Condensate gas well productivity equation abnormity correction method based on cut-and-try method

Abstract

The invention discloses a condensate gas well productivity equation abnormity correction method based on a cut-and-trial method. The condensate gas well productivity equation abnormity correction method comprises the steps that the yield, bottom hole flowing pressure data and formation pressure data of a test well under multiple working systems are obtained; the yield comprises one or more of liquid yield, condensate oil yield, water yield and condensate gas yield; calculating the yield to obtain the total gas yield, and selecting stable flowing bottomhole pressure data under each working system; drawing a binomial productivity curve according to the formation pressure data, the total gas production and the selected bottomhole flowing pressure data, and correcting the binomial productivity curve through a cut-and-try method to enable a correlation coefficient of the binomial productivity curve to be close to 1; and drawing an exponential productivity curve according to the formation pressure data, the total gas production and the selected bottomhole flowing pressure data, and correcting the exponential productivity curve through a cut-and-trial method to enable the correlation coefficient of the exponential productivity curve to be close to 1.

Description

Technical Field

[0001] The invention relates to the technical field of oil and gas field exploration and development, and in particular to a method for correcting anomalies in a condensate gas well productivity equation based on a trial-and-error method. Background Art

[0002] The open flow rate is the theoretical upper limit of production capacity and is used to evaluate the potential production capacity of oil and gas wells. This parameter can evaluate the potential production capacity of oil and gas wells, understand the maximum production capacity of oil and gas wells under ideal conditions, and provide data support for the development planning and production decision-making of oil and gas fields; it can also guide the formulation of production systems and formulate production systems more reasonably (such as oil production rate, water injection scheme, etc.) to fully utilize the production capacity of oil and gas wells while avoiding excessive damage to oil and gas layers. In addition, the open flow rate can predict the development life of oil and gas fields: by comparing the actual production capacity of oil and gas wells with the open flow rate, the development life of oil and gas fields and the remaining recoverable reserves can be predicted, providing guidance for the long-term development and management of oil and gas fields. During the development stage of oil and gas fields, production capacity tests are carried out to obtain the stable flow pressure, production, oil pressure and gas-oil ratio relative to the stable production of each working system, and the open flow rate is calculated through conventional binomial and exponential production capacity equations.

[0003] When using conventional binomial and exponential production capacity equations to calculate the production capacity of low-permeability condensate gas wells, the slope of the binomial production capacity equation is easily negative due to the existence of condensation, and the exponent of the exponential production capacity equation is greater than 1. Such abnormal conditions make it impossible to calculate the accurate open-flow rate. In response to the abnormal conditions of the conventional production capacity equation, the trinomial production capacity equation was proposed and widely used. Through the trinomial equation, important parameters such as the seepage resistance coefficient and critical production of oil and gas wells can be determined more accurately. In complex oil and gas reservoirs such as abnormally high pressure and low permeability, the seepage process of oil and gas often has non-Darcy flow effects (such as starting pressure gradient, slippage effect, etc.). The trinomial production capacity equation can better reflect the impact of these non-Darcy flow effects on the production capacity of oil and gas wells by introducing higher-order terms.

[0004] At present, the trinomial capacity equation can well solve the abnormal situation of negative coefficient of binomial capacity equation, but it cannot handle the abnormal situation of exponential capacity equation, and the calculation result is too small when calculating the open-flow rate of some condensate gas wells. In order to obtain accurate open-flow rate to guide production, especially when the conventional capacity calculation method is abnormal, multiple methods should be used to calculate and verify the accuracy of open-flow rate. The trial and error method considers the influence of various factors on the flow pressure data, and introduces the correction pressure to handle the abnormal situation of binomial and exponential capacity equations.

[0005] Based on this, the cubic capacity equation cannot handle all abnormal capacity calculation situations of condensate gas wells. The trial and error method should be used to correct the binomial and exponential capacity equations to calculate the accurate open flow rate and correctly evaluate the capacity of condensate gas reservoirs. Summary of the invention

[0006] The purpose of the present invention is to provide a method for correcting the abnormality of the productivity equation of a condensate gas well based on a trial-and-error method, so as to accurately obtain the open flow rate when the conventional productivity calculation of a condensate gas reservoir is abnormal.

[0007] The embodiment of the present invention provides a method for correcting anomalies in a condensate gas well productivity equation based on a trial-and-error method, comprising:

[0008] Obtaining the production, bottom hole flow pressure data, and formation pressure data of the test well under multiple working systems; the production includes one or more of liquid production, condensate oil production, water production, and condensate gas production;

[0009] The production is calculated to obtain the total gas production, and stable bottom hole flow pressure data under each working system is selected;

[0010] Draw a binomial productivity curve according to the formation pressure data, the total gas production and the selected bottom hole flow pressure data, and correct the binomial productivity curve by trial and error so that the correlation coefficient of the binomial productivity curve is close to 1;

[0011] Draw an exponential productivity curve according to the formation pressure data, the total gas production and the selected bottom hole flow pressure data, and correct the exponential productivity curve by trial and error so that the correlation coefficient of the exponential productivity curve is close to 1;

[0012] Obtain the linear fitting function coefficient when the correlation coefficient of the binomial capacity curve is closest to 1, and the power fitting function coefficient when the correlation coefficient of the exponential capacity curve is closest to 1, and calculate the binomial and exponential capacity equations through the fitting function coefficients and the power fitting function coefficients to obtain the unimpeded flow.

[0013] Furthermore, the test well is a condensate gas well, and the multiple working systems are four or more working systems changed for the system well test.

[0014] Furthermore, the production is calculated to obtain the total gas production, and stable bottom hole pressure data under each working system is selected, specifically:

[0015] The condensate production is converted into natural gas production using the formula:

[0016] q GE =5.449×10 -2 (1.03-γ o )q o

[0017] Among them, q GE is the conversion of condensate oil production into natural gas production; γ0 is the relative density of condensate oil; q0 is the condensate oil production;

[0018] The natural gas production and the condensate gas production are added together to obtain the total gas production.

[0019] Furthermore, the binomial production capacity curve is drawn according to the formation pressure data, the total gas production and the selected bottom hole flow pressure data, and the binomial production capacity curve is corrected by trial and error so that the correlation coefficient of the binomial production capacity curve is close to 1, specifically:

[0020] The binomial capacity curve is (P R 2 -(P wf +Δp) 2 ) / q and q relationship curve, where (P R 2 -(P wf +Δp) 2 ) / q is the y-axis, q is the x-axis, P R is the formation pressure data; P wf is the bottom hole flow pressure data of each working system; Δp is the correction pressure of the trial and error method; q is the total gas production;

[0021] Perform a linear fit on the binomial capacity curve, and adjust the correction pressure Δp until the linear fitting correlation coefficient of the binomial capacity curve is close to 1. If the binomial capacity curve is convex, the correction pressure Δp value is too large, and the correction pressure Δp value is reduced; if the binomial capacity curve is concave, the correction pressure Δp value is too small, and the correction pressure Δp value is increased; wherein the correlation coefficient is the correlation degree of the linear fit.

[0022] Furthermore, the exponential capacity curve is drawn according to the formation pressure data, the total gas production and the selected bottom hole flow pressure data, and the exponential capacity curve is corrected by trial and error so that the correlation coefficient of the exponential capacity curve is close to 1, specifically:

[0023] The exponential capacity curve is (P R 2 -(P wf +Δp) 2 ) and q, where (P R 2 -(P wf +Δp) 2 ) is the x-axis, q is the y-axis, P R is the formation pressure data; P wf is the bottom hole flow pressure data of each working system; Δp is the correction pressure of the trial and error method; q is the total gas production;

[0024] Perform power fitting on the exponential capacity curve, and adjust the correction pressure Δp until the power fitting correlation coefficient of the exponential capacity curve is close to 1. If the exponential capacity curve relationship curve is convex, the correction pressure Δp value is too large, and the correction pressure Δp value is reduced; if the exponential capacity curve is concave, the correction pressure Δp value is too small, and the correction pressure Δp value is increased; wherein the correlation coefficient is the correlation degree of the power fitting.

[0025] Further, the binomial capacity curve is converted into a linear fitting function, the linear fitting function is in the form of y=Bx+A, so as to obtain A value and B value;

[0026] The exponential capacity curve is converted into a power fitting function, and the power fitting function is in the form of y=Cx N , to obtain C value and N value;

[0027] Substitute the A value, B value, C value and N value into the following formula to obtain the unimpeded flow rate:

[0028]

[0029] Among them, q AOF is the unimpeded flow rate, P R The formation pressure data.

[0030] The present invention has at least the following beneficial effects:

[0031] The test well in the present invention is a condensate gas well, and the production includes one or more of liquid production, condensate oil production, water production, and condensate gas production; the binomial production capacity curve of the present invention is (P R 2 -(P wf +Δp) 2 ) / q and q, the exponential capacity curve is q and P R 2 -(P wf +Δp) 2 The relationship curve of the conventional binomial and exponential production capacity equations is corrected by trial and error method, so that the correlation coefficient of the fitting function of the binomial production capacity curve and the exponential production capacity curve is closest to 1. In this way, the abnormal situation that the slope of the conventional binomial production capacity equation of condensate gas wells is negative and the exponent of the exponential production capacity equation is greater than 1 is handled, and a more accurate open flow rate is calculated according to the coefficient of the fitting function, so that the production capacity evaluation of condensate gas reservoirs is more accurate.

[0032] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a flow chart of the abnormal correction method of the condensate gas well productivity equation based on the trial and error method of the present invention;

[0034] Figure 2 It is a schematic diagram of a gas well system well test in the present invention;

[0035] Figure 3 It is a schematic diagram of the abnormality of the conventional binomial curve in the present invention;

[0036] Figure 4 It is a schematic diagram of the binomial capacity curve corrected by the trial and error method in the present invention;

[0037] Figure 5 This is the production and pressure curve of a gas well on site;

[0038] Figure 6 This is a binomial production curve of a gas well on site after trial and error correction;

[0039] Figure 7 This is the exponential production capacity curve of a gas well on site after correction by trial and error. DETAILED DESCRIPTION

[0040] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0041] In the description of the present invention, it is necessary to understand that the terms "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0042] Example 1: Combination Figure 1-7 This embodiment is described.

[0043] The embodiment of the present invention provides a method for correcting anomalies in a condensate gas well productivity equation based on a trial-and-error method, comprising:

[0044] Obtaining the production, bottom hole flow pressure data, and formation pressure data of the test well under multiple working systems; the production includes one or more of liquid production, condensate oil production, water production, and condensate gas production;

[0045] The production is calculated to obtain the total gas production, and stable bottom hole flow pressure data under each working system is selected;

[0046] Draw a binomial productivity curve according to the formation pressure data, the total gas production and the selected bottom hole flow pressure data, and correct the binomial productivity curve by trial and error so that the correlation coefficient of the binomial productivity curve is close to 1;

[0047] Draw an exponential productivity curve according to the formation pressure data, the total gas production and the selected bottom hole flow pressure data, and correct the exponential productivity curve by trial and error so that the correlation coefficient of the exponential productivity curve is close to 1;

[0048] Obtain the linear fitting function coefficient when the correlation coefficient of the binomial capacity curve is closest to 1, and the power fitting function coefficient when the correlation coefficient of the exponential capacity curve is closest to 1, and calculate the binomial and exponential capacity equations through the fitting function coefficients and the power fitting function coefficients to obtain the unimpeded flow.

[0049] The unimpeded flow rate in the present invention is the maximum flow rate of oil and gas flowing from the formation into the wellbore when the bottom hole flow pressure drops to atmospheric pressure, that is, when the bottom hole pressure is 0, during the production process of the oil well or gas well; this flow rate is the theoretical maximum production without any obstruction or restriction; the unimpeded flow rate plays an important role in oil and gas production. It is not only a key indicator for evaluating the potential of oil and gas wells, but also an important basis for guiding production decisions, optimizing production processes, reducing production costs and reducing environmental pollution. The method for dealing with abnormal situations of conventional production capacity equations in the prior art is mainly the cubic production capacity equation, which has certain limitations in calculating the unimpeded flow rate of condensate gas wells.

[0050] The test well in the present invention is a condensate gas well, and the production includes one or more of liquid production, condensate oil production, water production, and condensate gas production; the binomial production capacity curve of the present invention is (P R 2 -(P wf +Δp) 2 ) / q and q, the exponential capacity curve is q and P R 2 -(P wf +Δp) 2 The relationship curve of the conventional binomial and exponential production capacity equations is corrected by trial and error method, so that the correlation coefficient of the fitting function of the binomial production capacity curve and the exponential production capacity curve is closest to 1. In this way, the abnormal situation that the slope of the conventional binomial production capacity equation of condensate gas wells is negative and the exponent of the exponential production capacity equation is greater than 1 is handled, and a more accurate open flow rate is calculated according to the coefficient of the fitting function, so that the production capacity evaluation of condensate gas reservoirs is more accurate.

[0051] Furthermore, the test well is a condensate gas well, and the multiple working systems are four or more working systems changed for the system well test.

[0052] Multiple working systems are four or more working systems that are changed for system well testing; the system well testing is continuous production at more than 4 different stable production rates (generally achieved by adjusting different nozzles), usually taking a procedure of gradually increasing production from a small production rate (small nozzle), requiring the flow pressure of each production rate (nozzle) to be stable, and measuring the stable production of each nozzle during production, the corresponding stable flow pressure, oil pressure, gas-oil ratio, etc.

[0053] Furthermore, the production is calculated to obtain the total gas production, and stable bottom hole pressure data under each working system is selected, specifically:

[0054] The condensate production is converted into natural gas production using the formula:

[0055] q GE =5.449×10 -2 (1.03-γ o )q o

[0056] Among them, q GE is the conversion of condensate oil production into natural gas production; γ0 is the relative density of condensate oil; q0 is the condensate oil production;

[0057] The natural gas production and the condensate gas production are added together to obtain the total gas production.

[0058] The total gas production is the sum of the condensate gas production and the natural gas production converted from the condensate oil. The bottom hole flow pressure data can be selected from the pressure gauge pressure at the end of each working system, such as Figure 2 P wf1 , P wf2 , P wf3 and P wf4 .

[0059] Furthermore, the binomial production capacity curve is drawn according to the formation pressure data, the total gas production and the selected bottom hole flow pressure data, and the binomial production capacity curve is corrected by trial and error so that the correlation coefficient of the binomial production capacity curve is close to 1, specifically:

[0060] The binomial capacity curve is (P R 2 -(P wf +Δp) 2 ) / q and q relationship curve, where (P R 2 -(P wf +Δp) 2 ) / q is the y-axis, q is the x-axis, P R is the formation pressure data; P wf is the bottom hole flow pressure data of each working system; Δp is the correction pressure of the trial and error method; q is the total gas production;

[0061] Perform a linear fit on the binomial capacity curve, and adjust the correction pressure Δp until the linear fitting correlation coefficient of the binomial capacity curve is close to 1. If the binomial capacity curve is convex, the correction pressure Δp value is too large, and the correction pressure Δp value is reduced; if the binomial capacity curve is concave, the correction pressure Δp value is too small, and the correction pressure Δp value is increased; wherein the correlation coefficient is the correlation degree of the linear fit.

[0062] When adjusting the value of the correction pressure Δp, if the relationship curve is convex, the correction pressure Δp value is too large and the correction pressure Δp value should be reduced; if the relationship curve is concave, the correction pressure Δp value is too small and the correction pressure Δp value should be increased. Figure 3 This is the conventional binomial production capacity curve of a condensate gas well, which has a negative slope anomaly, as shown in the figure. In this abnormal case, the relationship curve is generally concave, so the initial value of the correction pressure Δp should be a positive number. Figure 4 This is the quadratic capacity curve after correction by trial and error method. It can be seen that the correlation coefficient R 2 It is 0.9971, which is very close to 1. In actual trial and error adjustment, the correlation coefficient may not reach 1, so just make it as close to 1 as possible. The correction pressure Δp value can make the correlation coefficient closest to 1 when it is at an appropriate value. A value greater than or less than this value will make the correlation coefficient smaller. The correlation coefficient is the degree of correlation of the linear fit. The closer its value is to 1, the better the fitting effect, and the maximum value is 1.

[0063] Furthermore, the exponential capacity curve is drawn according to the formation pressure data, the total gas production and the selected bottom hole flow pressure data, and the exponential capacity curve is corrected by trial and error so that the correlation coefficient of the exponential capacity curve is close to 1, specifically:

[0064] The exponential capacity curve is (P R 2 -(P wf +Δp) 2 ) and q, where (P R 2 -(P wf +Δp) 2 ) is the x-axis, q is the y-axis, P R is the formation pressure data; P wf is the bottom hole flow pressure data of each working system; Δp is the correction pressure of the trial and error method; q is the total gas production;

[0065] Perform power fitting on the exponential capacity curve, and adjust the correction pressure Δp until the power fitting correlation coefficient of the exponential capacity curve is close to 1. If the exponential capacity curve relationship curve is convex, the correction pressure Δp value is too large, and the correction pressure Δp value is reduced; if the exponential capacity curve is concave, the correction pressure Δp value is too small, and the correction pressure Δp value is increased; wherein the correlation coefficient is the correlation degree of the power fitting.

[0066] The exponential capacity curve has q as the y-axis and P R 2 -(P wf +Δp) 2 The relationship curve of the x-axis is fitted with power, and the correction pressure Δp value is adjusted until the correlation coefficient is close to 1. The adjustment method is the same as the binomial capacity curve adjustment method. The correction pressure Δp is also adjusted from a positive number. The correlation coefficient is the correlation degree of the power fit. The closer its value is to 1, the better the fitting effect, and the maximum value is 1.

[0067] Further, the binomial capacity curve is converted into a linear fitting function, the linear fitting function is in the form of y=Bx+A, so as to obtain A value and B value;

[0068] The exponential capacity curve is converted into a power fitting function, and the power fitting function is in the form of y=Cx N , to obtain C value and N value;

[0069] Substitute the A value, B value, C value and N value into the following formula to obtain the unimpeded flow rate:

[0070]

[0071] Among them, q AOF is the unimpeded flow rate, P R The formation pressure data.

[0072] Obtain the fitting function coefficients when the correlation coefficients of the binomial capacity curve and the exponential capacity curve are closest to 1, that is, the A value and B value of the binomial capacity curve (the function form is y=Bx+A), the C value and N value of the exponential capacity curve (the function form is y=Cx N ).like Figure 4 The binomial capacity curve after correction has A=0.3889 and B=0.0016.

[0073] Open flow rate refers to the maximum production that an oil and gas well can achieve under ideal conditions, that is, when the bottom hole pressure is zero.

[0074] The present invention is further described below in conjunction with test data of a condensate gas well.

[0075] A condensate gas well in the buried hill reservoir was tested by open hole completion. The well was completed to a depth of 5128m (4973m vertical depth) and the overall thickness of the test section was 296.5m (260.6m vertical thickness). During the well opening and production phase, five working system tests were conducted by adjusting the nozzle. After the last working system test was completed, the well was shut down for pressure recovery test. The storage pressure gauge on the test string obtained the bottom hole pressure change data during the test. The production and bottom hole pressure change over time are shown in Figure 2. Figure 5 As shown, the pressure before well production is 45.32 MPa as the formation pressure.

[0076] The relative density of condensate oil is generally 0.72-0.8. Taking the relative density of condensate oil as 0.75, the daily production of condensate oil is converted into daily production of natural gas through formula 1, and the daily production of natural gas is added to obtain the total daily production of natural gas. Table 1 is the production capacity test result table, selected from Figure 5 Flow pressure at the end of each work system.

[0077] Table 1 Capacity test results

[0078]

[0079]

[0080] like Figure 5 As shown, the moisture content of the fifth working system is too high, which shows that the pressure of the fifth working system is not stable and the pressure drop is larger than that of other working systems. The first four working systems are selected for capacity calculation. Figure 6 As shown, with q as the x-axis and (PR2-(Pwf+Δp)2) / q as the y-axis, a binomial capacity curve is drawn. When the correction pressure Δp is adjusted to 6.65MPa, the correlation coefficient R2 reaches 0.9972, which is closest to 1. At this time, the linear fitting effect is the best, and the slope B is positive, so the capacity calculation can be performed normally.

[0081] Among them, PR is the formation pressure; Pwf is the bottom hole flowing pressure of each working system; Δp is the correction pressure of the trial and error method; q is the total daily natural gas production.

[0082] like Figure 7 As shown in the figure, the first four working systems are selected for capacity calculation, with q as the y-axis and P as the R 2 -(P wf +Δp) 2 Draw an exponential capacity curve for the x-axis and adjust the correlation coefficient R when the correction pressure Δp=6.65MPa 2 When the value reaches 0.9992, it is closest to 1. At this time, the linear fitting effect is the best, and the exponent N is less than 1, so the capacity calculation can be performed normally.

[0083] Depend on Figure 6 and Figure 7 It can be seen that A=0.4247, B=0.1434, C=2.0846, N=0.5392. Substitute each value into the formula:

[0084]

[0085] The binomial and exponential unimpeded flow q are calculated AOF They are 118.21×10 4 m 3 / d and 127.40×10 4 m 3 / d.

[0086] It should also be noted that the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of further restrictions, the elements defined by the sentence "includes one..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements. The words "first", "second" and the like are used to indicate names, but do not indicate any specific order. The above schematically describes the invention and its implementation methods, which is not restrictive. The invention can be implemented in other specific forms without departing from the spirit or basic features of the invention. What is shown in the accompanying drawings is only one of the implementation methods of the invention, and the actual structure is not limited thereto. Any figure mark in the claims should not limit the claims involved. Therefore, if a person of ordinary skill in the art is inspired by it, and does not deviate from the purpose of the invention, and designs a structural mode and an embodiment similar to the technical solution without creativity, they should all belong to the scope of protection of this patent.

Claims

1. A method for correcting the abnormality of the productivity equation of condensate gas wells based on trial and error, characterized by: include: Obtaining the production, bottom hole flow pressure data, and formation pressure data of the test well under multiple working systems; the production includes one or more of liquid production, condensate oil production, water production, and condensate gas production; The production is calculated to obtain the total gas production, and stable bottom hole flow pressure data under each working system is selected; Draw a binomial productivity curve according to the formation pressure data, the total gas production and the selected bottom hole flow pressure data, and correct the binomial productivity curve by trial and error so that the correlation coefficient of the binomial productivity curve is close to 1; Draw an exponential productivity curve according to the formation pressure data, the total gas production and the selected bottom hole flow pressure data, and correct the exponential productivity curve by trial and error so that the correlation coefficient of the exponential productivity curve is close to 1; Obtain the linear fitting function coefficient when the correlation coefficient of the binomial capacity curve is closest to 1, and the power fitting function coefficient when the correlation coefficient of the exponential capacity curve is closest to 1, and calculate the binomial and exponential capacity equations through the fitting function coefficients and the power fitting function coefficients to obtain the unimpeded flow.

2. The method for correcting anomaly of the productivity equation of condensate gas wells based on trial and error method according to claim 1, characterized in that: The test well is a condensate gas well, and the multiple working systems are four or more working systems changed for the system well test.

3. The method for correcting anomaly of the productivity equation of condensate gas wells based on trial and error as claimed in claim 1, characterized in that: The total gas production is obtained by calculating the production, and the stable bottom hole flow pressure data under each working system is selected, specifically: The condensate production is converted into natural gas production using the formula: q GE =5.449×10 -2 (1.03-γ o )q o Among them, q GE is the conversion of condensate oil production into natural gas production; γ0 is the relative density of condensate oil; q0 is the condensate oil production; The natural gas production and the condensate gas production are added together to obtain the total gas production.

4. The method for correcting anomaly of the productivity equation of condensate gas wells based on trial and error as claimed in claim 1, characterized in that: The binomial production capacity curve is drawn according to the formation pressure data, the total gas production and the selected bottom hole flow pressure data, and the binomial production capacity curve is corrected by trial and error method so that the correlation coefficient of the binomial production capacity curve is close to 1, specifically: The binomial capacity curve is (P R 2 -(P wf +Δp) 2 ) / q and q, where (P R 2 -(P wf +Δp) 2 ) / q is the y-axis, q is the x-axis, P R is the formation pressure data; P wf is the bottom hole flow pressure data of each working system; Δp is the correction pressure of the trial and error method; q is the total gas production; Perform a linear fit on the binomial capacity curve, and adjust the correction pressure Δp until the linear fitting correlation coefficient of the binomial capacity curve is close to 1. If the binomial capacity curve is convex, the correction pressure Δp value is too large, and the correction pressure Δp value is reduced; if the binomial capacity curve is concave, the correction pressure Δp value is too small, and the correction pressure Δp value is increased; wherein the correlation coefficient is the correlation degree of the linear fit.

5. The method for correcting anomaly of the productivity equation of condensate gas wells based on trial and error method according to claim 1, characterized in that: The exponential capacity curve is drawn according to the formation pressure data, the total gas production and the selected bottom hole flow pressure data, and the exponential capacity curve is corrected by trial and error so that the correlation coefficient of the exponential capacity curve is close to 1, specifically: The exponential capacity curve is (P R 2 -(P wf +Δp) 2 ) and q, where (P R 2 -(P wf +Δp) 2 ) is the x-axis, q is the y-axis, P R is the formation pressure data; P wf is the bottom hole flow pressure data of each working system; Δp is the correction pressure of the trial and error method; q is the total gas production; Perform power fitting on the exponential capacity curve, and adjust the correction pressure Δp until the power fitting correlation coefficient of the exponential capacity curve is close to 1. If the exponential capacity curve relationship curve is convex, the correction pressure Δp value is too large, and the correction pressure Δp value is reduced; if the exponential capacity curve is concave, the correction pressure Δp value is too small, and the correction pressure Δp value is increased; wherein the correlation coefficient is the correlation degree of the power fitting.

6. The method for correcting anomaly of condensate gas well productivity equation based on trial and error method according to claim 1, characterized in that: Convert the binomial capacity curve into a linear fitting function, the linear fitting function is in the form of y=Bx+A, to obtain A value and B value; The exponential capacity curve is converted into a power fitting function, and the power fitting function is in the form of y=Cx N , to obtain C value and N value; Substitute the A value, B value, C value and N value into the following formula to obtain the unimpeded flow rate: Among them, q AOF is the unimpeded flow rate, P R The formation pressure data.

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