Carbon dioxide sequestration geological monitoring technology screening method based on coefficient reduction

Abstract

The invention relates to the field of greenhouse gas emission reduction environment management, and particularly discloses a coefficient reduction-based carbon dioxide sequestration geological monitoring technology screening method, which comprises the following steps of establishing a carbon dioxide sequestration monitoring technology list; carrying out fuzzy comprehensive evaluation based on analytic hierarchy process aiming at the monitoring technology in the carbon dioxide sequestration monitoring technology list to obtain a general score of the monitoring technology; based on the monitoring demand, the site condition and the engineering condition of the to-be-monitored project, calculating a project specificity score of the monitoring technology by using a reduction coefficient method; calculating the application score of the monitoring technology in the site by using the general score and the project specificity score of the monitoring technology; and screening and sorting the application scores of different monitoring technologies in the site to obtain an optimal monitoring technology. The method can be used for preliminary screening and sorting of specific carbon sequestration project monitoring technologies, and a monitoring technology combination which is low in cost, high in benefit and high in adaptability is obtained.

Description

Technical Field

[0001] The present application relates to the field of greenhouse gas emission reduction environmental management, and in particular to a method for screening carbon dioxide storage geological monitoring technology based on coefficient reduction. Background Art

[0002] Geological storage of carbon dioxide is an industrial process that injects carbon dioxide into the ground to isolate it from the atmosphere for a long time and / or generate ancillary benefits. It is of great significance for building a zero-carbon energy system, promoting low-carbon industry, and providing negative carbon solutions.

[0003] In the process of geological storage of carbon dioxide, geological monitoring is an effective means of carbon accounting and environmental risk management. Although my country has carried out demonstration and application of carbon storage, there is still a lack of systematic methods in the screening of monitoring technologies. Therefore, combining the characteristics of the technology itself and its adaptability to the project, the monitoring technology is sorted and screened to obtain a high-performance, low-cost technology combination, which will provide reliable technical support for the large-scale utilization of carbon storage. Summary of the invention

[0004] In order to evaluate, screen and rank various monitoring technologies for carbon dioxide storage and obtain low-cost, high-performance and highly feasible monitoring technologies, the present application provides a method for screening geological monitoring technologies for carbon dioxide storage based on coefficient reduction.

[0005] The present application provides a method for screening carbon dioxide storage geological monitoring technology based on coefficient reduction, which adopts the following technical solution: A method for screening carbon dioxide storage geological monitoring technology based on coefficient reduction comprises the following steps: Establish an inventory of CO2 storage monitoring technologies; Carry out fuzzy comprehensive evaluation based on hierarchical analysis for the monitoring technologies in the CO2 storage monitoring technology list to obtain general scores for the monitoring technologies; Based on the monitoring requirements, site conditions and engineering conditions of the project to be monitored, the project-specific score of the monitoring technology is calculated using the reduction coefficient method; The application score of the monitoring technology at the site is calculated based on the general score and project-specific score of the monitoring technology; The application scores of different monitoring technologies on site are screened and ranked to obtain the preferred monitoring technology.

[0006] Furthermore, the monitoring technologies in the carbon dioxide storage monitoring technology list include a variety of characteristic elements, including monitoring purpose, technology maturity, coverage, reliability, accuracy, frequency, dimension, unit cost and time required to obtain data; the monitoring purposes include storage volume monitoring, sealing monitoring, consistency monitoring, injectability monitoring and closure monitoring.

[0007] Further, the method for obtaining a general score of the monitoring technology comprises the following steps: Establishing a hierarchical indicator system, wherein the hierarchical indicator system adopts a hierarchical structure, including a target layer, a criterion layer and an indicator layer; the criterion layer includes a benefit layer and a cost layer, each of which includes a plurality of indicators, and all indicators constitute the indicator layer; For a certain monitoring technology, each indicator in the benefit layer is compared with each other and an importance comparison matrix is ​​established. Each indicator in the cost layer is compared with each other and an importance comparison matrix is ​​established. After the consistency test of the importance comparison matrix, the weight W of each indicator is calculated. m , where m is the indicator number; For a certain indicator, different monitoring technologies are compared pairwise and an advantage comparison matrix is ​​established. After the consistency test of the advantage comparison matrix, the score A of the indicator in different monitoring technologies is calculated. i , where i is the monitoring technology number; Calculate the generality score F of monitoring technology i i :F i =ΣW m ×A i .

[0008] Furthermore, the indicators under the benefit layer include the number of monitoring purposes, technical maturity, coverage, reliability, accuracy, frequency and dimension, and the indicators under the cost layer include total cost and time required to obtain data.

[0009] Further, the method for calculating the project-specific score of the monitoring technology using the reduction coefficient method includes the following steps: Calculate the demand coefficient: assign values ​​to the demand for each monitoring purpose according to the degree of demand for different monitoring purposes of the project to be monitored; calculate the sum of the assigned values ​​that a certain monitoring technology meets the monitoring purpose requirements of the project, and obtain the demand coefficient of the monitoring technology after normalization; Calculate the site condition adaptability coefficient: assign values ​​to the applicability of the monitoring technology to different site conditions based on the applicability of the monitoring technology to different site conditions and the application of the monitoring technology to similar site conditions; calculate the sum of the applicability values ​​assigned to the monitoring technology in all site conditions, and obtain the site condition adaptability coefficient of the monitoring technology after normalization; Calculation of CO 2 Identification coefficient: Based on whether the monitoring technology meets the requirements of CO 2 The resolution and coverage requirements of plume distribution monitoring are used to assign values ​​to the applicability of the monitoring technology and obtain the CO 2 Identifiability coefficient; Calculate the project-specific score based on the monitoring technology demand factor, site condition adaptability factor and CO 2 The identifiability coefficient is used to calculate the item-specific score of the monitoring technology.

[0010] Further, the method for calculating the demand coefficient includes the following steps: Assign values ​​to each monitoring objective according to the degree of demand for different monitoring objectives for the project to be monitored; Calculate the total score of a monitoring technology to meet the monitoring purpose of the project , where j is the monitoring purpose number, represents the demand score of monitoring purpose j, and n is the total number of monitoring purposes; The demand factor X of monitoring technology i i The calculation formula is:

[0011] Where i is the monitoring technology number, j is the monitoring purpose number, It represents the score of monitoring technology i in meeting monitoring objective j, and n represents the total number of monitoring objectives.

[0012] Furthermore, the method for calculating the site condition adaptation coefficient includes the following steps: According to the applicability of the monitoring technology to different site conditions, the applicability of the monitoring technology to different site conditions is assigned; Site condition adaptability coefficient D of monitoring technology i i The calculation formula is:

[0013] Where i is the monitoring technology number, j is the site condition number, represents the applicability score of monitoring technology i in site condition j, and n is the total number of site conditions.

[0014] Furthermore, the CO 2 The method of identifying the coefficient is as follows: according to whether the monitoring technology meets the requirements of CO 2 The resolution and coverage requirements of plume distribution monitoring are used to assign a value to the applicability of the monitoring technology. The applicability assignment is the CO 2 The coefficient Ci can be identified.

[0015] Furthermore, the item-specific score T of monitoring technology i i The calculation formula is T i =X i ×D i ×C i .

[0016] Furthermore, the application score of monitoring technology in the site is S i The calculation formula is S i =F i ×T i .

[0017] In summary, the present application includes at least one of the following beneficial technical effects: 1. This application uses the analytic hierarchy process to establish a hierarchical index system to evaluate the general nature of monitoring technology from the perspectives of cost and benefit, which is conducive to deepening the understanding of monitoring technology; 2. This application conducts an adaptability assessment of the application of the technology in the project to be monitored based on the purpose, site conditions, and project conditions, and conducts a comprehensive assessment based on the general characteristics of the technology. It can be used for the preliminary screening and sorting of monitoring technologies for specific carbon storage projects, and obtain a low-cost, high-efficiency, and highly adaptable monitoring technology combination; 3. The results of this application on the screening method of carbon dioxide storage monitoring technology based on hierarchical analysis and coefficient reduction can provide ideas for future carbon storage accounting and risk assessment, and provide guidance for the implementation of enterprise projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a flow chart of an embodiment of the present application; Figure 2 It is the method implementation route in the embodiment of the present application; Figure 3 is a schematic diagram of a hierarchical index system in an embodiment of the present application; Figure 4 It is a general score result diagram of the monitoring technology under different scenarios in the embodiments of the present application. DETAILED DESCRIPTION

[0019] The following is combined with Figure 1-4 This application is described in further detail.

[0020] The present application embodiment discloses a method for screening carbon dioxide storage geological monitoring technology based on coefficient reduction. Figure 1 and Figure 2 The screening method of carbon dioxide storage geological monitoring technology based on coefficient reduction includes the following steps: S1. Establish a list of CO2 storage monitoring technologies; Specifically, the monitoring technologies in the carbon dioxide storage monitoring technology list include: injection wells, observation wells, observation wells, groundwater observation wells, cement ring recording, time-lapse ultrasonic casing imaging, time-lapse electromagnetic emission casing imaging, time-lapse multi-wall caliper, ring pressure monitoring, injection rate measurement, wellhead pressure and temperature gauge, operation integrity assurance system, bottom hole pressure and temperature gauge, mechanical wellbore integrity pressure test, wellhead CO2 Detector, tracer injection, gamma logging, time-lapse saturation logging, time-lapse temperature logging, time-lapse circulation noise logging, time-lapse density logging, time-lapse acoustic logging, fiber-optic distributed temperature logging, fiber-optic distributed pressure logging, real-time casing imaging, fiber-optic distributed acoustic logging, pressure interference test, pressure drop test, water chemistry monitoring, bottom hole conductivity monitoring, bottom hole pH monitoring, artificial tracer monitoring, natural tracer monitoring, U-tube fluid sampling, isotope fluid sampling, groundwater gas composition analysis, soil CO 2 Gas flux detection, soil gas concentration monitoring, soil pH survey, soil salinity survey, time-lapse vertical seismic profile, time-lapse three-dimensional surface seismic, time-lapse two-dimensional surface seismic, time-lapse interwell seismic, surface microseismic monitoring, bottom hole microseismic monitoring, time-lapse surface microgravity survey, time-lapse bottom hole microgravity survey, time-lapse surface controlled source electromagnetic emission, magnetotelluric method, time-lapse interwell controlled source electromagnetic emission, InSAR synthetic aperture radar interferometry measurement technology, GPS global positioning system, surface inclinometer, bottom hole inclinometer, double differential absorption lidar, linear counter-propagation gas flux measurement, atmospheric eddy correlation method, airborne infrared laser gas analyzer, handheld infrared laser gas analyzer, satellite, airborne multispectral imaging analyzer, ecosystem research.

[0021] Furthermore, the monitoring technologies in the carbon dioxide storage monitoring technology list include a variety of characteristic elements, including monitoring purpose, technology maturity, coverage, reliability, accuracy, frequency, dimension, unit cost and time required to obtain data; specifically, the monitoring purposes include storage volume monitoring, sealing monitoring, consistency monitoring, injectability monitoring and closure monitoring.

[0022] Among them, storage volume monitoring includes monitoring the injection pressure of each well, monitoring the injection rate of each well, monitoring the injection volume of each well, and monitoring the total injection volume.

[0023] Leakage monitoring including monitoring of CO 2 or saltwater migration along abandoned wells, monitoring CO 2 or salt water migration along monitoring wells, monitoring CO 2 or salt water migration along injection wells, monitoring CO 2 or saltwater migration along simulated pathways, monitoring CO 2 or saltwater migration along fault paths, monitoring fault activation, monitoring fracture activation, monitoring third-party activities leading to CO 2 or the migration of salt water.

[0024] Compliance monitoring includes monitoring CO 2 Migration in reservoirs and monitoring of pressure migration in reservoirs.

[0025] Injectability monitoring includes monitoring the injection pressure of each well and monitoring the injection rate of each well.

[0026] Closed monitoring including CO 2 Migration changes, monitoring CO 2 Will it leak into seawater? Monitor CO 2 Effects on seawater properties, CO 2 Impacts on marine biomes.

[0027] The list of carbon dioxide storage monitoring technologies established in this embodiment is shown in Table 1, where "√" indicates that the monitoring technology can meet the corresponding monitoring purpose. Table 1 only selects some monitoring technologies (time-lapse three-dimensional surface seismic, time-lapse two-dimensional surface seismic, time-lapse vertical seismic profile, bottom hole microseismic monitoring, time-lapse surface microgravity survey, time-lapse surface controlled source electromagnetic emission) as application descriptions of the methods, and does not include all monitoring technologies.

[0028] Table 1 Monitoring technology list (partial)

[0029] S2. Carry out fuzzy comprehensive evaluation based on hierarchical analysis for the monitoring technologies in the list of carbon dioxide storage monitoring technologies to obtain general scores for the monitoring technologies, as follows: S2-1. Establish a hierarchical indicator system; like Figure 3 As shown in the figure, the hierarchical indicator system adopts a recursive hierarchical structure, including a target layer, a criterion layer and an indicator layer; among them, the criterion layer includes a benefit layer and a cost layer, each of which contains multiple indicators, and all indicators constitute the indicator layer; specifically, the indicators under the benefit layer include the number of monitoring objectives, technical maturity, coverage, reliability, accuracy, frequency and dimension, and the indicators under the cost layer include the total cost and the time required to obtain data.

[0030] S2-2. For a certain monitoring technology, the costs and benefits in the criterion layer are compared pairwise and an importance comparison matrix is ​​established. The indicators in the benefit layer are compared pairwise and an importance comparison matrix is ​​established. The indicators in the cost layer are compared pairwise and an importance comparison matrix is ​​established. After the consistency check of the importance comparison matrix, the maximum eigenvalue and the corresponding eigenvector of the importance comparison matrix are calculated. The obtained eigenvectors are normalized by column to obtain the weight W of each indicator. m , where m is the indicator number; the specific method is as follows: The importance comparison adopts Saaty's 1-9 scale method, as shown in Table 2: Table 2 1-9 scale importance reference table

[0031] For the criterion layer, as shown in Table 3, different scenarios for evaluation can be designed according to different importance, such as benefit priority scenario (X=1 / 9), cost priority scenario (X=9), and cost-benefit balance scenario (X=1).

[0032] Table 3 Criteria layer importance comparison matrix

[0033] Taking the various indicators under the benefit layer as an example, the importance comparison matrix established is shown in Table 4: Table 4 Comparison matrix of importance of benefit layer

[0034] The method for consistency test of importance comparison matrix is ​​as follows: Calculate consistency index ,in, is the maximum eigenvalue of the importance comparison matrix, and n is the number of evaluation indicators; Find the corresponding average random consistency index RI (Table 5): Table 5 Average random consistency index RI

[0035] Calculate the consistency ratio ,if <0.1, the consistency of the importance comparison matrix is ​​considered acceptable; otherwise, the importance comparison matrix needs to be revised.

[0036] The consistency test of the importance comparison matrix of each indicator under the benefit layer in Table 4 is carried out to calculate λ max =7.2327, CR=0.0285<0.1, the consistency test is acceptable.

[0037] Calculate the maximum eigenvalue and corresponding eigenvector of the importance comparison matrix of each indicator under the benefit layer in Table 4, normalize the obtained eigenvector by column, and obtain the weight W of each indicator m , as shown in Table 6: Table 6 Weights of indicators under the benefit layer W m

[0038] S2-3. For a certain indicator, compare different monitoring technologies in pairs and establish an advantage comparison matrix. After consistency test of the advantage comparison matrix, calculate the score of the indicator in different monitoring technologies. i , where i is the monitoring technology number; the specific method is as follows: Taking the monitoring purpose quantity indicator as an example, the superiority of different monitoring technologies on this indicator is judged, as shown in Table 7, using Saaty's 1-9 scale method: Table 7 Advantage comparison matrix of monitoring purpose quantity indicators

[0039] Calculate λ max =6.5074, CR=0.0805<0.1, which meets the consistency test.

[0040] Calculate the maximum eigenvalue and corresponding eigenvector of the advantage comparison matrix of the monitoring purpose quantity indicators in Table 7, normalize the obtained eigenvectors by column, and obtain the scores A of the monitoring purpose quantity indicators in different monitoring technologies. i , as shown in Table 8: Table 8 Scores of monitoring purpose quantity indicators in different monitoring technologies A i

[0041] S2-4. Calculate the general score F of monitoring technology i i :F i =ΣW m ×A i , Figure 4 The general scores of each monitoring technology under three scenarios: benefit priority, cost priority, and benefit-cost balance are shown.

[0042] S3. Based on the monitoring requirements, site conditions and engineering conditions of the project to be monitored, the project-specific score of the monitoring technology is calculated using the reduction coefficient method, as follows: S3-1. Calculate the demand coefficient: S3-1-1. Assign values ​​of 1-5 to the needs of different monitoring purposes according to the degree of need of the monitored project from low to high; S3-1-2. Calculate the total score of a monitoring technology in meeting the monitoring requirements of the project , where j is the monitoring purpose number, represents the demand score of monitoring purpose j, and n is the total number of monitoring purposes; S3-1-3, after normalization, the demand coefficient X of the monitoring technology is obtained i :

[0043] Where i is the monitoring technology number, j is the monitoring purpose number, It represents the score of monitoring technology i in meeting monitoring objective j, and n represents the total number of monitoring objectives.

[0044] The calculation results of demand coefficient are shown in Table 9: Table 9 Demand coefficient calculation table

[0045] Note: Monitoring requirements are assigned values ​​from 1 to 5 from low to high, 1-very low, 2-low; 3-medium; 4-high; 5-very high.

[0046] S3-2. Calculate the site condition adaptability coefficient: S3-2-1. Based on the applicability of the monitoring technology to different site conditions and the application of the monitoring technology to similar site conditions, the applicability of the monitoring technology to different site conditions is assigned as follows: When the site conditions do not meet the applicability requirements of the monitoring technology, the applicability of the monitoring technology to the site conditions is assigned a value of 0; when the site conditions meet the applicability requirements of the monitoring technology, the applicability of the monitoring technology to the site conditions is assigned a value of 1.

[0047] When judging whether the site conditions meet the applicable requirements of the monitoring technology, the similar case comparison method can be used. If the monitoring technology has been applied to similar site conditions and the effect is good, the site conditions are considered to meet the applicable requirements of the monitoring technology, and the applicability of the monitoring technology to the site conditions is assigned a value of 1.

[0048] S3-2-2. Calculate the sum of the applicability values ​​of the monitoring technology under all site conditions and normalize it to obtain the site condition adaptability coefficient D of the monitoring technology. i :

[0049] Where i is the monitoring technology number, j is the site condition number, represents the applicability score of monitoring technology i in site condition j, and n is the total number of site conditions.

[0050] In this embodiment, n=12, and the 12 site conditions include: onshore / offshore, topography, land use type, seawater depth, reservoir depth, thickness, chemical characteristics, porosity, permeability, formation pressure, overlying formation characteristics, and fault characteristics.

[0051] The site condition adaptability coefficient D of different monitoring technologies is calculated i The scores are shown in Table 10: Table 10 Site condition adaptability coefficient D of different monitoring technologies i Score

[0052] S3-3. Calculation of CO 2 Identifiable coefficient: According to whether the monitoring technology meets the requirements of CO 2 The resolution requirements and coverage requirements of plume distribution monitoring are used to assign values ​​to the applicability of the monitoring technology, as follows: When the monitoring technology meets the requirements of CO 2 Resolution requirements and coverage requirements for plume distribution monitoring, the applicability of the monitoring technology is assigned a value of 1 (applicable); When the monitoring technology meets the CO 2 The resolution or coverage requirements of plume distribution monitoring are assigned a suitability value of 0.5 (partially applicable); When the monitoring technology does not meet the requirements of CO 2 Resolution requirements and coverage requirements for plume distribution monitoring, the applicability of this monitoring technology is assigned a value of 0 (not applicable); The applicability value is the CO 2 The coefficient Ci can be identified.

[0053] Taking a small-scale pilot monitoring project as an example, the full life cycle CO 2 The maximum swept range radius of the plume plane is about 2 km, and the vertical thickness is about 5 meters. Based on this, the CO 2 Identification coefficient C i , as shown in Table 11.

[0054] Table 11 CO 2 Identification coefficient

[0055] S3-4. Calculate the project-specific score: Based on the demand coefficient X of the monitoring technology i , Site condition adaptability coefficient D i and CO 2 Identification coefficient C i , calculate the project-specific score T of the monitoring technology i , the calculation formula is T i =X i ×D i ×C i .

[0056] In this embodiment, the project specificity score T of each monitoring technology is i As shown in Table 12: Table 12 Project specificity score of each monitoring technology T i calculate

[0057] S4. General score based on monitoring technology Fi and item-specific score T i Calculate the application score S of the monitoring technology in the site i , the calculation formula is S i =F i ×T i .

[0058] In this embodiment, the application score S of each monitoring technology in the site i As shown in Table 13: Table 13 Application score of each monitoring technology in the site i

[0059] S5. Screen and sort the application scores of different monitoring technologies at the site, as shown in Table 14, to obtain the preferred monitoring technology.

[0060] Table 14 Ranking of application scores of different monitoring technologies in sites

[0061] Based on the above ranking, it can be concluded that in the scenarios of benefit priority, cost priority and benefit-cost balance, time-lapse three-dimensional surface seismic, time-lapse two-dimensional surface seismic, and time-lapse surface controlled source electromagnetic emission are ranked higher and are the preferred monitoring technologies.

[0062] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for screening carbon dioxide storage geological monitoring technology based on coefficient reduction, characterized in that: The following steps are involved: Establish an inventory of CO2 storage monitoring technologies; Carry out fuzzy comprehensive evaluation based on hierarchical analysis for the monitoring technologies in the CO2 storage monitoring technology list to obtain general scores for the monitoring technologies; Based on the monitoring requirements, site conditions and engineering conditions of the project to be monitored, the project-specific score of the monitoring technology is calculated using the reduction coefficient method; The application score of the monitoring technology at the site is calculated based on the general score and project-specific score of the monitoring technology; The application scores of different monitoring technologies on site are screened and ranked to obtain the preferred monitoring technology.

2. The method for screening carbon dioxide storage geological monitoring technologies based on coefficient reduction according to claim 1, characterized in that: The monitoring technologies in the carbon dioxide storage monitoring technology list include a variety of characteristic elements, including monitoring purpose, technology maturity, coverage, reliability, accuracy, frequency, dimension, unit cost and time required to obtain data; the monitoring purposes include storage volume monitoring, sealing monitoring, consistency monitoring, injectability monitoring and closure monitoring.

3. The method for screening carbon dioxide storage geological monitoring technology based on coefficient reduction according to claim 1, characterized in that: The method for obtaining a general rating of monitoring technology includes the following steps: Establishing a hierarchical indicator system, wherein the hierarchical indicator system adopts a hierarchical structure, including a target layer, a criterion layer and an indicator layer; the criterion layer includes a benefit layer and a cost layer, each of which includes a plurality of indicators, and all indicators constitute the indicator layer; For a certain monitoring technology, each indicator in the benefit layer is compared with each other and an importance comparison matrix is ​​established. Each indicator in the cost layer is compared with each other and an importance comparison matrix is ​​established. After the consistency test of the importance comparison matrix, the weight W of each indicator is calculated. m , where m is the indicator number; For a certain indicator, different monitoring technologies are compared pairwise and an advantage comparison matrix is ​​established. After the consistency test of the advantage comparison matrix, the score A of the indicator in different monitoring technologies is calculated. i , where i is the monitoring technology number; Calculate the generality score F of monitoring technology i i : F i =ΣW m ×A i .

4. The method for screening carbon dioxide storage geological monitoring technologies based on coefficient reduction according to claim 3 is characterized in that: The indicators under the benefit layer include the number of monitoring purposes, technical maturity, coverage, reliability, accuracy, frequency and dimension; the indicators under the cost layer include total cost and time required to obtain data.

5. The method for screening carbon dioxide storage geological monitoring technologies based on coefficient reduction according to claim 4, characterized in that: The method for calculating the item-specific score of a monitoring technology using the reduction factor method includes the following steps: Calculate the demand coefficient: assign values ​​to the demand for each monitoring purpose according to the degree of demand for different monitoring purposes of the project to be monitored; calculate the sum of the assigned values ​​that a certain monitoring technology meets the monitoring purpose requirements of the project, and obtain the demand coefficient of the monitoring technology after normalization; Calculate the site condition adaptability coefficient: assign values ​​to the applicability of the monitoring technology to different site conditions based on the applicability of the monitoring technology to different site conditions and the application of the monitoring technology to similar site conditions; calculate the sum of the applicability values ​​assigned to the monitoring technology in all site conditions, and obtain the site condition adaptability coefficient of the monitoring technology after normalization; Calculate the CO2 identifiability coefficient: assign a value to the applicability of the monitoring technology based on whether it meets the requirements of resolution and coverage of CO2 plume distribution monitoring in the project to be monitored, and obtain the CO2 identifiability coefficient of the monitoring technology; Calculate the project-specific score: Calculate the project-specific score of the monitoring technology based on the monitoring technology's demand coefficient, site condition adaptability coefficient, and CO2 identifiability coefficient.

6. The method for screening carbon dioxide storage geological monitoring technologies based on coefficient reduction according to claim 5, characterized in that: The method for calculating the demand factor includes the following steps: According to the degree of demand for different monitoring purposes of the project to be monitored, the demand for each monitoring purpose is assigned a value; Calculate the total score of a monitoring technology to meet the monitoring purpose of the project , where j is the monitoring purpose number, represents the demand score of monitoring purpose j, and n is the total number of monitoring purposes; Demand coefficient X for monitoring technology i i The calculation formula is: Where i is the monitoring technology number, j is the monitoring purpose number, It represents the score of monitoring technology i in meeting monitoring objective j, and n represents the total number of monitoring objectives.

7. The method for screening carbon dioxide storage geological monitoring technologies based on coefficient reduction according to claim 6, characterized in that: The method for calculating the site condition adaptation coefficient includes the following steps: According to the applicability of the monitoring technology to different site conditions, the applicability of the monitoring technology to different site conditions is assigned; Site condition adaptability coefficient D of monitoring technology i i The calculation formula is: Where i is the monitoring technology number, j is the site condition number, represents the applicability score of monitoring technology i in site condition j, and n is the total number of site conditions.

8. The method for screening carbon dioxide storage geological monitoring technologies based on coefficient reduction according to claim 7, characterized in that: The method for calculating the CO2 identifiability coefficient is as follows: according to whether the monitoring technology meets the resolution requirements and coverage requirements of the CO2 plume distribution monitoring in the monitored project, the applicability of the monitoring technology is assigned a value, and the applicability assignment is the CO2 identifiability coefficient C of the monitoring technology. i .

9. The method for screening carbon dioxide storage geological monitoring technologies based on coefficient reduction according to claim 8, characterized in that: Item-specific score T for monitoring technology i i The calculation formula is T i =X i ×D i ×C i .

10. The method for screening carbon dioxide storage geological monitoring technologies based on coefficient reduction according to claim 9, characterized in that: Application score of monitoring technology in the site S i The calculation formula is S i =F i ×T i .

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