Gas reservoir carbon dioxide flooding post-breakthrough dynamic characterization method, system, equipment and medium

Abstract

The invention relates to the field of gas reservoirs, and discloses a dynamic characterization method, system, equipment and medium after breakthrough of carbon dioxide flooding of a gas reservoir. The dynamic characterization method after gas reservoir carbon dioxide flooding breakthrough comprises the steps that a gas reservoir rock core is collected, and attributes of the rock core are measured; sequentially connecting the cores in series according to the arrangement coefficients to form a long core; performing a long core carbon dioxide displacement natural gas experiment to obtain an experiment value; creating a long core numerical simulation model for long core carbon dioxide displacement natural gas simulation to obtain a simulation value; calculating a post-breakthrough dynamic representation parameter value based on the experiment value and the simulation value; updating the permeability of each section of rock core after carbon dioxide breakthrough by adopting a particle swarm algorithm to obtain a long rock core model of an optimal post-breakthrough dynamic characterization parameter value; and based on the long core model of the optimal post-breakthrough dynamic characterization parameter value, carbon dioxide displacement natural gas is simulated, and the post-breakthrough dynamic characteristics of carbon dioxide are obtained. According to the invention, accurate characterization of production dynamics after carbon dioxide flooding breakthrough can be realized.

Description

Technical Field

[0001] The invention relates to the field of gas reservoirs, and in particular to a method, system, equipment and medium for dynamic characterization of gas reservoirs after carbon dioxide flooding breakthrough. Background Art

[0002] Fossil energy is the driving force of world development. However, the use of high-carbon fossil energy (coal, oil, etc.) will emit a large amount of carbon dioxide, causing global warming. The main component of natural gas is methane. Compared with burning the same mass of high-carbon fossil energy, the carbon dioxide emissions from burning natural gas will be reduced by 50%. The exploration and development of natural gas is conducive to balancing the use of fossil fuels and carbon dioxide emissions. Natural gas is often developed in a depletion manner. Using carbon dioxide flooding as a replacement technology can achieve two goals at the same time: one is to further improve the development effect of natural gas; the other is to seal the injected carbon dioxide in the gas reservoir to alleviate the greenhouse effect. Due to the difference in mobility between carbon dioxide and methane, carbon dioxide breakthrough will inevitably occur during the carbon dioxide flooding of natural gas, which restricts the development effect of natural gas. Therefore, it is urgent to establish a method to accurately characterize the dynamics of gas reservoirs after carbon dioxide flooding breakthrough, so as to help predict and develop the production of natural gas carbon dioxide flooding.

[0003] There are two existing methods for characterizing the dynamics of gas reservoirs after CO2 breakthrough: one is to conduct physical simulation experiments on CO2 displacement of natural gas; the other is to use numerical simulation methods to simulate the process of CO2 displacement of natural gas. Both methods have certain limitations. Since CO2 and natural gas are both gases, it is difficult to visually distinguish between the two gases during the experiment, and it is impossible to quantitatively obtain gas production dynamics in real time. The numerical simulation results after CO2 breakthrough are far from the experimental results. Although modifying the model parameters will improve the fitting effect with the experimental results, the relevant parameters are mostly determined manually, with high labor costs and low standardization. In addition, the accuracy of the modified model is still different from the experimental values, making it difficult to accurately characterize the production dynamics after CO2 breakthrough. Summary of the invention

[0004] The present invention aims to provide a method, system, equipment and medium for characterizing the dynamics of a gas reservoir after a breakthrough of carbon dioxide flooding, so as to achieve accurate characterization of the production dynamics after a breakthrough of carbon dioxide flooding.

[0005] In order to achieve the above object, the present invention adopts the following technical scheme:

[0006] The post-breakthrough dynamic characterization method of gas reservoir CO2 flooding includes:

[0007] S1: Collect gas reservoir cores and measure core properties;

[0008] S2: Calculate the arrangement coefficient of the cores, and connect the cores in series according to the order of the arrangement coefficients to form a long core;

[0009] S3: Conduct a long core carbon dioxide displacement experiment to obtain the breakthrough time and record the experimental values ​​of carbon dioxide and methane concentrations in the produced gas at each time;

[0010] S4: Create a long core numerical simulation model with the same properties, perform a long core carbon dioxide displacement natural gas simulation, and obtain the simulated values ​​of carbon dioxide and methane concentrations in the produced gas at each time;

[0011] S5: Calculate the post-breakthrough dynamic characterization parameter values ​​based on the experimental and simulated values ​​of the concentrations of carbon dioxide and methane in the produced gas;

[0012] S6: Particle swarm optimization is used to update the permeability of each core segment after CO2 breakthrough;

[0013] S7: repeat S4-S6 until the convergence condition is reached, and the long core model with the optimal post-breakthrough dynamic characterization parameter value is obtained;

[0014] S8: Based on the long core model with the optimal post-breakthrough dynamic characterization parameter values, the displacement of natural gas by carbon dioxide is simulated to obtain the dynamic characteristics after carbon dioxide breakthrough.

[0015] The principle and advantages of this scheme are: in actual application, gas reservoir cores are collected and the properties of the cores are measured. Since the cores collected from the well are short and cannot be used directly for displacement experiments, the arrangement coefficients of the cores are calculated, and the cores are connected in series into long cores in the order of the arrangement coefficients to facilitate displacement experiments. After obtaining the experimental values, a long core numerical simulation model with the same properties is created to simulate the displacement of natural gas by carbon dioxide in the long cores, and the simulated values ​​of the concentrations of carbon dioxide and methane in the produced gas at each moment are obtained; based on the experimental values ​​and the simulated values, the dynamic characterization parameter values ​​after breakthrough are calculated; the particle swarm algorithm is used to update the permeability of each section of the core after the carbon dioxide breakthrough, and the long core model with the optimal dynamic characterization parameter value after breakthrough is obtained; based on the long core model with the optimal dynamic characterization parameter value after breakthrough, the carbon dioxide displacement of natural gas is simulated to obtain the dynamic characteristics after the carbon dioxide breakthrough. This application integrates the carbon dioxide displacement natural gas experiment and the intelligent optimization algorithm, establishes a numerical simulation model, realizes the intelligent and accurate characterization of the production dynamics of the gas reservoir after the carbon dioxide breakthrough, and helps the prediction and development of the carbon dioxide displacement production in the gas reservoir.

[0016] Preferably, as an improvement, the calculation model of the post-breakthrough dynamic characterization parameter value is:

[0017]

[0018] Among them, F is the dynamic characterization parameter value after breakthrough; t is the recording time; n is the number of records; C e1 is the experimental value of methane concentration in produced gas; Cs1 is the simulated value of methane concentration in produced gas; C e2 is the experimental value of carbon dioxide concentration in produced gas; C s2 is the simulated value of the carbon dioxide concentration in the produced gas.

[0019] Technical effect: It is easy to quantitatively describe the concentration changes of carbon dioxide and methane in space.

[0020] Preferably, as an improvement, the calculation model of the permutation coefficient is:

[0021]

[0022] Among them, R is the arrangement coefficient of the core; L is the diameter of the core; K is the permeability of the core.

[0023] Technical effect: The arrangement coefficient calculation model makes it easy to arrange the cores in order.

[0024] Preferably, as an improvement, the properties of the core include diameter, length, porosity, pore volume and permeability.

[0025] Technical effect: It is easy to create a long core numerical simulation model with the same properties.

[0026] Preferably, as an improvement, the long core carbon dioxide displacement natural gas experiment comprises: placing the long core in a core holder, injecting nitrogen gas at high pressure to blow it dry and evacuate it, and saturating the long core after evacuation with formation water; displacing the long core saturated with formation water with dry gas to obtain a long core containing bound water; then displacing the long core with natural gas to obtain a long core matching the original formation conditions; conducting a depletion production experiment, injecting carbon dioxide displacement at a constant flow rate after reaching the depletion pressure; and recording the concentrations of carbon dioxide and methane in the produced gas in real time.

[0027] Technical effect: It is convenient to provide factual reference for model establishment.

[0028] Preferably, as an improvement, the permeability of each section of the core after the carbon dioxide breakthrough is updated by the particle swarm algorithm, and the constraints include the upper and lower limit constraints of the permeability of each section of the core after the carbon dioxide breakthrough, and the high and low relationship between the permeabilities of each section of the core after the carbon dioxide breakthrough is consistent with the high and low relationship between the permeabilities of each section of the core initially.

[0029] Technical effect: It is easy to find the optimal solution within the constraints.

[0030] It also includes a post-breakthrough dynamic characterization system for gas reservoirs using CO2 flooding, including:

[0031] A measurement module is used to collect gas reservoir cores and measure the properties of the cores;

[0032] Long core series connection module, used to calculate the arrangement coefficient of the cores, and connect the cores in series into long cores according to the order of the arrangement coefficients;

[0033] The experimental value acquisition module conducts a long core carbon dioxide displacement natural gas experiment to obtain the breakthrough time and record the experimental values ​​of carbon dioxide and methane concentrations in the produced gas at each moment;

[0034] The simulation value acquisition module is used to create a long core numerical simulation model with the same properties, simulate the displacement of natural gas by carbon dioxide in the long core, and obtain the simulated values ​​of carbon dioxide and methane concentrations in the produced gas at each time;

[0035] A post-breakthrough dynamic characterization parameter calculation module is used to calculate the post-breakthrough dynamic characterization parameter values ​​based on the experimental values ​​and simulation values ​​of the concentrations of carbon dioxide and methane in the produced gas;

[0036] An updating module is used to update the permeability of each section of the core after CO2 breakthrough using a particle swarm algorithm;

[0037] Iterative module, used to iteratively calculate the post-breakthrough dynamic characterization parameter values ​​under different permeability combinations of each section of the core after CO2 breakthrough, until the iterative convergence condition is met;

[0038] The characterization module is used to simulate the displacement of natural gas by carbon dioxide based on the long core model with the optimal post-breakthrough dynamic characterization parameter values ​​to obtain the dynamic characteristics of carbon dioxide after breakthrough.

[0039] It also includes an electronic device, which includes a memory and a processor. The memory is used to store a computer program. When the processor runs the computer program, it executes the method for dynamic characterization of gas reservoirs after carbon dioxide flooding breakthrough.

[0040] The invention also comprises a computer-readable storage medium storing a computer program. When the computer program is run on a computer, the computer is enabled to execute the method for dynamic characterization of gas reservoirs after breakthrough of carbon dioxide flooding. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 The schematic diagram of the process of the dynamic characterization method after breakthrough of carbon dioxide flooding in gas reservoirs is shown;

[0042] Figure 2 It is a schematic diagram of the long core numerical simulation model;

[0043] Figure 3 This is a schematic diagram of the optimization process of the particle swarm algorithm in the dynamic characterization method after the breakthrough of carbon dioxide flooding in gas reservoirs;

[0044] Figure 4 This is a schematic diagram of the dynamic characterization results after breakthrough of carbon dioxide flooding in gas reservoirs;

[0045] Figure 5 This is a schematic diagram of the structure of the dynamic characterization system after the breakthrough of carbon dioxide flooding in gas reservoirs. DETAILED DESCRIPTION

[0046] The following is further described in detail through specific implementation methods:

[0047] The embodiment is basically as shown in the attached Figure 1 As shown:

[0048] The post-breakthrough dynamic characterization method of gas reservoir CO2 flooding includes:

[0049] S1: Collect gas reservoir cores and measure the properties of each core; the properties of the cores include diameter, length, porosity, pore volume and permeability.

[0050] S2: Calculate the arrangement coefficient of the cores, and connect the cores in series according to the order of the arrangement coefficient to form a long core to meet the core length required for the test; in this embodiment, the cores are connected in series according to the order of the arrangement coefficient from small to large to form a long core. The calculation model of the arrangement coefficient is:

[0051]

[0052] Wherein, R is the arrangement coefficient of the core; L is the diameter of the core, cm; K is the permeability of the core, mD.

[0053] For example, 12 cores were collected from an actual gas reservoir, the properties of the 12 cores were measured respectively, the arrangement coefficients of the 12 cores were calculated, and the cores were connected in series from small to large according to the arrangement coefficients to form a long core. The properties of each core and the order of connection are shown in Table 1.

[0054] Table 1

[0055] Core number Length / cm Permeability / mD Porosity Permutation coefficient Concatenation Order 1 5.19 7.51 0.319 0.691079 12 2 5.21 7.98 0.321 0.652882 11 3 5.16 8.5 0.317 0.607059 8 4 5.24 8.42 0.315 0.622328 10 5 5.2 9.51 0.314 0.546793 6 6 5.02 8.19 0.315 0.612943 9 7 4.77 8.39 0.314 0.568534 7 8 5.25 12.51 0.3424 0.419664 3 9 5.13 12.51 0.3359 0.410072 2 10 4.74 11.82 0.3254 0.401015 1 11 5.29 12.38 0.3005 0.427302 4 12 5.17 11.56 0.3438 0.447232 5

[0056] S3: Conduct a long core carbon dioxide displacement experiment to obtain the breakthrough time and record the experimental values ​​of carbon dioxide and methane concentrations in the produced gas at each time; each time includes the time before and after the breakthrough time, such as Figure 4, a constant injection rate corresponds to different injection volumes. Specifically, a long core is placed in a core holder, and high-pressure nitrogen is injected to blow it dry and evacuate it, and the vacuumed long core is saturated with formation water; the long core saturated with formation water is displaced with dry gas to obtain a long core containing bound water; the long core is then displaced with natural gas to obtain a long core matching the original formation conditions; a depletion mining experiment is first conducted, and carbon dioxide is injected at a constant flow rate after reaching the depletion pressure; the concentrations of carbon dioxide and methane in the produced gas are recorded in real time, and the moment corresponding to the sudden increase in the concentrations of carbon dioxide and methane is the breakthrough time, for example, when the injection of carbon dioxide reaches 0.65PV, the concentrations of carbon dioxide and methane suddenly increase, and this moment is the carbon dioxide breakthrough time; examples of natural gas components at the breakthrough time are shown in Table 2:

[0057] Table 2

[0058] Component name <![CDATA[CH4]]> <![CDATA[CO2]]> <![CDATA[N2]]> content / % 10.46 86.99 2.55

[0059] S4: Create a long core numerical simulation model with the same properties, perform a long core carbon dioxide displacement natural gas simulation, and obtain the simulated values ​​of carbon dioxide and methane concentrations in the produced gas at each time; the schematic diagram of the long core numerical simulation model with the same properties as the experimental core is shown in Figure 2 As shown, the parameters of the numerical simulation model input are shown in Table 3:

[0060] Table 3

[0061] Parameter name Formation pressure / MPa Formation temperature / ℃ <![CDATA[Rock compressibility / MPa -1 > Injection speed / (ml / min) Parameter Value 7.00 80.00 2.5e-6 0.50

[0062] S5: Based on the experimental values ​​and simulation values ​​of the concentrations of carbon dioxide and methane in the produced gas, the post-breakthrough dynamic characterization parameter values ​​are calculated; the calculation model of the post-breakthrough dynamic characterization parameter values ​​is:

[0063]

[0064] Among them, F is the dynamic characterization parameter value after breakthrough; t is the recording time, min; n is the number of records; C e1 is the experimental value of methane concentration in produced gas; C s1 is the simulated value of methane concentration in produced gas; C e2 is the experimental value of carbon dioxide concentration in produced gas; C s2 is the simulated value of the carbon dioxide concentration in the produced gas.

[0065] S6: Use particle swarm algorithm to update the permeability of each section of the core after CO2 breakthrough. The permeability is constant throughout the existing numerical simulation process, but by comparing with the experimental results, it is found that the dynamics before the breakthrough are basically consistent with the experimental results, while the numerical simulation of the rapid rise of CO2 after the breakthrough cannot be represented. If the CO2 breakthrough needs to rise faster, the permeability after the CO2 breakthrough needs to be modified equivalently. The long core used for the experiment is composed of multiple regional cores. The actual measurement method cannot measure the value of each core, that is, the permeability is an uncertain parameter and can be modified in the numerical simulation. Therefore, the particle swarm algorithm is used to find a permeability combination that can match the actual production dynamics.

[0066] In this embodiment, the permeability of each section of the core after the carbon dioxide breakthrough refers to the permeability value of each section of the core corresponding to the carbon dioxide breakthrough moment; specifically including: within the scope of the constraint conditions, initially generating a series of core permeability combinations after the carbon dioxide breakthrough, running numerical simulation to calculate the post-breakthrough dynamic characterization parameter values ​​of each core permeability combination after the carbon dioxide breakthrough, updating the individual optimal value and the group optimal value, updating the position vector and velocity vector of each particle according to the individual optimal value and the group optimal value, and updating a series of core permeability combinations after the carbon dioxide breakthrough; the constraint conditions include the upper and lower limit constraints of the permeability of each section of the core after the carbon dioxide breakthrough, and the high and low relationship between the permeabilities of each section of the core after the carbon dioxide breakthrough is consistent with the high and low relationship between the permeabilities of each section of the core initially.

[0067] The particle swarm algorithm control parameters are shown in Table 4:

[0068] Table 4

[0069]

[0070]

[0071] S7: Repeat steps S4-S6 until the convergence condition is reached, the optimal permeability combination is obtained, and the long core model with the optimal post-breakthrough dynamic characterization parameter value is obtained based on the optimal permeability combination, and the post-breakthrough dynamic characterization of carbon dioxide flooding is achieved through the long core model with the optimal permeability combination. In this embodiment, the convergence iteration condition is the maximum number of numerical simulation runs.

[0072] S8: Based on the long core model with the optimal post-breakthrough dynamic characterization parameter value, the CO2 displacement of natural gas is simulated to obtain the dynamic characteristics after CO2 breakthrough. The iterative curve of the post-breakthrough dynamic characterization parameter value with the increase of the number of numerical simulations during the optimization process is shown in Figure 3 As shown in Figure 2, the dynamic characteristics of the target gas reservoir after CO2 flooding breakthrough are as follows: Figure 4 shown.

[0073] like Figure 5As shown, it also includes a gas reservoir CO2 flooding post-breakthrough dynamic characterization system, including:

[0074] A measurement module is used to collect gas reservoir cores and measure the properties of the cores;

[0075] Long core series connection module, used to calculate the arrangement coefficient of the cores, and connect the cores in series into long cores according to the order of the arrangement coefficients;

[0076] The experimental value acquisition module conducts a long core carbon dioxide displacement natural gas experiment to obtain the breakthrough time and record the experimental values ​​of carbon dioxide and methane concentrations in the produced gas at each moment;

[0077] The simulation value acquisition module is used to create a long core numerical simulation model with the same properties, simulate the displacement of natural gas by carbon dioxide in the long core, and obtain the simulated values ​​of carbon dioxide and methane concentrations in the produced gas at each time;

[0078] A post-breakthrough dynamic characterization parameter calculation module is used to calculate the post-breakthrough dynamic characterization parameter values ​​based on the experimental values ​​and simulation values ​​of the concentrations of carbon dioxide and methane in the produced gas;

[0079] An updating module is used to update the permeability of each section of the core after CO2 breakthrough using a particle swarm algorithm;

[0080] Iterative module, used to iteratively calculate the post-breakthrough dynamic characterization parameter values ​​under different permeability combinations of each section of the core after CO2 breakthrough, until the iterative convergence condition is met;

[0081] The characterization module is used to simulate the displacement of natural gas by carbon dioxide based on the long core model with the optimal post-breakthrough dynamic characterization parameter values ​​to obtain the dynamic characteristics of carbon dioxide after breakthrough.

[0082] It also includes an electronic device, which includes a memory and a processor. The memory is used to store a computer program. When the processor runs the computer program, it executes the method for dynamic characterization of gas reservoirs after carbon dioxide flooding breakthrough.

[0083] The invention also comprises a computer-readable storage medium storing a computer program. When the computer program is run on a computer, the computer is enabled to execute the method for dynamic characterization of gas reservoirs after breakthrough of carbon dioxide flooding.

[0084] The above is only an embodiment of the present invention, and the common knowledge such as the known specific technical solutions and / or characteristics in the solution is not described in detail here. It should be pointed out that for those skilled in the art, without departing from the technical solution of the present invention, several modifications and improvements can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. Dynamic characterization method of gas reservoir after CO2 flooding breakthrough, It is characterized in that include: S1, collect gas reservoir cores and measure the properties of the cores; S2, calculate the arrangement coefficient of the cores, and connect the cores in series according to the order of the arrangement coefficients to form a long core; S3, conduct a long core carbon dioxide displacement natural gas experiment, obtain the breakthrough time, and record the experimental values ​​of carbon dioxide and methane concentrations in the produced gas at each time; S4, creating a long core numerical simulation model with the same properties, performing a long core carbon dioxide displacement natural gas simulation, and obtaining simulated values ​​of carbon dioxide and methane concentrations in the produced gas at each time; S5, based on the experimental and simulated values ​​of the concentrations of carbon dioxide and methane in the produced gas, calculate the values ​​of the post-breakthrough dynamic characterization parameters; S6, using particle swarm optimization to update the permeability of each core segment after CO2 breakthrough; S7, repeat S4-S6 until the convergence condition is reached, and the long core model with the optimal post-breakthrough dynamic characterization parameter value is obtained; S8, based on the long core model with the optimal post-breakthrough dynamic characterization parameter values, the displacement of natural gas by carbon dioxide is simulated to obtain the dynamic characteristics after carbon dioxide breakthrough.

2. The method for characterizing the dynamics of a gas reservoir after a breakthrough of carbon dioxide flooding according to claim 1, It is characterized in that The calculation model of the post-breakthrough dynamic characterization parameter value is: Among them, F is the dynamic characterization parameter value after breakthrough; t is the recording time; n is the number of records; C e1 is the experimental value of methane concentration in produced gas; C s1 is the simulated value of methane concentration in produced gas; C e2 is the experimental value of carbon dioxide concentration in produced gas; C s2 is the simulated value of the carbon dioxide concentration in the produced gas.

3. The method for characterizing the dynamics of a gas reservoir after a breakthrough of carbon dioxide flooding according to claim 1, It is characterized in that The calculation model of the permutation coefficient is: Among them, R is the arrangement coefficient of the core; L is the diameter of the core; K is the permeability of the core.

4. The method for characterizing the dynamics of a gas reservoir after a breakthrough of carbon dioxide flooding according to claim 1, Features: The core properties include diameter, length, porosity, pore volume, and permeability.

5. The method for characterizing the dynamics of a gas reservoir after a breakthrough of carbon dioxide flooding according to claim 1, It is characterized in that The long core carbon dioxide displacement natural gas experiment comprises: placing the long core in a core holder, injecting nitrogen gas at high pressure to blow it dry and evacuate it, and saturating the vacuumed long core with formation water; displacing the long core saturated with formation water with dry gas to obtain a long core containing bound water; then displacing the long core with natural gas to obtain a long core matching the original formation conditions; conducting a depletion production experiment, injecting carbon dioxide displacement at a constant flow rate after reaching the depletion pressure; and recording the concentrations of carbon dioxide and methane in the produced gas in real time.

6. The method for characterizing the dynamics of a gas reservoir after a breakthrough of carbon dioxide flooding according to claim 1, Features: The particle swarm algorithm is used to update the permeability of each section of the core after the carbon dioxide breakthrough. The constraints include the upper and lower limit constraints of the permeability of each section of the core after the carbon dioxide breakthrough. The high and low relationship between the permeabilities of each section of the core after the carbon dioxide breakthrough is consistent with the high and low relationship between the permeabilities of each section of the core at the beginning.

7. Dynamic characterization system of gas reservoir CO2 flooding after breakthrough, It is characterized in that include: A measurement module is used to collect gas reservoir cores and measure the properties of the cores; Long core series connection module, used to calculate the arrangement coefficient of the cores, and connect the cores in series into long cores according to the order of the arrangement coefficients; The experimental value acquisition module conducts a long core carbon dioxide displacement natural gas experiment to obtain the breakthrough time and record the experimental values ​​of carbon dioxide and methane concentrations in the produced gas at each time; The simulation value acquisition module is used to create a long core numerical simulation model with the same properties, simulate the displacement of natural gas by carbon dioxide in the long core, and obtain the simulated values ​​of carbon dioxide and methane concentrations in the produced gas at each time; A post-breakthrough dynamic characterization parameter calculation module is used to calculate the post-breakthrough dynamic characterization parameter values ​​based on the experimental values ​​and simulation values ​​of the concentrations of carbon dioxide and methane in the produced gas; An update module is used to update the permeability of each section of the core after CO2 breakthrough using a particle swarm algorithm; Iterative module, used to iteratively calculate the post-breakthrough dynamic characterization parameter values ​​under different permeability combinations of each section of the core after CO2 breakthrough, until the iterative convergence conditions are met; The characterization module is used to simulate the displacement of natural gas by carbon dioxide based on the long core model with the optimal post-breakthrough dynamic characterization parameter values ​​to obtain the dynamic characteristics of carbon dioxide after breakthrough.

8. An electronic device, It is characterized in that The method comprises a memory and a processor, wherein the memory is used to store a computer program, and when the processor runs the computer program, the method for dynamic characterization of a gas reservoir after carbon dioxide flooding breakthrough according to any one of claims 1 to 7 is executed.

9. A computer-readable storage medium, It is characterized in that The computer stores a computer program, and when the computer program is run on a computer, the computer is enabled to execute the method for dynamic characterization of gas reservoirs after carbon dioxide flooding breakthrough as claimed in any one of claims 1 to 7.

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