CN114810013B - Method and device for determining gas suction capacity of gas storage gas injection well and gas production well gas supply capacity - Google Patents

Method and device for determining gas suction capacity of gas storage gas injection well and gas production well gas supply capacity Download PDF

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CN114810013B
CN114810013B CN202110082348.XA CN202110082348A CN114810013B CN 114810013 B CN114810013 B CN 114810013B CN 202110082348 A CN202110082348 A CN 202110082348A CN 114810013 B CN114810013 B CN 114810013B
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well
capacity
gas injection
determining
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CN114810013A (en
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唐立根
丁国生
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Petrochina Co Ltd
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    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/16Enhanced recovery methods for obtaining hydrocarbons
    • E21B43/166Injecting a gaseous medium; Injecting a gaseous medium and a liquid medium
    • E21B43/168Injecting a gaseous medium
    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00Survey of boreholes or wells

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Abstract

The invention discloses a method and a device for determining the gas suction capacity of a gas storage gas injection well and the gas supply capacity of a gas production well, wherein the method for determining the gas suction capacity of the gas storage gas injection well comprises the following steps: according to actual production data and theoretical production data of the gas injection well of the gas storage, carrying out unstable analysis on the yield of the gas injection well, and determining seepage parameters of the gas injection well; determining laminar flow coefficients and turbulent flow coefficients of the gas injection well according to seepage parameters of the gas injection well; substituting the laminar flow coefficient and the turbulent flow coefficient of the gas injection well into a binomial capacity equation of the gas injection well, and determining a capacity equation of the real-time gas suction capacity of the gas injection well; according to the capacity equation of the real-time air suction capacity of the air injection well, the real-time air suction capacity of the air injection well is determined, the yield instability analysis of the air injection well is carried out based on the actual production data and the theoretical production data of the air injection well of the air storage, the change of the seepage range and the stratum permeability of the air injection well during air injection of the air storage is fully considered, and the calculation accuracy of the real-time air suction capacity of the air injection well can be improved.

Description

Method and device for determining gas suction capacity of gas storage gas injection well and gas production well gas supply capacity
Technical Field
The invention relates to the technical field of underground storage, gas injection and production engineering and gas reservoir engineering of natural gas, in particular to a method and a device for determining the gas suction capacity of a gas injection well and the gas supply capacity of a gas production well of a gas storage.
Background
In order to supply air to the market in winter, the air storage needs to be kept in a full state by taking full air in summer, an important index for measuring the speed of taking full air in the air storage is air suction capacity, an important index for measuring the air supply capacity of the air storage to the market is air supply capacity, the air suction capacity/air supply capacity of the whole air storage is provided by one air storage well, the air storage wells comprise an air injection vertical well, an air injection horizontal well, an air extraction vertical well and an air extraction horizontal well, wherein the horizontal well is the well with the largest injection and extraction amount, and the vertical well is the well with the largest number.
At present, the method for acquiring the gas suction capacity of a gas storage gas injection well and the gas supply capacity of a gas production well during actual gas injection is limited, the variation of the stratum seepage range and the stratum permeability in the actual gas injection/gas production process of the gas injection well/gas production well is basically not considered, the most widely applied method is well test, a gas injection well gas suction capacity equation and a gas production well gas supply capacity equation can be obtained according to well test, but the method completely does not consider the difference between the well test and the stratum seepage range of the gas storage actual gas injection/gas production well, the variation of the stratum permeability of the subsequent gas injection/gas production well is not considered, the stratum seepage range and the stratum permeability are easily known according to the classical seepage law of gas in the stratum, the stratum permeability range and the stratum permeability are in negative correlation, the current well test acquires the stratum supply range which is larger than the actual stratum permeability, and the calculated gas injection well gas suction capacity and gas production well gas permeability are smaller, so that the calculation accuracy of the gas injection well gas suction capacity and the gas production well gas supply capacity is poorer, in calculation accuracy, in addition, the theoretical calculation method can calculate the gas injection well gas suction capacity and gas production well gas permeability, and the accuracy are also poorer in accuracy, and the accuracy of the calculation of the same, the accuracy and the accuracy of the parameters in the theoretical formula are not estimated, but the accuracy is poor, and the accuracy is only can be estimated, but the accuracy is estimated, and the accuracy of the accuracy is in the accuracy, and the parameters in the measurement and the accuracy, and the accuracy is.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the invention provides a method for determining the air suction capacity of an air storage gas injection well, which is used for improving the calculation accuracy of the air suction capacity of the air storage gas injection well, and comprises the following steps:
according to actual production data and theoretical production data of the gas injection well of the gas storage, carrying out unstable analysis on the yield of the gas injection well, and determining seepage parameters of the gas injection well;
determining laminar flow coefficients and turbulent flow coefficients of the gas injection well according to seepage parameters of the gas injection well;
Substituting the laminar flow coefficient and the turbulent flow coefficient of the gas injection well into a binomial capacity equation of the gas injection well, and determining a capacity equation of the real-time gas suction capacity of the gas injection well;
Determining the real-time air suction capacity of the air injection well according to the capacity equation of the real-time air suction capacity of the air injection well;
Further comprises:
According to the result of the unstable analysis of the yield, a preset number of dimensionless gas injection data are selected from theoretical production data of the gas injection well;
performing numerical inversion on the dimensionless gas injection data, and determining the pressure and the gas injection quantity corresponding to the dimensionless gas injection data;
substituting the pressure and the gas injection quantity corresponding to the dimensionless gas injection data into a gas well binomial capacity equation to obtain a laminar flow coefficient and a turbulent flow coefficient of the gas injection well corresponding to the dimensionless gas injection data;
according to laminar flow coefficients and turbulent flow coefficients of the gas injection well corresponding to dimensionless gas injection data, adjusting a capacity equation of the real-time gas suction capacity of the gas injection well;
Determining the real-time inspiratory capacity of the gas injection well according to the capacity equation of the real-time inspiratory capacity of the gas injection well, comprising:
determining the real-time air suction capacity of the gas injection well according to the capacity equation of the adjusted real-time air suction capacity of the gas injection well;
Or further comprising:
screening target actual production data with highest fitting degree with theoretical production data from actual production data of the gas injection well according to the result of the unstable yield analysis;
Substituting the target actual production data into a gas well binomial productivity equation to obtain laminar flow coefficients and turbulent flow coefficients of the gas injection well corresponding to the target actual production data;
According to laminar flow coefficients and turbulent flow coefficients of the gas injection well corresponding to target actual production data, adjusting a capacity equation of the real-time air suction capacity of the gas injection well;
Determining the real-time inspiratory capacity of the gas injection well according to the capacity equation of the real-time inspiratory capacity of the gas injection well, comprising:
And determining the real-time air suction capacity of the gas injection well according to the capacity equation of the adjusted real-time air suction capacity of the gas injection well.
The embodiment of the invention provides a gas storage gas injection well gas suction capacity determining device, which is used for improving the accuracy of the gas storage gas injection well gas suction capacity, and comprises the following steps:
the seepage parameter determining module of the gas injection well is used for carrying out unstable analysis on the yield of the gas injection well according to the actual production data and the theoretical production data of the gas injection well of the gas storage, and determining the seepage parameter of the gas injection well;
the laminar flow coefficient and turbulence coefficient determining module is used for determining the laminar flow coefficient and the turbulence coefficient of the gas injection well according to the seepage parameters of the gas injection well;
The gas injection well capacity equation determining module is used for substituting the laminar flow coefficient and the turbulent flow coefficient of the gas injection well into a gas well binomial capacity equation to determine a capacity equation of the real-time air suction capacity of the gas injection well;
The gas injection well gas suction capacity determining module is used for determining the real-time gas suction capacity of the gas injection well according to the capacity equation of the real-time gas suction capacity of the gas injection well;
the gas injection well suction capacity determination module is further configured to:
according to the result of the unstable analysis of the yield, a preset number of dimensionless gas injection data are selected from theoretical production data of the gas injection well; performing numerical inversion on the dimensionless gas injection data, and determining the pressure and the gas injection quantity corresponding to the dimensionless gas injection data; substituting the pressure and the gas injection quantity corresponding to the dimensionless gas injection data into a gas well binomial capacity equation to obtain a laminar flow coefficient and a turbulent flow coefficient of the gas injection well corresponding to the dimensionless gas injection data; according to laminar flow coefficients and turbulent flow coefficients of the gas injection well corresponding to dimensionless gas injection data, adjusting a capacity equation of the real-time gas suction capacity of the gas injection well; and determining the real-time air suction capacity of the gas injection well according to the capacity equation of the adjusted real-time air suction capacity of the gas injection well.
The embodiment of the invention provides a method for determining the gas production capacity of a gas storage gas well, which is used for improving the precision of the gas production capacity of the gas storage gas well, and comprises the following steps:
According to actual production data and theoretical production data of the gas production well of the gas storage, carrying out unstable analysis on the yield of the gas production well, and determining seepage parameters of the gas production well;
Determining laminar flow coefficients and turbulent flow coefficients of the gas production well according to seepage parameters of the gas production well;
Substituting the laminar flow coefficient and the turbulent flow coefficient of the gas production well into a binomial productivity equation of the gas production well, and determining a productivity equation of the real-time gas supply capacity of the gas production well;
determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well; further comprises:
according to the result of the unstable analysis of the yield, a preset number of dimensionless gas production data are selected from the theoretical production data of the gas production well;
Performing numerical inversion on dimensionless gas production data, and determining pressure and gas production corresponding to the dimensionless gas production data;
substituting the pressure and the gas production corresponding to the dimensionless gas production data into a binary capacity equation of the gas well to obtain a laminar flow coefficient and a turbulent flow coefficient of the gas production well corresponding to the dimensionless gas production data;
According to laminar flow coefficients and turbulent flow coefficients of the gas production well corresponding to the dimensionless gas production data, adjusting a capacity equation of the real-time gas supply capacity of the gas production well;
Determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well, comprising:
determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well after adjustment;
Or further comprising:
Screening target actual production data with highest fitting degree with theoretical production data from actual production data of a gas production well according to a result of the unstable analysis of the yield;
Substituting the target actual production data into a gas well binomial productivity equation to obtain laminar flow coefficients and turbulent flow coefficients of the gas production well corresponding to the target actual production data;
According to laminar flow coefficients and turbulent flow coefficients of the gas production well corresponding to the target actual production data, adjusting a capacity equation of the real-time gas supply capacity of the gas production well;
Determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well, comprising:
and determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well after adjustment.
The embodiment of the invention provides a gas production well gas supply capacity determining device for a gas storage, which is used for improving the precision of the gas production well gas supply capacity of the gas storage, and comprises the following components:
The seepage parameter determining module of the gas production well is used for carrying out unstable analysis on the yield of the gas production well according to the actual production data and the theoretical production data of the gas production well of the gas storage, and determining the seepage parameter of the gas production well;
The system comprises a gas production well laminar flow coefficient and turbulence coefficient determining module, a gas production well flow coefficient determining module and a gas production well flow coefficient determining module, wherein the gas production well laminar flow coefficient and turbulence coefficient determining module is used for determining the gas production well laminar flow coefficient and turbulence coefficient according to seepage parameters of the gas production well;
The production capacity equation determining module is used for substituting the laminar flow coefficient and the turbulent flow coefficient of the gas production well into the binomial production capacity equation of the gas production well to determine the production capacity equation of the real-time gas supply capacity of the gas production well;
the gas production well gas supply capacity determining module is used for determining the real-time gas production capacity of the gas production well according to the capacity equation of the real-time gas production capacity of the gas production well;
the gas production well air supply capacity determination module is also used for:
According to the result of the unstable analysis of the yield, a preset number of dimensionless gas production data are selected from the theoretical production data of the gas production well; performing numerical inversion on dimensionless gas production data, and determining pressure and gas production corresponding to the dimensionless gas production data; substituting the pressure and the gas production corresponding to the dimensionless gas production data into a binary capacity equation of the gas well to obtain a laminar flow coefficient and a turbulent flow coefficient of the gas production well corresponding to the dimensionless gas production data; according to laminar flow coefficients and turbulent flow coefficients of the gas production well corresponding to the dimensionless gas production data, adjusting a capacity equation of the real-time gas supply capacity of the gas production well; and determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well after adjustment.
The embodiment of the invention also provides computer equipment, which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the method for determining the gas suction capacity of the gas storage gas injection well and the method for determining the gas supply capacity of the gas storage gas production well are realized when the processor executes the computer program.
The embodiment of the invention also provides a computer readable storage medium, and the computer readable storage medium stores a computer program for executing the method for determining the air suction capacity of the air storage gas injection well and the method for determining the air supply capacity of the air storage gas production well.
The embodiment of the invention is as follows: according to actual production data and theoretical production data of the gas injection well of the gas storage, carrying out unstable analysis on the yield of the gas injection well, and determining seepage parameters of the gas injection well; determining laminar flow coefficients and turbulent flow coefficients of the gas injection well according to seepage parameters of the gas injection well; substituting the laminar flow coefficient and the turbulent flow coefficient of the gas injection well into a binomial capacity equation of the gas injection well, and determining a capacity equation of the real-time gas suction capacity of the gas injection well; according to the capacity equation of the real-time air suction capacity of the air injection well, the real-time air suction capacity of the air injection well is determined, the yield instability analysis of the air injection well is carried out based on the actual production data and the theoretical production data of the air injection well of the air storage, the seepage parameters of the air injection well with higher accuracy can be obtained, the seepage range and the change of stratum permeability of the air injection well during air injection of the air storage are fully considered, the calculation precision of the real-time air suction capacity of the air injection well can be further improved, and a reliable basis is provided for accurately predicting the integral air suction capacity of the air storage in summer.
According to actual production data and theoretical production data of the gas production well of the gas storage, carrying out unstable analysis on the yield of the gas production well, and determining seepage parameters of the gas production well; determining laminar flow coefficients and turbulent flow coefficients of the gas production well according to seepage parameters of the gas production well; substituting the laminar flow coefficient and the turbulent flow coefficient of the gas production well into a binomial productivity equation of the gas production well, and determining a productivity equation of the real-time gas supply capacity of the gas production well; according to the capacity equation of the real-time gas supply capacity of the gas production well, the real-time gas supply capacity of the gas production well is determined, the yield instability analysis of the gas production well is carried out based on the actual production data and the theoretical production data of the gas production well of the gas storage, the seepage parameters of the gas production well with higher accuracy can be obtained, the seepage range and the change of stratum permeability of the gas production well during gas production of the gas storage are fully considered, the calculation precision of the real-time gas supply capacity of the gas production well can be further improved, and a scientific basis is provided for accurately predicting the integral gas supply capacity of the gas storage in winter.
In addition, compared with the existing well test method, the method only needs to collect actual production data, does not influence the gas injection/gas production time of the gas storage, does not need to lay instruments for well test, saves cost, and has obvious economic benefit.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. In the drawings:
FIG. 1 is a schematic diagram of a flow chart of a method for determining the air suction capacity of an air injection well of an air storage in an embodiment of the invention;
FIG. 2 is a schematic diagram of another flow of a method for determining the inspiratory capabilities of a gas injection well of a gas storage according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a further flow of a method for determining the inspiratory capabilities of a gas injection well of a gas storage according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an overall flow frame of a method for determining the air suction capacity of an air injection well of an air storage according to an embodiment of the invention;
FIG. 5 is a schematic diagram of a device for determining the air suction capacity of an air injection well of an air storage according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a flow chart of a method for determining the gas supply capacity of a gas production well in a gas storage tank according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of another flow of a method for determining the inspiratory capabilities of a gas injection well of a gas storage according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of a further flow of a method for determining the inspiratory capabilities of a gas injection well of a gas storage reservoir according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of an overall flow frame of a method for determining the gas production capacity of a gas production well in a gas storage tank according to an embodiment of the present invention;
FIG. 10 is a schematic diagram of a device for determining the gas production capacity of a gas production well in a gas storage according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention provides a method for determining the air suction capacity of an air storage gas injection well, which is used for improving the calculation accuracy of the air suction capacity of the air storage gas injection well, and fig. 1 is a schematic diagram of the flow of the method for determining the air suction capacity of the air storage gas injection well in the embodiment of the invention, as shown in fig. 1, and the method comprises the following steps:
step 101: according to actual production data and theoretical production data of the gas injection well of the gas storage, carrying out unstable analysis on the yield of the gas injection well, and determining seepage parameters of the gas injection well;
Step 102: determining laminar flow coefficients and turbulent flow coefficients of the gas injection well according to seepage parameters of the gas injection well;
step 103: substituting the laminar flow coefficient and the turbulent flow coefficient of the gas injection well into a binomial capacity equation of the gas injection well, and determining a capacity equation of the real-time gas suction capacity of the gas injection well;
Step 104: and determining the real-time air suction capacity of the air injection well according to the capacity equation of the real-time air suction capacity of the air injection well.
In the specific implementation, in step 101, the well structure, the formation thickness h, the daily gas injection pressure and the gas injection amount data of the gas injection well can be input by means of a yield instability analysis software tool (such as Topaze, etc.), the fitting of the actual production curve and the theoretical plate is made by comparing the coincidence degree of the actual production data and the theoretical curve, and after the yield instability analysis, the seepage parameters of the gas injection well can be obtained, including: the seepage Area of the stratum, the permeability K, the skin coefficient s of the well and the like.
In one embodiment, determining the laminar and turbulent flow coefficients of the gas injection well based on the seepage parameters of the gas injection well in step 102 includes:
when the gas injection well is a gas injection vertical well, the laminar flow coefficient and the turbulent flow coefficient of the gas injection vertical well are determined according to the following modes:
Wherein A is a laminar flow coefficient, B is a turbulent flow coefficient, K is a permeability, T is a stratum temperature, mu is a gas viscosity, h is a reservoir effective thickness, gamma g is a gas density, gamma e is a supply well diameter of an oil well, gamma w is a well bore radius, and s is a skin coefficient; beta is the turbulence coefficient.
In one embodiment, determining the laminar and turbulent flow coefficients of the gas injection well based on the seepage parameters of the gas injection well in step 102 includes:
when the gas injection well is a gas injection horizontal well, determining laminar flow coefficients and turbulent flow coefficients of the gas injection horizontal well according to the following modes:
Wherein A is a laminar flow coefficient, B is a turbulent flow coefficient, K is permeability, T is formation temperature, As a result of the average compression factor,For average gas viscosity, a is the simulated supply radius, L is the horizontal segment length, h is the effective thickness of the reservoir, and gamma g is the gas density; gamma w is the wellbore radius.
In the specific implementation, in step 102, since the gas injection well includes a gas injection horizontal well and a gas injection vertical well, the ways of calculating the laminar flow coefficient and the turbulent flow coefficient of the gas injection horizontal well and the gas injection vertical well are different, when the gas injection well is the gas injection vertical well, the seepage parameters obtained in the step 101 are input into the formula (1) and the formula (2) to obtain the laminar flow coefficient and the turbulent flow coefficient corresponding to the gas injection vertical well, and when the gas injection well is the gas injection horizontal well, the seepage parameters obtained in the step 101 are input into the formula (3) and the formula (4) to obtain the laminar flow coefficient and the turbulent flow coefficient corresponding to the gas injection horizontal well.
The capacity equation for the real-time suction capacity of a gas injection well in one embodiment is as follows:
Pwf 2-Pe 2=AQ+BQ2 (5)
Wherein P wf is bottom hole flow pressure, P e is formation pressure, Q is gas injection quantity, A is laminar flow coefficient, and B is turbulence coefficient.
In the specific implementation, in step 103, the laminar flow coefficient and the turbulent flow coefficient of the gas injection well obtained in step 102 may be substituted into a binomial capacity equation of the gas injection well, as shown in formula (5), a capacity equation of the real-time gas suction capability of the gas injection well is obtained, and the real-time gas suction capability of the gas injection well may be determined according to the capacity equation of the real-time gas suction capability of the gas injection well.
In the face of seepage parameters, the prior art mainly analyzes dynamic reserves, considers that other parameters are not very definite in the solving process and have certain variation amplitude of numerical values, so that the reliability is not high. The inventor finds through a great number of simulations and practices that, although the single seepage parameters have variation amplitude when solving, after aggregation, the differences of the seepage fields are calculated to be not great. Based on the finding, the embodiment of the invention solves all seepage parameters obtained by an unstable analysis method, further solves the productivity equation, can obtain seepage parameters of the gas injection well with higher accuracy, fully considers the seepage range and the change of stratum permeability when the gas is injected into the gas storage, can improve the calculation accuracy of the real-time air suction capacity of the gas injection well, and provides a reliable basis for accurately predicting the integral air suction capacity of the gas storage in summer.
FIG. 2 is a schematic diagram of another flow of a method for determining the inspiratory capabilities of a gas injection well of a gas storage reservoir according to an embodiment of the present invention, as shown in FIG. 2, and in one embodiment, the method further comprises:
Step 201: screening target actual production data with highest fitting degree with theoretical production data from actual production data of the gas injection well according to the result of the unstable yield analysis;
step 202: substituting the target actual production data into a gas well binomial productivity equation to obtain laminar flow coefficients and turbulent flow coefficients of the gas injection well corresponding to the target actual production data;
step 203: according to laminar flow coefficients and turbulent flow coefficients of the gas injection well corresponding to target actual production data, adjusting a capacity equation of the real-time air suction capacity of the gas injection well;
Determining the real-time inspiratory capacity of the gas injection well according to the capacity equation of the real-time inspiratory capacity of the gas injection well, comprising:
Step 204: and determining the real-time air suction capacity of the gas injection well according to the capacity equation of the adjusted real-time air suction capacity of the gas injection well.
In specific implementation, two actual gas injection data points (Pwf, Q1) and (Pwf, Q2) can be obtained according to the fitting result of the actual production data points and the theoretical plate in the step 101, and as the process is to select two from a plurality of production data points, the traditional selection mode is blind. Specifically, according to the fitting result of the actual production data point and the theoretical plate in the step 101, the relationship between the actual production data point and the theoretical plate can be compared, and two actual production points (Pwf, Q1) and (Pwf, Q2) closest to the theoretical curve can be directly selected from hundreds of production points, so that additional solution is not needed, and the accuracy of obtaining the actual production points is further ensured.
Then (Pwf, Q1) and (Pwf, Q2) are substituted into a gas well binomial capacity equation shown in a formula (5), the numerical values of the laminar flow coefficient A and the turbulent flow coefficient B are obtained by solving a simultaneous equation system, and the gas well binomial capacity equation is determined according to the numerical values of the laminar flow coefficient A and the turbulent flow coefficient B obtained by solving, so that the real-time gas suction capacity of the gas injection well is determined.
The most suitable two points are difficult to select from hundreds of production points, and an intermediate calculation process similar to conventional software (such as Topaze intermediate calculation process) needs to be rewritten.
FIG. 3 is a schematic diagram of another flow of a method for determining the inspiratory capacity of a gas injection well of a gas storage reservoir according to an embodiment of the present invention, as shown in FIG. 3, and in one embodiment, the method further comprises:
step 301: according to the result of the unstable analysis of the yield, a preset number of dimensionless gas injection data are selected from theoretical production data of the gas injection well;
step 302: performing numerical inversion on the dimensionless gas injection data, and determining the pressure and the gas injection quantity corresponding to the dimensionless gas injection data;
step 303: substituting the pressure and the gas injection quantity corresponding to the dimensionless gas injection data into a gas well binomial capacity equation to obtain a laminar flow coefficient and a turbulent flow coefficient of the gas injection well corresponding to the dimensionless gas injection data;
Step 304: according to laminar flow coefficients and turbulent flow coefficients of the gas injection well corresponding to dimensionless gas injection data, adjusting a capacity equation of the real-time gas suction capacity of the gas injection well;
Determining the real-time inspiratory capacity of the gas injection well according to the capacity equation of the real-time inspiratory capacity of the gas injection well, comprising:
Step 305: and determining the real-time air suction capacity of the gas injection well according to the capacity equation of the real-time injection and production capacity of the adjusted gas injection well.
In specific implementation, two dimensionless gas injection data points on a theoretical curve can be selected at will according to the fitting result of the actual production data points and the theoretical plate in the step 101, numerical inversion is carried out on the dimensionless gas injection data, and the pressures and the gas volumes (Pwf, Q1) and (Pwf, Q2) corresponding to the dimensionless gas injection data are obtained. Then (Pwf, Q1) and (Pwf, Q2) are substituted into a gas well binomial capacity equation shown in a formula (5), the numerical values of the laminar flow coefficient A and the turbulent flow coefficient B are obtained by solving a simultaneous equation system, and the gas well binomial capacity equation is determined according to the numerical values of the laminar flow coefficient A and the turbulent flow coefficient B obtained by solving, so that the real-time gas suction capacity of the gas injection well is determined.
The most suitable two points are difficult to select from hundreds of production points, and according to the yield instability analysis result, the embodiment of the invention randomly selects two dimensionless gas injection data points on a theoretical curve, performs numerical inversion on the dimensionless gas injection data, solves the problem of difficult selection of actual production data points, and can improve the calculation accuracy of the real-time gas suction capability of a gas injection well.
Fig. 4 is a schematic diagram of an overall flow frame of a method for determining the air suction capacity of an air-storage gas-injection well in an embodiment of the present invention, as shown in fig. 4, the capacity equations of the real-time air suction capacities of the three air-injection wells obtained in step 103, step 203 and step 304 may be compared and analyzed, and the capacity equation of the real-time air suction capacity of the optimal air-injection well is selected, so that the calculation accuracy of the real-time air suction capacity of the air-injection well is further improved.
When the real-time gas suction capability of the gas injection well is obtained, the method does not directly obtain the well test value like the prior art, but obtains the actual stratum seepage range during gas injection, fully considers the change rule of the rock permeability in the future gas injection process, substitutes the improved parameters into a classical binomial equation, and further obtains the current gas suction capability equation. Taking a certain gas storage as an example, a well test method runs for nearly 9 years to obtain the gas injection vertical well gas suction capacity of 100 square/day, the gas injection horizontal well gas suction capacity of 160 square/day and injection is always allocated according to the value, and the gas injection vertical well gas suction capacity of 85 square/day, the gas injection horizontal well gas suction capacity of 128 square/day calculated by the embodiment of the invention is used for actually allocating injection production, any abnormality is not found, the gas injection task of the well is rapidly realized, and the prediction method provided by the invention is proved to be relatively reliable.
In addition, the method for acquiring the real-time air suction capacity of the air injection well of the air storage is mostly from well test interpretation, but the method needs to disturb the normal air injection of the air storage during testing and needs to pay large-scale instrument test and interpretation cost, and the method only needs to acquire actual production data, does not influence the air injection/air collection time of the air storage, does not need to arrange instruments to test the well, saves cost, and has obvious economic benefit while improving the calculation precision of the real-time air suction capacity of the air injection well.
Based on the same inventive concept, the embodiment of the invention also provides a device for determining the air suction capacity of the air injection well of the air storage, as in the following embodiment. Because the principle of solving the problem of the gas storage gas injection well gas suction capacity determining device is similar to that of the gas storage gas injection well gas suction capacity determining method, the implementation of the device can be referred to the implementation of the method, and repeated parts are not repeated. As used below, the term "unit" or "module" may be a combination of software and/or hardware that implements the intended function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The embodiment of the invention provides a gas injection well gas suction capacity determining device for a gas storage, which is used for improving the accuracy of the gas injection well gas suction capacity of the gas storage, and fig. 5 is a schematic diagram of the structure of the gas injection well gas suction capacity determining device for the gas storage, as shown in fig. 5, and the device comprises:
The gas injection well seepage parameter determining module 501 is used for carrying out unstable analysis on the yield of the gas injection well according to the actual production data and the theoretical production data of the gas injection well of the gas storage, and determining seepage parameters of the gas injection well;
the laminar flow coefficient and turbulence coefficient determining module 502 of the gas injection well is used for determining the laminar flow coefficient and the turbulence coefficient of the gas injection well according to the seepage parameter of the gas injection well;
A gas injection well capacity equation determining module 503, configured to substitute the laminar flow coefficient and the turbulent flow coefficient of the gas injection well into a binary capacity equation of the gas injection well, and determine a capacity equation of the real-time air suction capacity of the gas injection well;
The gas injection well suction capacity determination module 504 is configured to determine the real-time suction capacity of the gas injection well according to a capacity equation of the real-time suction capacity of the gas injection well.
In one embodiment, the apparatus further comprises:
screening target actual production data with highest fitting degree with theoretical production data from actual production data of the gas injection well according to the result of the unstable yield analysis;
Substituting the target actual production data into a gas well binomial productivity equation to obtain laminar flow coefficients and turbulent flow coefficients of the gas injection well corresponding to the target actual production data;
According to laminar flow coefficients and turbulent flow coefficients of the gas injection well corresponding to target actual production data, adjusting a capacity equation of the real-time air suction capacity of the gas injection well;
Determining the real-time inspiratory capacity of the gas injection well according to the capacity equation of the real-time inspiratory capacity of the gas injection well, comprising:
And determining the real-time air suction capacity of the gas injection well according to the capacity equation of the adjusted real-time air suction capacity of the gas injection well.
In one embodiment, the apparatus further comprises:
According to the result of the unstable analysis of the yield, a preset number of dimensionless gas injection data are selected from theoretical production data of the gas injection well;
performing numerical inversion on the dimensionless gas injection data, and determining the pressure and the gas injection quantity corresponding to the dimensionless gas injection data;
substituting the pressure and the gas injection quantity corresponding to the dimensionless gas injection data into a gas well binomial capacity equation to obtain a laminar flow coefficient and a turbulent flow coefficient of the gas injection well corresponding to the dimensionless gas injection data;
according to laminar flow coefficients and turbulent flow coefficients of the gas injection well corresponding to dimensionless gas injection data, adjusting a capacity equation of the real-time gas suction capacity of the gas injection well;
Determining the real-time inspiratory capacity of the gas injection well according to the capacity equation of the real-time inspiratory capacity of the gas injection well, comprising:
and determining the real-time air suction capacity of the gas injection well according to the capacity equation of the real-time injection and production capacity of the adjusted gas injection well.
In one embodiment, the gas injection well laminar and turbulent flow coefficient determination module 502 is specifically configured to:
when the gas injection well is a gas injection vertical well, the laminar flow coefficient and the turbulent flow coefficient of the gas injection vertical well are determined according to the following modes:
wherein A is a laminar flow coefficient, B is a turbulent flow coefficient, K is a permeability, T is a formation temperature, mu is a gas viscosity, h is a reservoir effective thickness, gamma g is a gas density, gamma e is a supply well diameter of a well, gamma w is a well bore radius, and s is a skin coefficient; beta is the turbulence coefficient.
In one embodiment, the gas injection well laminar and turbulent flow coefficient determination module 502 is specifically configured to:
When the gas injection well is a gas injection horizontal well, the laminar flow coefficient and the turbulent flow coefficient of the gas injection horizontal well are determined as follows:
Wherein A is a laminar flow coefficient, B is a turbulent flow coefficient, K is permeability, T is formation temperature, As a result of the average compression factor,For average gas viscosity, a is the simulated supply radius, L is the horizontal segment length, h is the effective thickness of the reservoir, and gamma g is the gas density; gamma w is the wellbore radius.
In one embodiment, the capacity equation for the real-time suction capacity of a gas injection well is as follows:
Pwf 2-Pe 2=AQ+BQ2
Wherein P wf is bottom hole flow pressure, P e is formation pressure, Q is gas injection quantity, A is laminar flow coefficient, and B is turbulence coefficient.
The embodiment of the invention provides a method for determining the gas production well gas supply capacity of a gas storage, which is used for improving the accuracy of the gas production well gas supply capacity of the gas storage, and fig. 6 is a schematic diagram of a flow of the method for determining the gas production well gas supply capacity of the gas storage in the embodiment of the invention, as shown in fig. 6, and the method comprises the following steps:
Step 601: according to actual production data and theoretical production data of the gas production well of the gas storage, carrying out unstable analysis on the yield of the gas production well, and determining seepage parameters of the gas production well;
step 602: determining laminar flow coefficients and turbulent flow coefficients of the gas production well according to seepage parameters of the gas production well;
step 603: substituting the laminar flow coefficient and the turbulent flow coefficient of the gas production well into a binomial productivity equation of the gas production well, and determining a productivity equation of the real-time gas supply capacity of the gas production well;
Step 604: and determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well.
In specific implementation, in step 601, the well structure, the formation thickness h, the daily gas production pressure and the gas production data of the gas production well can be input by means of a yield instability analysis software tool (such as Topaze, RTA, etc.), and the actual production curve is fitted with a theoretical plate by comparing the coincidence degree of the actual production data and the theoretical curve, so that after the yield instability analysis, the seepage parameters of the gas production well can be obtained, including: the seepage Area of the stratum, the permeability K, the skin coefficient s of the well and the like.
In one embodiment, step 602 determines the laminar and turbulent flow coefficients of the gas production well based on the seepage parameters of the gas production well, comprising:
when the gas production well is a gas production vertical well, determining a laminar flow coefficient and a turbulent flow coefficient of the gas production vertical well according to the following modes:
wherein A is a laminar flow coefficient, B is a turbulent flow coefficient, K is a permeability, T is a formation temperature, mu is a gas viscosity, h is a reservoir effective thickness, gamma g is a gas density, gamma e is a supply well diameter of a well, gamma w is a well bore radius, and s is a skin coefficient; beta is the turbulence coefficient.
In one embodiment, step 602 determines the laminar and turbulent flow coefficients of the gas production well based on the seepage parameters of the gas production well, comprising:
when the gas production well is a gas production horizontal well, determining laminar flow coefficients and turbulent flow coefficients of the gas production horizontal well according to the following modes:
Wherein A is a laminar flow coefficient, B is a turbulent flow coefficient, K is permeability, T is formation temperature, As a result of the average compression factor,For average gas viscosity, a is the simulated supply radius, L is the horizontal segment length, h is the effective thickness of the reservoir, and gamma g is the gas density; gamma w is the wellbore radius.
In the specific implementation, in step 602, since the gas production well includes a gas production horizontal well and a gas production vertical well, and the ways of calculating the laminar flow coefficient and the turbulent flow coefficient are different between the gas production horizontal well and the gas production vertical well, when the gas production well is the gas production vertical well, the seepage parameters obtained in the step 601 are input into the formula (6) and the formula (7) to obtain the laminar flow coefficient and the turbulent flow coefficient corresponding to the gas production vertical well, when the gas production well is the gas production horizontal well, the seepage parameters obtained in the step 601 are input into the formula (8) and the formula (9) to obtain the laminar flow coefficient and the turbulent flow coefficient corresponding to the gas production horizontal well,
In one embodiment, the capacity equation for the real-time gas supply capacity of a gas production well is as follows:
Pe 2-Pwf 2=AQ+BQ2 (10)
wherein P wf is bottom hole flow pressure, P e is formation pressure, Q is gas production, A is laminar flow coefficient, and B is turbulence coefficient.
In specific implementation, in step 603, the laminar flow coefficient and the turbulent flow coefficient of the gas production well obtained in step 602 may be substituted into a binomial capacity equation of the gas production well, as shown in formula (10), a capacity equation of the real-time gas supply capacity of the gas production well is obtained, and the real-time gas supply capacity of the gas production well may be determined according to the capacity equation of the real-time gas supply capacity of the gas production well.
In the face of seepage parameters, the prior art mainly analyzes dynamic reserves, considers that other parameters are not very definite in the solving process and have certain variation amplitude of numerical values, so that the reliability is not high. The inventor finds through a great number of simulations and practices that, although the single seepage parameters have variation amplitude when solving, after aggregation, the differences of the seepage fields are calculated to be not great. Based on the finding, the embodiment of the invention solves all seepage parameters obtained by an unstable analysis method, so as to solve the capacity equation, obtain the seepage parameters of the gas production well with higher accuracy, fully consider the seepage range and the change of stratum permeability when the gas storage is used for producing gas, improve the calculation accuracy of the real-time gas supply capacity of the gas production well, and provide scientific basis for accurately predicting the integral gas supply capacity of the gas storage in winter.
FIG. 7 is a schematic diagram of another flow chart of a method for determining the inspiratory capacity of a gas injection well of a gas storage according to an embodiment of the present invention, as shown in FIG. 7, the method further comprises:
step 701: screening target actual production data with highest fitting degree with theoretical production data from actual production data of a gas production well according to a result of the unstable analysis of the yield;
step 702: substituting the target actual production data into a gas well binomial productivity equation to obtain laminar flow coefficients and turbulent flow coefficients of the gas production well corresponding to the target actual production data;
Step 703: according to laminar flow coefficients and turbulent flow coefficients of the gas production well corresponding to the target actual production data, adjusting a capacity equation of the real-time gas supply capacity of the gas production well;
Determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well, comprising:
Step 704: and determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well after adjustment.
In specific implementation, according to the fitting result of the actual production data point and the theoretical plate in the step 601, the relation between the actual production data point and the theoretical plate is compared, two actual production points (Pwf, Q1) and (Pwf, Q2) closest to the theoretical curve are directly selected from hundreds of production points, then, (Pwf, Q1) and (Pwf, Q2) are substituted into a gas well binomial capacity equation shown in the formula (10), a simultaneous equation system is solved to obtain the values of the laminar flow coefficient a and the turbulent flow coefficient B, and the gas well binomial capacity equation is determined according to the values of the laminar flow coefficient a and the turbulent flow coefficient B obtained by solving, so that the real-time gas supply capacity of the gas production well is determined.
The most suitable two points are difficult to select from hundreds of production points, and an intermediate calculation process similar to conventional software (such as Topaze intermediate calculation process) is required to be rewritten.
FIG. 8 is a schematic diagram of another flow chart of a method for determining the inspiratory capacity of a gas injection well of a gas storage reservoir according to an embodiment of the present invention, as shown in FIG. 8, the method further comprises:
Step 801: according to the result of the unstable analysis of the yield, a preset number of dimensionless gas production data are selected from the theoretical production data of the gas production well;
Step 802: performing numerical inversion on dimensionless gas production data, and determining pressure and gas production corresponding to the dimensionless gas production data;
Step 803: substituting the pressure and the gas production corresponding to the dimensionless gas production data into a binary capacity equation of the gas well to obtain a laminar flow coefficient and a turbulent flow coefficient of the gas production well corresponding to the dimensionless gas production data;
Step 804: according to laminar flow coefficients and turbulent flow coefficients of the gas production well corresponding to the dimensionless gas production data, adjusting a capacity equation of the real-time gas supply capacity of the gas production well;
Determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well, comprising:
Step 805: and determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time injection and production capacity of the gas production well after adjustment.
In specific implementation, two dimensionless gas production data points on a theoretical curve can be selected at will according to the fitting result of actual production data points and theoretical plates in the step 601, numerical inversion is carried out on the dimensionless gas production data, and pressures and gas volumes (Pwf, Q1) and (Pwf, Q2) corresponding to the dimensionless gas production data are obtained. Then (Pwf, Q1) and (Pwf, Q2) are substituted into a gas well binomial capacity equation shown in a formula (10), the numerical values of the laminar flow coefficient A and the turbulent flow coefficient B are obtained by solving a simultaneous equation system, and the gas well binomial capacity equation is determined according to the numerical values of the laminar flow coefficient A and the turbulent flow coefficient B obtained by solving, so that the real-time gas supply capacity of the gas production well is determined.
The most suitable two points are difficult to select from hundreds of production points, and according to the yield instability analysis result, the embodiment of the invention randomly selects two dimensionless gas production data points on a theoretical curve, performs numerical inversion on the dimensionless gas production data, solves the problem of difficult selection of actual production data points, and can improve the calculation accuracy of the real-time gas supply capacity of a gas production well.
Fig. 9 is a schematic diagram of an overall flow frame of a method for determining the gas supply capacity of a gas storage gas production well in the embodiment of the present invention, as shown in fig. 9, the capacity equations of the real-time gas supply capacities of the three gas production wells obtained in step 603, step 703 and step 804 may be compared and analyzed, and the capacity equation of the real-time gas supply capacity of the optimal gas production well is selected, so that the calculation accuracy of the real-time gas supply capacity of the gas production well is further improved.
When the real-time gas supply capacity of the gas production well is obtained, the method does not directly obtain the well test value like the prior art, but obtains the actual stratum seepage range during gas production, fully considers the change rule of the rock permeability in the future gas production process, substitutes the improved parameters into a classical binomial equation, and further obtains the current gas supply capacity equation. Taking a certain gas storage as an example, a well test method runs for nearly 9 years to obtain the gas production vertical well gas supply capacity of 100 square/day and the gas production horizontal well gas supply capacity of 170 square/day, and injection is always allocated according to the value, and the gas production vertical well gas supply capacity of 85 square/day and the gas production horizontal well gas supply capacity of 135 square/day calculated by the embodiment of the invention are allocated according to the actual injection production, any abnormality is not found, the gas production task of the well is realized rapidly, and the prediction method provided by the invention is proved to be relatively reliable.
In addition, the method for acquiring the real-time gas supply capacity of the gas storage well in the prior art is mostly from well test interpretation, but the method needs to disturb the normal gas production of the gas storage well during testing and needs to pay large-scale instrument testing and interpretation cost, and the method only needs to acquire actual production data, does not influence the gas production time of the gas storage well, does not need to arrange instruments for well test, saves cost, and has obvious economic benefit while improving the calculation precision of the real-time gas supply capacity of the gas production well.
Based on the same inventive concept, the embodiment of the invention also provides a gas production well gas supply capacity determining device of the gas storage, as in the following embodiment. Because the principle of solving the problem of the gas storage gas production well gas supply capacity determining device is similar to that of the gas storage gas production well gas supply capacity determining method, the implementation of the device can be referred to the implementation of the method, and repeated parts are not repeated. As used below, the term "unit" or "module" may be a combination of software and/or hardware that implements the intended function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The embodiment of the invention provides a gas storage gas production well gas supply capacity determining device, which is used for improving the accuracy of the gas production well gas supply capacity of a gas storage gas production well, and fig. 10 is a schematic diagram of the structure of the gas production well gas supply capacity determining device of the gas storage gas production well in the embodiment of the invention, as shown in fig. 10, the device comprises:
The seepage parameter determining module 1001 of the gas production well is used for carrying out unstable analysis on the yield of the gas production well according to the actual production data and the theoretical production data of the gas production well of the gas storage, and determining the seepage parameter of the gas production well;
The laminar flow coefficient and turbulence coefficient determining module 1002 is configured to determine a laminar flow coefficient and a turbulence coefficient of the gas production well according to a seepage parameter of the gas production well;
The production capacity equation determining module 1003 is configured to substitute the laminar flow coefficient and the turbulent flow coefficient of the production well into a binary production capacity equation of the production well, and determine a production capacity equation of the real-time gas supply capacity of the production well;
The gas production well gas supply capacity determination module 1004 is configured to determine the real-time gas supply capacity of the gas production well according to a capacity equation of the real-time gas supply capacity of the gas production well.
In one embodiment, the apparatus further comprises:
Screening target actual production data with highest fitting degree with theoretical production data from actual production data of a gas production well according to a result of the unstable analysis of the yield;
Substituting the target actual production data into a gas well binomial productivity equation to obtain laminar flow coefficients and turbulent flow coefficients of the gas production well corresponding to the target actual production data;
According to laminar flow coefficients and turbulent flow coefficients of the gas production well corresponding to the target actual production data, adjusting a capacity equation of the real-time gas supply capacity of the gas production well;
Determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well, comprising:
and determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well after adjustment.
In one embodiment, the apparatus further comprises:
according to the result of the unstable analysis of the yield, a preset number of dimensionless gas production data are selected from the theoretical production data of the gas production well;
Performing numerical inversion on dimensionless gas production data, and determining pressure and gas production corresponding to the dimensionless gas production data;
substituting the pressure and the gas production corresponding to the dimensionless gas production data into a binary capacity equation of the gas well to obtain a laminar flow coefficient and a turbulent flow coefficient of the gas production well corresponding to the dimensionless gas production data;
According to laminar flow coefficients and turbulent flow coefficients of the gas production well corresponding to the dimensionless gas production data, adjusting a capacity equation of the real-time gas supply capacity of the gas production well;
Determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well, comprising:
And determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time injection and production capacity of the gas production well after adjustment.
In one embodiment, the gas production well laminar and turbulent flow coefficient determination module 1002 is specifically configured to:
when the gas production well is a gas production vertical well, determining a laminar flow coefficient and a turbulent flow coefficient of the gas production vertical well according to the following modes:
wherein A is a laminar flow coefficient, B is a turbulent flow coefficient, K is a permeability, T is a formation temperature, mu is a gas viscosity, h is a reservoir effective thickness, gamma g is a gas density, gamma e is a supply well diameter of a well, gamma w is a well bore radius, and s is a skin coefficient; beta is the turbulence coefficient.
In one embodiment, the gas production well laminar and turbulent flow coefficient determination module 1002 is specifically configured to:
When the gas production well is a gas production horizontal well, determining laminar flow coefficients and turbulent flow coefficients of the gas production horizontal well according to the following modes:
Wherein A is a laminar flow coefficient, B is a turbulent flow coefficient, K is permeability, T is formation temperature, As a result of the average compression factor,For average gas viscosity, a is the simulated supply radius, L is the horizontal segment length, h is the effective thickness of the reservoir, and gamma g is the gas density; gamma w is the wellbore radius.
In one embodiment, the capacity equation for the real-time gas supply capacity of a gas production well is as follows:
Pe 2-Pwf 2=AQ+BQ2
wherein P wf is bottom hole flow pressure, P e is formation pressure, Q is gas production, A is laminar flow coefficient, and B is turbulence coefficient.
The embodiment of the invention also provides computer equipment, which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the method for determining the gas suction capacity of the gas storage gas injection well and the method for determining the gas supply capacity of the gas storage gas production well are realized when the processor executes the computer program.
The embodiment of the invention also provides a computer readable storage medium, and the computer readable storage medium stores a computer program for executing the method for determining the air suction capacity of the air storage gas injection well and the method for determining the air supply capacity of the air storage gas production well.
In summary, the embodiment of the invention is as follows: according to actual production data and theoretical production data of the gas injection well of the gas storage, carrying out unstable analysis on the yield of the gas injection well, and determining seepage parameters of the gas injection well; determining laminar flow coefficients and turbulent flow coefficients of the gas injection well according to seepage parameters of the gas injection well; substituting the laminar flow coefficient and the turbulent flow coefficient of the gas injection well into a binomial capacity equation of the gas injection well, and determining a capacity equation of the real-time gas suction capacity of the gas injection well; according to the capacity equation of the real-time air suction capacity of the air injection well, the real-time air suction capacity of the air injection well is determined, the yield instability analysis of the air injection well is carried out based on the actual production data and the theoretical production data of the air injection well of the air storage, the seepage parameters of the air injection well with higher accuracy can be obtained, the seepage range and the change of stratum permeability of the air injection well during air injection of the air storage are fully considered, the calculation precision of the real-time air suction capacity of the air injection well can be further improved, and a reliable basis is provided for accurately predicting the integral air suction capacity of the air storage in summer.
According to actual production data and theoretical production data of the gas production well of the gas storage, carrying out unstable analysis on the yield of the gas production well, and determining seepage parameters of the gas production well; determining laminar flow coefficients and turbulent flow coefficients of the gas production well according to seepage parameters of the gas production well; substituting the laminar flow coefficient and the turbulent flow coefficient of the gas production well into a binomial productivity equation of the gas production well, and determining a productivity equation of the real-time gas supply capacity of the gas production well; according to the capacity equation of the real-time gas supply capacity of the gas production well, the real-time gas supply capacity of the gas production well is determined, the yield instability analysis of the gas production well is carried out based on the actual production data and the theoretical production data of the gas production well of the gas storage, the seepage parameters of the gas production well with higher accuracy can be obtained, the seepage range and the change of stratum permeability of the gas production well during gas production of the gas storage are fully considered, the calculation precision of the real-time gas supply capacity of the gas production well can be further improved, and a scientific basis is provided for accurately predicting the integral gas supply capacity of the gas storage in winter.
In addition, compared with the existing well test method, the method only needs to collect actual production data, does not influence the gas injection/gas production time of the gas storage, does not need to lay instruments for well test, saves cost, and has obvious economic benefit.
Those skilled in the art will appreciate that embodiments of the invention may be implemented as a system, apparatus, method, or computer program product. Accordingly, the present disclosure may be embodied in the following forms, namely: complete hardware, complete software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the embodiment of the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (12)

1. The method for determining the inspiration capability of the gas injection well of the gas storage is characterized by comprising the following steps of:
according to actual production data and theoretical production data of the gas injection well of the gas storage, carrying out unstable analysis on the yield of the gas injection well, and determining seepage parameters of the gas injection well;
determining laminar flow coefficients and turbulent flow coefficients of the gas injection well according to seepage parameters of the gas injection well;
Substituting the laminar flow coefficient and the turbulent flow coefficient of the gas injection well into a binomial capacity equation of the gas injection well, and determining a capacity equation of the real-time gas suction capacity of the gas injection well;
Determining the real-time air suction capacity of the air injection well according to the capacity equation of the real-time air suction capacity of the air injection well;
Further comprises:
According to the result of the unstable analysis of the yield, a preset number of dimensionless gas injection data are selected from theoretical production data of the gas injection well;
performing numerical inversion on the dimensionless gas injection data, and determining the pressure and the gas injection quantity corresponding to the dimensionless gas injection data;
substituting the pressure and the gas injection quantity corresponding to the dimensionless gas injection data into a gas well binomial capacity equation to obtain a laminar flow coefficient and a turbulent flow coefficient of the gas injection well corresponding to the dimensionless gas injection data;
according to laminar flow coefficients and turbulent flow coefficients of the gas injection well corresponding to dimensionless gas injection data, adjusting a capacity equation of the real-time gas suction capacity of the gas injection well;
Determining the real-time inspiratory capacity of the gas injection well according to the capacity equation of the real-time inspiratory capacity of the gas injection well, comprising:
determining the real-time air suction capacity of the gas injection well according to the capacity equation of the adjusted real-time air suction capacity of the gas injection well;
Or further comprising:
screening target actual production data with highest fitting degree with theoretical production data from actual production data of the gas injection well according to the result of the unstable yield analysis;
Substituting the target actual production data into a gas well binomial productivity equation to obtain laminar flow coefficients and turbulent flow coefficients of the gas injection well corresponding to the target actual production data;
According to laminar flow coefficients and turbulent flow coefficients of the gas injection well corresponding to target actual production data, adjusting a capacity equation of the real-time air suction capacity of the gas injection well;
Determining the real-time inspiratory capacity of the gas injection well according to the capacity equation of the real-time inspiratory capacity of the gas injection well, comprising:
And determining the real-time air suction capacity of the gas injection well according to the capacity equation of the adjusted real-time air suction capacity of the gas injection well.
2. The method of claim 1, wherein determining the laminar and turbulent flow coefficients of the gas injection well based on the seepage parameters of the gas injection well comprises:
when the gas injection well is a gas injection vertical well, the laminar flow coefficient and the turbulent flow coefficient of the gas injection vertical well are determined according to the following modes:
wherein A is a laminar flow coefficient, B is a turbulent flow coefficient, K is a permeability, T is a formation temperature, mu is a gas viscosity, h is a reservoir effective thickness, gamma g is a gas density, gamma e is a supply well diameter of a gas well, gamma w is a well bore radius, and s is a skin coefficient.
3. The method of claim 1, wherein determining the laminar and turbulent flow coefficients of the gas injection well based on the seepage parameters of the gas injection well comprises:
When the gas injection well is a gas injection horizontal well, the laminar flow coefficient and the turbulent flow coefficient of the gas injection horizontal well are determined as follows:
Wherein A is a laminar flow coefficient, B is a turbulent flow coefficient, K is permeability, T is formation temperature, Is an average compression factor,/>For average gas viscosity, a is the simulated supply radius, L is the horizontal segment length, h is the effective thickness of the reservoir, and gamma g is the gas density; gamma w is the wellbore radius and beta is the turbulence coefficient.
4. The method of claim 1 wherein the capacity equation for the real-time inspiratory capabilities of the gas injection well is as follows:
Pwf 2-Pe 2=AQ+BQ2
Wherein P wf is bottom hole flow pressure, P e is formation pressure, Q is gas injection quantity, A is laminar flow coefficient, and B is turbulence coefficient.
5. A gas storage gas injection well inspiratory capacity determining apparatus, comprising:
the seepage parameter determining module of the gas injection well is used for carrying out unstable analysis on the yield of the gas injection well according to the actual production data and the theoretical production data of the gas injection well of the gas storage, and determining the seepage parameter of the gas injection well;
the laminar flow coefficient and turbulence coefficient determining module is used for determining the laminar flow coefficient and the turbulence coefficient of the gas injection well according to the seepage parameters of the gas injection well;
The gas injection well capacity equation determining module is used for substituting the laminar flow coefficient and the turbulent flow coefficient of the gas injection well into a gas well binomial capacity equation to determine a capacity equation of the real-time air suction capacity of the gas injection well;
The gas injection well gas suction capacity determining module is used for determining the real-time gas suction capacity of the gas injection well according to the capacity equation of the real-time gas suction capacity of the gas injection well;
the gas injection well suction capacity determination module is further configured to:
according to the result of the unstable analysis of the yield, a preset number of dimensionless gas injection data are selected from theoretical production data of the gas injection well; performing numerical inversion on the dimensionless gas injection data, and determining the pressure and the gas injection quantity corresponding to the dimensionless gas injection data; substituting the pressure and the gas injection quantity corresponding to the dimensionless gas injection data into a gas well binomial capacity equation to obtain a laminar flow coefficient and a turbulent flow coefficient of the gas injection well corresponding to the dimensionless gas injection data; according to laminar flow coefficients and turbulent flow coefficients of the gas injection well corresponding to dimensionless gas injection data, adjusting a capacity equation of the real-time gas suction capacity of the gas injection well; and determining the real-time air suction capacity of the gas injection well according to the capacity equation of the adjusted real-time air suction capacity of the gas injection well.
6. The method for determining the gas production capacity of the gas storage gas production well is characterized by comprising the following steps of:
According to actual production data and theoretical production data of the gas production well of the gas storage, carrying out unstable analysis on the yield of the gas production well, and determining seepage parameters of the gas production well;
Determining laminar flow coefficients and turbulent flow coefficients of the gas production well according to seepage parameters of the gas production well;
Substituting the laminar flow coefficient and the turbulent flow coefficient of the gas production well into a binomial productivity equation of the gas production well, and determining a productivity equation of the real-time gas supply capacity of the gas production well;
determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well; further comprises:
according to the result of the unstable analysis of the yield, a preset number of dimensionless gas production data are selected from the theoretical production data of the gas production well;
Performing numerical inversion on dimensionless gas production data, and determining pressure and gas production corresponding to the dimensionless gas production data;
substituting the pressure and the gas production corresponding to the dimensionless gas production data into a binary capacity equation of the gas well to obtain a laminar flow coefficient and a turbulent flow coefficient of the gas production well corresponding to the dimensionless gas production data;
According to laminar flow coefficients and turbulent flow coefficients of the gas production well corresponding to the dimensionless gas production data, adjusting a capacity equation of the real-time gas supply capacity of the gas production well;
Determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well, comprising:
determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well after adjustment;
Or further comprising:
Screening target actual production data with highest fitting degree with theoretical production data from actual production data of a gas production well according to a result of the unstable analysis of the yield;
Substituting the target actual production data into a gas well binomial productivity equation to obtain laminar flow coefficients and turbulent flow coefficients of the gas production well corresponding to the target actual production data;
According to laminar flow coefficients and turbulent flow coefficients of the gas production well corresponding to the target actual production data, adjusting a capacity equation of the real-time gas supply capacity of the gas production well;
Determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well, comprising:
and determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well after adjustment.
7. The method of claim 6, wherein determining the laminar and turbulent flow coefficients of the gas production well based on the seepage parameters of the gas production well comprises:
when the gas production well is a gas production vertical well, determining a laminar flow coefficient and a turbulent flow coefficient of the gas production vertical well according to the following modes:
Wherein A is a laminar flow coefficient, B is a turbulent flow coefficient, K is a permeability, T is a formation temperature, mu is a gas viscosity, h is a reservoir effective thickness, gamma g is a gas density, gamma e is a supply well diameter of a well, gamma w is a well bore radius, and s is a skin coefficient.
8. The method of claim 6, wherein determining the laminar and turbulent flow coefficients of the gas production well based on the seepage parameters of the gas production well comprises:
When the gas production well is a gas production horizontal well, determining laminar flow coefficients and turbulent flow coefficients of the gas production horizontal well according to the following modes:
Wherein A is a laminar flow coefficient, B is a turbulent flow coefficient, K is permeability, T is formation temperature, Is an average compression factor,/>For average gas viscosity, a is the simulated supply radius, L is the horizontal segment length, h is the effective thickness of the reservoir, and gamma g is the gas density; gamma w is the wellbore radius and beta is the turbulence coefficient.
9. The method of claim 6, wherein the capacity equation for the real-time gas supply capacity of the gas production well is as follows:
Pe 2-Pwf 2=AQ+BQ2
wherein P wf is bottom hole flow pressure, P e is formation pressure, Q is gas production, A is laminar flow coefficient, and B is turbulence coefficient.
10. A gas production well gas supply capacity determining device for a gas storage, comprising:
The seepage parameter determining module of the gas production well is used for carrying out unstable analysis on the yield of the gas production well according to the actual production data and the theoretical production data of the gas production well of the gas storage, and determining the seepage parameter of the gas production well;
The system comprises a gas production well laminar flow coefficient and turbulence coefficient determining module, a gas production well flow coefficient determining module and a gas production well flow coefficient determining module, wherein the gas production well laminar flow coefficient and turbulence coefficient determining module is used for determining the gas production well laminar flow coefficient and turbulence coefficient according to seepage parameters of the gas production well;
The production capacity equation determining module is used for substituting the laminar flow coefficient and the turbulent flow coefficient of the gas production well into the binomial production capacity equation of the gas production well to determine the production capacity equation of the real-time gas supply capacity of the gas production well;
the gas production well gas supply capacity determining module is used for determining the real-time gas production capacity of the gas production well according to the capacity equation of the real-time gas production capacity of the gas production well;
the gas production well air supply capacity determination module is also used for:
According to the result of the unstable analysis of the yield, a preset number of dimensionless gas production data are selected from the theoretical production data of the gas production well; performing numerical inversion on dimensionless gas production data, and determining pressure and gas production corresponding to the dimensionless gas production data; substituting the pressure and the gas production corresponding to the dimensionless gas production data into a binary capacity equation of the gas well to obtain a laminar flow coefficient and a turbulent flow coefficient of the gas production well corresponding to the dimensionless gas production data; according to laminar flow coefficients and turbulent flow coefficients of the gas production well corresponding to the dimensionless gas production data, adjusting a capacity equation of the real-time gas supply capacity of the gas production well; and determining the real-time gas supply capacity of the gas production well according to the capacity equation of the real-time gas supply capacity of the gas production well after adjustment.
11. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1 to 4,6 to 9 when executing the computer program.
12. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program which, when executed by a processor, implements the method of any one of claims 1 to 4, 6 to 9.
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产量不稳定法评价气井渗透率和表皮系数方法研究;王少军等;石油天然气学报;第第34卷卷(第第5期期);第146页第1-2段、第147页第3-9段 *
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