructions are sent, the pumping unit acquisition control module feedbacks the execution status, and at the same time controls the execution effect through real-time data analysis. When using manual remote control, the analysis results are fed back to the user, and the user manually sends the control instructions, and the system monitors the execution of the instructions.

[0029] The Internet of Things cloud platform 1 is mainly used to collect and filter the dynamic data of the oil pumping unit operation, conduct comprehensive analysis of the data, determine the variable frequency control mechanism of the oil pumping unit, and perform remote control.

[0030] Embodiment 3: As attached Figure 1As shown, in the cloud-based intelligent remote frequency conversion regulation oil well system, specifically, the communication module can be an intelligent integrated industrial gateway 2, which is composed of a variety of communication interfaces, compatible with various interfaces such as RS232\RS485\RS422\Ethernet, and combined with WIFI, Ethernet, 4G, Lora, Zigbee and other communication methods. It has the ability to connect to the Internet of Things cloud platform upward and to connect to the oil well frequency conversion regulator and other control equipment downward to upload and issue information, and can be used for data collection, remote control of industrial field equipment, protocol conversion, wireless / wired data transmission and communication management.

[0031] The communication module is mainly used to connect the IoT cloud platform and the oil pumping unit acquisition control module to upload and issue information. The intelligent integrated industrial gateway 2 can be widely used in data collection and transmission of various production units such as oil wells, which can simplify the IoT data transmission layer and reduce the construction cost of the IoT.

[0032] Embodiment 4: As attached Figure 1 As shown, in the cloud-based intelligent remote variable frequency regulation oil pumping well system, specifically, the oil pumping unit acquisition control module 3 includes an oil pumping unit motor 31, a variable frequency regulator 32 and a wireless acquisition instrument 33. Among them, the oil pumping unit motor 31 is used to drive the oil pumping unit to operate; the variable frequency regulator 32 is used to receive instructions from the remote control module 13 and adjust the operating frequency of the oil pumping unit motor; the wireless acquisition instrument 33 is used to collect changes in load, displacement and three-phase electrical parameters of the oil pumping unit, and upload them to the real-time data acquisition module of the Internet of Things cloud platform through the intelligent integrated industrial gateway 2.

[0033] The oil pumping unit data acquisition control module 3 is mainly used to collect changes in load, displacement and three-phase electrical parameters of the oil pumping unit, and to receive instructions to adjust the operating frequency of the oil pumping unit motor.

[0034] Embodiment 5: The embodiment of the present invention provides a cloud-based intelligent remote frequency conversion adjustment method for an oil well system, comprising the following steps: Determine the frequency adjustment range, set the maximum and minimum values, and perform frequency conversion adjustment within this range; Conduct operation status diagnosis and eliminate abnormal conditions, including instrument abnormalities such as constant parameter value and drift, and production abnormalities such as broken belts and sucker rods; Analyze production data and determine the triggering conditions for frequency conversion regulation, which include reduction in production, changes in power diagram area, power diagram diagnostic analysis results, pumping unit load conditions, and 100-meter-ton-oil efficiency; Different frequency conversion operations are performed according to different triggering conditions. For example, if the liquid supply is insufficient or the fullness of the indicator diagram is too low, the frequency reduction operation is performed. If the adjustment is not triggered for a long time or the fullness of the indicator diagram is high, the frequency increase operation is performed. After the operation is completed, the power diagram area is monitored in real time, and according to the change of the power diagram area, it is determined whether to continue to adjust or return to the last state until the system is stable.

[0035] During the entire adjustment process, the smooth operation of the oil pump must be fully considered to avoid excessive and frequent adjustments.

[0036] The embodiments of the present invention focus on solving the following technical problems of remote intelligent frequency conversion control of low-yield and low-energy oil wells under the low-cost Internet of Things mode and achieve the following purposes: from the perspective of energy saving and output, the dynamometer data and source production data are collected through the Internet of Things cloud platform, and the working condition changes of the downhole equipment of the rod pumping system are diagnosed in real time. The remote automatic adjustment of the operating frequency is intervened in advance to realize the automatic change of production parameters, adjust the operating state of the pumping unit, and make the pumping unit operate as low-stroke and long-stroke as possible, maintain within a reasonable pump efficiency range, control the strokes, reduce unnecessary pumping stop time, and maximize the average liquid production per unit time, thereby achieving the purpose of high production and high efficiency.

[0037] Embodiment 6: In the cloud-based intelligent remote frequency conversion adjustment method for the pumping well system, the existing hardware and software conditions are fully utilized to determine the frequency conversion control mechanism of the pumping unit by comprehensively analyzing the oil well production, wellhead data, static data, power diagram data, and pumping unit operation data. First, the stroke adjustment range is determined, and the maximum and minimum values ​​are given, and the frequency conversion adjustment is performed within this range. According to the actual control operation experience on the oil field site, the fullness of the power diagram and the diagnostic analysis of the power diagram are usually used as the main basis for judging the pumping unit to adjust the stroke and alarm, and the production measurement is used as an auxiliary basis for judgment. The metering results of this oil well in the metering room are recorded, mainly including the changes in liquid production, gas-oil ratio, and water content. The data fitting function of MATLAB is used to realize the continuity of discrete data, establish the corresponding function, analyze and study the change trend of the function, and perform different frequency conversion operations according to different triggering conditions. For example, if the liquid supply is insufficient or the fullness of the power diagram is too low, the frequency reduction operation is performed, and if the adjustment is not triggered for a long time or the fullness of the power diagram is high, the frequency increase operation is performed. After the operation is completed, the power diagram area is monitored in real time, and according to the change of the power diagram area, it is determined whether to continue to adjust or return to the last state until the system is stable. The control strategy of the embodiment of the present invention adopts the segmented control method of the measured value and the set deviation, and adjusts the pumping unit to set several operating intervals, and then sets different actions and filter times in each operating interval according to the corresponding power diagram fullness and power diagram diagnostic analysis in each operating interval; in the embodiment of the present invention, the pumping unit is adjusted to set 4 operating intervals, namely the liquid supply recovery area, the potential improvement area, the fault handling area, and the alarm shutdown area. After the frequency conversion adjustment action, if the fullness of the power diagram and the production measurement lag behind the changes after the pumping unit stroke adjustment, inserting the self-learning waiting time can avoid frequent and unnecessary actions of the frequency conversion adjustment, and control no output within the allowable deviation range. The entire adjustment process fully considers the smoothness of the operation of the pumping unit to avoid excessive adjustment and frequent adjustment.

[0038] This is because in the middle and late stages of oilfield production, due to the complex formation environment and reduced production capacity, the downhole fluid supply during oil well production is affected by many factors, and insufficient fluid supply often occurs. The work system for pumping wells formulated based on experience is not scientific enough, and the workload of investigation and survey is huge. The set stroke value cannot keep the pump efficiency within a reasonable production range. Therefore, determining the reasonable stroke value of the pumping unit during operation is the key issue to achieve cost reduction and efficiency improvement in oilfields. In winter production management in the north, the pumping unit cannot be shut down for a long time to avoid freezing and blocking the surface pipeline of the oil well. The adjustment of the pumping unit needs to meet the following conditions: (1) Insufficient fluid supply capacity. When the downhole fluid supply capacity is insufficient, the pumping unit reduces the stroke operation to ensure non-stop operation and wait for the fluid supply to be restored, which is listed as the fluid supply recovery area. (2) Normal fluid supply capacity and pump condition. When the pump is full, increase the stroke value of the pumping unit so that the pumping unit is full within a reasonable range and the fluid production is increased, which is listed as the potential improvement area. (3) Normal fluid supply capacity and poor pump condition. When the downhole fluid supply capacity is normal and the pump efficiency is poor, the stroke frequency is reduced and the deep well pump fault information is pushed, which is listed as the fault handling area. (4) Deep well pump stuck, wax plugged, rod broken, belt broken. When an emergency fault occurs in the pumping well, the alarm is immediately shut down, which is listed as the alarm shutdown area.

[0039] The embodiment of the present invention takes energy saving and output into consideration, collects dynamometer data and source production data through the Internet of Things cloud platform, diagnoses the working condition changes of the downhole equipment of the rod pumping system in real time, intervenes in advance to remotely and automatically adjust the operating frequency, so as to realize automatic change of production parameters, adjust the operating state of the pumping unit, make the pumping unit operate in a low-stroke and long-stroke state as much as possible, maintain within a reasonable pump efficiency range, control the strokes, reduce unnecessary pumping stop time, and maximize the average liquid production per unit time, thereby achieving the purpose of high production and high efficiency.

[0040] Embodiment 7: In the cloud-based intelligent remote frequency conversion adjustment method for the oil pumping well system, the Internet of Things cloud platform collects dynamometer data and three-phase current, voltage, and power production data through the intelligent integrated industrial gateway, combines the real-time changes in oil well production, and diagnoses the working condition changes of the downhole equipment of the rod pumping system in real time, and intervenes in advance to remotely and automatically adjust the operating frequency to achieve automatic changes in production parameters and adjust the operating status of the oil pumping unit, so that the oil pumping unit can operate as low as possible and with a long stroke, and maintain a reasonable pump efficiency range. The stroke frequency can be controlled, thereby avoiding unnecessary pumping stop time and maximizing the average liquid production per unit time, thereby achieving the goals of high production and high efficiency.

[0041] Embodiment 8: The cloud-based intelligent remote frequency conversion adjustment method for the oil pumping well system includes an automatic interlocking control mode and a manual remote control mode; In the automatic interlocking control mode, the real-time data acquisition module automatically sends control instructions to the pumping unit acquisition control module to realize the variable frequency adjustment of the pumping unit. After the instructions are sent, the pumping unit acquisition control module feedbacks the execution status and controls the execution effect through real-time data analysis. In the manual remote control mode, the analysis results are fed back to the user, the user manually issues control instructions, and the system monitors the execution of the instructions.

[0042] The embodiment of the present invention provides two control modes for users to choose from, which can more conveniently implement remote control.

[0043] The above technical features constitute the embodiments of the present invention, which have strong adaptability and implementation effect. Non-essential technical features can be added or reduced according to actual needs to meet the requirements of different situations.

Claims

1. A cloud-based intelligent remote frequency conversion regulation oil well pumping system, characterized in that It includes the Internet of Things cloud platform, communication module and oil pumping unit collection control module; Among them, the IoT cloud platform is used to collect and filter the dynamic data of the oil pumping unit, conduct comprehensive analysis of the data, determine the variable frequency control mechanism of the oil pumping unit, and perform remote control; Among them, the communication module is used to connect the Internet of Things cloud platform and the oil pumping unit collection control module to upload and issue information; Among them, the oil pumping unit data collection control module is used to collect changes in load, displacement and three-phase electrical parameters of the oil pumping unit, and receive instructions to adjust the operating frequency of the oil pumping unit motor.

2. The cloud-based intelligent remote frequency conversion regulation oil well pumping system according to claim 1 is characterized in that The IoT cloud platform includes real-time data acquisition module, algorithm module and remote control module; Among them, the real-time data acquisition module is used to collect the dynamic data of the oil pumping unit operation and filter the collected real-time data; Among them, the algorithm module is used to conduct comprehensive analysis of the data and determine the variable frequency control mechanism of the oil pumping unit; Among them, the remote control module is used for remote control.

3. The cloud-based intelligent remote frequency conversion regulation oil well pumping system according to claim 2 is characterized in that The remote control module includes an automatic interlocking control submodule and a manual remote control submodule. The automatic interlocking control submodule is used for automatic interlocking control, and the manual remote control submodule is used for manual remote control.

4. The cloud-based intelligent remote frequency conversion regulation oil well pumping system according to claim 1, 2 or 3, characterized in that The communication module is an intelligent integrated industrial gateway.

5. The cloud-based intelligent remote frequency conversion regulation oil well pumping system according to claim 1, 2 or 3, characterized in that The oil pumping unit data collection control module includes an oil pumping unit motor, a frequency conversion regulator and a wireless data collection instrument; Among them, the oil pumping unit motor is used to drive the oil pumping unit to operate; Among them, the frequency converter is used to receive the command of the remote control module and adjust the operating frequency of the pumping unit motor; Among them, the wireless data acquisition instrument is used to collect changes in load, displacement and three-phase electrical parameters of the pumping unit.

6. A cloud-based intelligent remote frequency conversion adjustment method for an oil well pumping system, characterized in that The following steps are involved: Determine the frequency adjustment range, set the maximum and minimum values, and perform frequency conversion adjustment within this range; Conduct operation status diagnosis and eliminate abnormal conditions, including instrument abnormalities such as constant parameter value and drift, and production abnormalities such as broken belts and sucker rods; Analyze production data and determine the triggering conditions for frequency conversion regulation; Different frequency conversion operations are performed according to different triggering conditions. For example, if the liquid supply is insufficient or the fullness of the indicator diagram is too low, the frequency reduction operation is performed. If the adjustment is not triggered for a long time or the fullness of the indicator diagram is high, the frequency increase operation is performed. After the operation is completed, the power diagram area is monitored in real time, and according to the change of the power diagram area, it is determined whether to continue to adjust or return to the last state until the system is stable.

7. The cloud-based intelligent remote frequency conversion adjustment method for an oil well system according to claim 6 is characterized in that The trigger conditions include the reduction of production, the change of the power diagram area, the power diagram diagnosis analysis results, the load of the pumping unit, and the efficiency of tons of oil per hundred meters.

8. The cloud-based intelligent remote frequency conversion adjustment method for an oil well system according to claim 6 or 7, characterized in that The control strategy adopts the segmented control method of measured value and set deviation, adjusts the pumping unit to set several operating ranges, and sets different actions and filtering times in each operating range according to the corresponding dynamometer diagram fullness and dynamometer diagram diagnostic analysis in each operating range.

9. The cloud-based intelligent remote frequency conversion adjustment method for an oil well system according to claim 6 or 7, characterized in that Collect dynamometer data and three-phase current, voltage, and power production data, combine with real-time changes in oil well production, diagnose changes in the working conditions of downhole equipment in the rod pumping system in real time, intervene in advance to remotely and automatically adjust the operating frequency to achieve automatic changes in production parameters and adjust the operating status of the pumping unit, so that the pumping unit can operate as low-stroke and long-stroke as possible, maintain a reasonable pump efficiency range, and control the stroke frequency.

10. The cloud-based intelligent remote frequency conversion adjustment method for an oil well system according to claim 6 or 7, characterized in that Including automatic interlocking control mode and manual remote control mode; In the automatic interlocking control mode, the real-time data acquisition module automatically sends control instructions to the pumping unit acquisition control module to realize the variable frequency adjustment of the pumping unit. After the instructions are sent, the pumping unit acquisition control module feedbacks the execution status and controls the execution effect through real-time data analysis. In the manual remote control mode, the analysis results are fed back to the user, the user manually issues control instructions, and the system monitors the execution of the instructions.

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