阅读说明：本技术 一种适用于esp生产挖潜的边缘计算智能调控方法 (Edge calculation intelligent regulation and control method suitable for ESP production excavation and submergence ) 是由 徐文江 张光一 安健辰 黄新春 付军 张嵘 苗杰 姜帅 于 2020-05-22 设计创作，主要内容包括：本发明公开了一种适用于ESP生产挖潜的边缘计算智能调控方法,步骤如下：ESP的变频器内置控制器将设定的泵入口压力值与油井的下边界条件进行比较得到最小允许的泵入口压力值,并根据矫正近似产液指数计算得到其对应的最大产液量；根据ESP电泵机组压力平衡关系式,计算得到其对应的最大扬程值；通过该ESP变频下的泵特性曲线,计算得到达到最大产液量所需的目标频率值,然后ESP的变频器内置控制器将ESP的运行频率调频至所述目标频率值。本发明通过泵工况和井口压力计监测的数据,计算出油井最大产能方案,实现ESP变频器的自动调频,达到ESP生产挖潜的智能调控,保证稳定调产。(The invention discloses an intelligent edge calculation regulation and control method suitable for ESP production excavation, which comprises the following steps: the method comprises the following steps that a frequency converter built-in controller of the ESP compares a set pump inlet pressure value with the lower boundary condition of an oil well to obtain a minimum allowable pump inlet pressure value, and calculates according to a corrected approximate liquid production index to obtain a corresponding maximum liquid production amount; calculating to obtain a corresponding maximum lift value according to a pressure balance relation of an ESP electric pump unit; and calculating a target frequency value required by reaching the maximum liquid production amount through the pump characteristic curve under the ESP frequency conversion, and then adjusting the running frequency of the ESP to the target frequency value by a built-in controller of a frequency converter of the ESP. According to the invention, the maximum productivity scheme of the oil well is calculated through the pump working condition and the data monitored by the wellhead pressure gauge, so that the automatic frequency modulation of the ESP frequency converter is realized, the intelligent regulation and control of the ESP production excavation and submergence is realized, and the stable production regulation and control is ensured.)

1. An intelligent edge calculation regulation and control method suitable for ESP production excavation is characterized by comprising the following steps:

step 1: the frequency converter built-in controller of the ESP compares the set pump inlet pressure value with the lower boundary condition of the oil well, and takes the larger value of the two as the minimum allowable pump inlet pressure value P_minAnd correlating the current liquid production amount Q_nowAnd the inlet pressure value P of the existing pump_nowThen, the minimum allowable pump inlet pressure value P is calculated according to the corrected approximate fluid production index k_minCorresponding maximum fluid production Q_max；

Step 2: the frequency converter built-in controller of the ESP is based on the minimum allowable pump inlet pressure value P_minAnd the ESP electric pump unit pressure balance relation is calculated to obtain the minimum allowable pump inlet pressure value P_minCorresponding maximum head value H_max；

And step 3: the frequency converter built-in controller of the ESP is based on the minimum allowable pump inlet pressure value P_minCorresponding maximum fluid production Q_maxAnd its corresponding maximum lift value H_maxCalculating to obtain the minimum allowable pump inlet pressure value P through the pump characteristic curve under the ESP frequency conversion_minCorresponding maximum fluid production Q_maxDesired target frequency value f_maxThen the frequency converter built-in controller of the ESP modulates the running frequency of the ESP to the target frequency value f_max。

2. The intelligent edge calculation control method for the ESP production submergence excavation according to claim 1, wherein the pump characteristic curve under the ESP variable frequency is obtained by the following steps:

(1) the relation Q-H of the pump characteristic curve under the ESP rated frequency obtained by a clear water experiment is known:

H＝aQ⁴+bQ³+cQ²+dQ+e；

(2)Q_fis the theoretical fluid production at an ESP frequency of f, H_fIs the theoretical lift of the ESP with the frequency f and the theoretical liquid production Q with the frequency f_fTheoretical lift H_fThe oil industry standard relational expressions of the theoretical liquid production quantity Q and the theoretical lift H under the rated frequency are respectively as follows:

(3) obtaining a pump characteristic curve Q under the ESP frequency conversion according to (1) and (2)_f-H_fThe relation is as follows:

wherein a, b, c, d and e are known values and are delivery property parameters of the electric pump unit.

3. The intelligent edge calculation control method for ESP production submergence and development according to claim 1, wherein in step 1, the minimum allowable pump inlet pressure value P_minCorresponding maximum fluid production Q_maxThe formula is as follows:

Q_max＝k×(P_now-P_min)+Q_now。

4. the intelligent edge computing control method for ESP production submergence excavation according to claim 1, wherein in step 1, the corrected approximate fluid production index k is obtained by the following process:

(1) the frequency converter built-in controller of the ESP obtains the frequency f of m ESPs in the near term_mActual liquid production amount of'_mObtaining corresponding actual liquid production amount Q'_mTemporal pump inlet pressure value P_imAnd pump outlet pressure value P_dmThen calculating to obtain the frequency f of the ESP according to a liquid pressure formula_mActual lift H'_m；

(2) An ESP frequency converter built-in controller calculates and obtains an actual lift H 'according to a pump characteristic curve under frequency conversion of the ESP frequency converter built-in controller'_mCorresponding theoretical fluid production Q_fmThen the ESP frequency is f_mActual liquid production amount of'_mAnd theoretical fluid production Q_fmThe comparison results in m ESP frequencies of f_mCorrection coefficient of time displacement K_mTaking the average value as the analog measurement coefficient K of the ESP;

(3) the frequency converter built-in controller of the ESP reacquires n real-time ESP frequencies of f_nInlet pressure value P of the pump_inAnd pump outlet pressure value P_dnAnd then calculating to obtain a corresponding simulated metering actual liquid production amount approximate value Q 'according to the pump characteristic curve under the ESP frequency conversion and the simulated metering coefficient K'_nFurther calculating to obtain an approximate value Q 'of the simulated measurement actual liquid production amount under the pressure difference of the pump outlet and the inlet of n units'_nOf n liquid production indices k_nTaking the average value as the correction approximate liquid production index k of the ESP;

wherein m and n are both natural numbers greater than 0.

5. The intelligent edge computing regulation and control method suitable for ESP production excavation and submerging of claim 4, wherein in step 1, the actual liquid production amount Q'_mObtaining the historical metering data or re-metering data of the wellhead metering flowmeter, wherein the pump inlet pressure value P_imAnd pump outlet pressure value P_dmThe method is obtained through a pump working condition instrument hung on an ESP (electronic stability program) underground unit; ESP frequency of f_mActual lift H'_mCalculated by the following formulaTo:

wherein rho is the density of the oil well fluid, and g is the gravity acceleration.

6. The intelligent edge computing control method for ESP production submergence according to claim 4, wherein in step 1, the frequency of ESP is f_mCorrection coefficient of time displacement K_mThe formula is as follows:

7. the intelligent edge calculation control method for ESP production submergence and development according to claim 4, wherein in step 1, the pump inlet pressure value P_inPressure value P of pump outlet_dnThe method is obtained through a pump working condition instrument hung on an ESP (electronic stability program) underground unit; frequency of ESP being frequency f_nActual liquid production amount approximate value Q 'of simulation measurement'_nThe method is calculated by the following steps:

calculating to obtain the frequency f of ESP according to a liquid pressure formula_nActual lift H'_nThe method comprises the following steps:

wherein rho is the density of the oil well fluid, and g is the gravity acceleration;

② the frequency f of ESP_nAnd'_nThe characteristic curve of the pump is brought into the ESP frequency conversion, and the ESP frequency f is obtained through calculation_nTheoretical hourly fluid production Q_fn；

Calculating to obtain analog measurement according to the first and the second formulasActual liquid production volume approximate value Q'_n：

Q′_n＝K×Q_fn。

8. The intelligent edge computing control method for ESP production submergence according to claim 4, wherein in step 1, the frequency of ESP is f_nFluid production index k of hour_nThe formula is as follows:

9. the intelligent edge calculation control method for ESP production submergence and development according to claim 1, wherein in step 2, the minimum allowable pump inlet pressure value P_minCorresponding maximum head value H_maxThe formula is as follows:

wherein rho is the density of the oil well fluid, g is the gravity acceleration, P_{Oil pressure}The residual pressure of oil gas after the oil gas is lifted from the bottom of the well to the top of the well through the oil pipe by the flowing pressure; p_{Liquid column}Liquid column pressure, pressure due to acceleration and gravity in the multi-pipe flow; p_{Friction resistance}Is the flow friction drag pressure, i.e. the pressure generated by friction losses in the tubing; p_{Oil pressure}、P_{Liquid column}、P_{Friction resistance}The sum of the three is the pump outlet pressure value.

10. The electrical submersible pump unit suitable for the intelligent edge computing control method for ESP production submergence and excavation based on any one of claims 1 to 9.

Technical Field

The invention relates to the technical field of automatic control of an electric submersible pump unit of oil exploitation equipment, in particular to an intelligent edge calculation regulation and control method suitable for ESP production excavation.

Background

When an electric submersible pump unit (ESP) leaves a factory, only one group of characteristic curves under rated frequency are provided, the characteristic curves can be calculated to a frequency conversion characteristic curve through a similar principle, but the well condition of an offshore platform is complex, and the actual characteristic curves have large deviation compared with a standard characteristic curve under different temperatures, pressures and fluid properties; meanwhile, the understanding on the productivity of the oil well is insufficient, the production potential is not fully exerted, so that the production adjustment cannot be reasonably and accurately carried out, the productivity of part of the oil well is not fully exerted, and the production timeliness and the oil well recovery ratio are influenced.

Disclosure of Invention

The invention aims to overcome the defects of the prior art and provides an intelligent edge calculation regulation and control method suitable for ESP production excavation.

Another object of the present invention is to provide an electrical submersible pump unit (ESP) based on the above-mentioned edge calculation intelligent control method suitable for ESP production diving.

The technical purpose of the invention is realized by the following technical scheme.

An intelligent edge calculation regulation and control method suitable for ESP production excavation and submergence comprises the following steps:

step 1: the frequency converter built-in controller of the ESP compares the set pump inlet pressure value with the lower boundary condition of the oil well (namely the pump inlet pressure value when the oil well is pumped), and takes the larger value of the two as the minimum allowable pump inlet pressure value P_minAnd correlating the current liquid production amount Q_nowAnd the inlet pressure value P of the existing pump_nowThen, the minimum allowable pump inlet pressure value P is calculated according to the corrected approximate fluid production index k_minCorresponding maximum fluid production Q_max；

In step 1, the minimum allowable pump inlet pressure value P_minCorresponding maximum fluid production Q_maxThe formula is as follows:

Q_max＝k×(P_now-P_min)+Q_now(formula 1);

in step 1, the corrected approximate fluid production index k is obtained by the following process:

(1) the frequency converter built-in controller of the ESP obtains the frequency f of m ESPs in the near term_mActual liquid production amount of'_mObtaining corresponding actual liquid production amount Q'_mTemporal pump inlet pressure value P_imAnd pump outlet pressure value P_dmThen calculating to obtain the frequency f of the ESP according to a liquid pressure formula_mActual lift H'_m；

(2) An ESP frequency converter built-in controller calculates and obtains an actual lift H 'according to a pump characteristic curve under frequency conversion of the ESP frequency converter built-in controller'_mCorresponding theoretical fluid production Q_{f m}Then the ESP frequency is f_mActual liquid production amount of'_mAnd theoretical fluid production Q_fmThe comparison results in m ESP frequencies of f_mCorrection coefficient of time displacement K_mTaking the average value as the analog measurement coefficient K of the ESP;

(3) the frequency converter built-in controller of the ESP reacquires n real-time ESP frequencies of f_nInlet pressure value P of the pump_inAnd pump outlet pressure value P_dnAnd then calculating to obtain a corresponding simulated metering actual liquid production amount approximate value Q 'according to the pump characteristic curve under the ESP frequency conversion and the simulated metering coefficient K'_nFurther calculating to obtain an approximate value Q 'of the simulated measurement actual liquid production amount under the pressure difference of the pump outlet and the inlet of n units'_nOf n liquid production indices k_nTaking the average value as the correction approximate liquid production index k of the ESP;

wherein m and n are both natural numbers greater than 0.

In step 1, the actual liquid production amount Q'_mObtaining the historical metering data or re-metering data of the wellhead metering flowmeter, wherein the pump inlet pressure value P_imAnd pump outlet pressure value P_dmThe method is obtained through a pump working condition instrument hung on an ESP (electronic stability program) underground unit;

in step 1, the frequency of ESP is f_mActual lift H'_mCalculated by the following formula:

wherein rho is the density of the oil well fluid, and g is the gravity acceleration;

in step 1, the frequency of ESP is f_mCorrection coefficient of time displacement K_mThe formula is as follows:

in step 1, the pump inlet pressure value P_inPressure value P of pump outlet_dnThe method is obtained through a pump working condition instrument hung on an ESP (electronic stability program) underground unit;

in step 1, the ESP frequency is the frequency f_nActual liquid production amount approximate value Q 'of simulation measurement'_nThe method is calculated by the following steps:

calculating to obtain the frequency f of ESP according to a liquid pressure formula_nActual lift H'_nThe method comprises the following steps:

wherein rho is the density of the oil well fluid, and g is the gravity acceleration;

② the frequency f of ESP_nAnd'_nThe characteristic curve of the pump is brought into the ESP frequency conversion, and the ESP frequency f is obtained through calculation_nTheoretical hourly fluid production Q_{f n}；

Calculating to obtain an approximate value Q 'of the actual liquid production amount of the simulated measurement according to the formula'_n：

Q′_n＝K×Q_fn(equation 5);

in step 1, the frequency of ESP is f_nFluid production index k of hour_nThe formula is as follows:

step 2: the frequency converter built-in controller of the ESP is based on the minimum allowable pump inlet pressure value P_minAnd the ESP electric pump unit pressure balance relation is calculated to obtain the minimum allowable pump inlet pressure value P_minCorresponding maximum head value H_max；

In step 2, the minimum allowable pump inlet pressure value P_minCorresponding maximum head value H_maxThe pressure balance of the ESP electric pump unit is calculated by the following formula (namely the pressure balance relation of the ESP electric pump unit):

wherein rho is the density of the oil well fluid, and g is the gravity acceleration; p_{Oil pressure}The residual pressure of oil gas after the oil gas is lifted from the bottom of the well to the top of the well through the oil pipe by the flowing pressure; p_{Liquid column}Liquid column pressure, pressure due to acceleration and gravity in the multi-pipe flow;P_{friction resistance}Is the flow friction drag pressure, i.e. the pressure generated by friction losses in the tubing; p_{Oil pressure}、P_{Liquid column}、P_{Friction resistance}The sum of the three is the pump outlet pressure value.

And step 3: the frequency converter built-in controller of the ESP is based on the minimum allowable pump inlet pressure value P_minCorresponding maximum fluid production Q_maxAnd its corresponding maximum lift value H_maxPassing the pump characteristic curve under the ESP frequency conversion (namely, the minimum allowable pump inlet pressure value P)_minCorresponding maximum fluid production Q_maxAnd its corresponding maximum lift value H_maxAnd is brought into a pump characteristic curve formula under the ESP frequency conversion), and the inlet pressure value P of the pump reaching the minimum allowable value is calculated_minCorresponding maximum fluid production Q_maxDesired target frequency value f_maxThen the frequency converter built-in controller of the ESP modulates the running frequency of the ESP to the target frequency value f_max。

In the method, the pump characteristic curve under the ESP variable frequency is obtained by the following steps:

(1) the relation Q-H of the pump characteristic curve under the ESP rated frequency obtained by a clear water experiment is known:

H＝aQ⁴+bQ³+cQ²+ dQ + e (equation 8);

(2)Q_fis the theoretical fluid production at an ESP frequency of f, H_fIs the theoretical lift of the ESP with the frequency f and the theoretical liquid production Q with the frequency f_fTheoretical lift H_fThe oil industry standard relational expressions of the theoretical liquid production quantity Q and the theoretical lift H under the rated frequency are respectively as follows:

(3) obtaining a pump characteristic curve under the ESP variable frequency according to (1) and (2)Q_f-H_fThe relation is as follows:

wherein a, b, c, d and e are known values and are factory property parameters of the electric pump unit, and can be written in the specification of the electric pump unit.

The invention also discloses an electrical submersible pump unit (ESP) based on the intelligent edge computing regulation and control method suitable for ESP production excavation.

The electric submersible pump unit (ESP) monitors the oil pressure at the bottom of the well in real time and is used for ensuring the stable operation of the ESP unit within a set boundary condition range.

The invention also discloses application of the method in controlling automatic frequency modulation of an ESP electric pump unit.

Compared with the prior art, the method can carry out edge calculation through the preset algorithm in the frequency converter of the ESP and push the scheme of the maximum productivity of the oil well on the basis of an electric pump monitoring system consisting of the pump working condition, the wellhead flowmeter and the frequency converter according to the data monitored by the pump working condition and the wellhead pressure meter, thereby realizing the automatic frequency modulation of the ESP frequency converter, achieving the intelligent regulation and control of the excavation and submergence of the ESP production and ensuring the stable production regulation; in addition, the period of measuring the actual liquid production of the oil well through the wellhead metering flowmeter is long, the frequency is generally once a week, and the interval period of monitoring the inlet pressure value and the outlet pressure value of the pump through the pump working condition instrument is days.

Drawings

FIG. 1 is a flow chart of an intelligent edge calculation control method suitable for ESP production submergence excavation according to the invention.

Detailed Description

The present invention will be described in further detail with reference to specific examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Oil field in Bohai seaFor example, in an electrically pumped well, the density ρ of the well fluid is 0.972g/m³The lower boundary condition of the well (namely the pump inlet pressure value when the oil well is pumped out) is 1 MPa; the model number of ESP equipment used by the well is B15172-2700, and the factory property parameters recorded in the specification are as follows: a is 1 × 10^-8，b＝2×10^-5C is 0.0048, d is 0.3515, e is 1828; the production frequency of the well is 50Hz (i.e. the present pump inlet pressure value P)_now)。

The characteristic curve of the pump under the ESP frequency conversion is obtained by the following steps:

(1) the relation Q-H of the pump characteristic curve under the ESP rated frequency obtained by a clear water experiment is known:

H＝aQ⁴+bQ³+cQ²+ dQ + e (equation 8);

(2)Q_fis the theoretical fluid production at an ESP frequency of f, H_fIs the theoretical lift of the ESP with the frequency f and the theoretical liquid production Q with the frequency f_fTheoretical lift H_fThe oil industry standard relational expressions of the theoretical liquid production quantity Q and the theoretical lift H under the rated frequency are respectively as follows:

(3) obtaining a pump characteristic curve Q under the ESP frequency conversion according to (1) and (2)_f-H_fThe relation is as follows:

wherein, a is 1 × 10^-8，b＝2×10^-5，c＝0.0048，d＝0.3515，e＝1828。

Example 1

The invention discloses an intelligent edge calculation regulation and control method suitable for ESP production excavation, which comprises the following steps of:

step 1: a user manually inputs a pump inlet pressure value (0.5MPa) through an input device of the ESP, a frequency converter built-in controller of the ESP compares the pump inlet pressure value input by the user with a lower boundary condition (1MPa) of the oil well, and the larger value of the pump inlet pressure value and the lower boundary condition is taken as a minimum allowable pump inlet pressure value P_min(i.e. P)_min1MPa) and correlates the current fluid production Q_nowAnd the inlet pressure value P of the existing pump_nowThen, the minimum allowable pump inlet pressure value P is calculated according to the corrected approximate fluid production index k_minCorresponding maximum fluid production Q_max；

Wherein the minimum allowable pump inlet pressure value P_minCorresponding maximum fluid production Q_maxThe formula is as follows:

Q_max＝k×(P_now-P_min)+Q_now(formula 1);

the relevant data and calculation results obtained in this step are shown in the following table:

step 2: the frequency converter built-in controller of the ESP is based on the minimum allowable pump inlet pressure value P_minAnd the ESP electric pump unit pressure balance relation is calculated to obtain the minimum allowable pump inlet pressure value P_minCorresponding maximum head value H_max；

Wherein the minimum allowable pump inlet pressure value P_minCorresponding maximum head value H_maxThe pressure balance of the ESP electric pump unit is calculated by the following formula (namely the pressure balance relation of the ESP electric pump unit):

wherein rho is the density of the oil well fluid, and g is the gravity acceleration; p_{Oil pressure}Passing the hydrocarbons from bottom of the well by tubing pressure, i.e. flow pressureResidual pressure after the oil pipe is lifted to a wellhead; p_{Liquid column}Liquid column pressure, pressure due to acceleration and gravity in the multi-pipe flow; p_{Friction resistance}Is the flow friction drag pressure, i.e. the pressure generated by friction losses in the tubing; p_{Oil pressure}、P_{Liquid column}、P_{Friction resistance}The sum of the three is the pump outlet pressure value;

the relevant data and calculation results obtained in this step are shown in the following table:

and step 3: the frequency converter built-in controller of the ESP is based on the minimum allowable pump inlet pressure value P_minCorresponding maximum fluid production Q_maxAnd its corresponding maximum lift value H_maxPassing the pump characteristic curve under the ESP frequency conversion (namely, the minimum allowable pump inlet pressure value P)_minCorresponding maximum fluid production Q_maxAnd its corresponding maximum lift value H_maxAnd is brought into a pump characteristic curve formula under the ESP frequency conversion), and the inlet pressure value P of the pump reaching the minimum allowable value is calculated_minCorresponding maximum fluid production Q_maxDesired target frequency value f_maxThen the frequency converter built-in controller of the ESP modulates the running frequency of the ESP to the target frequency value f_max；

Wherein the minimum allowable pump inlet pressure value P is calculated_minCorresponding maximum fluid production Q_maxDesired target frequency value f_maxIs 59 Hz.

According to the method, on the basis of an electric pump monitoring system consisting of the pump working condition, the wellhead flowmeter and the frequency converter, the edge calculation can be carried out through the pump working condition and the data monitored by the wellhead pressure meter through the algorithm preset in the frequency converter of the ESP, the maximum productivity scheme of the oil well is pushed, the automatic frequency modulation of the ESP frequency converter is realized, the intelligent control of the ESP production excavation and submergence control is achieved, and the stable production regulation is ensured; in addition, the period of measuring the actual liquid production of the oil well through the wellhead metering flowmeter is long, the frequency is generally once a week, and the interval period of monitoring the inlet pressure value and the outlet pressure value of the pump through the pump working condition instrument is days.

Example 2

The correction approximate liquid production index k in the embodiment 1 of the invention is obtained through the following processes:

(1) the frequency converter built-in controller of the ESP acquires the frequency f of the recent 5 ESPs_mActual liquid production amount Q 'at (50 Hz)'_mObtaining corresponding actual liquid production amount Q'_mTemporal pump inlet pressure value P_imAnd pump outlet pressure value P_dmThen calculating to obtain the frequency f of the ESP according to a liquid pressure formula_mActual head H '(at 50 Hz)'_m(ii) a Wherein:

the actual liquid production amount Q'_mObtaining the historical metering data or re-metering data of the wellhead metering flowmeter, wherein the pump inlet pressure value P_imAnd pump outlet pressure value P_dmThe method is obtained through a pump working condition instrument hung on an ESP (electronic stability program) underground unit;

ESP frequency of f_mActual lift H'_mCalculated by the following formula:

wherein rho is the density of the oil well fluid, and g is the gravity acceleration;

the relevant data and calculation results obtained in this step are shown in the following table:

(2): an ESP frequency converter built-in controller calculates and obtains an actual lift H 'according to a pump characteristic curve under frequency conversion of the ESP frequency converter built-in controller'_mCorresponding theoretical fluid production Q_{f m}Then the ESP frequency is f_mActual liquid production amount Q 'at (50 Hz)'_mAnd theoretical fluid production Q_fmThe comparison results in 5 ESP frequencies of f_mDischarge correction factor K at (50Hz)_mTaking the average value as the analog measurement coefficient K of the ESP;

wherein the ESP frequency is f_mCorrection coefficient of time displacement K_mThe formula is as follows:

the relevant data and calculation results obtained in this step are shown in the following table:

(3): the frequency converter built-in controller of the ESP reacquires 5 real-time ESP frequencies f_nPump inlet pressure value P at (50Hz)_inAnd pump outlet pressure value P_dnAnd then calculating to obtain a corresponding simulated metering actual liquid production amount approximate value Q 'according to the pump characteristic curve under the ESP frequency conversion and the simulated metering coefficient K'_nFurther calculating to obtain an approximate value Q 'of the simulated measurement actual liquid production amount under the pressure difference of the pump outlet and the inlet of 5 units'_nOf 5 liquid production indexes k_nTaking the average value as the correction approximate liquid production index k of the ESP; wherein:

the pump inlet pressure value P_inPressure value P of pump outlet_dnThe method is obtained through a pump working condition instrument hung on an ESP (electronic stability program) underground unit;

frequency of ESP being frequency f_nActual liquid production amount approximate value Q 'of simulation measurement'_nThe method is calculated by the following steps:

calculating to obtain the frequency f of ESP according to a liquid pressure formula_nActual lift H'_nThe method comprises the following steps:

wherein rho is the density of the oil well fluid, and g is the gravity acceleration;

② the frequency f of ESP_n(50Hz) and the actual head H 'calculated in (1)'_nThe characteristic curve of the pump is brought into the ESP frequency conversion, and the ESP frequency f is obtained through calculation_nTheoretical fluid yield Q at (50Hz)_{f n}；

Calculating to obtain an approximate value Q 'of the actual liquid production amount of the simulated measurement according to the formula'_n：

Q′_n＝K×Q_fn(equation 5);

ESP frequency of f_nLiquid production index k at (50Hz)_nThe formula is as follows:

the relevant data and calculation results obtained in this step are shown in the following table:

example 3

The invention relates to an electric submersible pump unit (ESP) based on the intelligent edge computing control method for ESP production and excavation, which is described in embodiment 1 or 2.

The intelligent edge calculation regulation and control method suitable for the ESP production and excavation is written into a built-in controller of a frequency converter of the ESP in the form of program codes, the program codes are executed in the built-in controller of the frequency converter of the ESP, and the frequency is automatically regulated to a target frequency value required by the maximum liquid production amount corresponding to the minimum allowable pump inlet pressure value.

The ESP monitors the oil pressure at the bottom of the well in real time and is used for ensuring the stable operation of an ESP unit in a set boundary condition range.

Although the methods and techniques of the present invention have been described in terms of preferred embodiments, it will be apparent to those of ordinary skill in the art that variations and/or rearrangements of the methods and techniques described herein may be made without departing from the spirit and scope of the invention. It is expressly intended that all such similar substitutes and modifications apparent to those skilled in the art are deemed to be within the spirit, scope and content of the invention.