A three-dimensional ground stress monitoring method and device for carbon dioxide storage

Abstract

The disclosed embodiment provides a three-dimensional geostress monitoring method and device for carbon dioxide storage, which relates to the technical field of carbon dioxide storage. The method includes: obtaining original geostress data of a target area; obtaining a target geostress numerical simulation calculation model according to the original geostress data; performing geostress monitoring processing on the target area according to the target geostress numerical simulation calculation model to obtain a monitoring result; evaluating the monitoring result to obtain an evaluation result of the target area. The technical solution provided by the disclosed embodiment can improve the accuracy of three-dimensional geostress monitoring in carbon dioxide storage.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon dioxide storage, and in particular to a three-dimensional ground stress monitoring method and device for carbon dioxide storage. Background Art

[0002] During the storage process of carbon dioxide, mechanical parameters such as the fracture pressure and pore pressure in the injection area will change. Currently, the monitoring method for carbon dioxide injection areas is mostly manual monitoring, which cannot accurately analyze the complex regional environment, resulting in low monitoring accuracy. Summary of the invention

[0003] The main purpose of the embodiments of the present disclosure is to provide a three-dimensional geostress monitoring method and device for carbon dioxide storage, which can improve the accuracy of three-dimensional geostress monitoring in carbon dioxide storage.

[0004] To achieve the above-mentioned purpose, a first aspect of an embodiment of the present disclosure provides a three-dimensional ground stress monitoring method for carbon dioxide storage, comprising:

[0005] Acquire original geostress data of the target area; the original geostress data includes: stratum distribution data, geotectonic data, and wellbore data; the target area includes a carbon dioxide storage area;

[0006] Obtaining a target geostress numerical simulation calculation model according to the original geostress data;

[0007] Performing ground stress monitoring processing on the target area according to the target ground stress numerical simulation calculation model to obtain monitoring results; the monitoring results include stress-strain field data, displacement field data, and destruction damage field data;

[0008] The monitoring results are evaluated to obtain evaluation results of the target area; the evaluation results include: carbon dioxide storage capacity data, carbon dioxide potential leakage risk data, carbon dioxide injection pressure data, carbon dioxide injection volume data, and carbon dioxide impact on formations and faults.

[0009] In some embodiments, obtaining a target geostress numerical simulation calculation model according to the original geostress data includes:

[0010] Get input parameters;

[0011] Obtaining an initial geostress numerical simulation calculation model according to the original geostress data;

[0012] The initial geostress numerical simulation calculation model is trained with parameters according to the input parameters to obtain the target geostress numerical simulation calculation model.

[0013] In some embodiments, obtaining an initial geostress numerical simulation calculation model according to the original geostress data includes:

[0014] Constructing a three-dimensional geological geometric model according to the original geostress data;

[0015] The three-dimensional geological geometric model is divided into unit grids to obtain the initial geostress numerical simulation calculation model.

[0016] In some embodiments, the performing parameter training on the initial geostress numerical simulation calculation model according to the input parameters to obtain the target geostress numerical simulation calculation model includes:

[0017] Inputting the input parameters into the initial geostress numerical simulation calculation model to obtain simulation output results;

[0018] Observe the target area through a positioning system to obtain real-time observation results;

[0019] Obtaining a target comparison result according to the simulation output result and the real-time observation result;

[0020] Determine target parameters according to the target comparison result;

[0021] The target geostress numerical simulation calculation model is generated according to the target parameters.

[0022] In some embodiments, obtaining a target comparison result according to the simulation output result and the real-time observation result includes:

[0023] Obtaining an initial comparison result according to the simulation output result and the real-time observation result;

[0024] Error correction is performed on the initial comparison result to obtain the target comparison result.

[0025] In some embodiments, the real-time observation result includes observed displacement deformation data; the simulation output result includes simulated displacement deformation data; the initial comparison result includes a degree of fit; and obtaining the initial comparison result based on the simulation output result and the real-time observation result includes:

[0026] Performing adaptive calculation within a preset displacement value range according to the big data particle swarm algorithm to obtain the observed displacement deformation data and the simulated displacement deformation data;

[0027] The degree of fit is obtained according to the observed displacement deformation data and the simulated displacement deformation data.

[0028] In some embodiments, evaluating the monitoring results to obtain the evaluation results of the target area includes:

[0029] Obtaining surface data according to the monitoring results, wherein the surface data includes surface displacement data, fault data, and landslide displacement data;

[0030] The impact degree is evaluated according to the surface data and the preset warning value to obtain the impact degree data of the carbon dioxide on the formation and fault; the warning value is the surface displacement data when the carbon dioxide leaks.

[0031] To achieve the above-mentioned purpose, the second aspect of the present disclosure provides a three-dimensional ground stress monitoring device for carbon dioxide storage, comprising:

[0032] The original geostress data acquisition module is used to acquire the original geostress data of the target area; the original geostress data includes: stratum distribution data, geotectonic data, and wellbore data; the target area includes a carbon dioxide storage area;

[0033] A model generation module, used to obtain a target geostress numerical simulation calculation model according to the original geostress data;

[0034] A monitoring module, used to perform ground stress monitoring processing on the target area according to the target ground stress numerical simulation calculation model to obtain monitoring results; the monitoring results include stress-strain field data, displacement field data, and damage field data;

[0035] An evaluation module is used to evaluate the monitoring results to obtain evaluation results of the target area; the evaluation results include: carbon dioxide storage capacity data, carbon dioxide potential leakage risk data, carbon dioxide injection pressure data, carbon dioxide injection volume data, and carbon dioxide impact on formations and faults.

[0036] To achieve the above objective, a third aspect of the present disclosure provides an electronic device, including:

[0037] at least one memory;

[0038] at least one processor;

[0039] at least one program;

[0040] The program is stored in a memory, and the processor executes at least one program to implement the method of the present disclosure as described in the first aspect above.

[0041] To achieve the above objective, a fourth aspect of the present disclosure provides a storage medium, which is a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute:

[0042] As the method according to the first aspect above.

[0043] The embodiments of the present disclosure propose a three-dimensional geostress monitoring method and device for carbon dioxide sequestration. The method and device first obtain original geostress data of a target area, then obtain a target geostress numerical simulation calculation model based on the original geostress data, and then perform geostress monitoring processing on the target area based on the target geostress numerical simulation calculation model to obtain monitoring results. Finally, the monitoring results are evaluated to obtain an evaluation result of the target area. The technical solution provided by the embodiments of the present disclosure can improve the accuracy of three-dimensional geostress monitoring in carbon dioxide sequestration. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a flow chart of a three-dimensional geostress monitoring method for carbon dioxide storage provided in an embodiment of the present disclosure.

[0045] Figure 2 yes Figure 1 Flowchart of step S120 in .

[0046] Figure 3 yes Figure 2 Flowchart of step S220 in .

[0047] Figure 4 yes Figure 2 Flowchart of step S230 in .

[0048] Figure 5 yes Figure 4 Flowchart of step S430 in .

[0049] Figure 6 yes Figure 5 Flowchart of step S510 in .

[0050] Figure 7 yes Figure 1 Flowchart of step S140 in .

[0051] Figure 8 This is a module block diagram of a three-dimensional ground stress monitoring device for carbon dioxide storage provided in an embodiment of the present disclosure.

[0052] Fig. 9 It is a schematic diagram of the hardware structure of the electronic device provided by the embodiment of the present disclosure.

[0053] Reference numerals: original geostress data acquisition module 810 , model generation module 820 , monitoring module 830 , evaluation module 840 , processor 901 , memory 902 , input / output interface 903 , communication interface 904 , bus 905 . DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0055] It should be noted that, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first", "second", etc. in the specification, claims and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0056] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein are only for the purpose of describing the embodiments of the present invention and are not intended to limit the present invention.

[0057] During the storage process of carbon dioxide, mechanical parameters such as the fracture pressure and pore pressure in the injection area will change. Currently, the monitoring method for carbon dioxide injection areas is mostly manual monitoring, which cannot accurately analyze the complex regional environment, resulting in low monitoring accuracy.

[0058] In addition, carbon dioxide leakage is prone to occur during the storage process of carbon dioxide, and timely warning of the storage situation is required to ensure the safety of construction.

[0059] Based on this, the embodiments of the present disclosure provide a three-dimensional geostress monitoring method and device for carbon dioxide sequestration, which first obtains the original geostress data of the target area, then obtains the target geostress numerical simulation calculation model based on the original geostress data, and then performs geostress monitoring processing on the target area according to the target geostress numerical simulation calculation model to obtain monitoring results, and finally evaluates the monitoring results to obtain evaluation results of the target area. The technical solution provided by the embodiments of the present disclosure can improve the accuracy of three-dimensional geostress monitoring in carbon dioxide sequestration, and realizes timely early warning of the sequestration situation, thereby ensuring the safety of construction.

[0060] The embodiments of the present disclosure provide a three-dimensional geostress monitoring method and device for carbon dioxide sequestration, which are specifically described through the following embodiments. First, a three-dimensional geostress monitoring method for carbon dioxide sequestration in the embodiments of the present disclosure is described.

[0061] A three-dimensional geostress monitoring method for carbon dioxide storage provided by an embodiment of the present disclosure relates to the technical field of carbon dioxide storage. A three-dimensional geostress monitoring method for carbon dioxide storage provided by an embodiment of the present disclosure can be applied to a terminal, can also be applied to a server, and can also be software running in a terminal or a server.

[0062] The disclosed embodiment proposes a three-dimensional geostress monitoring method for carbon dioxide storage, comprising: obtaining original geostress data of a target area; the original geostress data comprises: stratum distribution data, geotectonic data, and wellbore data; the target area comprises a carbon dioxide storage area; obtaining a target geostress numerical simulation calculation model according to the original geostress data; performing geostress monitoring processing on the target area according to the target geostress numerical simulation calculation model to obtain monitoring results; the monitoring results comprise stress-strain field data, displacement field data, and destruction and damage field data; evaluating the monitoring results to obtain evaluation results of the target area; the evaluation results comprise: carbon dioxide storage capacity data, carbon dioxide potential leakage risk data, carbon dioxide injection pressure data, carbon dioxide injection volume data, and carbon dioxide impact degree data on strata and faults.

[0063] Figure 1 is an optional flow chart of a three-dimensional geostress monitoring method for carbon dioxide storage provided by an embodiment of the present disclosure. Figure 1 The method may include but is not limited to steps S110 to S140, specifically including:

[0064] S110, obtaining original geostress data of the target area;

[0065] S120, obtaining a target geostress numerical simulation calculation model according to the original geostress data;

[0066] S130, performing ground stress monitoring processing on the target area according to the target ground stress numerical simulation calculation model to obtain a monitoring result;

[0067] S140, evaluating the monitoring results to obtain an evaluation result of the target area.

[0068] In step S110, the original geostress data includes: stratum distribution data, geotectonic data, and borehole data, wherein the geotectonic data includes but is not limited to the orientation, thickness, and other distribution of structures such as faults and folds; the borehole data is used to determine the stratigraphic sequence, and the borehole data includes but is not limited to basic parameters such as rock lithology and density. The target area includes the carbon dioxide storage area.

[0069] In step S120, the target geostress numerical simulation calculation model is a trained model, which is used to perform numerical simulation calculations on the target area to obtain monitoring results.

[0070] In step S130, the monitoring results include stress-strain field data, displacement field data, and damage field data.

[0071] In a specific embodiment, the continuous injection of carbon dioxide will change the pore pressure in the reservoir, and then change the effective stress of the formation, resulting in stress changes and deformation problems, which will then trigger geomechanical response events such as activation of existing faults and induced cracks, and then cause carbon dioxide leakage, surface deformation, and formation instability problems in the carbon dioxide storage area. Therefore, by generating monitoring results such as stress-strain field data, displacement field data, and damage field data, the target area can be monitored.

[0072] It should be noted that the target geostress numerical simulation calculation model is a multi-solution geostress model obtained through training, and its multi-dimensional data output makes the monitoring and evaluation results more accurate.

[0073] Specifically, three-dimensional geostress is used to monitor the stress-strain field, displacement field, and damage field to obtain the geostress response and damage propagation after carbon burial, including the magnitude and reverse direction of triaxial geostress, and the location and range of fracture pressure, and to analyze the mechanical integrity and stability of the reservoir caprock, so as to facilitate the timely discovery and treatment of the above-mentioned problems.

[0074] In step S140, the evaluation results include: carbon dioxide storage capacity data, carbon dioxide potential leakage risk data, carbon dioxide injection pressure data, carbon dioxide injection volume data, and carbon dioxide impact on formations and faults.

[0075] In a specific embodiment, the continuous injection of carbon dioxide will affect the stress balance conditions of the reservoir rock formation, resulting in new cracks in the injection area, displacement of the surface structure and other problems. Therefore, it is necessary to evaluate the target area based on the monitoring results to ensure the safety of the project.

[0076] Specifically, the present application simulates the changes in stress-strain and displacement fields on a large time scale, monitors the rupture pressure, pore pressure, crack formation and crack penetration in the injection area, forms the geostress value of the leakage channel, and uses the geostress value as a warning value to evaluate and obtain: carbon dioxide storage capacity data, carbon dioxide potential leakage risk data, carbon dioxide injection pressure data, and carbon dioxide injection volume data.

[0077] Specifically, the present application compares the surface displacement and fault and landslide displacement data obtained through simulation calculation with the data obtained from actual monitoring, uses the displacement when carbon dioxide leaks as the warning value, and evaluates and obtains data on the degree of impact of carbon dioxide on strata and faults.

[0078] The disclosed embodiment proposes a three-dimensional geostress monitoring method for carbon dioxide storage. The method first obtains original geostress data of a target area, then obtains a target geostress numerical simulation calculation model based on the original geostress data, and then performs geostress monitoring processing on the target area based on the target geostress numerical simulation calculation model to obtain monitoring results. Finally, the monitoring results are evaluated to obtain an evaluation result of the target area. The technical solution provided by the disclosed embodiment can improve the accuracy of three-dimensional geostress monitoring in carbon dioxide storage.

[0079] In some embodiments, a target geostress numerical simulation calculation model is obtained based on original geostress data, including: obtaining input parameters; obtaining an initial geostress numerical simulation calculation model based on the original geostress data; and performing parameter training on the initial geostress numerical simulation calculation model based on the input parameters to obtain a target geostress numerical simulation calculation model.

[0080] Figure 2 is a flowchart of step S120 in some embodiments, Figure 2 The illustrated step S120 includes but is not limited to steps S210 to S230:

[0081] S210, obtaining input parameters;

[0082] S220, obtaining an initial geostress numerical simulation calculation model according to the original geostress data;

[0083] S230, performing parameter training on the initial geostress numerical simulation calculation model according to the input parameters to obtain a target geostress numerical simulation calculation model.

[0084] In step S210, the input parameters include rock mechanics parameters (Young's modulus, Poisson's ratio, density) and strength parameters (compressive strength, shear strength, etc.), as well as boundary conditions. Generally, the initial strain state of the model boundary is determined based on the existing geostress data in the selected target area.

[0085] In the process of numerical simulation using input parameters, the numerical simulation will output a series of data files, including the magnitude and direction of ground stress, the degree and type of rock damage, displacement field, etc. At the same time, a certain number of monitoring points can be set. These monitoring points can be set in the wellbore and reservoir to obtain the stress-strain field, displacement field and change law data of the points of interest.

[0086] In steps S220 to S230, an initial geostress numerical simulation calculation model is first constructed, and then the model is trained using input parameters to obtain a target geostress numerical simulation calculation model.

[0087] In some embodiments, an initial geostress numerical simulation calculation model is obtained based on original geostress data, including: constructing a three-dimensional geological geometry model based on the original geostress data; and performing unit grid division on the three-dimensional geological geometry model to obtain an initial geostress numerical simulation calculation model.

[0088] Figure 3 is a flowchart of step S220 in some embodiments, Figure 3 The illustrated step S220 includes but is not limited to steps S310 to S320:

[0089] S310, constructing a three-dimensional geological geometric model according to the original geostress data;

[0090] S320, performing unit grid division on the three-dimensional geological geometric model to obtain an initial geostress numerical simulation calculation model.

[0091] In steps S310 to S320, a three-dimensional geological geometric model is established based on the original geostress data, and then appropriate unit grid division is performed to create an initial geostress numerical simulation calculation model.

[0092] In some embodiments, parameter training is performed on an initial geostress numerical simulation calculation model according to input parameters to obtain a target geostress numerical simulation calculation model, including: inputting the input parameters into the initial geostress numerical simulation calculation model to obtain simulation output results; observing the target area through a positioning system to obtain real-time observation results; obtaining target comparison results according to the simulation output results and the real-time observation results; determining target parameters according to the target comparison results; and generating a target geostress numerical simulation calculation model according to the target parameters.

[0093] Figure 4 is a flowchart of step S230 in some embodiments, Figure 4 The illustrated step S230 includes but is not limited to steps S410 to S450:

[0094] S410, inputting the input parameters into the initial geostress numerical simulation calculation model to obtain a simulation output result;

[0095] S420, observing the target area through the positioning system to obtain real-time observation results;

[0096] S430, obtaining a target comparison result according to the simulation output result and the real-time observation result;

[0097] S440, determining target parameters according to the target comparison result;

[0098] S450, generating a target geostress numerical simulation calculation model according to the target parameters.

[0099] By looping through steps S410 to S430, the big data particle swarm algorithm continuously adjusts the input parameters of the three-dimensional geostress model until the simulation output results are most consistent with the real-time observation results (constraints such as ground deformation and fault landslide displacement), thereby obtaining the optimal solution for the input parameters.

[0100] In step S420, the positioning system includes but is not limited to the GPS global positioning system.

[0101] In steps S440 to S450, the simulation output results are compared with the real-time observation results, and the input data is adjusted as constraints, the output data is observed, and the particle swarm algorithm is used to adaptively calculate and compare within the set range, output the optimization results, determine the target parameters, and use the target parameters to generate the target geostress numerical simulation calculation model to complete the model training.

[0102] Among them, the constraint condition is the target value of the particle swarm algorithm. The algorithm continuously corrects the input parameters and compares the output results with the constraint conditions. If the consistency is poor, it will continue to iterate and adjust.

[0103] In some embodiments, a target comparison result is obtained based on the simulation output result and the real-time observation result, including: obtaining an initial comparison result based on the simulation output result and the real-time observation result; and performing error correction on the initial comparison result to obtain a target comparison result.

[0104] Figure 5 is a flowchart of step S430 in some embodiments, Figure 5 The illustrated step S430 includes but is not limited to steps S510 to S520:

[0105] S510, obtaining an initial comparison result according to the simulation output result and the real-time observation result;

[0106] S520, performing error correction on the initial comparison result to obtain a target comparison result.

[0107] In steps S510 to S520, the purpose of the comparison is to compare the difference between the output of the model and the actual observed value, so as to adjust the parameters of the model to achieve the effect of training the model. However, there may be certain calculation errors in the simulation calculation process. Therefore, the particle swarm algorithm is used to repair the errors caused by the simulation process, so that the target comparison result is more accurate and the accuracy of the model training is guaranteed.

[0108] In some embodiments, the real-time observation results include observed displacement deformation data; the simulation output results include simulated displacement deformation data; the initial comparison results include a degree of fit; the initial comparison results are obtained based on the simulation output results and the real-time observation results, including: performing adaptive calculations within a preset displacement value range based on a big data particle swarm algorithm to obtain observed displacement deformation data and simulated displacement deformation data; and obtaining a degree of fit based on the observed displacement deformation data and simulated displacement deformation data.

[0109] Figure 6 is a flowchart of step S510 in some embodiments, Figure 6 The illustrated step S510 includes but is not limited to steps S610 to S620:

[0110] S610, performing adaptive calculation within a preset displacement value range according to the big data particle swarm algorithm to obtain observed displacement deformation data and simulated displacement deformation data;

[0111] S620, obtaining a degree of fit according to the observed displacement deformation data and the simulated displacement deformation data.

[0112] In step S610, the observed displacement deformation data is the displacement deformation data actually observed, and the simulated displacement deformation data is the displacement deformation data obtained by model calculation; the observed displacement deformation data on the ground include tectonic data, etc., which are easily affected by ground stress and there is a risk of geomechanical response, and these influences will be manifested in changes in the displacement field.

[0113] One of the main output results of numerical simulation is simulated displacement deformation data. The deformation and displacement data of the surface can be obtained through the positioning system. Different simulated surface displacement deformation data are obtained by continuously adjusting the input parameters, and compared with the deformation and displacement data of the surface to obtain the degree of consistency.

[0114] The input parameters corresponding to the highest degree of fit are used as target parameters to generate the target geostress numerical simulation calculation model, ensuring the degree of fit between the model and the actual situation. Among them, the highest degree of fit means that the displacement change value and change law of the actual monitoring are consistent with the displacement value of the simulation calculation within the allowable error range. It can be considered that the simulation effect is good and meets the engineering application. Specifically, the particle swarm algorithm is used to adaptively calculate and compare the simulation value and the monitoring value within the set displacement value range, and the errors of various uncertain input data are repaired until the highest degree of fit is achieved, and the value of the input parameter is determined.

[0115] In some embodiments, the monitoring results are evaluated to obtain evaluation results of the target area, including: obtaining surface data based on the monitoring results, the surface data including surface displacement data, fault data, and landslide displacement data; performing an impact assessment based on the surface data and preset warning values ​​to obtain data on the impact of carbon dioxide on formations and faults; the warning value is the surface displacement data when carbon dioxide leaks.

[0116] Figure 7 is a flowchart of step S140 in some embodiments, Figure 7 The illustrated step S140 includes but is not limited to steps S710 to S720:

[0117] S710, obtaining surface data according to the monitoring results;

[0118] S720, evaluating the impact degree based on the surface data and the preset warning value, and obtaining the impact degree data of carbon dioxide on the formation and fault.

[0119] In step S710, the surface data includes surface displacement data, fault data, and landslide displacement data. In step S720, the warning value is the surface displacement data when carbon dioxide leaks.

[0120] In steps S710 to S720, surface data is obtained through simulation calculation and compared with data obtained from actual monitoring. Surface displacement data when carbon dioxide leaks is evaluated as a warning value to obtain data on the degree of impact of carbon dioxide on formations and faults.

[0121] The disclosed embodiment proposes a three-dimensional geostress monitoring device for carbon dioxide storage, comprising: an original geostress data acquisition module, used to acquire original geostress data of a target area; the original geostress data comprises: stratum distribution data, geotectonic data, and wellbore data; the target area comprises a carbon dioxide storage area; a model generation module, used to obtain a target geostress numerical simulation calculation model according to the original geostress data; a monitoring module, used to perform geostress monitoring processing on the target area according to the target geostress numerical simulation calculation model to obtain monitoring results; the monitoring results comprise stress-strain field data, displacement field data, and destruction damage field data; an evaluation module, used to evaluate the monitoring results to obtain evaluation results of the target area; the evaluation results comprise: carbon dioxide storage capacity data, carbon dioxide potential leakage risk data, carbon dioxide injection pressure data, carbon dioxide injection volume data, and carbon dioxide impact degree data on strata and faults.

[0122] See also Figure 8 , Figure 8 The invention illustrates a three-dimensional geostress monitoring device for carbon dioxide sequestration according to an embodiment. The three-dimensional geostress monitoring device for carbon dioxide sequestration comprises: an original geostress data acquisition module 810, a model generation module 820, a monitoring module 830, and an evaluation module 840, wherein the original geostress data acquisition module 810 is connected to the model generation module 820, the model generation module 820 is connected to the monitoring module 830, and the monitoring module 830 is connected to the evaluation module 840.

[0123] The specific implementation of a three-dimensional geostress monitoring device for carbon dioxide sequestration in this embodiment is basically consistent with the specific implementation of the above-mentioned three-dimensional geostress monitoring method for carbon dioxide sequestration, and belongs to the same inventive concept, and will not be repeated here.

[0124] The present disclosure also provides an electronic device, including:

[0125] at least one memory;

[0126] at least one processor;

[0127] at least one program;

[0128] The program is stored in the memory, and the processor executes at least one program to implement the three-dimensional ground stress monitoring method for carbon dioxide sequestration in the present disclosure.

[0129] See also Fig. 9 , Fig. 9 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes:

[0130] The processor 901 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present disclosure;

[0131] The memory 902 can be implemented in the form of ROM (Read Only Memory), static storage device, dynamic storage device or RAM (Random Access Memory). The memory 902 can store operating systems and other applications. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program codes are stored in the memory 902, and the processor 901 is used to call and execute a three-dimensional ground stress monitoring method for carbon dioxide storage in the embodiment of the present disclosure;

[0132] Input / output interface 903, used to implement information input and output;

[0133] Communication interface 904, used to realize communication interaction between the device and other devices, which can be realized by wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.); and

[0134] A bus 905 that transmits information between various components of the device (e.g., the processor 901, the memory 902, the input / output interface 903, and the communication interface 904);

[0135] The processor 901 , the memory 902 , the input / output interface 903 and the communication interface 904 are connected to each other in communication within the device via a bus 905 .

[0136] The embodiment of the present disclosure also provides a storage medium, which is a computer-readable storage medium. The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the above-mentioned three-dimensional geostress monitoring method for carbon dioxide storage.

[0137] The embodiments of the present disclosure propose a three-dimensional geostress monitoring method and device for carbon dioxide sequestration. The method and device first obtain original geostress data of a target area, then obtain a target geostress numerical simulation calculation model based on the original geostress data, and then perform geostress monitoring processing on the target area based on the target geostress numerical simulation calculation model to obtain monitoring results. Finally, the monitoring results are evaluated to obtain an evaluation result of the target area. The technical solution provided by the embodiments of the present disclosure improves the accuracy of three-dimensional geostress monitoring in carbon dioxide sequestration.

[0138] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0139] The embodiments described in the embodiments of the present disclosure are intended to more clearly illustrate the technical solutions of the embodiments of the present disclosure and do not constitute a limitation on the technical solutions provided by the embodiments of the present disclosure. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of the present disclosure are also applicable to similar technical problems.

[0140] It can be understood by those skilled in the art that Figure 1-7 The technical solutions shown in the figure do not constitute a limitation on the embodiments of the present disclosure, and may include more or fewer steps than those shown in the figure, or a combination of certain steps, or different steps.

[0141] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0142] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0143] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0144] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0145] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0146] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0147] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0148] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0149] The preferred embodiments of the present disclosure are described above with reference to the accompanying drawings, but the scope of the rights of the present disclosure is not limited thereto. Any modification, equivalent substitution and improvement made by those skilled in the art without departing from the scope and essence of the present disclosure should be within the scope of the rights of the present disclosure.

Claims

1. A three-dimensional geostress monitoring method for carbon dioxide storage, characterized in that: include: Obtaining original geostress data of the target area; The original geostress data includes: stratum distribution data, geotectonic data, and wellbore data; the target area includes a carbon dioxide storage area; Obtaining a target geostress numerical simulation calculation model according to the original geostress data; Performing ground stress monitoring processing on the target area according to the target ground stress numerical simulation calculation model to obtain monitoring results; the monitoring results include stress-strain field data, displacement field data, and destruction damage field data; Evaluate the monitoring results to obtain evaluation results of the target area; the evaluation results include: carbon dioxide storage capacity data, carbon dioxide potential leakage risk data, carbon dioxide injection pressure data, carbon dioxide injection volume data, and carbon dioxide impact on formations and faults; The step of obtaining a target geostress numerical simulation calculation model according to the original geostress data comprises: Get input parameters; Obtaining an initial geostress numerical simulation calculation model according to the original geostress data; Performing parameter training on the initial geostress numerical simulation calculation model according to the input parameters to obtain the target geostress numerical simulation calculation model; The performing parameter training on the initial geostress numerical simulation calculation model according to the input parameters to obtain the target geostress numerical simulation calculation model includes: Inputting the input parameters into the initial geostress numerical simulation calculation model to obtain simulation output results; Observe the target area through a positioning system to obtain real-time observation results; Obtaining a target comparison result according to the simulation output result and the real-time observation result; Determine target parameters according to the target comparison result; Generate the target geostress numerical simulation calculation model according to the target parameters; The obtaining of the target comparison result according to the simulation output result and the real-time observation result includes: Obtaining an initial comparison result according to the simulation output result and the real-time observation result; Performing error correction on the initial comparison result to obtain the target comparison result; The real-time observation result includes observed displacement deformation data; the simulation output result includes simulated displacement deformation data; the initial comparison result includes a degree of fit; the initial comparison result obtained according to the simulation output result and the real-time observation result includes: Performing adaptive calculation within a preset displacement value range according to the big data particle swarm algorithm to obtain the simulated displacement deformation data; The degree of fit is obtained according to the observed displacement deformation data and the simulated displacement deformation data.

2. The method according to claim 1, characterized in that: The method of obtaining an initial geostress numerical simulation calculation model according to the original geostress data comprises: Constructing a three-dimensional geological geometric model according to the original geostress data; The three-dimensional geological geometric model is divided into unit grids to obtain the initial geostress numerical simulation calculation model.

3. The method according to claim 1 or 2, characterized in that: The step of evaluating the monitoring result to obtain an evaluation result of the target area includes: Obtaining surface data according to the monitoring results, wherein the surface data includes surface displacement data, fault data, and landslide displacement data; The impact degree is evaluated according to the surface data and the preset warning value to obtain the impact degree data of the carbon dioxide on the formation and fault; the warning value is the surface displacement data when the carbon dioxide leaks.

4. A three-dimensional ground stress monitoring device for carbon dioxide storage, characterized in that: include: The original geostress data acquisition module is used to acquire the original geostress data of the target area; The original geostress data includes: stratum distribution data, geotectonic data, and wellbore data; the target area includes a carbon dioxide storage area; A model generation module, used to obtain a target geostress numerical simulation calculation model according to the original geostress data; The step of obtaining a target geostress numerical simulation calculation model according to the original geostress data comprises: Get input parameters; Obtaining an initial geostress numerical simulation calculation model according to the original geostress data; Performing parameter training on the initial geostress numerical simulation calculation model according to the input parameters to obtain the target geostress numerical simulation calculation model; The performing parameter training on the initial geostress numerical simulation calculation model according to the input parameters to obtain the target geostress numerical simulation calculation model includes: Inputting the input parameters into the initial geostress numerical simulation calculation model to obtain simulation output results; Observe the target area through a positioning system to obtain real-time observation results; Obtaining a target comparison result according to the simulation output result and the real-time observation result; Determine target parameters according to the target comparison result; Generate the target geostress numerical simulation calculation model according to the target parameters; The obtaining of the target comparison result according to the simulation output result and the real-time observation result includes: Obtaining an initial comparison result according to the simulation output result and the real-time observation result; Performing error correction on the initial comparison result to obtain the target comparison result; The real-time observation result includes observed displacement deformation data; the simulation output result includes simulated displacement deformation data; the initial comparison result includes a degree of fit; the initial comparison result obtained according to the simulation output result and the real-time observation result includes: Performing adaptive calculation within a preset displacement value range according to the big data particle swarm algorithm to obtain the simulated displacement deformation data; Obtaining the degree of fit according to the observed displacement deformation data and the simulated displacement deformation data; A monitoring module, used to perform ground stress monitoring processing on the target area according to the target ground stress numerical simulation calculation model to obtain monitoring results; the monitoring results include stress-strain field data, displacement field data, and damage field data; An evaluation module is used to evaluate the monitoring results to obtain evaluation results of the target area; the evaluation results include: carbon dioxide storage capacity data, carbon dioxide potential leakage risk data, carbon dioxide injection pressure data, carbon dioxide injection volume data, and carbon dioxide impact on formations and faults.

5. An electronic device, characterized in that: include: at least one memory; at least one processor; at least one program; The program is stored in the memory, and the processor executes at least one of the programs to implement: The method according to any one of claims 1 to 3.

6. A storage medium, the storage medium being a computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to cause a computer to execute: The method according to any one of claims 1 to 3.

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