Seismic Monitoring Method, Device, Equipment and Medium Based on Structural Parameters of Gas Storage Reservoir

Abstract

The embodiments of the present invention provide a seismic monitoring method, device, equipment and medium based on the structural parameters of a gas storage reservoir, which relate to the safety analysis technology based on the structural parameters of the gas storage reservoir and the field of seismic risk assessment. The method includes: collecting seismic geological data, engineering geological and structural design information of the gas storage reservoir construction area, generating multiple groups of random ground motion time history records as input conditions, establishing a simulation model and performing dynamic response calculations to obtain structural mechanical response information; using a risk quantitative evaluation model to obtain the seismic risk cost, creating corresponding risk control measures, and obtaining a disposal method library under different intensity ground motion conditions; constructing a seismic risk assessment model to determine risk control measures; during the operation stage of the gas storage reservoir, according to the three-dimensional geological model obtained based on the structural parameters of the gas storage reservoir, real-time monitoring the operation state of the gas storage reservoir, timely discovering and handling potential seismic risks, and ensuring the long-term safe operation of the gas storage reservoir.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of seismic monitoring, and in particular, to a seismic monitoring method, device, equipment and medium based on the structural parameters of a gas storage reservoir. Background Art

[0002] The northwest region of China is rich in new energy resources such as wind and solar energy, which account for a significant proportion in the country and is an important base for the development of new energy. The large-scale grid connection of new energy power generation has an urgent demand for large-capacity energy storage power stations. However, the northwest region lacks water resources, and compressed air energy storage power stations are the most promising large-capacity energy storage methods in the northwest region. Considering the geological conditions in the northwest region, it is suitable to build compressed air energy storage power stations with supporting artificial underground gas storage reservoirs. At the same time, the northwest region is located on a strong seismic belt in China and belongs to a region with a high seismic intensity. Its seismic activity history and geological structure characteristics determine that the region has a relatively high seismic risk. The artificial underground gas storage reservoir is a newly excavated building. At the same time, the sealing method of the artificial underground gas storage reservoir is developing towards a flexible sealing system, and the flexible sealing system has advantages such as low cost and easy repair. However, the flexible sealing system has higher requirements for structural stability and airtightness, and its structural stability and airtightness determine the long-term operation safety of the compressed air energy storage power station. It is necessary to form a seismic safety risk assessment method for the artificial underground gas storage reservoir to provide support for the risk management plan.

[0003] In the prior art, the prediction of seismic hazards mainly focuses on determining the seismic source, calculating the relationship between the seismic amplitude and frequency of the seismic source, calculating the relationship between the ground peak acceleration of the underground gas storage reservoir and the seismic frequency, etc. However, there is no feasible and effective implementation method for the quantitative evaluation of post-disaster risks and the formulation of corresponding risk management plans after an earthquake actually occurs. Moreover, when an earthquake occurs, it is also impossible to quickly evaluate the risk cost of the disaster according to the earthquake scale in the first time and make corresponding post-earthquake disposal responses. Summary of the Invention

[0004] Based on the above technical problems, the embodiments of the present invention provide a seismic monitoring method, device, equipment and medium based on the structural parameters of a gas storage reservoir, aiming to evaluate the seismic risk cost of the gas storage reservoir through a seismic risk assessment model and output corresponding risk control measures.

[0005] In the first aspect of the embodiments of the present invention, a seismic monitoring method based on the structural parameters of a gas storage reservoir is provided, and the method includes:

[0006] Collect seismic geological data, engineering geological and structural design information of the gas storage construction area. The seismic geological data includes historical regional seismic records and ground motion parameters of the gas storage construction area. The engineering geological and structural design information includes the distribution characteristics of rock and soil layers in the area, groundwater conditions, in-situ stress fields, physical and mechanical parameters of rock and soil masses, gas storage shape design parameters, and gas storage structure parameters.

[0007] Generate multiple sets of random ground motion time history records under different exceedance probabilities based on the historical regional seismic records and ground motion parameters of the gas storage construction area.

[0008] Establish a three-dimensional numerical simulation model based on the seismic geological data and the engineering geological and structural design information.

[0009] Use the generated multiple sets of random ground motion time history records under different exceedance probabilities as input conditions to perform dynamic response calculations of the three-dimensional numerical simulation model, and obtain damage degree information. The damage degree information includes the damage range of the sealing layer and the damage range of the lining.

[0010] Adopt a risk quantitative evaluation model to obtain the seismic risk cost under the input conditions according to the exceedance probability in the input conditions and the damage degree information under the seismic conditions.

[0011] Based on the seismic risk cost, create corresponding risk control measures to obtain a disposal method library under different ground motion conditions.

[0012] Construct a seismic risk assessment model according to the multiple sets of random ground motion time history records under different exceedance probabilities and the corresponding seismic risk costs, and determine the risk control measure plans matching different seismic risk costs in the disposal method library.

[0013] During the current operation of the gas storage, monitor the ground motion and the stress level of the gas storage structure in the area where the current gas storage is located.

[0014] When an earthquake occurs, quickly evaluate the seismic risk cost of the current gas storage through the seismic risk assessment model and output the corresponding risk control measures.

[0015] Optionally, the step of using the generated multiple sets of random ground motion time history records under different exceedance probabilities as input conditions to perform dynamic response calculations of the three-dimensional numerical simulation model to obtain damage degree information includes:

[0016] Based on the generated multiple sets of random ground motion time history records under different exceedance probabilities as input conditions, perform dynamic response calculations of the three-dimensional numerical simulation model, and record the stresses of the sealing layer and the lining under each set of the input conditions.

[0017] Among them, the allowable stress of the sealing layer material is σ Rs , and the allowable stress of the lining material is σ Rc . Among the calculation results of each group, the total volume V Rs of the area where the stress of the sealing layer is greater than the allowable stress σ s is determined as the damage range of the sealing layer; the total volume V Rc of the area where the lining stress is greater than σ c is determined as the damage range of the lining.

[0018] Optionally, the seismic risk cost includes: repair cost and production reduction loss; using a risk quantitative evaluation model, according to the exceedance probability in the input conditions and the damage degree information under the seismic conditions, the seismic risk cost under the input conditions is obtained, including:

[0019] According to the damage range of the sealing layer and the damage range of the lining, the repair cost C repair is determined, and the repair cost C repair is used to reflect the engineering quantity of the repair project;

[0020] According to the number of days of production suspension and the daily benefit of the energy storage power station, the production reduction loss C loss is determined, and the number of days of production suspension is related to the engineering quantity of the repair project;

[0021] P f × (C repair + C loss ) is determined as the seismic risk cost, where P f is the occurrence probability of the seismic intensity at this site.

[0022] Optionally, according to the random seismic ground motion time history records and the corresponding seismic risk costs under multiple different exceedance probabilities, a seismic risk assessment model is constructed, including:

[0023] Using the random seismic ground motion time history records and the corresponding seismic risk costs under multiple different exceedance probabilities as training samples, the machine learning model is trained to obtain the seismic risk assessment model.

[0024] Optionally, based on the historical regional seismic records and seismic motion parameters of the gas storage reservoir construction area, multiple groups of random seismic ground motion time history records with different exceedance probabilities are generated, including:

[0025] Based on the historical regional seismic records of the gas storage reservoir construction area, the upper and lower limits of the seismic motion intensity PGA are determined;

[0026] For the target PGA, based on the Monte Carlo simulation method, with PGA as the target value, the multiple groups of random seismic ground motion time history records with different exceedance probabilities are generated.

[0027] Optionally, based on the seismic risk cost, corresponding risk control measures are created to obtain a disposal method library under different intensities of ground motion, including:

[0028] Based on the seismic risk cost, risk control measures with corresponding engineering quantities are created, and the risk control measures include: strengthening the structure, sealing and repairing, and increasing emergency reserves;

[0029] The risk control measures created for different seismic risk costs form a disposal method library under different intensities of ground motion.

[0030] A second aspect of the embodiment of the present invention provides a seismic monitoring device based on the structural parameters of a gas storage reservoir. The device includes:

[0031] A data collection module for collecting seismic geological data, engineering geology, and structural design information of the gas storage reservoir construction area. The seismic geological data includes: historical regional seismic records and ground motion parameters of the gas storage reservoir construction area, and the engineering geology and structural design information includes: distribution characteristics of rock and soil layers in the area, groundwater conditions, in-situ stress field, physical and mechanical parameters of rock and soil masses, gas storage reservoir body design parameters, and gas storage reservoir structure parameters;

[0032] An input condition generation module for generating multiple groups of random ground motion time history records under different exceedance probabilities based on the historical regional seismic records and ground motion parameters of the gas storage reservoir construction area;

[0033] A simulation model establishment module for establishing a three-dimensional numerical simulation model based on the seismic geological data and the engineering geology and structural design information;

[0034] A damage degree determination module for using the generated multiple groups of random ground motion time history records under different exceedance probabilities as input conditions to perform dynamic response calculations of the three-dimensional numerical simulation model to obtain damage degree information, and the damage degree information includes: damage range of the sealing layer and damage range of the lining;

[0035] A risk quantitative evaluation module for obtaining the seismic risk cost under the input conditions according to the exceedance probability in the input conditions and the damage degree information under the seismic conditions;

[0036] A disposal method library establishment module for creating corresponding risk control measures based on the seismic risk cost to obtain a disposal method library under different intensities of ground motion;

[0037] A seismic risk assessment module for constructing a seismic risk assessment model according to multiple groups of random ground motion time history records under different exceedance probabilities and the corresponding seismic risk costs, and determining a risk control measure plan matching different seismic risk costs in the disposal method library;

[0038] A monitoring module, which is used to monitor the ground motion and the stress level of the gas storage structure in the area where the current gas storage is located during the operation of the current gas storage.

[0039] A risk control measure output module, which is used to evaluate the seismic risk cost of the current gas storage through a seismic risk assessment model and output corresponding risk control measures.

[0040] Optionally, using the generated random ground motion time history records under multiple different exceedance probabilities as input conditions, performing dynamic response calculations on a three-dimensional numerical simulation model to obtain damage degree information.

[0041] The damage degree determination module includes:

[0042] A dynamic response calculation sub-module, which is used to perform dynamic response calculations on a three-dimensional numerical simulation model based on the generated random ground motion time history records under multiple different exceedance probabilities as input conditions, and record the stresses of the sealing layer and the lining under each group of the input conditions.

[0043] A damage range determination sub-module, which is used to determine the total volume V of the area where the stress of the sealing layer is greater than the allowable stress σ Rs in the calculation results of each group as the damage range of the sealing layer; and determine the total volume V of the area where the stress of the lining is greater than σ s as the damage range of the lining. Rc c

[0044] Optionally, the seismic risk cost includes: repair cost and production reduction loss; using a risk quantitative evaluation model, according to the exceedance probability in the input conditions and the damage degree information under the seismic conditions, obtaining the seismic risk cost under the input conditions.

[0045] The risk quantitative evaluation module includes:

[0046] A repair cost determination sub-module, which is used to determine the repair cost C repair according to the damage range of the sealing layer and the damage range of the lining, and the repair cost C repair is used to reflect the engineering quantity of the repair project.

[0047] A production reduction loss determination sub-module, which is used to determine the production reduction loss C loss according to the number of days of production suspension and the daily benefit of the energy storage power station, and the number of days of production suspension is related to the engineering quantity of the repair project.

[0048] A risk cost determination sub-module, which multiplies P f × (C repair + C loss ​​) is determined as the seismic risk cost, where P f is the occurrence probability of the seismic intensity at the site.

[0049] Optionally, based on the multi-group of random ground motion time history records under different exceedance probabilities and the corresponding seismic risk costs, a seismic risk assessment model is constructed;

[0050] The seismic risk assessment module includes:

[0051] An assessment model training sub-module, which is used to use the multi-group of random ground motion time history records under different exceedance probabilities and the corresponding seismic risk costs as training samples to train a machine learning model to obtain the seismic risk assessment model.

[0052] Optionally, based on the historical regional seismic records and ground motion parameters in the gas storage reservoir construction area, multi-group of random ground motion time history records under different exceedance probabilities are generated;

[0053] Optionally, the input condition generation module includes:

[0054] A historical record confirmation sub-module, which is used to determine the upper and lower limits of the ground motion intensity PGA based on the historical regional seismic records in the gas storage reservoir construction area;

[0055] A model generation sub-module, which is used for the target PGA, based on the Monte Carlo simulation method, with PGA as the target value, to generate the multi-group of random ground motion time history records under different exceedance probabilities.

[0056] Optionally, based on the seismic risk cost, corresponding risk control measures are created to obtain a disposal method library under different ground motion conditions;

[0057] The disposal method library establishment module includes:

[0058] A risk control measure determination sub-module, which is used to create risk control measures with corresponding engineering quantities based on the seismic risk cost, and the risk control measures include: strengthening the structure, sealing and repairing, and increasing emergency reserves;

[0059] A method library formation sub-module, which is used to form a disposal method library under different ground motion conditions for the risk control measures created for different seismic risk costs.

[0060] A third aspect of the embodiments of the present invention provides an electronic device, which includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the computer program is executed by the processor, it implements the seismic monitoring method based on the gas storage reservoir structure parameters as described in the first aspect of the embodiments of the present invention.

[0061] In the fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided. A computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the seismic monitoring method based on the structure parameters of the gas storage reservoir in the first aspect of the embodiments of the present invention is implemented.

[0062] Through the seismic monitoring method based on the structure parameters of the gas storage reservoir in the embodiments of the present invention, seismic geological data, engineering geological and structural design information of the gas storage reservoir construction area are collected. The seismic geological data includes: historical regional seismic records and ground motion parameters of the gas storage reservoir construction area. The engineering geological and structural design information includes: distribution characteristics of rock and soil layers in the area, groundwater conditions, in-situ stress field, physical and mechanical parameters of rock and soil masses, gas storage reservoir body design parameters, and gas storage reservoir structure parameters. Based on the historical regional seismic records and ground motion parameters of the gas storage reservoir construction area, multiple groups of random ground motion time history records under different exceedance probabilities are generated. Based on the seismic geological data and the engineering geological and structural design information, a three-dimensional numerical simulation model is established. Taking the multiple groups of random ground motion time history records generated under different exceedance probabilities as input conditions, dynamic response calculations of the three-dimensional numerical simulation model are carried out to obtain damage degree information, and the damage degree information includes: damage range of the sealing layer and damage range of the lining. Using a risk quantitative evaluation model, according to the exceedance probability in the input conditions and the damage degree information under the seismic conditions, the seismic risk cost under the input conditions is obtained. Based on the seismic risk cost, corresponding risk control measures are created to obtain a disposal method library under different ground motion conditions. According to the multiple groups of random ground motion time history records under different exceedance probabilities and the corresponding seismic risk costs, a seismic risk assessment model is constructed, and a risk control measure plan matching different seismic risk costs is determined in the disposal method library. During the current operation of the gas storage reservoir, the ground motion and the stress level of the gas storage reservoir structure in the area where the current gas storage reservoir is located are monitored. When an earthquake occurs, the seismic risk cost of the current gas storage reservoir is quickly evaluated through the seismic risk assessment model, and the corresponding risk control measures are output.

[0063] In this embodiment, based on the historical regional seismic records and seismic motion parameters of the gas storage reservoir construction area, multiple groups of random seismic motion time history records under different exceedance probabilities are generated. Then, based on the seismic geological data and the engineering geological and structural design information, a three-dimensional numerical simulation model is established. Then, taking the multiple groups of random seismic motion time history records under different exceedance probabilities as input conditions, the dynamic response calculation of the three-dimensional numerical simulation model is carried out to obtain the damage degree information, and further the seismic risk cost under the input conditions is obtained, so as to achieve the purpose of quantitatively evaluating the risk cost brought by the earthquake. Finally, according to the multiple groups of random seismic motion time history records under different exceedance probabilities and the corresponding seismic risk costs, a seismic risk assessment model is constructed, and a disposal method library corresponding to different intensities of seismic motion conditions is used to evaluate the seismic risk cost of the current gas storage reservoir and output corresponding risk control measures, so as to achieve the purpose of being able to evaluate the risk cost in the first time and make corresponding risk management when an earthquake occurs. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings without creative efforts based on these drawings.

[0065] Figure 1 is a flowchart of a seismic monitoring method based on the structural parameters of a gas storage reservoir shown in an embodiment of the present invention;

[0066] Figure 2 is a structural block diagram of a seismic monitoring device based on the structural parameters of a gas storage reservoir provided in an embodiment of the present invention;

[0067] Figure 3 is a schematic diagram of an electronic device shown in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0068] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0069] Please refer to Figure 1 , Figure 1 is a flowchart of a seismic monitoring method based on the structural parameters of a gas storage reservoir shown in an embodiment of the present invention. As Figure 1 shown, the method may include steps S101 to step S109:

[0070] Step S101: Collect seismic geological data, engineering geological and structural design information of the gas storage reservoir construction area. The seismic geological data includes historical regional seismic records and ground motion parameters of the gas storage reservoir construction area. The engineering geological and structural design information includes the distribution characteristics of rock and soil layers in the area, groundwater conditions, in-situ stress field, physical and mechanical parameters of rock and soil masses, gas storage reservoir shape design parameters, and gas storage reservoir structure parameters.

[0071] In this embodiment, since an earthquake is a low-probability event, an earthquake may not occur even once during the 50-year operation period of a project. Therefore, it is necessary to collect historical seismic geological data in the past for combination with the engineering geological and structural design information to simulate the possible impacts on the gas storage reservoir under different earthquake conditions.

[0072] Exemplarily, the seismic geological data, engineering geological and structural design information can be obtained by means of downloading from an open-source database, unmanned aerial vehicle (UAV) measurement, purchase, etc.

[0073] Step S102: Generate multiple groups of random ground motion time history records under different exceedance probabilities based on the historical regional seismic records and ground motion parameters of the gas storage reservoir construction area.

[0074] In this embodiment, multiple groups of random ground motion time history records under different exceedance probabilities can be obtained by, but not limited to, using the Monte Carlo simulation method. The exceedance probability is the probability that the gas storage reservoir may encounter an earthquake intensity value or ground motion parameter value greater than or equal to a given value within a certain period. The ground motion time history describes the process of the change of ground motion acceleration, velocity or displacement with time, and includes three key elements, namely the intensity, frequency spectrum and duration of the ground motion. The intensity is usually characterized by the maximum amplitude (such as the peak acceleration); the frequency spectrum characteristics reflect the intensity distribution of different frequency components; the duration affects the final damage degree of the structure, especially the structural response in the nonlinear stage.

[0075] Through multiple groups of random ground motion time history records under different exceedance probabilities, the impacts generated when earthquakes of different intensities actually occur can be simulated.

[0076] Step S103: Establish a three-dimensional numerical simulation model based on the seismic geological data and the engineering geological and structural design information.

[0077] In this embodiment, a three-dimensional numerical simulation model of the gas storage reservoir can be established by, but not limited to, using the method of establishing a finite element structure model.

[0078] In this application, a simulation model can be established for existing gas storage reservoirs to conduct risk assessment of the gas storage reservoirs and give suggestions on the corresponding seismic risk control. At the same time, for gas storage reservoirs that have not been established yet, a simulation model can be established based on their design data to conduct risk assessment of the gas storage reservoirs and estimate the possible subsequent seismic risk situations they may bear.

[0079] Step S104: Using the generated random seismic ground motion time history records under multiple different exceedance probabilities as input conditions, perform dynamic response calculations on the three-dimensional numerical simulation model to obtain damage degree information, where the damage degree information includes: the damage range of the sealing layer and the damage range of the lining.

[0080] In this embodiment, using the generated random seismic ground motion time history records under multiple different exceedance probabilities as input conditions can simulate different levels of seismic conditions. The process of performing dynamic response calculations on the three-dimensional numerical simulation model can be achieved through, but not limited to, the method of using a dynamic analysis model for calculation. Finally, the specific impacts of different seismic conditions on the gas storage reservoir can be obtained, that is, the damage degree information.

[0081] In this application, since the gas storage reservoir has higher requirements for structural stability and airtightness, the damage degree information of the gas storage reservoir is determined through the damage ranges of the sealing layer and the lining.

[0082] Step S105: Adopt a risk quantitative evaluation model, and based on the exceedance probability in the input conditions and the damage degree information under the seismic conditions, obtain the seismic risk cost under the input conditions.

[0083] In this embodiment, a monetized risk quantitative evaluation model is adopted to evaluate the impact of the earthquake on the operation of the gas storage reservoir based on the exceedance probability of the earthquake occurrence and the damage degree under this seismic condition. Among them, the seismic risk cost includes the repair cost, that is, the seismic risk cost under a certain seismic ground motion intensity condition, and the production reduction loss, that is, the time cost impact caused by repairing the losses caused by the earthquake.

[0084] Step S106: Based on the seismic risk cost, create corresponding risk control measures to obtain a disposal method library under different intensities of seismic ground motion conditions.

[0085] In this embodiment, based on the seismic risk cost, integrate and classify the repair measures to be taken for the gas storage reservoir when affected by earthquakes of different degrees. The set of different response measures is the disposal method library.

[0086] Among them, different methods should be adopted according to the different degrees of damage suffered by the gas storage reservoir. For example, for minor damage, only filling and patching can be considered. If there is extensive damage, structural reinforcement or overall replacement needs to be considered.

[0087] Step S107: Construct an earthquake risk assessment model based on multiple groups of random ground motion time history records under different exceedance probabilities and the corresponding earthquake risk costs, and determine the risk control measure plans matching different earthquake risk costs in the disposal method library.

[0088] In this embodiment, the earthquake risk assessment model can be constructed by integrating the calculation results of multiple groups of earthquake risk costs through methods such as, but not limited to, machine learning. The model is used to estimate the possible disasters caused by subsequent earthquakes, and is corresponded with the disposal method library to obtain the risk control measures corresponding to different earthquake risk costs.

[0089] Step S108: During the current operation of the gas storage reservoir, monitor the ground motion and the structural stress level of the gas storage reservoir in the area where the current gas storage reservoir is located.

[0090] In this embodiment, during the actual operation of the gas storage reservoir, real-time ground motion monitoring should be carried out in the surrounding areas to give timely warnings and responses to possible earthquake disasters. At the same time, the structural stress level of the gas storage reservoir itself should also be monitored. Since the structural stability of the gas storage reservoir can be reflected by the structural stress level, monitoring the structural stress level of the gas storage reservoir itself can ensure that problems are discovered and handled in time, which is beneficial to the maintenance and use of the gas storage reservoir.

[0091] Step S109: Evaluate the earthquake risk cost of the current gas storage reservoir through the earthquake risk assessment model and output the corresponding risk control measures.

[0092] In this embodiment, after establishing the earthquake risk assessment model, the earthquake risk cost of the gas storage reservoir can be judged at any time according to the ground motion situation in the current area. Therefore, in the event of an actual earthquake, the earthquake risk can be evaluated in time through the earthquake assessment model associated with the disposal method library, and the corresponding response plan can be made.

[0093] Combined with the above embodiments, in one implementation manner, the present invention also provides an earthquake monitoring method based on the structural parameters of the gas storage reservoir. In this method, the above step S104 may specifically include steps S201 to S202:

[0094] Step S201: Based on the generated multiple groups of random ground motion time history records under different exceedance probabilities as input conditions, perform dynamic response calculations of the three-dimensional numerical simulation model, and record the stresses of the sealing layer and the lining under each group of the input conditions.

[0095] In this embodiment, the damage degree information at least includes: the damage range of the sealing layer and the damage range of the lining. Among them, taking the generated multi-group random ground motion time history records under different exceedance probabilities as input conditions, different degrees of earthquake conditions can be simulated. The process of calculating the dynamic response of the three-dimensional numerical simulation model can be carried out by methods including but not limited to using a dynamic analysis model. Finally, the specific impacts of different earthquake situations on the gas storage reservoir can be obtained. The specific manifestations of the damage to the sealing layer and the lining are the magnitudes of the stresses received by the sealing layer and the lining.

[0096] Step S202: The allowable stress of the sealing layer material is σ Rs , and the allowable stress of the lining material is σ Rc . Among the calculation results of each group, the total volume V Rs of the area where the stress of the sealing layer is greater than the allowable stress σ s is determined as the damage range of the sealing layer; the total volume V Rc of the area where the lining stress is greater than σ c is determined as the damage range of the lining.

[0097] In this embodiment, it is possible to judge whether there is damage by calculating the magnitudes of the stresses borne by the sealing layer and the lining. The allowable stress thresholds of the sealing layer and the lining of the gas storage reservoir can be obtained through the gas storage reservoir design documents and actual construction information. When the stress exceeds the threshold, it can be regarded that the sealing layer or the lining is damaged. By calculating the total volume of the area where the stress exceeds the allowable stress, the damage range of the sealing layer or the lining can be obtained.

[0098] Combined with the above embodiments, in one implementation manner, the present invention also provides a seismic monitoring method based on the structural parameters of the gas storage reservoir. In this method, the above step S105 may specifically include steps S301 to S303:

[0099] Step S301: Determine the repair cost C repair according to the damage range of the sealing layer and the damage range of the lining. The repair cost C repair is used to reflect the engineering quantity of the repair project.

[0100] In this embodiment, the damage range of the sealing layer and the damage range of the lining are used to determine the repair cost C repair . According to the size of the damaged range, the engineering quantity required for the repair project is also different, and the economic cost brought by the repair project also changes accordingly. The repair of the gas storage reservoir includes the repair of the sealing layer and the repair of the lining.

[0101] Step S302: Determine the production reduction loss C loss according to the number of days of production suspension and the daily benefit of the energy storage power station., the number of days of production suspension is related to the workload of the repair project.

[0102] In this embodiment, the earthquake risk cost further includes the production reduction loss C loss , after suffering from an earthquake disaster, during the repair process, the energy storage power station supplied by the gas storage cannot continue to work. Therefore, the earthquake risk cost not only includes the repair cost of the gas storage, but also includes the economic loss caused by the shutdown of the energy storage power station. The number of days of production suspension depends on the degree of damage suffered by the gas storage. The greater the degree of damage, the greater the workload of the repair project, and the more days of production suspension; the smaller the degree of damage, the smaller the workload of the repair project, and the fewer days of production suspension; the production reduction loss C loss is also related to the daily benefit of the energy storage power station. The product of the economic benefit brought by the energy storage power station every day and the number of days of production suspension is the production reduction loss C loss .

[0103] Step S303: Take P f × (C repair + C loss ) as the earthquake risk cost, where P f is the occurrence probability of the earthquake intensity at this site.

[0104] In this embodiment, the earthquake risk cost is not only affected by the repair cost C repair and the production reduction loss C loss , but also depends on the occurrence probability P f of the earthquake intensity at the site where the gas storage is located. The occurrence probability includes the probability of an earthquake occurring and the probability that the earthquake intensity will cause damage to the gas storage. Considering the above three factors comprehensively, the earthquake risk cost P f × (C repair + C loss ) of the earthquake risk assessment model is constructed.

[0105] Combined with the above embodiments, in one implementation manner, the present invention further provides an earthquake monitoring method based on the structural parameters of the gas storage. In this method, the above step S107 may specifically include step S401:

[0106] Step S401: Use the multi-group of random ground motion time history records under different exceedance probabilities and the corresponding earthquake risk costs as training samples to train the machine learning model to obtain the earthquake risk assessment model.

[0107] In this embodiment, first, for each sample ground motion time history record, the sample ground motion time history record is marked according to whether it represents that the earthquake will cause damage to the three-dimensional numerical simulation model. The marking process can be completed manually, that is, manually judge whether the sample ground motion time history record poses a risk to the three-dimensional numerical simulation model, and then mark the sample ground motion time history record so that the sample ground motion time history record carries the mark.

[0108] Mark each sample ground motion time history record according to the above process, and then obtain multiple sample ground motion time history records carrying marks.

[0109] Then, feature extraction is performed on each sample ground motion time history record carrying a mark, and the extracted features are input into a classifier (such as: softmax, Bayesian, SVM, xgboost) for training until the trained first preset model has the function of predicting the probability that a single ground motion time history record represents the earthquake risk suffered by the three-dimensional numerical simulation model. This trained first preset model is the earthquake risk assessment model.

[0110] Finally, after obtaining the earthquake risk assessment model, for a single ground motion time history record, such as: the ground motion time history record of an actually occurring earthquake, the single ground motion time history record can be input into the earthquake risk assessment model, and the earthquake risk assessment model can be used to predict the probability that the ground motion time history record represents the earthquake risk that the gas storage reservoir may suffer.

[0111] Combined with the above embodiments, in one implementation manner, the present invention also provides an earthquake monitoring method based on the structural parameters of the gas storage reservoir. In this method, step S102 above may specifically include steps S501 to S502:

[0112] Step S501: Determine the upper and lower limits of the peak ground acceleration (PGA) of ground motion based on the historical regional earthquake records in the gas storage reservoir construction area.

[0113] In this example, due to the regional nature of earthquake risk assessment, for the earthquake-prone northwest region, establishing the upper and lower limits of the earthquake intensity can more specifically simulate possible earthquake situations, and the random ground motion time history records used as inputs are more in line with the actual situation.

[0114] Step S502: For the target PGA, based on the Monte Carlo simulation method, with PGA as the target value, generate the multiple groups of random ground motion time history records under different exceedance probabilities.

[0115] In this example, multiple sets of time history records of random ground motions with different exceedance probabilities can be obtained through, but not limited to, the Monte Carlo simulation method. The Monte Carlo simulation method establishes a probability model or a stochastic process such that its parameters or numerical characteristics are equal to the solution of the problem. Then, by observing or sampling the model or process, these parameters or numerical characteristics are calculated, and finally, an approximate value of the solution is given. The error of this method is independent of the dimension of the problem, and it can directly solve problems with statistical properties without the need for discretization for continuous problems. In the application of simulating the time history records of random ground motions, the randomness of earthquake occurrence can be more accurately simulated, and a large amount of data input can also be provided for establishing a reliable earthquake risk assessment model.

[0116] Combined with the above embodiments, in one implementation manner, the present invention further provides a seismic monitoring method based on the structural parameters of the gas storage reservoir. In this method, step S106 above may specifically include steps S601 to S602:

[0117] Step S601: Create risk control measures for the corresponding project quantity based on the seismic risk cost. The risk control measures include: strengthening the structure, sealing and repairing, and increasing emergency reserves.

[0118] In this example, based on the seismic risk cost, targeted risk control measures are proposed, such as strengthening the structure, sealing and repairing, increasing emergency reserves, etc. (the project quantity of the emergency measure plan is totaled according to the seismic risk cost). The corresponding emergency reserves can be made according to the specific quantified risk cost obtained from the risk assessment model to quickly respond to earthquake damage in the event of an earthquake disaster.

[0119] Step S602: The risk control measures created for different seismic risk costs form a disposal method library under different intensities of ground motion conditions.

[0120] In this example, due to the randomness of earthquake occurrence, different response measures should be taken for different degrees of earthquake damage. Therefore, the estimated loss of the gas storage reservoir caused by the earthquake can be obtained according to the risk assessment model, the project quantity of post-disaster repair can be evaluated, and a disposal plan can be formed based on the project quantity to form a disposal method library under different intensities of ground motion conditions. After an extreme disaster occurs, the speed of risk response can be increased, providing support for the risk management plan.

[0121] It should be noted that for method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should be aware that the embodiments of the present invention are not limited by the described action sequences, because according to the embodiments of the present invention, certain steps can be performed in other sequences 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 essential for the embodiments of the present invention.

[0122] Based on the same inventive concept, an embodiment of the present invention provides a seismic monitoring device 700 based on the structural parameters of a gas storage reservoir. Refer to Figure 2 , Figure 2 which is a structural block diagram of the seismic monitoring device based on the structural parameters of the gas storage reservoir provided by an embodiment of the present invention. As Figure 2 shown, the device 700 includes:

[0123] A data collection module 701, configured to collect seismic geological data, engineering geological and structural design information of the gas storage reservoir construction area. The seismic geological data includes: historical regional seismic records and seismic motion parameters of the gas storage reservoir construction area, and the engineering geological and structural design information includes: distribution characteristics of rock and soil layers in the area, groundwater conditions, in-situ stress field, physical and mechanical parameters of rock and soil masses, gas storage reservoir body design parameters, and gas storage reservoir structure parameters;

[0124] An input condition generation module 702, configured to generate random seismic motion time history records under multiple different exceedance probabilities based on the historical regional seismic records and seismic motion parameters of the gas storage reservoir construction area;

[0125] A simulation model establishment module 703, configured to establish a three-dimensional numerical simulation model based on the seismic geological data and the engineering geological and structural design information;

[0126] A damage degree determination module 704, configured to use the generated random seismic motion time history records under multiple different exceedance probabilities as input conditions to perform dynamic response calculations on the three-dimensional numerical simulation model to obtain damage degree information, where the damage degree information includes: damage range of the sealing layer and damage range of the lining;

[0127] A risk quantitative evaluation module 705, configured to obtain the seismic risk cost under the input conditions according to the exceedance probability in the input conditions and the damage degree information under the seismic conditions;

[0128] A disposal method library establishment module 706, configured to create corresponding risk control measures based on the seismic risk cost to obtain a disposal method library under different intensities of seismic motion conditions;

[0129] An earthquake risk assessment module 707 is used to construct an earthquake risk assessment model based on multiple sets of random ground motion time history records and corresponding earthquake risk costs under different exceedance probabilities, and determine a risk control measure plan matching different earthquake risk costs in the disposal method library;

[0130] A monitoring module 708 is used to monitor the ground motion and the stress level of the gas storage structure in the area where the current gas storage is located during the operation of the current gas storage;

[0131] A risk control measure output module 709 is used to evaluate the earthquake risk cost of the current gas storage through the earthquake risk assessment model and output corresponding risk control measures.

[0132] Optionally, the generated multiple sets of random ground motion time history records under different exceedance probabilities are used as input conditions to perform dynamic response calculations of a three-dimensional numerical simulation model to obtain damage degree information;

[0133] The damage degree determination module 704 includes:

[0134] A dynamic response calculation sub-module is used to perform dynamic response calculations of a three-dimensional numerical simulation model based on the generated multiple sets of random ground motion time history records under different exceedance probabilities as input conditions, and record the stresses of the sealing layer and the lining under each set of the input conditions;

[0135] A damage range determination sub-module is used to, in the calculation results of each group, determine the total volume V of the area where the stress of the sealing layer is greater than the allowable stress σ Rs as the damage range of the sealing layer; and determine the total volume V of the area where the stress of the lining is greater than σ s as the damage range of the lining. Rc as the damage range of the lining. c as the damage range of the lining.

[0136] Optionally, the earthquake risk cost includes: repair cost and production reduction loss; a risk quantitative evaluation model is used to obtain the earthquake risk cost under the input conditions according to the exceedance probability in the input conditions and the damage degree information under the earthquake conditions;

[0137] The risk quantitative evaluation module 705 includes:

[0138] A repair cost determination sub-module is used to determine the repair cost C repair according to the damage range of the sealing layer and the damage range of the lining, and the repair cost C repair is used to reflect the engineering quantity of the repair project;

[0139] A production reduction loss determination sub-module is used to determine the production reduction loss C loss, the number of production suspension days is related to the engineering quantity of the repair project;

[0140] A risk cost determination sub-module determines P f × (C repair + C loss ) as the earthquake risk cost, where P f is the occurrence probability of the earthquake intensity at the site.

[0141] Optionally, an earthquake risk assessment model is constructed based on the multi-group of random ground motion time history records under different exceedance probabilities and the corresponding earthquake risk costs;

[0142] The earthquake risk assessment module 707 includes:

[0143] An assessment model training sub-module is used to use the multi-group of random ground motion time history records under different exceedance probabilities and the corresponding earthquake risk costs as training samples to train a machine learning model to obtain the earthquake risk assessment model.

[0144] Optionally, based on the historical regional earthquake records and ground motion parameters in the gas storage reservoir construction area, multi-group of random ground motion time history records under different exceedance probabilities are generated;

[0145] Optionally, the input condition generation module 702 includes:

[0146] A historical record confirmation sub-module is used to determine the upper and lower limits of the ground motion intensity PGA based on the historical regional earthquake records in the gas storage reservoir construction area;

[0147] A model generation sub-module is used to generate the multi-group of random ground motion time history records under different exceedance probabilities with the PGA as the target value based on the Monte Carlo simulation method for the target PGA.

[0148] Optionally, corresponding risk control measures are created based on the earthquake risk cost to obtain a disposal method library under different ground motion conditions;

[0149] The disposal method library establishment module 706 includes:

[0150] A risk control measure determination sub-module is used to create risk control measures with corresponding engineering quantities based on the earthquake risk cost. The risk control measures include: strengthening the structure, sealing and repairing, and increasing emergency reserves;

[0151] A method library formation sub-module is used to form a disposal method library under different ground motion conditions for the risk control measures created for different earthquake risk costs.

[0152] Based on the same inventive concept, another embodiment of the present invention provides an electronic device 800, such asFigure 3 as shown Figure 3 is a schematic diagram of an electronic device shown in an embodiment of the present invention. The electronic device includes a memory 802, a processor 801, and a computer program stored on the memory and executable on the processor. When the processor executes, it implements the steps in the seismic monitoring method based on the structural parameters of the gas storage reservoir described in any of the above embodiments of the present invention.

[0153] For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple. For the relevant parts, refer to the partial description of the method embodiment.

[0154] Each embodiment in this specification is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. For the same or similar parts among the embodiments, refer to each other.

[0155] Those skilled in the art should understand 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 completely hardware embodiments, completely software embodiments, or embodiments combining software and hardware aspects. 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 memories, CD-ROMs, optical memories, etc.) containing computer-usable program code.

[0156] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of 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 can be implemented by computer program instructions, and the combination of processes and / or blocks in the flowchart and / or block diagram can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal devices generate a device for implementing the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0157] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device that implements the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0158] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device, so that a series of operation steps are executed on the computer or other programmable terminal device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable terminal device provide steps for implementing the functions specified in one process or multiple processes and / or blocks. Figure 1 One process or multiple processes and / or blocks Figure 1 Steps for implementing the functions specified in one block or multiple blocks.

[0159] Although the preferred embodiments of the embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concepts. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present invention.

[0160] Finally, it should also be noted that in this article, relational terms such as first and second 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 term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or terminal device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or terminal device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the existence of additional identical elements in the process, method, article or terminal device comprising the said element.

[0161] The above has introduced in detail the seismic monitoring method, device, equipment and medium based on the structural parameters of the gas storage reservoir provided by the present invention. Specific examples are used in this article to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A seismic monitoring method based on gas storage reservoir structural parameters, characterized in that: The method comprises: Collecting seismic geological data, engineering geological and structural design information of the gas storage construction area, wherein the seismic geological data include: historical regional earthquake records and seismic motion parameters of the gas storage construction area, and the engineering geological and structural design information include: regional rock and soil layer distribution characteristics, groundwater conditions, ground stress field, rock and soil body physical and mechanical parameters, gas storage body design parameters, and gas storage structure parameters; Based on the historical regional earthquake records and seismic parameters of the gas storage construction area, multiple groups of random seismic time history records with different exceedance probabilities are generated; Based on the seismic geological data and the engineering geological and structural design information, a three-dimensional numerical simulation model is established; The generated multiple groups of random earthquake time history records under different exceedance probabilities are used as input conditions to perform dynamic response calculation of the three-dimensional numerical simulation model to obtain damage degree information, wherein the damage degree information includes: the damage range of the sealing layer and the damage range of the lining; Using a risk quantitative assessment model, according to the exceedance probability in the input conditions and the damage degree information under the seismic conditions, the earthquake risk cost under the input conditions is obtained; Based on the earthquake risk cost, corresponding risk control measures are created to obtain a library of disposal methods under different intensities of earthquake motion conditions; Based on multiple sets of random seismic time history records with different exceedance probabilities and the corresponding earthquake risk costs, an earthquake risk assessment model is constructed, and risk control measures matching different earthquake risk costs are determined in the disposal method library; During the operation of the current gas storage, monitoring the earthquake motion in the area where the current gas storage is located and the stress level of the gas storage structure; The earthquake risk cost of the current gas storage facility is evaluated through an earthquake risk assessment model, and corresponding risk control measures are output.

2. The earthquake monitoring method based on gas storage reservoir structural parameters according to claim 1 is characterized in that: The method uses the generated multiple groups of random earthquake time history records under different exceedance probabilities as input conditions to perform dynamic response calculation of the three-dimensional numerical simulation model to obtain damage degree information, including: Based on the generated multiple groups of random earthquake time history records under different exceedance probabilities as input conditions, dynamic response calculation of the three-dimensional numerical simulation model is performed, and the stress of the sealing layer and the lining under each group of the input conditions is recorded; Among them, the allowable stress of the sealing layer material is σ Rs , the allowable stress of the lining material is σ Rc In each group of calculation results, the sealing layer stress is greater than the allowable stress σ Rs The total volume of the region V s , is determined as the damage range of the sealing layer; the lining stress is greater than σ Rc The total volume of the region V c , determined as the damage range of the lining.

3. The earthquake monitoring method based on gas storage reservoir structural parameters according to claim 1 is characterized in that: The earthquake risk cost includes: repair cost and production loss; the risk quantitative evaluation model is used to obtain the earthquake risk cost under the input conditions according to the exceedance probability in the input conditions and the damage degree information under the seismic conditions, including: Determine the repair cost C according to the damage range of the sealing layer and the damage range of the lining. repair , the repair cost C repair The amount of work used for reaction repair works; According to the number of days of shutdown and the daily benefit of the energy storage power station, the loss of production reduction C is determined. loss , the number of days of suspension of production is related to the amount of work of the repair project; P f ×(C repair +C loss ) is determined as the earthquake risk cost, where P f is the probability of occurrence of earthquake intensity at the site.

4. The earthquake monitoring method based on gas storage reservoir structural parameters according to claim 1 is characterized in that: According to the multiple groups of random earthquake motion time history records under different exceedance probabilities and the corresponding earthquake risk costs, an earthquake risk assessment model is constructed, including: The multiple groups of random seismic time history records under different exceedance probabilities and the corresponding earthquake risk costs are used as training samples to train the machine learning model to obtain the earthquake risk assessment model.

5. The earthquake monitoring method based on gas storage reservoir structural parameters according to claim 1 is characterized in that: Based on the historical regional earthquake records and seismic parameters of the gas storage construction area, multiple groups of random seismic time history records with different exceedance probabilities are generated, including: Based on the historical regional earthquake records of the gas storage construction area, determine the upper and lower limits of the ground motion intensity PGA; For the target PGA, based on the Monte Carlo simulation method, the multiple groups of random seismic time history records under different exceedance probabilities are generated with PGA as the target value.

6. The earthquake monitoring method based on gas storage reservoir structural parameters according to claim 3 is characterized in that: Based on the earthquake risk cost, corresponding risk control measures are created to obtain a library of disposal methods under different intensities of earthquake motion conditions, including: Based on the earthquake risk cost, risk control measures for corresponding engineering quantities are created, and the risk control measures include: strengthening structures, sealing and repairing, and increasing emergency reserves; Risk control measures created for different earthquake risk costs form a library of disposal methods under earthquake motion conditions of different intensities.

7. An earthquake monitoring device based on gas storage reservoir structural parameters, characterized in that: The device comprises: A data collection module is used to collect seismic geological data, engineering geological and structural design information of the gas storage construction area, wherein the seismic geological data include: historical regional earthquake records and seismic motion parameters of the gas storage construction area, and the engineering geological and structural design information include: regional rock and soil layer distribution characteristics, groundwater conditions, ground stress field, rock and soil body physical and mechanical parameters, gas storage body design parameters, and gas storage structure parameters; An input condition generation module is used to generate multiple groups of random seismic time history records under different exceedance probabilities based on historical regional earthquake records and seismic parameters in the gas storage construction area; A simulation model building module, used to build a three-dimensional numerical simulation model based on the seismic geological data and the engineering geological and structural design information; A damage degree determination module is used to use the generated multiple groups of random seismic time history records under different exceedance probabilities as input conditions to perform dynamic response calculation of the three-dimensional numerical simulation model to obtain damage degree information, wherein the damage degree information includes: the damage range of the sealing layer and the damage range of the lining; A risk quantitative evaluation module, used to obtain the earthquake risk cost under the input conditions according to the exceedance probability in the input conditions and the damage degree information under the seismic conditions; The disposal method library establishment module is used to create corresponding risk control measures based on earthquake risk costs and obtain a disposal method library under different intensities of earthquake motion conditions; The earthquake risk assessment module is used to construct an earthquake risk assessment model based on multiple sets of random earthquake motion time history records with different exceedance probabilities and the corresponding earthquake risk costs, and to determine the risk control measures matching different earthquake risk costs in the disposal method library; A monitoring module, used to monitor the seismic motion in the area where the current gas storage is located and the stress level of the gas storage structure during the operation of the current gas storage; The risk control measures output module is used to evaluate the earthquake risk cost of the current gas storage reservoir through an earthquake risk assessment model and output corresponding risk control measures.

8. The earthquake monitoring device based on gas storage reservoir structural parameters according to claim 7, characterized in that: The damage degree determination module comprises: A dynamic response calculation submodule is used to perform dynamic response calculation of a three-dimensional numerical simulation model based on the generated multiple groups of random seismic time history records under different exceedance probabilities as input conditions, and record the stress of the sealing layer and the lining under each group of the input conditions; The damage range determination submodule is used to determine the damage range of the sealing layer stress greater than the allowable stress σ of the sealing layer material in each group of calculation results. Rs The total volume of the region V s , is determined as the damage range of the sealing layer; the lining stress is greater than the allowable stress σ of the lining material Rc The total volume of the region V c , determined as the damage range of the lining.

9. The earthquake monitoring device based on gas storage reservoir structural parameters according to claim 7, characterized in that: The risk quantitative assessment module includes: The repair cost determination submodule is used to determine the repair cost C according to the damage range of the sealing layer and the damage range of the lining. repair , the repair cost C repair The amount of work used for reaction repair works; The production reduction loss determination submodule is used to determine the production reduction loss C according to the number of days of shutdown and the daily benefit of the energy storage power station. loss , the number of days of suspension of production is related to the amount of work of the repair project; The risk cost determination submodule converts P f ×(C repair +C loss ) is determined as the earthquake risk cost, where P f is the probability of occurrence of earthquake intensity at the site.

10. The earthquake monitoring device based on gas storage reservoir structural parameters according to claim 7, characterized in that: The earthquake risk assessment module comprises: The assessment model training submodule is used to use the multiple groups of random seismic time history records under different exceedance probabilities and the corresponding earthquake risk costs as training samples to train the machine learning model to obtain the earthquake risk assessment model.

11. The earthquake monitoring device based on gas storage reservoir structural parameters according to claim 7, characterized in that: The input condition generation module comprises: A historical record confirmation submodule, used to determine the upper and lower limits of the ground motion intensity PGA based on the historical regional earthquake records in the gas storage construction area; The model generation submodule is used to generate the multiple groups of random seismic time history records under different exceedance probabilities for the target PGA based on the Monte Carlo simulation method and taking PGA as the target value.

12. The earthquake monitoring device based on gas storage reservoir structural parameters according to claim 9, characterized in that: The disposal method library establishment module includes: A risk control measure determination submodule is used to create risk control measures for corresponding engineering quantities based on the earthquake risk cost, wherein the risk control measures include: strengthening structures, sealing repairs, and increasing emergency reserves; The method library forms a sub-module, which is used to create risk control measures for different earthquake risk costs, forming a disposal method library under different intensities of earthquake motion conditions.

13. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the computer program is executed by the processor, the seismic monitoring method based on gas storage reservoir structural parameters as described in any one of claims 1 to 6 is implemented.

14. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the seismic monitoring method based on gas storage reservoir structural parameters as described in any one of claims 1 to 6 is implemented.

15. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the seismic monitoring method based on gas storage reservoir structural parameters as described in any one of claims 1 to 6 is implemented.

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