Design method, device and equipment of gas storage structure and medium

Abstract

The invention discloses a gas storage structure design method, device and equipment and a medium, and relates to the technical field of energy storage. The method comprises the following steps: firstly, acquiring target reference data of the gas storage structure, wherein the target reference data at least comprises one structural parameter influencing the stress change of the gas storage structure; and determining a theoretical stress value of the lining of the gas storage according to the target reference data. And performing data conversion on at least one structural parameter in the target reference data to generate a plurality of pieces of sample reference data. And finally, determining a failure probability value of the lining according to the theoretical stress value and the reference data of the plurality of samples. And based on the failure probability value, optimizing the structural parameters of the lining, so that the failure probability value is reduced until a preset effective condition is met. Therefore, the fluctuation change of the structural parameters of the gas storage can be considered, the lining structure is optimized with the purpose of reducing the failure probability value, and the safety of the designed gas storage structure is improved.

Description

Technical Field

[0001] The present invention relates to the field of energy storage technology, and in particular to a design method, device, equipment and medium for a gas storage structure. Background Art

[0002] Compressed Air Energy Storage (CAES) is a large-scale energy storage technology that uses electricity to compress air and store it in underground gas storage reservoirs. When needed, the compressed air is released to generate electricity through turbines. CAES technology is suitable for balancing grid loads and storing intermittent electricity generated by renewable energy sources such as wind and solar energy, thereby improving the stability of the grid.

[0003] The lining structure of underground gas storage is a key component of compressed air energy storage power stations, which directly affects the long-term stability of the gas storage. The current gas storage design method is usually determined based on the geological parameters collected for the construction of the gas storage, which does not take into account the changes in geological parameters, resulting in potential risks in the structural design of the gas storage. Summary of the invention

[0004] In view of the above problems, the present invention is proposed to provide a design method, device, equipment and medium for a gas storage structure that overcomes the above problems or at least partially solves the above problems.

[0005] Based on the first aspect of the present invention, a design method for a gas storage structure is provided, the design method comprising: Acquiring target reference data of the gas storage structure, wherein the target reference data includes at least one structural parameter that affects stress change of the gas storage structure; Determining a theoretical stress value of a lining of the gas storage reservoir according to the target reference data; Performing data conversion on at least one structural parameter in the target reference data to generate a plurality of sample reference data; Determining a failure probability value of the lining based on the theoretical stress value and a plurality of sample reference data, wherein the failure probability value represents the failure probability of the current lining in an operating state; Based on the failure probability value, the structural parameters of the lining are optimized to reduce the failure probability value until the preset validity conditions are met.

[0006] In an optional invention, the step of performing data conversion on at least one structural parameter in the target reference data to generate a plurality of sample reference data includes: Obtain parameter means and parameter variation coefficients associated with each structural parameter in the target reference data; According to the parameter mean and parameter variation coefficient, each structural parameter in the target reference data is converted to generate a parameter fluctuation sequence corresponding to each structural parameter; The structural parameter values ​​in different parameter fluctuation sequences are randomly combined to determine a plurality of sample reference data associated with the lining.

[0007] An optional invention content, the failure probability value of the lining is determined based on the theoretical stress value and multiple sample reference data, including: Determining predicted stress values ​​of the lining of the gas storage reservoir under various sample reference data; The failure probability value of the lining is determined based on the theoretical stress value and a plurality of predicted stress values.

[0008] An optional invention content, the determining of the failure probability value of the lining based on the theoretical stress value and a plurality of predicted stress values, comprises: Substituting the theoretical stress value and a plurality of predicted stress values ​​into the limit state function of the lining respectively, and calculating the limit state function value of the lining at different stress values; According to a plurality of limit state function values, a failure probability value of the lining is determined.

[0009] An optional invention content, the method further includes the step of creating the limit state function: If the lining is a steel lining, the limit state function associated with the lining is determined based on the yield strength and stress distribution data of the steel lining.

[0010] An optional invention content, the method further includes the step of creating the limit state function: If the lining is a concrete lining, the limit state function associated with the lining is determined based on the upper limit value of the crack width of the concrete lining and the actual crack width, wherein the actual crack width is calculated by the stress value.

[0011] An optional invention content, the determination of the failure probability value of the lining according to multiple limit state function values ​​includes: If the limit state function value is less than zero, the lining failure corresponding to the stress value is determined, and the reference data of the lining failure are quantitatively accumulated; The failure probability value of the lining is determined by the ratio of the number of reference data of lining failure to the total number of reference data.

[0012] An optional invention content, the target reference data includes at least the following two data types: geological data and lining mechanics data.

[0013] An optional invention content, determining the theoretical stress value of the lining of the gas storage reservoir based on the target reference data, includes: Determining a stress distribution sequence of the lining of the gas storage reservoir according to the target reference data, wherein the stress distribution sequence is used to characterize a set of stress values ​​on different regions of the lining; The stress distribution sequence is processed to obtain the theoretical stress value of the lining.

[0014] Based on the second aspect of the present invention, a design device for a gas storage structure is also provided, the design device comprising: A data acquisition module, used to acquire target reference data of the gas storage structure, wherein the target reference data includes at least one structural parameter that affects stress changes of the gas storage structure; A stress determination module, used to determine the theoretical stress value of the lining of the gas storage reservoir according to the target reference data; A sample generation module, used for performing data conversion on at least one structural parameter in the target reference data to generate a plurality of sample reference data; A failure probability determination module, used to determine the failure probability value of the lining according to the theoretical stress value and a plurality of sample reference data, wherein the failure probability value represents the failure probability of the current lining in the operating state; The structural optimization module is used to optimize the structural parameters of the lining based on the failure probability value so as to reduce the failure probability value until it meets the preset validity conditions.

[0015] In an optional invention, the sample generation module includes: The associated data acquisition submodule is used to obtain the parameter mean and parameter variation coefficient associated with each structural parameter in the target reference data; A data conversion submodule, for converting various structural parameters in the target reference data according to the parameter mean and parameter variation coefficient, and generating a parameter fluctuation sequence corresponding to each structural parameter; The sample generation submodule is used to randomly combine the structural parameter values ​​in different parameter fluctuation sequences to determine a plurality of sample reference data associated with the lining.

[0016] In an optional invention, the failure probability determination module includes: A predicted stress value determination submodule is used to determine the predicted stress value of the lining of the gas storage reservoir under each sample reference data; The failure probability determination submodule is used to determine the failure probability value of the lining based on the theoretical stress value and multiple predicted stress values.

[0017] In an optional invention, the failure probability determination submodule includes: A function value determination unit, used for respectively substituting the theoretical stress value and a plurality of predicted stress values ​​into the limit state function of the lining, and calculating the limit state function value of the lining at different stress values; The failure probability determination unit is used to determine the failure probability value of the lining according to a plurality of limit state function values.

[0018] According to the third aspect of the present invention, an electronic device is further provided, the electronic device comprising: one or more processors; Memory; One or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs are configured to execute the method described in any of the above inventive contents.

[0019] Based on the fourth aspect of the present invention, a computer-readable storage medium is further provided, storing a computer program used in conjunction with an electronic device, wherein the computer program can be executed by a processor to implement the method described in any of the above invention contents.

[0020] Compared with the prior art, the present invention includes first obtaining target reference data of the gas storage structure, wherein the target reference data includes at least one structural parameter that affects the stress change of the gas storage structure. Then, based on the target reference data, the theoretical stress value of the lining of the gas storage is determined. And data conversion is performed on at least one structural parameter in the target reference data to generate multiple sample reference data. Finally, based on the theoretical stress value and the multiple sample reference data, the failure probability value of the lining is determined. The failure probability value represents the failure probability of the current lining under the operating state, and based on the failure probability value, the structural parameters of the lining are optimized to reduce the failure probability value until the preset effective conditions are met. Thereby, the fluctuation of the structural parameters of the gas storage can be taken into account, and by considering the changing characteristics of the underground rock formations, the structure of the lining is optimized for the purpose of reducing the failure probability value, thereby improving the safety of the designed gas storage structure.

[0021] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] By reading the detailed description of the preferred embodiment below, various other advantages and benefits will become clear to those of ordinary skill in the art. The accompanying drawings are only used for the purpose of illustrating the preferred embodiment and are not considered to be limitations of the present invention. In addition, the same reference symbols are used to represent the same components throughout the accompanying drawings.

[0023] In the attached picture: Figure 1 It is a schematic diagram of the steps of a design method of a gas storage structure provided by an embodiment of the present invention; Figure 2 It is a schematic diagram of the steps of another method for designing a gas storage structure provided by an embodiment of the present invention; Figure 3 It is a structural block diagram of another gas storage structure design device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0024] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

[0025] Compressed Air Energy Storage (CAES) is a large-scale energy storage technology that uses electricity to compress air and store it in underground gas storage reservoirs. When needed, the compressed air is released to generate electricity through turbines. CAES technology is suitable for balancing grid loads and storing intermittent electricity generated by renewable energy sources such as wind and solar energy, thereby improving the stability of the grid.

[0026] The lining structure of underground gas storage is a key component of compressed air energy storage power stations. The lining is used to support the surrounding rock around the gas storage to prevent deformation or collapse of the surrounding rock, and directly affects the long-term stability of the gas storage. The current gas storage design method is usually determined based on the geological parameters collected for the construction of the gas storage, which does not take into account the changes in geological parameters, resulting in potential risks in the structural design of the gas storage.

[0027] Based on the above technical problems, an embodiment of the present invention is provided, and the embodiment of the present invention discloses a design method for a gas storage structure, the design method may include first obtaining target reference data of the gas storage structure, the target reference data including at least one structural parameter that affects the stress change of the gas storage structure. Then, based on the target reference data, the theoretical stress value of the lining of the gas storage is determined. And data conversion is performed on at least one structural parameter in the target reference data to generate multiple sample reference data. Finally, based on the theoretical stress value and the multiple sample reference data, the failure probability value of the lining is determined. And based on the failure probability value, the structural parameters of the lining are optimized to reduce the failure probability value until it meets the preset effective conditions. Thereby, the fluctuation of the structural parameters of the gas storage can be taken into account, and the structure of the lining can be optimized by considering the changing characteristics of the underground rock formation, thereby improving the safety of the designed gas storage structure.

[0028] Reference Figure 1 The embodiment of the present invention provides a method for designing a gas storage structure, which may include: S101. Acquire target reference data of a gas storage structure, wherein the target reference data includes at least one structural parameter that affects stress changes of the gas storage structure.

[0029] In the embodiment of the present invention, the target reference data can be understood as relevant data that affects the stress change of the gas storage structure, and the target reference data includes at least one structural parameter that affects the stress change of the gas storage structure, wherein the target reference data includes at least the following two data types: geological data and lining mechanics data. The geological data includes at least at least one of the following geological parameters: surrounding rock density, surrounding rock elastic modulus, surrounding rock cohesion, surrounding rock internal friction angle, and Poisson's ratio of surrounding rock. The lining mechanics data includes at least at least one of the following lining mechanics parameters: lining radius, lining thickness, and lining elastic modulus.

[0030] Those skilled in the art may select at least one structural parameter that affects the stress change of the gas storage structure as the target reference data according to actual design requirements.

[0031] S102: Determine a theoretical stress value of the lining of the gas storage reservoir based on the target reference data.

[0032] In the embodiment of the present invention, after the target reference data is obtained, analysis can be performed based on the target reference data to obtain the theoretical stress value of the lining of the gas storage reservoir under the target reference data. The lining is used to support the surrounding rock around the gas storage reservoir to prevent deformation or collapse of the surrounding rock. Therefore, the structural stability of the gas storage reservoir can be evaluated by the theoretical stress value of the lining.

[0033] S103: Perform data conversion on at least one structural parameter in the target reference data to generate a plurality of sample reference data.

[0034] In the embodiment of the present invention, considering that during the actual operation of the gas storage, at least one structural parameter in the target reference data is in a fluctuating state and is not a stable constant. Therefore, data conversion can be performed on at least one structural parameter in the target reference data to obtain a parameter fluctuation sequence corresponding to each structural parameter. The parameter fluctuation sequence can be understood as a set of parameter values ​​of the structural parameter that change reasonably during the actual operation of the gas storage.

[0035] According to the mutual combination of parameter values ​​in each parameter fluctuation sequence, multiple sample reference data can be generated. The sample reference data is generated with reference to the target reference data, and multiple sample parameter data can be combined to characterize the data distribution that may occur due to the normal fluctuation of the target reference data. In this way, it is possible to simulate the fluctuation of the above structural parameters (including geological parameters) during the actual operation of the gas storage. This can improve the safety and stability of the subsequent design of the gas storage structure and reduce the risk factor of the gas storage structure after it is put into use.

[0036] S104. Determine the failure probability value of the lining according to the theoretical stress value and a plurality of sample reference data.

[0037] S105. Based on the failure probability value, optimize the structural parameters of the lining to reduce the failure probability value until it meets the preset validity conditions.

[0038] In an embodiment of the present invention, a predicted stress value of the lining can be determined based on each sample reference data, whereby a combination of multiple predicted stress values ​​and theoretical stress values ​​can be used to characterize the stress fluctuation range to which the lining is subjected during the actual operation of the gas storage facility.

[0039] Therefore, the failure probability value of the lining can be determined based on the theoretical stress value and multiple predicted stress values, and the failure probability value is used to characterize the failure probability of the lining under operation. Among them, linings are generally divided into steel linings and concrete linings. Therefore, lining failure can be caused by the stress value borne by the lining exceeding the design stress value of the lining. Or, the stress value borne by the lining is too large, resulting in the lining crack width being too large and other situations that do not meet the normal working conditions of the lining.

[0040] Therefore, after determining the failure probability value of the lining, the structural parameters of the lining can be optimized according to the failure probability value. For example, the structural strength and thickness of the lining can be optimized. Thereby, the recalculated failure probability value decreases, until the decreased failure probability value meets the preset validity conditions. Among them, the preset validity conditions may include: the failure probability value is less than the first probability threshold, or the failure probability value is equal to the first probability threshold. For example, the first probability threshold can be 0.1, 0.05, etc., and those skilled in the art can determine the first probability threshold according to actual design requirements, and no excessive restrictions are made here. Thereby, the fluctuation of the structural parameters of the gas storage reservoir can be taken into account, and the uncertainty of the underground rock formation can be comprehensively considered, so as to optimize the structure of the lining and improve the safety of the designed gas storage reservoir structure.

[0041] Reference Figure 2 The embodiment of the present invention provides a method for designing a gas storage structure, which may include: S201. Acquire target reference data of a gas storage structure, wherein the target reference data includes at least one structural parameter that affects stress changes of the gas storage structure.

[0042] In the embodiment of the present invention, the target reference data can be understood as relevant data that affects the stress change of the gas storage structure, and the target reference data includes at least one structural parameter that affects the stress change of the gas storage structure, wherein the target reference data includes at least the following two data types: geological data and lining mechanics data. The geological data includes at least at least one of the following geological parameters: surrounding rock density, surrounding rock elastic modulus, surrounding rock cohesion, surrounding rock internal friction angle, and Poisson's ratio of surrounding rock. The lining mechanics data includes at least at least one of the following lining mechanics parameters: lining radius, lining thickness, and lining elastic modulus.

[0043] Those skilled in the art may select at least one structural parameter that affects the stress change of the gas storage structure as the target reference data according to actual design requirements.

[0044] S202: Determine a theoretical stress value of the lining of the gas storage reservoir based on the target reference data.

[0045] In the embodiment of the present invention, after the target reference data is obtained, analysis can be performed based on the target reference data to obtain the theoretical stress value of the lining of the gas storage reservoir under the target reference data. Thus, the structural stability of the gas storage reservoir can be evaluated by the theoretical stress value of the lining.

[0046] The lining is usually annular, and considering that the stress values ​​corresponding to different areas on the lining are different. The stress distribution sequence of the lining of the gas storage structure can be determined in advance based on the target reference data, and the stress distribution sequence refers to the set of stress values ​​corresponding to each area of ​​the lining. In some embodiments, the lining three-dimensional structure of the lining can be analyzed by finite element analysis based on the target reference data to obtain the stress distribution sequence. Among them, the finite element analysis can be performed with the help of finite element analysis software (such as FLAC2D) and the like.

[0047] In some embodiments, the finite element analysis step may include: constructing a finite element model of the gas storage reservoir lining, configuring mechanical parameters of the surrounding rock and lining materials, then setting boundary conditions and different stress conditions of the lining, and finally obtaining a stress distribution sequence of the lining under different stress conditions.

[0048] Then, the stress distribution sequence is processed to obtain the theoretical stress value of the lining. In particular, it is necessary to reserve a certain amount of redundancy when designing the lining structure to avoid the potential risk of insufficient support strength of the lining in actual operation. Therefore, data processing can include screening out the maximum stress value in the stress distribution sequence as the theoretical stress value. Thus, the weak area on the lining, that is, the area with the maximum stress value, is characterized by the theoretical stress value.

[0049] S203: Obtain parameter means and parameter variation coefficients associated with each structural parameter in the target reference data.

[0050] S204: transform each structural parameter in the target reference data according to the parameter mean and parameter variation coefficient, and generate a parameter fluctuation sequence corresponding to each structural parameter.

[0051] In an embodiment of the present invention, the parameter mean and parameter variation coefficient corresponding to each structural parameter can be statistically calculated based on the difference in the stress distribution values ​​in the above stress distribution sequence, or actual engineering experience. The probability distribution of the corresponding structure is thereby determined. For example, the elastic modulus of the concrete lining determines that its parameter variation coefficient is 0.85. The mean is 20 GPa. When the elastic modulus of the lining can be converted, normal distribution sampling can be performed based on the elastic modulus of the lining to generate a parameter fluctuation sequence corresponding to the elastic modulus of the lining. The sampling method may also include, but is not limited to, log-normal distribution sampling, etc. By analogy, a parameter fluctuation sequence corresponding to each structural parameter is generated.

[0052] Considering that during the actual operation of the gas storage, at least one structural parameter in the target reference data is in a fluctuating state and is not a stable constant. Therefore, data conversion can be performed on at least one structural parameter in the target reference data based on the parameter mean and parameter variation coefficient, so as to obtain a parameter fluctuation sequence corresponding to each structural parameter. The parameter fluctuation sequence can be understood as a set of parameter values ​​of the structural parameter that change reasonably during the actual operation of the gas storage.

[0053] S205. Randomly combine the structural parameter values ​​in different parameter fluctuation sequences to determine a plurality of sample reference data associated with the lining.

[0054] In an embodiment of the present invention, multiple sample reference data can be generated based on the mutual combination of the structural parameter values ​​in each parameter fluctuation sequence. The sample reference data is generated with reference to the target reference data, and multiple sample parameter data can be combined to characterize the data distribution that may occur due to the normal fluctuation of the target reference data. Thus, it is possible to simulate the fluctuation of the above structural parameters (including geological parameters) during the actual operation of the gas storage. This can improve the safety and stability of the subsequent design of the gas storage structure and reduce the risk factor of the gas storage structure after it is put into use.

[0055] S206. Determine the failure probability value of the lining based on the theoretical stress value and a plurality of sample reference data.

[0056] In an embodiment of the present invention, a predicted stress value of the lining can be determined based on each sample reference data, whereby a combination of multiple predicted stress values ​​and theoretical stress values ​​can be used to characterize the stress fluctuation range to which the lining is subjected during the actual operation of the gas storage facility.

[0057] Therefore, the failure probability value of the lining can be determined based on the theoretical stress value and multiple predicted stress values, and the failure probability value is used to characterize the failure probability of the lining under operation. Among them, linings are generally divided into steel linings and concrete linings. Therefore, lining failure can be caused by the stress value borne by the lining exceeding the design stress value of the lining. Or, the stress value borne by the lining is too large, resulting in the lining crack width being too large and other situations that do not meet the normal working conditions of the lining.

[0058] In some optional embodiments of the invention, step S206 may further include: Determine the predicted stress value of the lining of the gas storage reservoir under each sample reference data.

[0059] The failure probability value of the lining is determined based on the theoretical stress value and a plurality of predicted stress values.

[0060] In the embodiment of the present invention, the logic of determining the theoretical stress value of the lining according to the target reference data can determine the predicted stress value of the lining under each sample reference data.

[0061] Therefore, the failure probability value of the lining can be evaluated according to the preset limit state function. The limit state function is a function used to determine whether the lining has failed. In the actual construction process of the gas storage reservoir, steel lining and concrete lining are usually used at the same time, wherein the steel lining is mainly used to improve the air tightness of the gas storage reservoir, while the concrete lining is mainly used to transfer the internal pressure to the surrounding rock and serve as the construction foundation of the steel lining. Therefore, the stress value of the steel lining and the stress value of the concrete lining can be considered separately.

[0062] In some embodiments, if the lining is a steel lining, the stress value borne by the lining usually exceeds the design stress value of the lining (the yield strength of the lining), which can determine that the steel lining is broken and fails. Therefore, based on the yield strength and stress distribution data of the steel lining, the limit state function associated with the steel lining can be determined as follows: Formula (1) In the above formula (1), is the limit state function value associated with steel; is the yield strength of the steel lining; is the stress value of the lining (theoretical stress value or predicted stress value); Xn is the nth reference data.

[0063] Therefore, the theoretical stress value and multiple predicted stress values ​​can be respectively substituted into the limit state function of the lining to calculate the limit state function value of the lining under different reference data (under different stress values).

[0064] In other embodiments, if the lining is a concrete lining, the stress value (corresponding to the actual crack width) borne by the lining usually exceeds the design stress value of the lining (the upper limit of the crack width of the lining), then it can be determined that the concrete lining crack is too large and fails. Therefore, based on the upper limit of the crack width of the concrete lining and the stress distribution data, the limit state function associated with the concrete lining can be determined as follows: Formula (2) In the above formula (2), is the limit state function value associated with the concrete lining; is the upper limit of crack width of concrete lining; is the actual crack width corresponding to the stress value (theoretical stress value or predicted stress value) of the lining; Xn is the nth reference data. The actual crack width of the concrete lining can be calculated based on the stress value borne by the lining. For example, the actual crack width of the concrete lining can be calculated based on the Coulomb strength theory.

[0065] Therefore, the theoretical stress value and multiple predicted stress values ​​can be respectively substituted into the limit state function of the lining to calculate the limit state function value of the lining under different reference data (different stress values).

[0066] According to the limit state function values ​​corresponding to different reference data, the failure probability value of the lining is determined. When the limit state function value is zero, it can be determined that the lining is at the critical point of failure. Therefore, it can be judged whether the limit state function value corresponding to each reference data (including target reference data and sample reference data) is less than zero.

[0067] If the limit state function value is greater than zero or equal to zero, it is determined that the lining of the corresponding stress value is not maintained effectively. If the limit state function value is less than zero, the lining of the corresponding stress value is determined to be failed, and the number of reference data of lining failure is accumulated. For example, when it is determined that the limit state function value corresponding to a reference data is less than zero, the number of failed linings is added by one, and so on, to determine the number of reference data of lining failure. The ratio of the number of reference data of lining failure to the total number of reference data is used to determine the failure probability value of the lining. In other words, the failure probability value can be calculated according to the following formula (3): Formula (3) In the above formula (3), is the failure probability value of the lining; n is the total number of reference data; e is the number of reference data of lining failure.

[0068] S207. Based on the failure probability value, optimize the structural parameters of the lining to reduce the failure probability value until it meets the preset validity conditions.

[0069] In an embodiment of the present invention, after determining the failure probability value of the lining, the structural parameters of the lining can be optimized according to the failure probability value. For example, the structural strength and thickness of the lining can be optimized. Thereby, the failure probability value can be reduced until the reduced failure probability value meets the preset validity conditions. Among them, the preset validity conditions may include: the failure probability value is less than the first probability threshold, or the failure probability value is equal to the first probability threshold. For example, the first probability threshold can be 0.00001 or the like. Those skilled in the art can determine the first probability threshold according to industry standards, design specifications or actual project requirements, and no excessive restrictions are made here. Thereby, the fluctuation of the structural parameters of the gas storage reservoir can be taken into account, and the uncertainty of the underground rock formation can be comprehensively considered, so as to optimize the structure of the lining and improve the safety of the designed gas storage reservoir structure.

[0070] In some embodiments, when it is necessary to optimize the structural parameters of the lining, the parameters to be optimized can be predetermined. For the lining, the parameters to be optimized may include the thickness of the lining, the yield strength of the steel lining, and the upper limit of the crack width of the concrete lining. Therefore, the thickness and yield strength of the lining, or the thickness and the upper limit of the crack width of the lining can be used as the optimization target. For example, the yield strength or the upper limit of the crack width can be increased by increasing the thickness of the lining by a certain amplitude. And according to the new structural parameters, the failure probability value is recalculated according to the description of the above steps S201-S206. And determine whether the recalculated failure probability value meets the preset validity conditions, and so on, to complete the structural optimization of the lining, thereby improving the operating safety factor of the actually constructed gas storage structure by reducing the failure probability of the lining during operation.

[0071] In summary, an embodiment of the present invention discloses a method for designing a gas storage structure, which may include first obtaining target reference data of the gas storage structure, wherein the target reference data includes at least one structural parameter that affects the stress change of the gas storage structure. Then, based on the target reference data, the theoretical stress value of the lining of the gas storage is determined. And data conversion is performed on at least one structural parameter in the target reference data to generate multiple sample reference data. Finally, based on the theoretical stress value and the multiple sample reference data, the failure probability value of the lining is determined. And based on the failure probability value, the structural parameters of the lining are optimized to reduce the failure probability value until it meets the preset effective conditions. Thereby, the fluctuation of the structural parameters of the gas storage can be taken into account, and the structure of the lining can be optimized by considering the changing characteristics of the underground rock formation, thereby improving the safety of the designed gas storage structure.

[0072] It should be noted that, for the method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of the present application are not limited by the described order of actions, because according to the embodiments of the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present application.

[0073] Reference Figure 3 , shows a design device for a gas storage structure provided by an embodiment of the present invention, the device may include: The data acquisition module 301 is used to acquire target reference data of the gas storage structure, wherein the target reference data includes at least one structural parameter that affects the stress change of the gas storage structure.

[0074] The stress determination module 302 is used to determine the theoretical stress value of the lining of the gas storage reservoir according to the target reference data.

[0075] The sample generation module 303 is used to perform data conversion on at least one structural parameter in the target reference data to generate multiple sample reference data.

[0076] The failure probability determination module 304 is used to determine the failure probability value of the lining according to the theoretical stress value and a plurality of sample reference data.

[0077] The structural optimization module 305 is used to optimize the structural parameters of the lining based on the failure probability value to reduce the failure probability value until it meets the preset validity conditions.

[0078] In an optional embodiment of the invention, the sample generation module 303 includes: The associated data acquisition submodule is used to obtain the parameter mean and parameter variation coefficient associated with each structural parameter in the target reference data.

[0079] The data conversion submodule is used to convert various structural parameters in the target reference data according to the parameter mean and parameter variation coefficient, and generate parameter fluctuation sequences corresponding to each structural parameter.

[0080] The sample generation submodule is used to randomly combine the structural parameter values ​​in different parameter fluctuation sequences to determine a plurality of sample reference data associated with the lining.

[0081] In an optional embodiment of the invention, the failure probability determination module 304 may include: The predicted stress value determination submodule is used to determine the predicted stress value of the lining of the gas storage reservoir under each sample reference data.

[0082] The failure probability determination submodule is used to determine the failure probability value of the lining based on the theoretical stress value and multiple predicted stress values.

[0083] In an optional embodiment of the invention, the failure probability determination submodule may include: The function value determination unit is used to substitute the theoretical stress value and multiple predicted stress values ​​into the limit state function of the lining respectively, and calculate the limit state function value of the lining under different stress values.

[0084] The failure probability determination unit is used to determine the failure probability value of the lining according to a plurality of limit state function values.

[0085] In an optional embodiment of the invention, the device may further include a function creation module for creating the limit state function, wherein the function creation module is used to: If the lining is a steel lining, the limit state function associated with the lining is determined based on the yield strength and stress distribution data of the steel lining.

[0086] In an optional embodiment of the invention, the function creation module is further used to: If the lining is a concrete lining, the limit state function associated with the lining is determined based on the upper limit value of the crack width of the concrete lining and the actual crack width, wherein the actual crack width is calculated by the stress value.

[0087] In an optional embodiment of the invention, the failure probability determination unit may also be used to: If the limit state function value is less than zero, the lining failure corresponding to the stress value is determined, and the reference data of the lining failure are quantitatively accumulated.

[0088] The failure probability value of the lining is determined by the ratio of the number of reference data of lining failure to the total number of reference data.

[0089] In an optional embodiment of the invention, the target reference data includes at least the following two data types: geological data and lining mechanics data.

[0090] In an optional embodiment of the invention, the stress determination module may include: A sequence determination module is used to determine the stress distribution sequence of the lining of the gas storage reservoir based on the target reference data, wherein the stress distribution sequence is used to characterize a set of stress values ​​on different areas of the lining.

[0091] The stress determination submodule is used to perform data processing on the stress distribution sequence to obtain the theoretical stress value of the lining.

[0092] In summary, an embodiment of the present invention discloses a design device for a gas storage structure, and the design device may include first obtaining target reference data of the gas storage structure, wherein the target reference data includes at least one structural parameter that affects the stress change of the gas storage structure. Then, based on the target reference data, the theoretical stress value of the lining of the gas storage is determined. And data conversion is performed on at least one structural parameter in the target reference data to generate multiple sample reference data. Finally, based on the theoretical stress value and the multiple sample reference data, the failure probability value of the lining is determined. And based on the failure probability value, the structural parameters of the lining are optimized to reduce the failure probability value until it meets the preset effective conditions. Thereby, the fluctuation of the structural parameters of the gas storage can be taken into account, and the structure of the lining can be optimized by considering the changing characteristics of the underground rock formation, thereby improving the safety of the designed gas storage structure.

[0093] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0094] It is easy for a person skilled in the art to think that any combination of the above embodiments is feasible, so any combination of the above embodiments is an implementation scheme of the present invention. However, due to space limitations, this specification will not describe them in detail here.

[0095] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0096] Similarly, it should be understood that in order to streamline the present invention and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting the intention that the claimed invention requires more features than those expressly recited in each claim. Rather, as reflected in the claims, inventive aspects lie in less than all of the features of the individual embodiments previously disclosed. Therefore, the claims that follow the detailed description are hereby expressly incorporated into the detailed description, with each claim itself serving as a separate embodiment of the present invention.

[0097] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and further may be divided into a plurality of submodules or subunits or subcomponents. All features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device so disclosed may be combined in any combination, except that at least some of such features and / or processes or units are mutually exclusive. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature that provides the same, equivalent or similar purpose.

[0098] An electronic device, comprising: one or more processors; Memory; One or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs are configured to execute the method described in the above embodiment.

[0099] A computer-readable storage medium stores a computer program used in combination with an electronic device, wherein the computer program can be executed by a processor to implement the method described in the above embodiment.

[0100] It should be understood by those skilled in the art that the embodiments of the present invention can be provided as methods, devices, or computer program products. Therefore, the embodiments of the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present invention can take 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.) containing computer-usable program codes.

[0101] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks 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 terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal 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 1A device that provides the functions specified in a block or multiple blocks.

[0102] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including 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.

[0103] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement 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.

[0104] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional 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 that fall within the scope of the embodiments of the present invention.

[0105] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0106] The above is a detailed introduction to a design method for a gas storage structure and a design device for a gas storage structure provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for designing a gas storage structure, characterized in that: The design method comprises: Acquiring target reference data of the gas storage structure, wherein the target reference data includes at least one structural parameter that affects stress change of the gas storage structure; Determining a theoretical stress value of a lining of the gas storage reservoir according to the target reference data; Performing data conversion on at least one structural parameter in the target reference data to generate a plurality of sample reference data; Determining a failure probability value of the lining based on the theoretical stress value and a plurality of sample reference data, wherein the failure probability value represents the failure probability of the current lining in an operating state; Based on the failure probability value, the structural parameters of the lining are optimized to reduce the failure probability value until the preset validity conditions are met.

2. The design method of the gas storage structure according to claim 1, characterized in that: The step of performing data conversion on at least one structural parameter in the target reference data to generate a plurality of sample reference data includes: Obtain parameter means and parameter variation coefficients associated with each structural parameter in the target reference data; According to the parameter mean and parameter variation coefficient, each structural parameter in the target reference data is converted to generate a parameter fluctuation sequence corresponding to each structural parameter; The structural parameter values ​​in different parameter fluctuation sequences are randomly combined to determine a plurality of sample reference data associated with the lining.

3. The design method of the gas storage structure according to claim 2 is characterized in that: Determining the failure probability value of the lining based on the theoretical stress value and a plurality of sample reference data includes: Determining predicted stress values ​​of the lining of the gas storage reservoir under various sample reference data; The failure probability value of the lining is determined based on the theoretical stress value and a plurality of predicted stress values.

4. The design method of the gas storage structure according to claim 3 is characterized in that: Determining the failure probability value of the lining based on the theoretical stress value and the plurality of predicted stress values ​​includes: Substituting the theoretical stress value and a plurality of predicted stress values ​​into the limit state function of the lining respectively, and calculating the limit state function value of the lining at different stress values; According to a plurality of limit state function values, a failure probability value of the lining is determined.

5. The method for designing a gas storage structure according to claim 4, characterized in that: The method further comprises the step of creating the limit state function: If the lining is a steel lining, the limit state function associated with the lining is determined based on the yield strength and stress distribution data of the steel lining.

6. The design method of the gas storage structure according to claim 4, characterized in that: The method further comprises the step of creating the limit state function: If the lining is a concrete lining, the limit state function associated with the lining is determined based on the upper limit value of the crack width of the concrete lining and the actual crack width, wherein the actual crack width is calculated by the stress value.

7. The method for designing a gas storage structure according to claim 5 or 6, characterized in that: The method of determining the failure probability value of the lining according to multiple limit state function values ​​includes: If the limit state function value is less than zero, the lining failure corresponding to the stress value is determined, and the reference data of the lining failure are quantitatively accumulated; The failure probability value of the lining is determined by the ratio of the number of reference data of lining failure to the total number of reference data.

8. The method for designing a gas storage structure according to claim 1, characterized in that: The target reference data includes at least the following two data types: geological data and lining mechanics data.

9. The method for designing a gas storage structure according to claim 8, characterized in that: Determining the theoretical stress value of the lining of the gas storage reservoir based on the target reference data includes: Determining a stress distribution sequence of the lining of the gas storage reservoir according to the target reference data, wherein the stress distribution sequence is used to characterize a set of stress values ​​on different regions of the lining; The stress distribution sequence is processed to obtain the theoretical stress value of the lining.

10. A design device for a gas storage structure, characterized in that: The device comprises: A data acquisition module, used to acquire target reference data of the gas storage structure, wherein the target reference data includes at least one structural parameter that affects stress changes of the gas storage structure; A stress determination module, used to determine the theoretical stress value of the lining of the gas storage reservoir according to the target reference data; A sample generation module, used for performing data conversion on at least one structural parameter in the target reference data to generate a plurality of sample reference data; A failure probability determination module, used to determine the failure probability value of the lining according to the theoretical stress value and a plurality of sample reference data, wherein the failure probability value represents the failure probability of the current lining in the operating state; The structural optimization module is used to optimize the structural parameters of the lining based on the failure probability value so as to reduce the failure probability value until it meets the preset validity conditions.

11. The design device for a gas storage structure according to claim 10, characterized in that: The sample generation module comprises: The associated data acquisition submodule is used to obtain the parameter mean and parameter variation coefficient associated with each structural parameter in the target reference data; A data conversion submodule, for converting various structural parameters in the target reference data according to the parameter mean and parameter variation coefficient, and generating a parameter fluctuation sequence corresponding to each structural parameter; The sample generation submodule is used to randomly combine the structural parameter values ​​in different parameter fluctuation sequences to determine a plurality of sample reference data associated with the lining.

12. The design device for a gas storage structure according to claim 10, characterized in that: The failure probability determination module includes: A predicted stress value determination submodule is used to determine the predicted stress value of the lining of the gas storage reservoir under each sample reference data; The failure probability determination submodule is used to determine the failure probability value of the lining based on the theoretical stress value and multiple predicted stress values.

13. The design device for a gas storage structure according to claim 12, characterized in that: The failure probability determination submodule includes: A function value determination unit, used for respectively substituting the theoretical stress value and a plurality of predicted stress values ​​into the limit state function of the lining, and calculating the limit state function value of the lining at different stress values; The failure probability determination unit is used to determine the failure probability value of the lining according to a plurality of limit state function values.

14. An electronic device, characterized in that: include: one or more processors; Memory; One or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs are configured to execute the method according to any one of claims 1 to 9.

15. A computer-readable storage medium storing a computer program for use in conjunction with an electronic device, characterized in that: The computer program can be executed by a processor to implement the method according to any one of claims 1 to 9.

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