Gas injection reservoir gas channeling prediction method and device, electronic equipment and medium

Abstract

The embodiment of the invention discloses a gas injection reservoir gas channeling prediction method and device, electronic equipment and a medium. The method comprises the following steps: determining influence factors influencing gas seeing time, and determining at least two groups of influence factor test parameters according to the value range of the influence factors; establishing a water-gas alternating flooding well group model according to the test parameters of the influence factors, and performing injection-production simulation on the water-gas alternating flooding well group model until the production gas-oil ratio of the water-gas alternating flooding well group model reaches a preset value; according to the corresponding relation between the time obtained in the injection-production simulation process and the production gas-oil ratio and the pre-determined corresponding relation between the gas phenomenon and the production gas-oil ratio, the gas seeing time is determined; and according to the influence factor test parameters and the gas seeing time, a gas channeling prediction model is established, and gas channeling of the oil reservoir is predicted based on the gas channeling prediction model. By establishing the corresponding relation between the influence factors and the gas seeing time, accurate prediction of the gas seeing time is achieved, and then accurate prediction of gas channeling is achieved.

Description

Technical Field

[0001] The present application relates to the field of oil and gas field development, and in particular to a method, device, electronic equipment and medium for predicting gas crossover in a gas injection reservoir. Background Art

[0002] Carbonate reservoirs are mostly developed by alternating water and gas production. However, due to the strong heterogeneity of the reservoir, gas channeling is prone to occur during the gas injection process, which in turn affects the oil well production capacity and development effect. Therefore, it is necessary to manage and control the gas channeling phenomenon during the injection and production process to improve the production and economic benefits of the reservoir.

[0003] Using traditional methods such as production gas-oil ratio monitoring or PLT test diagnosis, it is difficult to implement production control once gas channeling is detected. Therefore, a gas channeling prediction method is urgently needed to diagnose the occurrence of gas channeling in advance and implement control. Summary of the invention

[0004] The present application provides a method, device, electronic equipment and medium for predicting gas breakthrough in a gas injection reservoir, which establishes a corresponding relationship between influencing factors and gas breakthrough time through a water-gas alternating drive well group model, thereby achieving accurate prediction of gas breakthrough time and further achieving accurate prediction of gas breakthrough.

[0005] According to one aspect of the present application, a method for predicting gas crossover in a gas injection reservoir is provided, the method comprising:

[0006] Determine the influencing factors that affect the gas appearance time, and determine at least two groups of influencing factor test parameters according to the value range of the influencing factors; wherein the influencing factors include geological factors and development factors;

[0007] A water-gas alternating drive well group model is established according to the experimental parameters of each influencing factor, and injection-production simulation is performed on the water-gas alternating drive well group model until the production gas-oil ratio of the water-gas alternating drive well group model reaches a preset value;

[0008] According to the corresponding relationship between the time obtained in the injection-production simulation process and the production gas-oil ratio, and the corresponding relationship between the predetermined gas phenomenon and the production gas-oil ratio, the gas phenomenon is determined to be the gas breakthrough gas volume stable gas appearance time;

[0009] A gas channeling prediction model is established according to the influencing factor test parameters and the gas appearance time, so as to predict the gas channeling of the oil reservoir based on the gas channeling prediction model.

[0010] According to another aspect of the present application, a gas injection reservoir gas channeling prediction device is provided, the device comprising:

[0011] An influencing factor determination module is used to determine influencing factors that affect the gas appearance time, and determine at least two groups of influencing factor test parameters according to the value range of the influencing factors; wherein the influencing factors include geological factors and development factors;

[0012] The water-gas alternating drive well group model establishment module is used to establish a water-gas alternating drive well group model according to the experimental parameters of various influencing factors, and to perform injection and production simulation on the water-gas alternating drive well group model until the production gas-oil ratio of the water-gas alternating drive well group model reaches a preset value;

[0013] A gas appearance time determination module is used to determine the gas appearance time when the gas phenomenon is gas breakthrough gas volume stabilization according to the corresponding relationship between the time obtained in the injection and production simulation process and the production gas-oil ratio, and the corresponding relationship between the predetermined gas phenomenon and the production gas-oil ratio;

[0014] The gas channeling prediction model establishment module is used to establish a gas channeling prediction model according to the influencing factor test parameters and the gas appearance time, so as to predict the gas channeling of the oil reservoir based on the gas channeling prediction model.

[0015] According to another aspect of the present application, an electronic device is provided, the device comprising:

[0016] at least one processor; and

[0017] a memory communicatively connected to at least one processor; wherein,

[0018] The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor so that the at least one processor can execute the gas channeling prediction method for gas injection reservoirs according to any embodiment of the present application.

[0019] According to another aspect of the present application, a computer-readable storage medium is provided, which stores computer instructions, and the computer instructions are used to enable a processor to implement the gas breakthrough prediction method of a gas injection reservoir according to any embodiment of the present application when executed.

[0020] The technical solution of the embodiment of the present application determines the influencing factors that affect the time to see gas, and determines at least two groups of test parameters of the influencing factors according to the value range of the influencing factors; wherein the influencing factors include geological factors and development factors; a water-gas alternating drive well group model is established for each influencing factor test parameter, and the water-gas alternating drive well group model is subjected to injection-production simulation until the production gas-oil ratio of the water-gas alternating drive well group model reaches a preset value; according to the correspondence between the time obtained during the injection-production simulation and the production gas-oil ratio, and the correspondence between the predetermined gas phenomenon and the production gas-oil ratio, the time to see gas when the gas phenomenon is gas breakthrough and the gas volume is stable is determined; according to the influencing factor test parameters and the time to see gas, a gas channeling prediction model is established to predict the gas channeling of the oil reservoir based on the gas channeling prediction model. The technical solution of the embodiment of the present application establishes a correspondence between the influencing factors and the time to see gas through the water-gas alternating drive well group model, thereby realizing an accurate prediction of the time to see gas, and further realizing an accurate prediction of gas channeling.

[0021] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 This is a flow chart of a method for predicting gas crossflow in a gas injection reservoir provided according to Example 1 of the present application;

[0024] Figure 2 This is a flow chart of a method for predicting gas crossflow in a gas injection reservoir provided in Example 2 of the present application;

[0025] Figure 3 A two-injection and two-production gas injection reservoir numerical simulation model is provided according to the second embodiment of the present application;

[0026] Figure 4 It is a schematic diagram of comparison between actual gas-seeping time and fitted gas-seeping time provided according to Example 2 of the present application;

[0027] Figure 5 It is a structural schematic diagram of a gas channeling prediction device for gas injection reservoirs provided according to the third embodiment of the present application;

[0028] Figure 6It is a structural schematic diagram of an electronic device for implementing a method for predicting gas crossflow in a gas injection reservoir provided in Example 4 of the present application. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0030] It should be noted that the terms "first", "second", "third", "fourth", "actual", "preset", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0031] Embodiment 1

[0032] Figure 1 This is a flow chart of a method for predicting gas crossflow in a gas injection reservoir provided in Example 1 of the present application. The present application embodiment can be applied to predicting gas crossflow in the injection and production process. The method can be executed by a gas crossflow prediction device for a gas injection reservoir. The gas crossflow prediction device for a gas injection reservoir can be implemented in the form of hardware and / or software. The gas crossflow prediction device for a gas injection reservoir can be configured in an electronic device. Figure 1 As shown, the method includes:

[0033] S110, determining influencing factors that affect the gas appearance time, and determining at least two groups of influencing factor test parameters according to the value range of the influencing factors; wherein the influencing factors include geological factors and development factors.

[0034] Gas channeling refers to the phenomenon that during the oil and gas production process, the gas breaks through the underground crude oil barrier and enters the oil well, causing the gas-oil ratio in the oil well to rise sharply. Gas channeling during oil and gas production will affect the production capacity and development effect of the oil well. At the same time, once the occurrence of gas channeling is detected, it is difficult to implement production regulation. Therefore, it is necessary to predict the gas channeling phenomenon during the injection and production process in order to implement reservoir production regulation in advance and improve the production and economic benefits of the reservoir.

[0035] Optionally, before determining the factors affecting the time to gas appearance, it also includes: establishing a gas channeling determination principle based on primary and secondary bases; wherein the primary base is that the gas-oil ratio of the production well exceeds the original dissolved gas-oil ratio; the secondary base is that an increase in the output of the tracer is monitored in the gas produced by the production well and lasts for more than three days.

[0036] Among them, the main basis for the determination principle of gas channeling is that the gas-oil ratio of the production well exceeds the original dissolved gas-oil ratio. When the gas-oil ratio of the production well exceeds the original dissolved gas-oil ratio, the corresponding production time is the production time when the production gas-oil ratio curve turns from a horizontal straight line to an upward inflection point, that is, the gas appearance time. It can be seen that the gas appearance time is of great significance for the prediction of gas channeling.

[0037] It is understandable that when determining the gas-seeking time in advance, various factors affecting the gas-seeking time need to be considered, among which the various factors affecting the gas-seeking time mainly include two categories: geological factors and development factors.

[0038] Specifically, to determine the influencing factors that affect the gas-seeking time is to determine the geological factors and development factors that affect the gas-seeking time. After determining the geological factors and development factors that affect the gas-seeking time, at least two groups of influencing factor test parameters can be determined by designing a series of test schemes based on the value ranges of the geological factors and development factors that affect the gas-seeking time.

[0039] S120. Establish a water-gas alternating drive well group model according to the experimental parameters of each influencing factor, and perform injection-production simulation on the water-gas alternating drive well group model until the production gas-oil ratio of the water-gas alternating drive well group model reaches a preset value.

[0040] Among them, water-gas alternating flooding is a commonly used reservoir development method. By alternating water flooding and gas flooding, the characteristics of water and gas can be fully utilized to improve the recovery rate of the reservoir. The water-gas alternating flooding well group model can simulate the alternating process of water flooding and gas flooding to achieve the purpose of simulating the real reservoir development process.

[0041] Specifically, after determining at least two groups of influencing factor test parameters, a water-gas alternating drive well group model can be established for each influencing factor test parameter, and the water-gas alternating drive well group model is subjected to injection-production simulation according to the designed test plan until the production gas-oil ratio of the water-gas alternating drive well group model reaches a preset value. It should be noted that, since it is necessary to obtain the corresponding relationship between the time and the production gas-oil ratio in the injection-production simulation process including obvious gas channeling, the preset value of the production gas-oil ratio should be greater than the corresponding production gas-oil ratio when obvious gas channeling occurs.

[0042] S130, according to the correspondence between the time obtained in the injection-production simulation process and the production gas-oil ratio, and the correspondence between the predetermined gas phenomenon and the production gas-oil ratio, determine the gas phenomenon as the gas breakthrough gas volume stable gas appearance time.

[0043] Among them, gas phenomena include gas not breaking through, gas breaking through with stable gas volume, gas breaking through close to gas channeling and obvious gas channeling. Different gas phenomena correspond to different production gas-oil ratio ranges, and the corresponding relationship between the two can be determined in advance.

[0044] Specifically, the corresponding relationship between the time and the production gas-oil ratio obtained in the injection-production simulation process and the corresponding relationship between the predetermined gas phenomenon and the production gas-oil ratio are converted to obtain the corresponding relationship between the gas phenomenon and time. After obtaining the corresponding relationship between the gas phenomenon and time, the gas phenomenon can be determined as the gas breakthrough gas volume stable gas appearance time.

[0045] It should be noted that, except for the gas not breaking through, the production gas-oil ratios corresponding to the other gas phenomena all exceed the original solution gas-oil ratio, and therefore, the times corresponding to the other gas phenomena can be referred to as the gas appearance time. In the embodiment of the present application, since the gas channeling phenomenon is predicted, it is necessary to specify the gas appearance time when the gas phenomenon is the gas breakthrough and the gas volume is stable.

[0046] S140, establishing a gas channeling prediction model according to the influencing factor test parameters and the gas appearance time, so as to predict the gas channeling of the oil reservoir based on the gas channeling prediction model.

[0047] In the embodiment of the present application, after determining the influencing factor test parameters and the gas appearance time, a gas channeling prediction model can be established based on the influencing factor test parameters and the gas appearance time. By inputting the influencing factors, the gas appearance time is accurately predicted, and then the gas channeling is predicted, achieving the technical effect of predicting the gas channeling of the oil reservoir based on the gas channeling prediction model.

[0048] The technical solution of the embodiment of the present application determines the influencing factors that affect the gas emergence time, and determines at least two groups of influencing factor test parameters based on the value range of the influencing factors; wherein the influencing factors include geological factors and development factors; a water-gas alternating drive well group model is established for each influencing factor test parameter, and the water-gas alternating drive well group model is subjected to injection-production simulation until the production gas-oil ratio of the water-gas alternating drive well group model reaches a preset value; based on the correspondence between the time obtained during the injection-production simulation and the production gas-oil ratio, and the correspondence between the predetermined gas phenomenon and the production gas-oil ratio, the gas emergence time when the gas phenomenon is gas breakthrough and the gas volume is stable is determined; based on the influencing factor test parameters and the gas emergence time, a gas channeling prediction model is established to predict the gas channeling of the oil reservoir based on the gas channeling prediction model. The technical solution of the embodiment of the present application establishes a correspondence between the influencing factors and the gas emergence time through the water-gas alternating drive well group model, thereby realizing the accurate prediction of the gas emergence time, and further realizing the accurate prediction of gas channeling.

[0049] Embodiment 2

[0050] Figure 2 This is a flow chart of a method for predicting gas channeling in a gas injection reservoir provided in Example 2 of this application. This embodiment of this application is optimized based on the above embodiment. For solutions not described in detail in this embodiment of this application, please refer to the above embodiment. Figure 2 As shown, the method of the embodiment of the present application specifically includes the following steps:

[0051] S210. Determine the factors that affect the gas appearance time, and determine at least two groups of test parameters of the influencing factors according to the value range of the influencing factors; wherein the influencing factors include geological factors and development factors.

[0052] The influencing factors include at least one of the following: formation dip, oil layer thickness, permeability, injection-production well spacing, injection-production pressure difference, and water-gas ratio. It can be understood that formation dip, oil layer thickness, and permeability are geological factors, and injection-production well spacing, injection-production pressure difference, and water-gas ratio are development factors.

[0053] Among them, the formation inclination will affect the upward velocity of the injected gas; the permeability will affect the gas migration velocity; the oil layer thickness will affect the gravity differentiation effect during gas injection development; the injection-production well spacing will affect the migration distance of the injected gas; the water-gas ratio will affect the ratio of injected water and injected gas injected into the formation, and thus affect the unit gas appearance time; the injection-production pressure difference will affect the injection velocity of the fluid.

[0054] Specifically, according to the value range of the influencing factors, at least two groups of influencing factor test parameters are determined, including: determining a preset number of values ​​from the value range of the influencing factors respectively; based on the orthogonal experimental design principle, combining the preset number of values ​​of different influencing factors to obtain at least two groups of influencing factor test parameters.

[0055] Among them, the value ranges of the influencing factors are: the value range of the formation dip is 0~10°, the value range of the reservoir permeability is 50~1000mD, the value range of the oil layer thickness is 50~300m, the value range of the injection-production well spacing is 500~3000m, the value range of the water-gas ratio is 0.3~1.2, and the value range of the injection-production pressure difference is 1~6Mpa.

[0056] Among them, orthogonal experiment is a statistical method used to design and analyze multi-factor experiments. It systematically examines the impact of multiple factors on the experimental results within a limited number of experiments by selecting a set of orthogonal arrays, and determines the main effect and interaction effect of each factor. Through the design of orthogonal arrays, it can be ensured that the interference between factors is minimized, so as to effectively separate and measure the effect of each factor. It should be noted that although orthogonal experiments can obtain relatively comprehensive results within a limited number of experiments, it is still necessary to select appropriate experimental design and analysis methods according to actual conditions to ensure that the experimental results are reliable and interpretable.

[0057] After determining a preset number of values ​​from the value range of the influencing factors, the preset number of values ​​of different influencing factors can be combined based on the orthogonal test design principle to obtain at least two groups of influencing factor test parameters.

[0058] For example, according to the reasonable value ranges of the six influencing factors that have been determined, six different values ​​are further determined, and through the orthogonal experiment design principle, a six-factor six-level orthogonal experiment parameter table can be obtained, as shown in Table 1. It should be noted that according to the six different values ​​of the six factors, more orthogonal experiment parameters can be obtained through the orthogonal experiment design principle, which are simplified to thirty-six here for the convenience of explanation.

[0059] Table 1 Orthogonal test parameters

[0060]

[0061]

[0062] S220. A water-gas alternating drive well group model is established according to the experimental parameters of each influencing factor, and injection-production simulation is performed on the water-gas alternating drive well group model until the production gas-oil ratio of the water-gas alternating drive well group model reaches a preset value.

[0063] In an embodiment of the present application, after determining at least two groups of influencing factor test parameters, a water-gas alternating drive well group model can be established for each influencing factor test parameter, and injection and production simulation can be performed on the water-gas alternating drive well group model according to the designed test plan until the production gas-oil ratio of the water-gas alternating drive well group model reaches a preset value.

[0064] Specifically, a water-gas alternating drive well group model is established for each influencing factor test parameter, and an injection-production simulation is performed on the water-gas alternating drive well group model until the production gas-oil ratio of the water-gas alternating drive well group model reaches a preset value, including: establishing an initial well group model based on Petrel geological modeling software and tNavigator numerical simulation software; inputting the influencing factor test parameters into the initial well group model to obtain the water-gas alternating drive well group model corresponding to the influencing factor test parameters; performing injection-production simulation on the water-gas alternating drive well group model corresponding to each influencing factor test parameter to obtain the production gas-oil ratio corresponding to different times, until the production gas-oil ratio of the water-gas alternating drive well group model reaches the preset value, and the injection-production simulation ends.

[0065] After the initial well group model is established based on the Petrel geological modeling software and the tNavigator numerical simulation software, the different groups of influencing factor test parameters can be respectively input into the initial well group model for at least two groups of influencing factor test parameters to obtain the water-gas alternating drive well group model corresponding to the group of influencing factor test parameters. Then, the injection-production simulation is performed for the water-gas alternating drive well group model corresponding to each group of influencing factor test parameters to obtain at least two groups of production gas-oil ratios corresponding to different times, until the production gas-oil ratio of the water-gas alternating drive well group model reaches the preset value, and the injection-production simulation ends.

[0066] For example, a "two-injection and two-production" water-gas alternating drive well group model can be established based on the Petrel geological modeling software and the tNavigator numerical simulation software. The setting parameters in each group of experiments are input to calculate the process under different geological conditions and injection-production modes. The calculation cutoff point is a production gas-oil ratio of 1400m 3 / m 3 Among them, "two injection and two production" is a common oil reservoir exploitation scheme, also known as the two-gas reservoir injection and production well development method. This scheme refers to setting up two gas injection wells and two gas production wells in a gas reservoir at the same time. Figure 3 A numerical simulation model of a two-injection and two-production gas injection reservoir is shown. In the absence of well interference, it can also be one injection and one production. It can also be three injections and three productions, four injections and four productions, etc., which are not limited here. Among them, the calculation cutoff point is set to the production gas-oil ratio of 1400m 3 / m 3 , 1400m 3 / m 3 Generally, it is the limit production gas-oil ratio of the oil well, which is much greater than the corresponding production gas-oil ratio when gas channeling occurs. It can be understood that the calculation cutoff point can be set to any value between the production gas-oil ratio corresponding to gas channeling and 1400 according to actual needs.

[0067] S230, according to the correspondence between the time obtained in the injection-production simulation process and the production gas-oil ratio, and the correspondence between the predetermined gas phenomenon and the production gas-oil ratio, determine the gas phenomenon as the gas breakthrough gas volume stable gas appearance time.

[0068] The process of determining the correspondence between the predetermined gas phenomenon and the production gas-oil ratio includes: obtaining the production gas-oil ratio and gas phenomenon of the developed unit of the oil reservoir; wherein the gas phenomenon includes no gas breakthrough, stable gas breakthrough gas volume, gas breakthrough close to gas channeling and obvious gas channeling; determining the production gas-oil ratio range corresponding to different gas phenomena, and establishing the correspondence between the gas phenomenon and the production gas-oil ratio.

[0069] In the embodiment of the present application, the gas-oil ratio of the developed unit of the reservoir and the gas phenomenon can be obtained to determine the gas-oil ratio range corresponding to different gas phenomena, and establish the corresponding relationship between the gas phenomenon and the gas-oil ratio. Generally speaking, the corresponding relationship between the gas phenomenon and the gas-oil ratio is as follows: ① The gas-oil ratio is equal to the original dissolved gas-oil ratio, and the gas has not broken through at this time; ② The gas-oil ratio is greater than or equal to the original dissolved gas-oil ratio, and is less than or equal to 300m 3 / m 3 , gas breakthrough volume is stable; ③ production gas-oil ratio is greater than or equal to 300m 3 / m 3 , and less than or equal to 700m 3 / m 3 , gas breakthrough is close to gas channeling; ④ production gas-oil ratio is greater than or equal to 700m 3 / m 3 , obviously angry.

[0070] After determining the correspondence between the gas phenomenon and the production gas-oil ratio, the gas phenomenon can be determined as the gas breakthrough gas volume stability time based on the correspondence between the time and the production gas-oil ratio obtained during the injection-production simulation process and the predetermined correspondence between the gas phenomenon and the production gas-oil ratio.

[0071] Specifically, according to the correspondence between the time obtained during the injection-production simulation and the production gas-oil ratio, and the correspondence between the predetermined gas phenomenon and the production gas-oil ratio, the gas-seeking time when the gas phenomenon is gas breakthrough and the gas volume is stable is determined, including: according to the correspondence between the predetermined gas phenomenon and the production gas-oil ratio, determining the target production gas-oil ratio corresponding to the gas phenomenon when the gas breakthrough gas volume is stable; according to the correspondence between the time obtained during the injection-production simulation and the production gas-oil ratio, determining the time corresponding to the target production gas-oil ratio as the gas-seeking time.

[0072] Among them, the production gas-oil ratio corresponding to the gas phenomenon of gas breakthrough and stable gas volume is a range, and the target production gas-oil ratio is the maximum value in the range. After the correspondence between the gas phenomenon and the production gas-oil ratio is determined in advance, the target production gas-oil ratio corresponding to the gas phenomenon of gas breakthrough and stable gas volume can be determined, and the time corresponding to the target production gas-oil ratio is determined according to the correspondence between the time obtained in the injection and production simulation process and the production gas-oil ratio, as the gas appearance time. It should be noted that in step S220, at least two groups of production gas-oil ratios corresponding to different times are obtained. Therefore, in this step, at least two corresponding gas appearance times can also be obtained.

[0073] S240: Establish a gas channeling prediction model according to the influencing factor test parameters and the gas appearance time, so as to predict the gas channeling of the oil reservoir based on the gas channeling prediction model.

[0074] In the embodiment of the present application, after determining the influencing factor test parameters and the gas appearance time, a gas channeling prediction model can be established according to the influencing factor test parameters and the gas appearance time to predict the gas channeling of the oil reservoir based on the gas channeling prediction model.

[0075] Specifically, a gas channeling prediction model is established according to the influencing factor test parameters and the gas appearance time, including: performing nonlinear regression fitting on at least two groups of influencing factor test parameters and the corresponding gas appearance time, and obtaining a fitting formula that uses the influencing factors to represent the gas appearance time as the gas channeling prediction model.

[0076] Among them, nonlinear regression fitting is a statistical analysis method used to fit nonlinear data. Compared with linear regression, nonlinear regression can more accurately describe the complex relationships in the data.

[0077] In the embodiment of the present application, when performing nonlinear regression fitting on at least two groups of influencing factor test parameters and the corresponding gas-seeing time, the following steps are included:

[0078] S1, summarizing the orthogonal test parameter data and the corresponding gas-seeing time data into a table as a data source;

[0079] S2, determine the mathematical form of the required fitting formula, select the Levenberg-Marquardt method and the general global optimization method as the optimization algorithm, and write a Python code that meets the required fitting accuracy to form a data fitting program;

[0080] S3, run the program to read the data, output the formula results, fitting correlation coefficient and determination coefficient, and the output fitting formula is as follows:

[0081] T=1.639θ 2.124*10^-15 H 0.036 K -0.014 L-0.098 P 1.876 r -7.514*10^-4 +92.278

[0082] Among them, T represents the time to see gas, in months; θ represents the formation dip, in degrees; H represents the oil layer thickness, in meters; K represents the permeability, in mD; L represents the injection-production well spacing, in meters; P represents the injection-production pressure difference, in MPa; r represents the water-gas ratio. The above fitting formula that uses influencing factors to represent the time to see gas is the gas channeling prediction model. Through this prediction model, the time to see gas can be accurately predicted, and then the gas channeling can be predicted.

[0083] For example, Figure 4 The figure shows a comparison diagram of the actual gas-seeking time and the fitted gas-seeking time, where the X-axis represents the orthogonal test number and the Y-axis represents the gas-seeking time. Figure 4 It can be seen that the actual gas-onset time and the fitted gas-onset time are highly consistent, indicating that the fitted gas-onset time, that is, the predicted value of the gas-onset time, has a higher accuracy.

[0084] S250. For the development unit of the oil reservoir to be tested, determine the actual value of the influencing factor of the development unit.

[0085] In the embodiment of the present application, for the development unit of the oil reservoir to be tested, the actual values ​​of the influencing factors of the development unit are determined, that is, the actual values ​​of the formation inclination, oil layer thickness, permeability, injection-production well spacing, injection-production pressure difference and water-gas ratio of the development unit are determined.

[0086] In an optional specific implementation, the F development unit is a development unit in the middle and lower part of a medium-high permeability and thick oil reservoir developed by offshore CO2 injection, the injection pressure and the average reservoir pressure are above the miscible pressure, the original gas-oil ratio is 260m3 / m3, and the development mode is water-gas alternating drive. The method described in the above embodiment is used to predict gas channeling and determine the actual values ​​of the influencing factors of the development unit, as shown in Table 2 below.

[0087] Table 2F Development Unit Influencing Factors Parameters

[0088]

[0089] In another optional specific implementation, the G development unit is a development unit in the middle and high part of a medium-high permeability and thick oil reservoir developed by offshore CO2 injection, the injection pressure and the average reservoir pressure are above the miscible pressure, the original gas-oil ratio is 270m3 / m3, and the development mode is water-gas alternating flooding. The method described in the above embodiment is used to predict gas channeling and determine the actual values ​​of the influencing factors of the development unit, as shown in Table 3 below.

[0090] Table 3G Development Unit Influencing Factors Parameters

[0091]

[0092] S260. Input the actual values ​​of the influencing factors into the gas breakthrough prediction model to obtain the predicted gas appearance time of the development unit.

[0093] In the embodiment of the present application, the actual values ​​of the influencing factors are input into the gas channeling prediction model, and the predicted gas-seeking time of the development unit can be obtained by fitting the obtained formula.

[0094] In one optional specific implementation manner described above, the parameter values ​​in Table 2 are substituted into the fitting formula, and the predicted gas-bearing time of the F development unit is obtained to be 111 months. In another optional specific implementation manner described above, the parameter values ​​in Table 3 are substituted into the fitting formula, and the predicted gas-bearing time of the G development unit is obtained to be 96 months.

[0095] S270. Predict the occurrence time of gas breakthrough in the development unit based on the gas appearance time.

[0096] In the embodiment of the present application, after the predicted gas-seeking time of the development unit is obtained, the gas-seeking occurrence time of the development unit can be predicted based on the gas-seeking time.

[0097] The embodiment of the present application provides a method for predicting gas breakthrough in a gas-injected reservoir, which determines influencing factors that affect the time to see gas, and determines at least two groups of influencing factor test parameters based on the value range of the influencing factors; wherein the influencing factors include geological factors and development factors; a water-gas alternating drive well group model is established for each influencing factor test parameter, and an injection-production simulation is performed on the water-gas alternating drive well group model until the production gas-oil ratio of the water-gas alternating drive well group model reaches a preset value; based on the correspondence between the time obtained during the injection-production simulation and the production gas-oil ratio, and the correspondence between the predetermined gas phenomenon and the production gas-oil ratio, the gas breakthrough time when the gas volume is stable is determined; based on the influencing factor test parameters and the gas breakthrough time, a gas breakthrough prediction model is established to predict gas breakthrough of the reservoir based on the gas breakthrough prediction model; for the development unit of the reservoir to be tested, the actual value of the influencing factor of the development unit is determined; the actual value of the influencing factor is input into the gas breakthrough prediction model to obtain the predicted gas breakthrough time of the development unit; and the occurrence time of gas breakthrough of the development unit is predicted based on the gas breakthrough time. The technical solution of the embodiment of the present application establishes a corresponding relationship between influencing factors and gas appearance time through a water-gas alternating drive well group model, thereby achieving an accurate prediction of the gas appearance time, and further achieving an accurate prediction of gas breakthrough.

[0098] Embodiment 3

[0099] Figure 5This is a schematic diagram of the structure of a gas injection reservoir gas channeling prediction device provided in the third embodiment of the present application. The device can execute the gas injection reservoir gas channeling prediction method provided in any embodiment of the present application, and has the corresponding functional modules and beneficial effects of the execution method. Figure 5 As shown, the device comprises:

[0100] The influencing factor determination module 310 is used to determine the influencing factors that affect the gas appearance time, and determine at least two groups of influencing factor test parameters according to the value range of the influencing factors; wherein the influencing factors include geological factors and development factors;

[0101] The water-gas alternating drive well group model establishment module 320 is used to establish a water-gas alternating drive well group model according to the experimental parameters of each influencing factor, and perform injection and production simulation on the water-gas alternating drive well group model until the production gas-oil ratio of the water-gas alternating drive well group model reaches a preset value;

[0102] The gas appearance time determination module 330 is used to determine the gas appearance time when the gas phenomenon is gas breakthrough gas volume stability according to the correspondence between the time obtained in the injection-production simulation process and the production gas-oil ratio, and the correspondence between the predetermined gas phenomenon and the production gas-oil ratio;

[0103] The gas channeling prediction model building module 340 is used to build a gas channeling prediction model according to the influencing factor test parameters and the gas appearance time, so as to predict the gas channeling of the oil reservoir based on the gas channeling prediction model.

[0104] Optionally, the influencing factors include: at least one of formation dip, oil layer thickness, permeability, injection-production well spacing, injection-production pressure difference, and water-gas ratio; the influencing factor determination module 310 includes:

[0105] An influencing factor value determination unit, used to determine a preset number of values ​​from the value range of the influencing factor respectively;

[0106] The influencing factor test parameter determination unit is used to combine a preset number of values ​​of different influencing factors based on the orthogonal test design principle to obtain at least two groups of influencing factor test parameters.

[0107] Optionally, the water-gas alternating flooding well group model building module 320 includes:

[0108] An initial well group model building unit is used to build an initial well group model based on Petrel geological modeling software and tNavigator numerical simulation software;

[0109] A water-gas alternating flooding well group model establishment unit is used to input the influencing factor test parameters into the initial well group model to obtain the water-gas alternating flooding well group model corresponding to the influencing factor test parameters;

[0110] The injection-production simulation unit is used to perform injection-production simulation on the water-gas alternating drive well group model corresponding to the test parameters of each influencing factor, and obtain the production gas-oil ratio corresponding to different times, until the production gas-oil ratio of the water-gas alternating drive well group model reaches a preset value, and the injection-production simulation ends.

[0111] Optionally, the target production gas-oil ratio determination unit comprises:

[0112] A data acquisition unit is used to obtain the production gas-oil ratio and gas phenomena of developed units in the reservoir; wherein the gas phenomena include no gas breakthrough, stable gas breakthrough volume, gas breakthrough close to gas channeling, and obvious gas channeling;

[0113] The corresponding relationship establishing subunit is used to determine the production gas-oil ratio range corresponding to different gas phenomena and establish the corresponding relationship between the gas phenomena and the production gas-oil ratio.

[0114] Optionally, the gas release time determination module 330 includes:

[0115] A target production gas-oil ratio determination unit is used to determine the target production gas-oil ratio corresponding to the gas phenomenon being gas breakthrough and the gas volume being stable according to the predetermined corresponding relationship between the gas phenomenon and the production gas-oil ratio;

[0116] The gas appearance time determination unit is used to determine the time corresponding to the target production gas-oil ratio as the gas appearance time according to the corresponding relationship between the time obtained in the injection-production simulation process and the production gas-oil ratio.

[0117] Optionally, the gas channeling prediction model building module 340 includes:

[0118] The gas channeling prediction model building unit is used to perform nonlinear regression fitting on at least two groups of influencing factor test parameters and corresponding gas appearance time, and obtain a fitting formula that uses the influencing factors to represent the gas appearance time as a gas channeling prediction model.

[0119] Optionally, the device further comprises:

[0120] An influencing factor actual value determination module is used to determine the actual value of the influencing factor of the development unit for the development unit of the oil reservoir to be tested;

[0121] A gas-seeking time prediction module, used for inputting the actual values ​​of the influencing factors into the gas-seeking prediction model to obtain the predicted gas-seeking time of the development unit;

[0122] A gas channeling occurrence time prediction module is used to predict the gas channeling occurrence time of the development unit according to the gas appearance time.

[0123] A gas crossflow prediction device for a gas injection reservoir provided in an embodiment of the present application can execute a gas crossflow prediction method for a gas injection reservoir provided in any embodiment of the present application, and has functional modules and beneficial effects corresponding to the execution method.

[0124] Embodiment 4

[0125] Figure 6 A schematic diagram of an electronic device 10 that can be used to implement an embodiment of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or required herein.

[0126] like Figure 6 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0127] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0128] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a gas injection reservoir gas channeling prediction method.

[0129] In some embodiments, the gas crossover prediction method for gas injection reservoirs may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the gas crossover prediction method for gas injection reservoirs described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the gas crossover prediction method for gas injection reservoirs in any other appropriate manner (e.g., by means of firmware).

[0130] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0131] The computer programs for implementing the methods of the present application may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable gas injection reservoir gas channeling prediction device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0132] In the context of the present application, a computer readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device or equipment. A computer readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer readable storage medium may be a machine readable signal medium. A more specific example of a machine readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0133] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0134] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0135] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0136] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this application can be executed in parallel, sequentially or in different orders, as long as the information expected by the technical solution of this application can be achieved, and this document is not limited here.

[0137] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A method for predicting gas breakthrough in a gas injection reservoir, characterized in that: The method comprises: Determine the influencing factors that affect the gas appearance time, and determine at least two groups of influencing factor test parameters according to the value range of the influencing factors; wherein the influencing factors include geological factors and development factors; A water-gas alternating drive well group model is established according to the experimental parameters of each influencing factor, and injection-production simulation is performed on the water-gas alternating drive well group model until the production gas-oil ratio of the water-gas alternating drive well group model reaches a preset value; According to the corresponding relationship between the time obtained in the injection-production simulation process and the production gas-oil ratio, and the corresponding relationship between the predetermined gas phenomenon and the production gas-oil ratio, the gas phenomenon is determined to be the gas breakthrough gas volume stable gas appearance time; A gas channeling prediction model is established according to the influencing factor test parameters and the gas appearance time, so as to predict the gas channeling of the oil reservoir based on the gas channeling prediction model.

2. The method according to claim 1, characterized in that: The influencing factors include: at least one of formation dip, oil layer thickness, permeability, injection-production well spacing, injection-production pressure difference, and water-gas ratio; According to the value range of the influencing factors, at least two groups of influencing factor test parameters are determined, including: Determining a preset number of values ​​from the value range of the influencing factors respectively; Based on the orthogonal experimental design principle, a preset number of values ​​of different influencing factors are combined to obtain at least two groups of influencing factor experimental parameters.

3. The method according to claim 1, characterized in that A water-gas alternating drive well group model is established according to the experimental parameters of each influencing factor, and the injection-production simulation of the water-gas alternating drive well group model is carried out until the production gas-oil ratio of the water-gas alternating drive well group model reaches the preset value, including: Based on Petrel geological modeling software and tNavigator numerical simulation software, the initial well group model was established; Inputting the influencing factor test parameters into the initial well group model to obtain the water-gas alternating flooding well group model corresponding to the influencing factor test parameters; For the water-gas alternating drive well group model corresponding to the experimental parameters of each influencing factor, injection-production simulation is performed to obtain the production gas-oil ratio corresponding to different times, until the production gas-oil ratio of the water-gas alternating drive well group model reaches the preset value, and the injection-production simulation ends.

4. The method according to claim 1, characterized in that The process of determining the correspondence between the predetermined gas phenomenon and the produced gas-oil ratio includes: Obtain the production gas-oil ratio and gas phenomena of developed units in the reservoir; gas phenomena include no gas breakthrough, stable gas breakthrough volume, gas breakthrough close to gas channeling, and obvious gas channeling; Determine the production gas-oil ratio range corresponding to different gas phenomena and establish the corresponding relationship between gas phenomena and production gas-oil ratio.

5. The method according to claim 4, characterized in that According to the corresponding relationship between the time and the production gas-oil ratio obtained in the injection-production simulation process, and the corresponding relationship between the predetermined gas phenomenon and the production gas-oil ratio, the gas phenomenon is determined as the gas breakthrough gas volume stable gas appearance time, including: According to the predetermined corresponding relationship between the gas phenomenon and the production gas-oil ratio, the target production gas-oil ratio corresponding to the gas phenomenon being gas breakthrough and the gas volume being stable is determined; According to the corresponding relationship between the time obtained in the injection-production simulation process and the production gas-oil ratio, the time corresponding to the target production gas-oil ratio is determined as the gas appearance time.

6. The method according to claim 1, characterized in that According to the test parameters of the influencing factors and the gas appearance time, a gas channeling prediction model is established, including: Nonlinear regression fitting is performed on at least two groups of influencing factor test parameters and the corresponding gas appearance time to obtain a fitting formula that uses the influencing factors to represent the gas appearance time as a gas channeling prediction model.

7. The method according to claim 1, characterized in that The method further comprises: For a development unit of the oil reservoir to be tested, determining an actual value of an influencing factor of the development unit; Inputting the actual values ​​of the influencing factors into the gas breakthrough prediction model to obtain the predicted gas emergence time of the development unit; The occurrence time of gas breakthrough of the development unit is predicted according to the gas appearance time.

8. A gas breakthrough prediction device for gas injection reservoirs, characterized in that: The device comprises: An influencing factor determination module is used to determine the influencing factors that affect the gas appearance time, and determine at least two groups of influencing factor test parameters according to the value range of the influencing factors; wherein the influencing factors include geological factors and development factors; The water-gas alternating drive well group model establishment module is used to establish a water-gas alternating drive well group model according to the experimental parameters of various influencing factors, and to perform injection and production simulation on the water-gas alternating drive well group model until the production gas-oil ratio of the water-gas alternating drive well group model reaches a preset value; A gas appearance time determination module is used to determine the gas appearance time when the gas phenomenon is gas breakthrough gas volume stability according to the corresponding relationship between the time obtained in the injection and production simulation process and the production gas-oil ratio, and the corresponding relationship between the predetermined gas phenomenon and the production gas-oil ratio; The gas channeling prediction model establishment module is used to establish a gas channeling prediction model according to the influencing factor test parameters and the gas appearance time, so as to predict the gas channeling of the oil reservoir based on the gas channeling prediction model.

9. An electronic device, characterized in that: The device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the gas breakthrough prediction method for gas injection reservoirs according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the gas breakthrough prediction method for a gas injection reservoir according to any one of claims 1 to 7 when executed.

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