Optimization Method for Pumping Unit Stroke Parameters Based on Motor Feedback Parameters of Pumping Unit

Abstract

The present invention discloses a method for optimizing the stroke parameters of a pumping unit based on the feedback parameters of the pumping unit motor, belonging to the technical field of oil wells; the optimization method includes step S1: obtaining the electrical parameters feedback by the pumping unit motor; step S2: establishing a mathematical model of electrical parameters - torque - polished rod load according to the obtained electrical parameters; step S3: drawing a multi-parameter curve graph according to the mathematical model and the numerical integration method, the parameters of the ordinate of the multi-parameter curve graph at least include load and current, the parameters of the abscissa include displacement, and the current pump immersion depth is fed back in real time according to the multi-parameter curve graph, so as to dynamically optimize at least one of the running strokes and stroke speeds of the pumping unit; this method not only reduces the dependence on the dynamometer and sensors, avoids the disadvantages of relying on the dynamometer, but also reduces the sensing data error, and can realize the real-time monitoring of the pump immersion depth, and then realize the independent dynamic optimization of the pumping unit strokes, upstroke speed and downstroke speed.

Description

Technical Field

[0001] The present invention belongs to the field of oil wells, and particularly relates to a method for optimizing the stroke parameters of a pumping unit based on the feedback parameters of the pumping unit motor. Background Art

[0002] At present, in the field of oil well technology, the dynamometer is generally relied on as the core tool for diagnosing oil well production, mainly used for collecting and analyzing the load-displacement change curve (i.e., the dynamogram) of the polished rod of the pumping unit, so as to evaluate the working state of the downhole pump, diagnose faults, and optimize production parameters such as the pumping speed and speed of the pumping unit; however, the collection of dynamometer data mainly depends on the load sensor and the displacement sensor. On the one hand, this increases the use cost of the sensors. On the other hand, the configuration operations such as the upgrade and debugging of the dynamometer need to be carried out after the well is shut down, which not only causes the interruption of oil well production, affects the crude oil output, but also may increase the mechanical loss due to frequent start-stop of the equipment and reduce the production efficiency.

[0003] Based on the above analysis, the present application designs a method for optimizing the stroke parameters of a pumping unit based on the feedback parameters of the pumping unit motor. Summary of the Invention

[0004] The object of the present invention is to provide a method for optimizing the stroke parameters of a pumping unit based on the feedback parameters of the pumping unit motor. This method uses the electrical parameters feedback by the pumping unit motor to draw a multi-parameter curve graph, and determines the current pump submergence degree according to the multi-parameter curve graph, and then dynamically optimizes at least one of the pumping speed and the stroke speed of the pumping unit from fast to slow, so as to achieve the purpose of improving the pump efficiency and supply-production balance, and reducing the dependence on the dynamometer and sensing data.

[0005] To solve the above problems, the present application provides a method for optimizing the stroke parameters of a pumping unit based on the feedback parameters of the pumping unit motor, including the following steps:

[0006] Step S1: Obtain the electrical parameters feedback by the pumping unit motor, and the electrical parameters at least include current, voltage and frequency;

[0007] Step S2: Establish a mathematical model of electrical parameter - torque - polished rod load according to the obtained electrical parameters;

[0008] Step S3: Draw a multi-parameter curve graph according to the mathematical model and the numerical integration method. The parameters of the ordinate of the multi-parameter curve graph at least include load and current, and the parameters of the abscissa include displacement. And according to the multi-parameter curve graph, the current pump submergence degree is fed back in real time, and then at least one of the pumping speed and the stroke speed of the pumping unit is dynamically optimized.

[0009] As a preferred solution of the present application:

[0010] In step S2, the specific steps of establishing a mathematical model of electrical parameters - torque - polished rod load based on the obtained electrical parameters include:

[0011] Step S21: Establish a calculation model for the output torque of the pumping unit motor :

[0012]

[0013] Wherein, is the active power of the motor,

[0014] is the motor conversion efficiency,

[0015] is the power factor,

[0016] is the voltage in the electrical parameters,

[0017] is the current in the electrical parameters;

[0018] is the motor speed,

[0019] is the number of pole pairs of the motor,

[0020] is the frequency in the electrical parameters;

[0021] Step S22: Establish a calculation model for the polished rod load of the pumping unit :

[0022]

[0023] Wherein, is the motor transmission efficiency,

[0024] is the crank radius of the four-bar mechanism of the pumping unit,

[0025] is the length of the front arm of the pumping unit's walking beam,

[0026] is the crank angle of the four-bar mechanism of the pumping unit;

[0027] Step S23: Establish a calculation model for the polished rod displacement :

[0028]

[0029] Wherein, is the crank radius of the four-bar mechanism of the pumping unit,

[0030] is the length of the front arm of the walking beam of the pumping unit,

[0031] is the crank angle of the four-bar mechanism of the pumping unit.

[0032] As a preferred solution of the present application:

[0033] In step S3, the specific method for real-time monitoring of the pump immersion depth according to the multi-parameter curve graph includes:

[0034] Determine the current pump immersion depth according to the curve shape of at least one of the load-displacement curve and the current-displacement curve in the multi-parameter curve graph, and then mainly dynamically adjust the stroke frequency to a reasonable range, and supplemented by dynamically adjusting the stroke speed of faster up and slower down to a reasonable range for stroke parameter optimization.

[0035] As a preferred solution of the present application:

[0036] The specific method for determining the current pump immersion depth according to the curve shape of at least one of the load-displacement curve and the current-displacement curve in the multi-parameter curve graph includes:

[0037] When using the load-displacement curve, judge whether the load-displacement curve graph is a complete parallelogram. If not, judge the abnormal curve deformation rate, and then determine the current pump immersion depth level according to the preset relationship between the curve deformation rate and the pump immersion depth;

[0038] When using the current-displacement curve, judge the current peak oscillation volatility of the current-displacement curve in one cycle, and then determine the current pump immersion depth level according to the preset relationship between the current peak oscillation volatility and the pump immersion depth.

[0039] As a preferred solution of the present application:

[0040] Adopt a combination of the load-displacement curve and the current-displacement curve to judge the current immersion depth state, where,

[0041] Qualitatively judge the pump immersion depth through the load-displacement curve, and verify and quantify the level of the pump immersion depth through the current-displacement curve.

[0042] As a preferred solution of the present application:

[0043] In step S3, the numerical integration method includes at least one of the trapezoidal rule, Simpson's rule, and Romberg integration.

[0044] Compared with the prior art, the beneficial effects of the present invention are:

[0045] This stroke parameter optimization method of the present solution uses the electrical parameters fed back by the pumping unit motor to draw a multi-parameter curve graph, and determines the current pump immersion depth according to the multi-parameter curve graph, and then dynamically optimizes (regulates) at least one of the stroke frequency and the stroke speed with faster upward and slower downward of the pumping unit; that is, this method uses electrical parameters such as current, voltage, and frequency fed back by the pumping unit motor as basic monitoring data, and uses numerical integration method to draw a multi-parameter curve graph with the basic monitoring data, and uses this multi-parameter curve graph to replace the traditional indicator diagram to optimize production parameters such as the stroke frequency and speed of the pumping unit. In this way, on the one hand, the dependence on the indicator instrument and sensors is reduced, the disadvantages of relying on the indicator instrument are avoided, and various errors brought by the sensors are eliminated. On the other hand, the real-time monitoring of the pump immersion depth is realized, and then the independent dynamic regulation of the stroke frequency, upward stroke speed and downward stroke speed of the pumping unit is realized, the purpose of improving the pump efficiency and achieving supply-demand balance is achieved, and at the same time, it is ensured that the speeds of the upward and downward strokes meet the requirements of faster upward and slower downward. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a flow chart of the pumping unit stroke parameter optimization method based on the parameters fed back by the pumping unit motor provided by an embodiment of the present invention.

[0047] Figure 2 It is a multi-parameter curve graph provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0048] The present invention will be further described in detail below in conjunction with the specific embodiments and with reference to the accompanying drawings. It should be emphasized that the following description is merely exemplary and not intended to limit the scope and application of the present invention.

[0049] Embodiment 1: As Figure 1 shown, it is a flow chart of a pumping unit stroke parameter optimization method based on the parameters fed back by the pumping unit motor provided by this embodiment. The method specifically includes the following steps:

[0050] Step S1: Obtain the electrical parameters fed back by the pumping unit motor;

[0051] In this step, the electrical parameters are obtained at a certain frequency. The obtained electrical parameters mainly include the current I, voltage U, and frequency f fed back by the motor. Specifically, in this embodiment, the Nyquist criterion is used to sample the electrical parameters (the sampling frequency is twice the highest frequency of the signal, specifically 100 ms) to ensure that the signal does not occur aliasing during the sampling process, and at the same time, ensure the integrity and accuracy of the signal.

[0052] Step S2: Establish a mathematical model of electrical parameter - torque - polished rod load according to the obtained electrical parameters;

[0053] This step is used to associate electrical parameters with the polished rod load, providing a basis for subsequent optimization of stroke parameters. The specific steps for establishing the mathematical model include:

[0054] Step S21: Establish a calculation model for the output torque of the pumping unit motor :

[0055]

[0056] Among them, is the active power of the motor:

[0057]

[0058] is the motor conversion efficiency,

[0059] is the power factor,

[0060] is the voltage in the electrical parameters feedback by the motor,

[0061] is the current in the electrical parameters feedback by the motor;

[0062] is the motor speed:

[0063]

[0064] is the number of pole pairs of the motor,

[0065] is the frequency in the electrical parameters feedback by the motor;

[0066] According to the above model, it can be known that the motor torque is proportional to the active power of the motor and inversely proportional to the motor speed . Therefore, according to the obtained electrical parameters current , voltage and frequency , the output torque of the motor can be calculated;

[0067] Step S22: Establish a calculation model for the polished rod load of the pumping unit:

[0068]

[0069] Among them, is the motor transmission efficiency,

[0070] is the crank radius of the four-bar mechanism of the pumping unit,

[0071] is the length of the front arm of the walking beam of the pumping unit,

[0072] is the crank angle of the four-bar linkage mechanism of the pumping unit;

[0073] According to the above model, it can be known that the polished rod load is related to the motion model of the four-bar linkage mechanism of the pumping unit and the motor torque By establishing the above model, the electrical parameters can be effectively correlated with the polished rod load. Furthermore, the changes in the electrical parameters can be reflected through the polished rod load. That is to say, the establishment of this model in this embodiment enables the acquisition of polished rod load data without relying on load sensors and dynamometers, reducing the dependence on sensing data;

[0074] Step S23: Establish a calculation model for the polished rod displacement :

[0075]

[0076] Among them, is the crank radius of the four-bar linkage mechanism of the pumping unit,

[0077] is the length of the front arm of the walking beam of the pumping unit,

[0078] is the crank angle of the four-bar linkage mechanism of the pumping unit;

[0079] According to the above model, it can be known that the polished rod displacement mainly depends on the motion model of the four-bar linkage mechanism of the pumping unit. In the motion model of the four-bar linkage mechanism, the parameters and are fixed values, is a variable, which can be directly obtained through an encoder set on the crank or indirectly deduced through the motor speed and reduction ratio; By calculating the polished rod displacement, the current stroke stage of the polished rod can be determined. Furthermore, combined with the polished rod load or current data, the pump efficiency of the pumping unit can be judged and optimized. It can be understood that the changes in the load or current at different stroke stages can directly reflect the state of the pump fullness, and the changes in the pump fullness state can reflect the changes in the pump immersion depth.

[0080] Step S3: Draw a multi-parameter curve graph according to the mathematical model and numerical integration method. The parameters on the vertical axis of the multi-parameter curve graph include at least the load and current, and the parameters on the horizontal axis include displacement. And according to the multi-parameter curve graph, the current pump immersion depth is determined or fed back in real time. Then, according to the current pump immersion depth, a suitable stroke parameter optimization strategy is selected to dynamically optimize at least one of the running strokes and stroke speed of the pumping unit.

[0081] Specifically, the electrical parameters are converted into load F and power P through the mathematical model established in step S2, and the polished rod displacement S is obtained by calculating the data parameters of the four-bar mechanism of the pumping unit. Then, at least one numerical integration rule among the trapezoidal rule, Simpson's rule, and Romberg integration is used to obtain continuous data. Finally, a multi-parameter curve is plotted based on the obtained continuous data. As Figure 2 shown, this is the multi-parameter curve graph (also known as the dynamometer card) drawn by the system when this solution is applied to the pumping well with well number 4604 in this embodiment. In this parameter curve graph, the vertical coordinate includes load (kM), current (A), and power (kW), and the horizontal coordinate is displacement (M). That is, in this curve graph, it includes a load-displacement curve graph, a current-displacement curve graph, and a power-displacement curve graph. Among them, the load-displacement curve graph and the current-displacement curve can replace the traditional dynamometer card. The current pump submergence is determined according to the curve shape of at least one of the load-displacement curve or the current-displacement curve in the multi-parameter curve graph. That is, the visualization of the fault is realized through the load-displacement curve or the current-displacement curve, and then the feedback and determination of the pump submergence are realized. In this embodiment, the power-displacement curve is mainly used to show the real-time power consumption of the pumping unit, and it is not used as the basis for monitoring the pump submergence in this implementation for the time being.

[0082] In this embodiment, the specific method for determining the current pump submergence according to the curve shape of at least one of the load-displacement curve and the current-displacement curve in the multi-parameter curve graph includes: judging the change in the curve shape by comparing the curve drawn based on the electrical parameters with the preset normal curve, and then determining the current pump submergence according to the change in the curve shape. In this embodiment, the deformation state of the multi-parameter curve usually directly reflects the dynamic liquid level depth (DFL) of the oil well, and the pump submergence can be deduced through the relationship between the pump submergence, the dynamic liquid level height, and the pump setting depth. Specifically, the pump submergence (S) = pump setting depth (H) - dynamic liquid level depth (DFL).

[0083] When using the load-displacement curve, the normal load-displacement curve is a parallelogram. Judge whether the load-displacement curve graph is a complete parallelogram. If not, then judge the abnormal curve deformation rate (it can be understood that this deformation rate can be calculated by comparing with the normal curve). This abnormal curve usually includes two situations: the lower part of the curve is missing or deformed, and the top of the curve is smooth or the area is reduced. According to the structure of the dynamometer card, as Figure 2As shown, the lower part of the curve is the section near the horizontal axis. This curve segment reflects the change in load from the end of the downward stroke to the beginning of the upward stroke. If there is a lack or deformation, it indicates that the pump immersion depth is insufficient (less than 50 m), resulting in the inability to establish the downward stroke load normally. The top curve is the curve segment on the side away from the horizontal axis. This curve segment reflects the load state of the plunger lifting the liquid in the later stage of the upward stroke. If there is a circular arc at the top of the curve or the enclosed area of the curve decreases, it indicates the presence of air locking (the immersion depth is relatively low, less than 100 m), which further leads to a decrease in load and insufficient lifting force. Finally, the current pump immersion depth level is determined according to the relationship between the preset curve deformation rate and the pump immersion depth. It can be understood that the relationship between the curve deformation rate and the pump immersion depth needs to be determined through multiple experiments or existing experience. In this embodiment, the abnormal levels of the pump immersion depth usually include three levels, namely, less than 50 m for the first level, between 50 - 100 m for the second level, and greater than 200 m for the third level. This embodiment only applies to the first two levels. For the third level, more cautious adjustment is required. It can be understood that different pump immersion depth levels determine different optimization strategies for the running stroke frequency and stroke speed of the pumping unit. In this embodiment, it is preferably to adopt existing traditional optimization or adjustment strategies for optimization after determining the pump immersion depth or the immersion depth level.

[0084] When using the current-displacement curve, mainly observe the fluctuation degree of the current curve. Specifically, judge the current peak oscillation volatility of the current-displacement curve within one cycle, and then determine the current pump immersion depth level according to the preset relationship between the current peak oscillation volatility and the pump immersion depth. It can be understood that the current peak oscillation volatility can be obtained by comparing with the normal current curve, and the relationship between the current peak oscillation volatility and the pump immersion depth can be formulated based on multiple experiments or existing experience. In this embodiment, it is preferably that when the obtained current peak oscillation volatility is between 15% - 20%, the corresponding pump immersion depth level is the second level, that is, the pump immersion depth is between 50 - 100 m. When the obtained current peak oscillation volatility is between 20% - 40%, the corresponding pump immersion depth level is the first level, that is, the pump immersion depth is less than 50 m. Finally, select a suitable optimization strategy to adjust or optimize the stroke frequency and stroke speed according to the determined immersion depth level. In this embodiment, the preferred optimization strategy can be the existing traditional debugging strategy.

[0085] Specifically, in the current-displacement curve, such as Figure 2As shown, within one cycle under normal conditions, the curve from the starting lowest point to the highest point is the upstroke stage, which is the lifting stage after loading. Therefore, the current gradually increases, generally with a relatively stable change. When the curve falls from the highest point back to the lowest point, it is the downstroke stage, which is the liquid suction stage. Therefore, the change in the current amplitude is sometimes large, and there are spikes or mutations in some cases. Thus, it can be seen that the change in the current directly reflects the smoothness of the load, and the smoothness of the load in turn reflects the state of the pump immersion depth. For example, in the upstroke stage, when the peak oscillation amplitude of the current curve changes significantly (the current peak oscillation volatility is greater than 15%), it indicates insufficient liquid suction, a relatively low fullness of the pump, and a smaller torque required for lifting, which consequently leads to a sudden decrease in the current. In the downstroke stage, when the peak oscillation amplitude of the current curve changes significantly, it indicates that the pump barrel is not filled with liquid due to the immersion depth, and thus the work done by the plunger on the liquid decreases, resulting in a decrease in the current. Therefore, based on the current peak oscillation volatility reflected by the current-displacement curve, the pump immersion depth level can be obtained intuitively and relatively accurately, providing more precise conditions for subsequent optimization of the stroke parameters.

[0086] In this embodiment, it is preferably to use the combination of the load-displacement curve and the current-displacement curve to judge the current immersion depth state. Among them, the pump immersion depth is qualitatively judged through the load-displacement curve, that is, first, it is judged whether there is a problem of abnormal pump immersion depth (whether it is evacuated / air locked) through the load-displacement curve, and then the level of the pump immersion depth is verified and quantified through the current-displacement curve. For example, whether the pump immersion depth is less than 50m, or between 50 - 100m. Then, at least one of the stroke frequency and the stroke speed is dynamically optimized according to the judgment result. Specifically, mainly dynamically adjust the stroke frequency to a reasonable range, and supplemented by dynamically adjusting the up-fast and down-slow stroke speed to a reasonable range for stroke parameter optimization. That is, first adjust the stroke frequency according to the pump immersion depth, and then adjust the upstroke speed or the downstroke speed as needed to ensure that the requirement of up-fast and down-slow is met.

[0087] In this embodiment, after speed regulation, it is ensured that the upstroke speed does not exceed the maximum allowable acceleration of the equipment (to avoid exceeding the inertial load limit), and the downstroke speed needs to ensure that the motor does not stall (the minimum frequency is usually ≥30Hz); in addition, it is preferably to recheck the pump immersion depth every 24 hours to avoid over-adjustment.

[0088] The following is an explanation of the effect of applying the optimization method of this embodiment to an actual oil well and combining with the existing optimization strategy to adjust the operating parameters of the pumping unit:

[0089] For example, when it is determined that the pump immersion depth is at the second level, that is, it is deduced that the immersion depth drops from 150m to 80m (insufficient liquid supply), and the original parameters are: the stroke frequency is 6 times per minute, and the upstroke and downstroke speeds are 55Hz and 50Hz respectively, the adjustment steps include:

[0090] First, reduce the pumping strokes: from 6 to 4 strokes per minute (a 33% reduction);

[0091] Then, adjust the speed: During the upward stroke: increase the speed from 55 Hz to 65 Hz (a 20% increase);

[0092] During the downward stroke: reduce the speed from 50 Hz to 35 Hz (a 30% reduction);

[0093] Verify the effect:

[0094] After the parameter optimization, the load-displacement curve in the multi-parameter curve graph tends to be a parallelogram, indicating that the pump fullness has been improved (the lower part is fully filled). At the same time, the current-displacement curve tends to be stable, and the current fluctuation is reduced by 10%.

[0095] At the same time, the following is a comparison table of the effects before and after the application of the above optimization method provided in this embodiment in different oil wells:

[0096]

[0097] Based on the above analysis, it can be seen that the stroke parameter optimization method of this solution uses the electrical parameters feedback by the pumping unit motor as the basic monitoring data, without relying on sensors such as load and displacement. It uses the electrical parameters to draw a multi-parameter curve graph, and determines the current pump immersion depth according to the multi-parameter curve graph (first determine the dynamic liquid level depth, and then calculate the pump immersion depth based on the dynamic liquid level depth), and then dynamically adjusts and optimizes at least one of the pumping strokes and the stroke speed with a faster upward and slower downward speed of the pumping unit; that is, this method uses electrical parameters such as current, voltage, and frequency feedback by the pumping unit motor as the basic monitoring data, and uses this basic monitoring data to draw a multi-parameter curve graph, and uses this multi-parameter curve graph to replace the traditional indicator diagram to optimize production parameters such as the pumping strokes and speed of the pumping unit. In this way, not only the dependence on the dynamometer is reduced, and the disadvantages of relying on the dynamometer are avoided, but also the real-time monitoring of the pump immersion depth can be realized, and then the independent dynamic control of the pumping strokes, upward stroke speed, and downward stroke speed of the pumping unit can be realized, achieving the purpose of improving the pump efficiency and achieving supply-demand balance. At the same time, the power consumption of the pumping unit system is also significantly reduced.

[0098] The above are only embodiments of the present invention. Common general knowledge such as specific structures and characteristics in the solution is not described in detail here. It should be noted that for those skilled in the art, without departing from the premise of the present invention, several improvements can still be made, and these should also be regarded as the protection scope of the present invention, and these will not affect the implementation effect of the present invention and the practicality of the patent. The protection scope required by this application should be subject to the content of the claims, and the specific implementation manners and the like described in the specification can be used to interpret the content of the claims.

Claims

1. A method for optimizing the stroke parameters of a pumping unit based on the feedback parameters of the pumping unit motor, characterized in that: The steps include: Step S1: Obtain the electrical parameters feedback by the pumping unit motor, where the electrical parameters at least include current I, voltage U, and frequency f; Step S2: Establish a mathematical model of electrical parameter - torque - polished rod load according to the obtained electrical parameters; Step S3: Draw a multi-parameter curve graph according to the mathematical model and the numerical integration method. The parameters of the ordinate of the multi-parameter curve graph at least include load and current, and the parameter of the abscissa includes displacement. And feedback the current pump immersion depth in real time according to the multi-parameter curve graph, so as to dynamically optimize at least one of the running strokes and stroke speeds of the pumping unit; In step S2, the specific steps of establishing a mathematical model of electrical parameter - torque - polished rod load according to the obtained electrical parameters include: Step S21: Establish a calculation model for the output torque of the pumping unit motor : Among them, is the active power of the motor, is the motor conversion efficiency, is the power factor, is the voltage among the electrical parameters, is the current among the electrical parameters; is the motor speed, is the number of pole pairs of the motor, is the frequency among electrical parameters; Step S22: Establish a calculation model for the polished rod load of the pumping unit : Among them, is the transmission efficiency of the motor, is the crank radius of the four-bar linkage of the pumping unit, is the length of the front arm of the walking beam of the pumping unit, is the crank angle of the four-bar linkage of the pumping unit; Step S23: Establish a calculation model for the displacement of the polished rod : Among them, is the crank radius of the four-bar linkage of the pumping unit, is the length of the front arm of the pumping unit walking beam, is the crank angle of the four-bar linkage of the pumping unit; In step S3, the specific method of monitoring the pump immersion depth in real time according to the multi-parameter curve graph includes: Determine the current pump immersion depth according to the curve shapes of the load-displacement curve and the current-displacement curve in the multi-parameter curve graph, and then mainly dynamically adjust the stroke to a reasonable range, and supplementarily dynamically adjust the stroke speed of fast up and slow down to a reasonable range for stroke parameter optimization; The specific method of determining the current pump immersion depth according to the curve shapes of the load-displacement curve and the current-displacement curve in the multi-parameter curve graph includes: Judge whether the load-displacement curve graph is a complete parallelogram. If not, judge the abnormal curve deformation rate, and then determine the current pump immersion depth level according to the relationship between the preset curve deformation rate and the pump immersion depth to qualitatively judge the pump immersion depth. At the same time, judge the current peak oscillation volatility of the current-displacement curve within one cycle, and then determine the current pump immersion depth level according to the relationship between the preset current peak oscillation volatility and the pump immersion depth to verify and quantify the level of the pump immersion depth.

2. The optimization method of the pumping unit stroke parameter based on the feedback parameters of the pumping unit motor according to claim 1, characterized in that: In step S3, the numerical integration method includes at least one of the trapezoidal rule, Simpson's rule, and Romberg integration.

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