Model establishment method and device for predicting oil reservoir gas drive limit recovery ratio

Abstract

The invention discloses a model building method for predicting oil reservoir gas drive limit recovery efficiency, which comprises the following steps of: calculating to obtain gas injection accumulated oil production according to total accumulated oil production, accumulated oil production before oil field gas injection and crude oil density; an injection model is established according to the accumulated gas injection amount, the gas injection accumulated oil production amount and the recovery degree; according to the total cumulative gas production and the cumulative gas production before oil field gas injection, the gas injection cumulative gas production is calculated; establishing a recovery model according to the gas injection cumulative gas production rate, the gas injection cumulative oil production rate and the recovery degree; and the injection model and the recovery model are simultaneously established, a simultaneous model is established, the recovery degree when the gas injection accumulated gas production rate is equal to the gas injection rate is calculated, and the gas drive limit recovery rate is obtained. According to the method, the injection model and the recovery model of the gas drive reservoir are established for the first time, then the simultaneous model is derived and established, and accurate prediction of the gas drive limit recovery ratio is achieved.

Description

Technical Field

[0001] The invention belongs to the technical field of petroleum exploitation, and in particular relates to a model building method and a device for predicting the limit recovery rate of gas drive in oil reservoirs. Background Art

[0002] Since the natural energy of oil reservoirs is limited, the recovery rate of natural energy development is generally low. Therefore, water drive development with higher economic benefits is adopted after natural energy exhaustion development. The recovery rate of water drive development oil reservoirs is generally between 30% and 50%. For the late stage of water drive development with high water content, high recovery degree and low oil recovery rate, the degree of recovery rate improvement by continuing to adopt water drive (including fine water injection, exciting water injection, etc.) is limited; therefore, the oil reservoir is converted to tertiary development, which specifically includes chemical drive, gas drive, etc.

[0003] Theoretical evaluation, indoor experiments and field practice have shown that gas flooding is one of the effective means to improve reservoir recovery after water flooding.

[0004] However, the industry has been lacking a calculation method for predicting gas drive recovery factor and gas drive limit recovery factor; therefore, there is an urgent need to propose a gas drive recovery factor calibration method for gas injection development reservoirs, especially a model establishment method for predicting the gas drive limit recovery factor of oil reservoirs, which can be used to predict the gas drive limit recovery factor, calibrate the gas drive recoverable reserves, and thus support the reporting of reserves and the preparation of development plans.

[0005] The patent application with the publication number of CN 112377177 A and the name of the patent application entitled "Reservoir Recovery Rate Prediction Method and Device" discloses a reservoir recovery rate prediction method and device, which includes: constructing the original model of the multivariate linear regression model for reservoir recovery rate prediction based on a plurality of predetermined parameter variables; establishing a quantitative parameter variable model according to the quantitative parameter variables and the original model; establishing a dummy variable model according to the qualitative parameter variables; introducing the dummy variable model into the parameter variable model to obtain a parameter model containing dummy variables; performing a multicollinearity test on the parameter model containing dummy variables to obtain a fourth model; performing a heteroscedasticity test on the fourth model to obtain a fifth model; performing an autocorrelation test on the fifth model to obtain a reservoir recovery rate prediction model; after obtaining the parameter variable values ​​of the reservoir recovery rate prediction model, inputting them into the reservoir recovery rate prediction model to obtain the reservoir recovery rate prediction value. This patent application is only applicable to predicting reservoir recovery rate, but this patent application cannot predict the gas drive limit recovery rate.

[0006] The patent application publication number is CN 112966978 A, and the name is a patent application for a calibration method for gas drive recovery rate of an oil reservoir, a data processing device, a computer device and a readable storage medium. The patent application discloses a calibration method for gas drive recovery rate of an oil reservoir, a data processing device, a computer device and a readable storage medium. The method includes: S1. According to the cumulative oil production measured by underground volume, the cumulative water production measured by underground volume and the cumulative gas production measured by underground volume, a type of gas drive characteristic curve function is obtained, and a fitting coefficient and a fitting constant are obtained according to the type of gas drive characteristic curve function; S2. The gas drive limit cumulative oil production is calculated according to the fitting coefficient, the fitting constant and the oil content under the gas drive limit conditions; S3. According to the gas drive limit cumulative oil production, combined with the geological reserves of the oil reservoir, the gas drive recovery rate is calculated. The method of this patent application can realize the accurate calibration of gas drive recovery factor. By calibrating the gas drive recovery factor of the oil reservoir, the recoverable reserves of gas drive can be obtained to guide the preparation of gas drive development plan for the oil reservoir, the calibration of recoverable reserves of gas drive oil reservoir and SEC reserve evaluation.

[0007] However, the patent application is to obtain a type of gas drive characteristic curve function based on the cumulative oil production measured by underground volume, the cumulative water production measured by underground volume and the cumulative gas production measured by underground volume, and then calculate the cumulative oil production of gas drive measured by underground volume. This method cannot achieve the purpose of predicting the ultimate recovery rate of gas drive. Summary of the invention

[0008] In order to overcome the above problems existing in the prior art, the purpose of the present invention is to provide a model building method and device for predicting the ultimate recovery factor of oil reservoir gas drive, so as to achieve accurate prediction of the ultimate recovery factor of oil reservoir gas drive.

[0009] To achieve the above object, the technical solution adopted by the present invention is:

[0010] A method for establishing a model for predicting the ultimate recovery factor of oil reservoir gas drive includes the following steps:

[0011] S1: Calculate the cumulative oil production of gas injection according to the total cumulative oil production, the cumulative oil production of the oil field before gas injection and the crude oil density; establish the injection model according to the cumulative gas injection volume, the cumulative oil production of gas injection and the degree of recovery;

[0012] S2: Calculate the cumulative gas production of gas injection according to the total cumulative gas production and the cumulative gas production of the oil field before gas injection; establish a production model according to the cumulative gas production of gas injection, the cumulative oil production of gas injection and the degree of production;

[0013] S3: The injection model and the production model are combined to establish a combined model, and the degree of production is calculated when the cumulative gas production is equal to the injected gas volume, so as to obtain the gas drive limit recovery factor.

[0014] Optionally, in step S1, before establishing the injection model, the units of the cumulative gas injection volume and the cumulative oil production by gas injection are unified.

[0015] Optionally, in step S2, before establishing the production model, the units of the cumulative gas production and the cumulative oil production by gas injection are unified.

[0016] Optionally, in step S1, the injection model is:

[0017]

[0018] Where: G i Cumulative gas injection volume

[0019] N p2 is the total cumulative oil production;

[0020] N p1 is the cumulative oil production of the oil field before gas injection;

[0021] ρ o is the density of crude oil;

[0022] R is the degree of recovery;

[0023] a1 and b1 are fitting parameters.

[0024] Optionally, in step S2, the model is:

[0025]

[0026] Where: G p2 is the total cumulative gas production;

[0027] G p1 It is the cumulative gas production of the oil field before gas injection;

[0028] N p2 is the total cumulative oil production;

[0029] N p1 is the cumulative oil production of the oil field before gas injection;

[0030] ρ o is the density of crude oil;

[0031] R is the degree of recovery;

[0032] a2 and b2 are fitting parameters.

[0033] Optionally, in step S3, the combined model is:

[0034]

[0035] Optional, gas drive limit recovery factor

[0036] A computing device for predicting the ultimate recovery rate of gas drive in oil reservoirs, comprising:

[0037] The injection model establishment module is used to calculate the cumulative oil production of gas injection according to the total cumulative oil production, the cumulative oil production of the oil field before gas injection and the crude oil density; the injection model is established according to the cumulative gas injection volume, the cumulative oil production of gas injection and the degree of recovery;

[0038] The production model establishment module is used to calculate the cumulative gas production of gas injection according to the total cumulative gas production and the cumulative gas production of the oil field before gas injection; and to establish a production model according to the cumulative gas production of gas injection, the cumulative oil production of gas injection and the degree of production;

[0039] The gas drive limit recovery rate prediction and calculation module is used to combine the injection model with the production model to establish a combined model, calculate the degree of production when the cumulative gas production is equal to the injected gas volume, and obtain the gas drive limit recovery rate.

[0040] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the model establishment method for predicting the limit recovery rate of gas drive of oil reservoirs are implemented.

[0041] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the model building method for predicting the gas drive limit recovery factor of an oil reservoir.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] The present invention provides a model establishment method for predicting the gas drive limit recovery rate of oil reservoirs, which can accurately predict the gas drive limit recovery rate of oil reservoirs by accurately fitting the injection model and the production model. In the later stage of gas injection development, as the gas-oil ratio increases, the role of the injected gas as an oil-displacing medium gradually decreases; the higher the gas-oil ratio, the lower the gas storage rate and the smaller the gas injection utilization rate; when the cumulative gas production of gas injection is equal to the injected gas volume, that is, at this time the injected gas is basically completely discharged, the gas-oil ratio of the oil reservoir will reach the economic limit, and the corresponding production degree is the gas drive limit recovery rate.

[0044] The gas drive recovery rate can be roughly predicted through indoor experiments, reservoir numerical simulation, etc.; however, the prediction of the gas drive limit recovery rate under the gas drive limit conditions, that is, the prediction of the gas drive limit recovery rate when the gas-oil ratio reaches the gas drive economic limit, has always been a technology that the industry urgently needs to solve; any previous technical means or methods cannot accurately predict the gas drive limit recovery rate. The present invention establishes the injection model and production model of the gas drive reservoir for the first time, and then derives and establishes a joint model to achieve accurate prediction of the gas drive limit recovery rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The drawings described herein are for illustration purposes only and are not intended to limit the scope of the present disclosure in any way.

[0046] In the attached picture:

[0047] Figure 1 It is a flow chart of the calculation steps of the present invention;

[0048] Figure 2 Injecting models for embodiments of the present invention;

[0049] Figure 3 A model is extracted for the embodiment of the present invention. DETAILED DESCRIPTION

[0050] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0051] It should be understood by those skilled in the art that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0052] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0053] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0054] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0055] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0056] It should be noted that in the claims, any reference signs placed between brackets shall not be construed as limiting the claims. The word "comprising" does not exclude the presence of components or steps not listed in the claims. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The present application may be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names.

[0057] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0058] The present invention is described in detail below with reference to the accompanying drawings.

[0059] Gas-driven oil reservoirs refer to a method of oil production that uses natural gas or other gases to push the oil in the reservoir to flow to the production well. In underground reservoirs, oil and natural gas are usually trapped in rock pores and cracks, so they need to be produced by pressure driving or other methods.

[0060] By injecting natural gas or other gases into the reservoir to increase the pressure inside the reservoir, the oil can be pushed to the oil wells and the recovery rate can be increased. Since gas has a greater flow capacity than liquid fluids, gas-driven reservoirs can more effectively improve oil recovery efficiency.

[0061] Gas drive reservoir generally includes the following steps:

[0062] Data collection: Through geological exploration and testing, key data such as physical parameters of the oil layer, gas pressure, permeability, etc. are obtained to determine the gas injection method and plan to be used.

[0063] Gas injection well construction: Select appropriate oil wells as gas injection wells, and carry out wellbore completion, connection and pressure treatment to ensure safe and stable gas injection operations.

[0064] Gas injection: Injecting natural gas or other gases into the oil layer to increase the pressure inside the oil layer and promote the flow of oil to the oil well. The gas injection process needs to be carefully designed and monitored to ensure the stability and flow of the injected gas.

[0065] Oil well adjustment: By properly adjusting the opening position and flow rate of the oil well, the recovery rate can be improved and problems such as oil-water mixing can be avoided as much as possible.

[0066] Monitoring and evaluation: Real-time monitoring of oil field production capacity, pressure changes, and gas and water distribution, and adjustments and optimizations based on actual conditions to maximize oil field extraction efficiency.

[0067] like Figure 1 As shown, a model building method for predicting the limit recovery factor of gas drive in oil reservoirs of the present invention comprises the following steps:

[0068] 1) Cumulative gas injection volume processing

[0069] Since the cumulative gas injection volume G in the comprehensive table of oilfield development data i The volume unit is 100 million cubic meters. When processing data, the unit should be unified into ten thousand cubic meters. The specific method is to convert the cumulative gas injection volume G i Multiply the report data by 10,000.

[0070] 2) Treatment of cumulative oil production from gas injection

[0071] Since the total cumulative oil production N in the comprehensive table of oilfield development data p2 Measured in tons of mass and including the cumulative oil production before gas injection in the oil field Np1 , the data processing unit should be unified as ten thousand cubic meters; the specific method is to convert the total cumulative oil production N p2 Subtract the cumulative oil production before gas injection in the oil field N p1 The result is then divided by the density of crude oil to obtain the cumulative oil production from gas injection.

[0072] 3) Injection model establishment

[0073] The present invention obtains the injection model by continuously simulating and fitting a large amount of production data, which is defined as the relationship function between the cumulative gas injection volume, the ratio of the cumulative gas injection oil production and the recovery degree:

[0074]

[0075] Where: G i is the cumulative gas injection volume, billion cubic meters;

[0076] N p2 is the total cumulative oil production, 10,000 tons;

[0077] N p1 is the cumulative oil production of the oil field before gas injection, 10,000 tons;

[0078] ρ o is the density of crude oil, tons / cubic meter;

[0079] R is the degree of recovery, in percentage;

[0080] a1 and b1 are fitting parameters.

[0081] 4) Treatment of cumulative gas production during gas injection

[0082] Since the total cumulative gas production G in the comprehensive table of oilfield development data p2 Measured in volume units of 100 million cubic meters and including the cumulative gas production before gas injection in the oil field G p1 When processing data, the unit must be unified into ten thousand cubic meters. The specific method is to subtract the cumulative gas production before oil field gas injection from the total cumulative gas production and multiply it by 10,000.

[0083] 5) Establishment of mining model

[0084] The recovery model is defined as the relationship function between the ratio of the cumulative gas production and the cumulative oil production after gas injection and the recovery degree:

[0085]

[0086] Where: G p2 is the total cumulative gas production, billion cubic meters;

[0087] G p1 is the cumulative gas production of the oil field before gas injection, billion cubic meters;

[0088] Np2 is the total cumulative oil production, 10,000 tons;

[0089] N p1 is the cumulative oil production of the oil field before gas injection, 10,000 tons;

[0090] ρ o is the density of crude oil, tons / cubic meter;

[0091] R is the degree of recovery, in percentage;

[0092] a2 and b2 are fitting parameters.

[0093] 6) Joint model establishment

[0094] Combine the injection model and the production model to establish a combined model:

[0095]

[0096] 7) Prediction of ultimate recovery factor of gas drive

[0097] In the later stage of gas injection development, as the gas-oil ratio increases, the role of injected gas as an oil displacement medium gradually decreases; the higher the gas-oil ratio, the lower the gas storage rate and the smaller the gas injection utilization rate; when the cumulative gas production of gas injection is equal to the injected gas volume, that is, (G p2 -G p1 )≈G i , at this time the formula in step 6) is:

[0098]

[0099] At this time, the gas-oil ratio of the reservoir will reach the economic limit, and the injected gas will be basically completely discharged. The corresponding recovery degree R is the ultimate recovery factor of gas drive (URF) ginj Therefore, from the formula in step 6), we can see that

[0100]

[0101] A computing device for predicting the limit recovery rate of gas drive in oil reservoirs according to the present invention comprises:

[0102] The injection model building module is used to build a multivariate function relationship model based on the cumulative gas injection volume, the cumulative oil production of gas injection and the degree of recovery;

[0103] The production model establishment module is used to establish a multivariate function relationship model based on the cumulative gas production of gas injection, the cumulative oil production of gas injection and the degree of production;

[0104] The gas drive limit recovery factor prediction module is used to calculate the gas drive limit recovery factor according to the fitting parameters calculated in the injection model establishment module and the production model.

[0105] An electronic device of the present invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the model establishment method for predicting the limit recovery rate of gas drive of oil reservoirs are implemented.

[0106] A computer-readable storage medium of the present invention stores a computer program, and when the computer program is executed by a processor, the steps of the model establishment method for predicting the gas drive limit recovery factor of an oil reservoir are implemented.

[0107] Example

[0108] Combine the following Figures 1 to 3 The specific implementation modes of the present invention are further described.

[0109] like Figure 2 As shown, in this embodiment, taking X gas injection development reservoir as an example, a model building method for predicting the gas drive limit recovery factor is introduced in detail.

[0110] First, the data of the cumulative gas injection volume, cumulative oil production and recovery degree of the X gas injection development reservoir are processed. The detailed process is shown in Table 1.

[0111] According to the formula: have to

[0112]

[0113] The injection model of X gas injection reservoir is as follows: Figure 2 As shown, the fitting accuracy is 0.9457, indicating that the injection model of reservoir X is accurate and can be applied.

[0114] Secondly, the data of the cumulative gas production, cumulative oil production and recovery degree of the X gas injection development reservoir are processed. The detailed process is shown in Table 1.

[0115] According to the formula:

[0116] have to

[0117]

[0118] The X reservoir production model is formula (2), and the fitting results are as follows: Figure 3 shown; from Figure 3 It can be seen that the fitting accuracy is 0.9873, which shows that the X reservoir production model is accurate and can be applied.

[0119] Combining the two equations, we get a1=3.6066, a2=1.6559, b1=0.3247, b2=0.4325, and according to the formula:

[0120] have to

[0121] URF ginj =(1.6559-3.6066) / (0.3247-0.4325)=18.10

[0122] That is, for the X gas injection development reservoir, its gas drive limit recovery is 18.10%. The prediction results show that the maximum economic limit recovery rate that can be achieved by gas drive in the X reservoir under the conditions of gas injection development is 18.10%, and its gas drive limit recoverable reserves are predicted to be as high as 1.7738 million cubic meters, which provides an important reference for the calibration of gas drive recoverable reserves and the preparation of gas drive development plans.

[0123] Table 1

[0124]

[0125]

[0126]

[0127] Unless otherwise specified, the working modes or control modes involved in the above embodiments are all conventional working modes or control modes in the art.

[0128] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0129] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Other modifications or equivalent substitutions made to the technical solution of the present invention by ordinary technicians in the field should be included in the scope of the claims of the present invention as long as they do not depart from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for establishing a model for predicting the ultimate recovery factor of oil reservoir gas drive, characterized in that: The following steps are involved: S1: Calculate the cumulative oil production of gas injection based on the total cumulative oil production, the cumulative oil production of the oil field before gas injection and the crude oil density; An injection model is established based on the cumulative gas injection volume, cumulative gas injection oil production and recovery degree; S2: Calculate the cumulative gas production of gas injection based on the total cumulative gas production and the cumulative gas production of the oil field before gas injection; A production model is established based on the cumulative gas production, cumulative oil production and production degree of gas injection; S3: The injection model and the production model are combined to establish a combined model, and the degree of production is calculated when the cumulative gas production is equal to the injected gas volume, so as to obtain the gas drive limit recovery factor.

2. A model building method for predicting the ultimate recovery factor of oil reservoir gas drive according to claim 1, characterized in that: In step S1, before establishing the injection model, the units of the cumulative gas injection volume and the cumulative oil production by gas injection are unified.

3. The method for establishing a model for predicting the ultimate recovery factor of oil reservoir gas drive according to claim 1, characterized in that: In step S2, before establishing the production model, the units of the cumulative gas production and the cumulative oil production are unified.

4. The method for establishing a model for predicting the ultimate recovery factor of oil reservoir gas drive according to claim 1, characterized in that: In step S1, the injection model is: Where: G i is the cumulative gas injection volume; N p2 is the total cumulative oil production; N p1 is the cumulative oil production of the oil field before gas injection; ρ o is the density of crude oil; R is the degree of recovery; a1 and b1 are fitting parameters.

5. A model building method for predicting the ultimate recovery factor of oil reservoir gas drive according to claim 4, characterized in that: In step S2, the model is: Where: G p2 is the total cumulative gas production; G p1 It is the cumulative gas production of the oil field before gas injection; N p2 is the total cumulative oil production; N p1 is the cumulative oil production of the oil field before gas injection; ρ o is the density of crude oil; R is the degree of recovery; a2 and b2 are fitting parameters.

6. A method for establishing a model for predicting the ultimate recovery factor of gas drive in oil reservoirs according to claim 5, characterized in that: In step S3, the combined model is:

7. A model building method for predicting the ultimate recovery factor of oil reservoir gas drive according to claim 6, characterized in that: Gas drive limit recovery 8. A computing device for predicting the ultimate recovery factor of gas drive in oil reservoirs, characterized in that: include: The injection model building module is used to calculate the cumulative oil production of gas injection based on the total cumulative oil production, the cumulative oil production of the oil field before gas injection and the crude oil density; An injection model is established based on the cumulative gas injection volume, cumulative gas injection oil production and recovery degree; The production model establishment module is used to calculate the cumulative gas production of gas injection based on the total cumulative gas production and the cumulative gas production of the oil field before gas injection; A production model is established based on the cumulative gas production, cumulative oil production and production degree of gas injection; The gas drive limit recovery rate prediction and calculation module is used to combine the injection model with the production model to establish a combined model, calculate the degree of production when the cumulative gas production is equal to the injected gas volume, and obtain the gas drive limit recovery rate.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for establishing a model for predicting the ultimate recovery factor of gas drive of an oil reservoir as claimed in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the method for establishing a model for predicting the ultimate recovery factor of gas drive in oil reservoirs as claimed in any one of claims 1 to 7.

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