Method for intelligently screening anticlinal traps in geological storage of carbon dioxide

By establishing a full -layer model and calculating the number of storage parameters of the back sloping ring closure, the problem that is difficult to screen and site in the existing technologies that are difficult to screen and locate are suitable for carbon dioxide geology. Understanding.

CN119337548APending Publication Date: 2025-01-21CHINA PETROLEUM & CHEMICAL CORP +1
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Patent Information

Application Number
CN202310899543.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-07-20
Publication Date
2025-01-21

AI Technical Summary

Technical Problem

The prior art is difficult to effectively screen and select anticline traps suitable for carbon dioxide geological storage, and there is a lack of quantitative methods to characterize structural storage parameters.

Method used

By establishing a full -layer model, the number, boundary, and closedness of the back oblique circulation is determined, and the number of parameters of the key representation of the back sloping structure sealing mechanism is calculated, and intelligent screening and scores are used to determine the overall score of the site of carbon dioxide geological sealing according to these parameters.

Benefits of technology

It achieves rapid evaluation of carbon dioxide geological storage and understanding of potential risks, provides an intelligent method to screen and site anticlinal traps, and improves the objectivity and accuracy of site selection.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a method for intelligently screening an anticlinal trap in carbon dioxide geological sequestration, and the method comprises the steps: building a full-stratum model containing the vertical and plane range of the carbon dioxide geological sequestration for a target region; determining the number of anticlinal traps in the target area, the trap boundary of each anticlinal trap and the trap closure degree of each anticlinal trap based on the full-stratum model; calculating the score of the key characterization parameter of the anticline structure storage mechanism corresponding to each anticline trap through the trap boundary and the trap closure degree; and according to the score of the key characterization parameter, through an anticlinal trap suitability model, calculating to obtain a carbon dioxide geological storage suitability score corresponding to each anticlinal trap so as to determine a site selection comprehensive score. According to the method, the tectonic sequestration mechanism in carbon dioxide geological sequestration can be established by applying the anticlinal trap typical model, and the tectonic sequestration mechanism and important parameters suitable for carbon dioxide geological sequestration are clarified.
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Description

Technical Field

[0001] The present invention relates to the technical field of oil reservoir simulation in the field of carbon dioxide geological storage, and in particular to a method for intelligently screening anticline traps in carbon dioxide geological storage. Background Art

[0002] The site selection for carbon dioxide geological storage is an important step in the CCUS (Carbon Capture, Utilization and Storage) project. The carbon dioxide geological storage mechanism mainly includes structure, dissolution, capillary pressure and mineralization. Among them, structural storage is the largest type of storage mechanism, and anticline structure is the most important type of structural storage. The objective rationality of site selection is directly related to the overall evaluation and investment of the project, and its importance is similar to the screening and evaluation of oil and gas reservoirs.

[0003] However, in the past exploration and development process, the research on structural storage has mostly focused on qualitative research. There is currently no good method to quantitatively characterize the main influencing factors and these parameters, which has also restricted the site selection method for geological storage of carbon dioxide in anticline reservoirs.

[0004] In view of the problems of the prior art, the present invention provides a method for intelligently screening anticline traps in carbon dioxide geological storage. Summary of the invention

[0005] In order to overcome the defects of the prior art, the present invention provides a method for intelligently screening anticline traps in carbon dioxide geological storage, the method comprising:

[0006] For the target area, establish a full-stratum model that includes the vertical and horizontal range of CO2 geological storage;

[0007] Based on the full stratigraphic model, determining the number of anticline traps in the target area, the trap boundary of each anticline trap, and the trap closure degree of each anticline trap;

[0008] The scores of key characterization parameters of the anticline structural sealing mechanism corresponding to each anticline trap are calculated based on the trap boundary and trap closure degree;

[0009] According to the scores of key characterization parameters, the suitability score of carbon dioxide geological storage corresponding to each anticline trap is calculated through the anticline trap suitability model to determine the comprehensive site selection score.

[0010] According to one embodiment of the present invention, the full formation model is established by the following steps:

[0011] Determining the plane range of the full formation model according to the distribution of traps in the target area in the plane direction;

[0012] Determining the vertical range of the full formation model according to the distribution of oil strata in the target area in the vertical direction;

[0013] In order to accurately describe the geological storage of carbon dioxide, the grid coarseness of the cap rock and the reservoir of the full formation model is determined, and the total number of grids of the full formation model is determined.

[0014] According to one embodiment of the present invention, the number of anticline traps and the trap boundary of each anticline trap are determined by the following steps:

[0015] Determine a suitable carbon dioxide storage reservoir based on the full stratigraphic model, determine an oil group or sand group suitable for carbon dioxide geological storage, and determine the number of anticline traps in the target area according to the oil group or sand group;

[0016] For a certain anticline trap, determine the caprock thickness and interlayer frequency to determine the vertical boundary of the anticline trap;

[0017] For a certain anticline trap, the overflow point is determined, and the plane boundary of the anticline trap is determined based on the contour lines of the overflow point.

[0018] According to one embodiment of the present invention, the trap closure degree of each anticline trap is determined by the following steps:

[0019] For a certain anticline trap, determine the intersection of the range of the anticline trap and the entire sea level. The vertical distance from the sea level to the top of the anticline trap is the trap closure degree of the anticline trap.

[0020] According to one embodiment of the present invention, the key characterization parameters of the anticline structure sealing mechanism are determined by the following steps:

[0021] Establishing a grid model of a typical anticline trap, and determining a fluid model in the grid model based on an oil-water interface and an oil-gas interface, so as to construct a typical model of the anticline trap;

[0022] According to the typical model of anticline trap, geological storage parameters are set to obtain typical models of anticline traps with different structures;

[0023] By conducting a comparative study of numerical simulations of typical models of anticline traps in different structures under the same injection-production conditions, the key characterization parameters of the anticline structural sealing mechanism are clarified.

[0024] According to an embodiment of the present invention, the key characterization parameters include but are not limited to: area, thickness, and inclination angle.

[0025] According to one embodiment of the present invention, the comprehensive site selection score of each anticline trap is determined by the following steps:

[0026] Based on the score of the single key characterization parameter, the weight of the single key characterization parameter, and the weight of the criterion layer, the suitability score of carbon dioxide geological storage corresponding to each anticline trap is calculated through the anticline trap suitability model;

[0027] Based on the suitability score and combined with comprehensive evaluation criteria, a comprehensive score for the carbon dioxide geological storage site selection corresponding to each anticline trap is determined.

[0028] According to one embodiment of the present invention, the anticline trap suitability model comprises:

[0029]

[0030] Where: Y is the suitability score; C i is the score of a single key characterization parameter; W i is the weight of a single key characterization parameter; B j is the criterion layer weight; i and j are the number of key characterization parameters and the number of criterion indicators respectively.

[0031] According to another aspect of the present invention, a storage medium is provided, which contains a series of instructions for executing the method steps as described in any one of the above.

[0032] According to another aspect of the present invention, there is also provided a device for intelligently screening anticline traps in carbon dioxide geological storage, which performs the method described in any one of the above items, and the device comprises:

[0033] A full-stratum model module, which is used to establish a full-stratum model covering the vertical and horizontal range of CO2 geological storage for the target area;

[0034] A boundary and closure module, which is used to determine the number of anticline traps in the target area, the trap boundary of each anticline trap and the trap closure of each anticline trap based on the full stratigraphic model;

[0035] A key characterization parameter module is used to calculate the score of the key characterization parameters of the anticline structural sealing mechanism corresponding to each anticline trap through the trap boundary and the trap closure degree;

[0036] The comprehensive scoring module is used to calculate the carbon dioxide geological storage suitability score corresponding to each anticline trap based on the scores of key characterization parameters through the anticline trap suitability model to determine the comprehensive site selection score.

[0037] The present invention provides a method for intelligently screening anticline traps in carbon dioxide geological storage, which has the following advantages over the prior art:

[0038] The present invention can apply typical models to establish the structural storage mechanism in carbon dioxide geological storage, clarify the structural storage mechanism and important parameters suitable for carbon dioxide geological storage, and use intelligent methods based on the full-stratum model to quickly evaluate and classify the closure types, and screen out effective closure types suitable for carbon dioxide geological storage. In this way, not only can the rapid evaluation of carbon dioxide geological storage be achieved, but also the potential risks of carbon dioxide geological storage can be understood, which is of great significance to the carbon dioxide geological storage demonstration project.

[0039] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0041] Figure 1 A flowchart of a method for intelligently screening anticline traps in geological storage of carbon dioxide according to an embodiment of the present invention is shown;

[0042] Figure 2 A schematic diagram of trap closure and structural amplitude according to an embodiment of the present invention is shown;

[0043] Figure 3 A schematic diagram of anticline trap screening process according to an embodiment of the present invention is shown;

[0044] Figure 4 A full formation model and a schematic diagram of an oil group according to an embodiment of the present invention are shown;

[0045] Figure 5 A schematic diagram of anticline trap thickness according to one embodiment of the present invention is shown;

[0046] Figure 6 A schematic diagram of trap screening contours according to an embodiment of the present invention is shown;

[0047] Figure 7 A schematic diagram of anticline trap extraction according to an embodiment of the present invention is shown.

[0048] In the accompanying drawings, the same reference numerals are used for the same components. In addition, the accompanying drawings are not drawn according to the actual scale. DETAILED DESCRIPTION

[0049] To make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings.

[0050] The prior art (CN103527186B) provides a method for evaluating CO2 geological storage bodies based on geological evaluation marks and logging response characteristics, and a method for evaluating the sealing capacity of CO2 storage bodies using oil and gas field reservoirs as CO2 storage bodies in the middle and late stages of oil and gas field development. Taking into account the shortcomings and existing problems in the background technology, based on in-depth geological research on the storage body, a series of geological evaluation marks are established based on the differences between reservoirs and caprocks, and corresponded to the logging response characteristics, so as to solve the above-mentioned problems in CO2 storage evaluation within the scope of oil field distribution. The technical methods involved mainly include: (1) studying various geological evaluation mark parameters of the reservoir and caprock of the geological storage body; (2) establishing the corresponding relationship between geological evaluation marks and logging response characteristics; (3) analyzing the main differences in lithology and physical properties of the reservoir and caprock and their causes; (4) establishing technical standards and technical methods for evaluating CO2 geological storage bodies in a certain oil field.

[0051] The prior art (CN103544361A) provides an evaluation method for the geological storage potential of CO2 in oil and gas field development. In view of the shortcomings of the existing methods in the background technology, the entire dynamic process of CO2 geological storage is fully considered, involving the comprehensive geological evaluation of the storage body before CO2 injection, the fluid trend analysis during the CO2 injection process, and the leakage risk assessment after the CO2 injection is completed. A method is proposed to use the principle of oil and gas reservoir description to finely characterize the geological characteristics and closure conditions of the underground storage body; based on the oil and gas migration and accumulation theory, the filling, migration and storage process of CO2 fluid is discussed; with the help of surface CO2 monitoring results, the loss of CO2 is revealed.

[0052] However, the above-mentioned prior art cannot intelligently extract anticline traps in the process of carbon dioxide geological storage, and cannot realize automatic extraction of anticline traps for carbon dioxide geological storage site selection. The present invention focuses on the anticline structure storage mechanism in carbon dioxide geological storage, uses the typical model of anticline traps and the full formation model, and studies the intelligent screening and rapid classification evaluation method suitable for carbon dioxide geological storage in anticline reservoirs, so as to provide a method and basis for clarifying the site selection suitable for carbon dioxide geological storage in anticline reservoirs in oil and gas areas.

[0053] Figure 1 A flowchart of the steps of a method for intelligently screening anticline traps in geological storage of carbon dioxide according to an embodiment of the present invention is shown.

[0054] like Figure 1 As shown, in step S101, a full-stratum model including the vertical and horizontal ranges of carbon dioxide geological storage is established for the target area.

[0055] In one embodiment, the full formation model is established by the following steps: determining the plane range of the full formation model according to the distribution of traps in the target area in the plane direction. Determining the vertical range of the full formation model according to the distribution of oil strata in the target area in the vertical direction. Determining the grid coarseness of the cap rock and reservoir of the full formation model and determining the total number of grids of the full formation model in order to accurately describe the geological storage of carbon dioxide.

[0056] Specifically, according to the vertical and horizontal range of carbon dioxide geological storage, a full-stratum model suitable for carbon dioxide geological storage is established, including a vertical continuous stratigraphic model, and a suitable trap range is selected on the plane. Due to the long time and large scale span of carbon dioxide geological storage, the number of grids in the full-stratum model can be relatively coarse, aiming to reflect the geological structure characteristics and the carbon dioxide geological storage resource model of the entire block.

[0057] In one embodiment, for Block H in the Subei Basin, a full stratigraphic model of the entire region is established, which includes multiple trap areas of the entire block in the plane and multiple oil-bearing strata such as the Funing 2nd Member, Funing 3rd Member, and Dainan Formation in the vertical direction. In order to accurately describe the geological storage of carbon dioxide, the grid of the cap layer is relatively coarse, and the grid of the reservoir is relatively fine. The total number of grids in the entire model is 90,000 (e.g. Figure 2 ).

[0058] like Figure 1 As shown, in step S102, based on the full stratigraphic model, the number of anticline traps in the target area, the trap boundary of each anticline trap, and the trap closure degree of each anticline trap are determined.

[0059] As the CO2 plume rises in anticline traps, it encounters areas where the capillary entry pressure is greater than that of the surrounding rock. CO2 accumulates below these capillary barriers with a saturation greater than that of the residual. CO2 fixed by local capillary capture has been shown to be unaffected even if the overlying sealing system leaks. After CO2 fills a given local capillary trap, the trap becomes a local capillary anticline trap. The new concept of local capillary traps can be identified based on a given geological model without modeling flow dynamics. Such anticline traps that capture CO2 are closed laterally, and the boundary lines are barrier units. Flow barriers can be identified by creating periodic boundaries. The boundaries of anticline traps are divided into vertical boundaries and planar boundaries. The vertical boundaries mainly determine the caprock thickness and interlayer frequency. According to the screening rules, reservoirs with large caprock thickness and high interlayer frequency are suitable for CO2 geological storage. According to calculations, it can be determined that the caprock thickness must be greater than 40m and the interlayer frequency must be greater than 80% as vertical boundaries. The plane boundary must first determine the overflow point, and then define the enclosure range based on the contour lines of the overflow point, which is the plane boundary of the anticline enclosure.

[0060] In one embodiment, the number of anticline traps and the trap boundary of each anticline trap are determined by the following steps: based on the full stratigraphic model, suitable carbon dioxide storage reservoirs are determined, oil groups or sand groups suitable for carbon dioxide geological storage are determined, and the number of anticline traps in the target area is determined according to the oil groups or sand groups. For a certain anticline trap, the caprock thickness and the interlayer frequency are determined to determine the vertical boundary of the anticline trap. For a certain anticline trap, the overflow point is determined, and the plane boundary of the anticline trap is determined based on the contour line of the overflow point.

[0061] Specifically, firstly, based on the full formation model, a suitable CO2 storage layer is selected, and an oil group or sand group suitable for CO2 geological storage is selected. According to the oil group or sand group, a suitable trap is selected. For example, in Block H, the second member of the Fuzhou Formation is selected as the CO2 geological storage layer, and its caprock is about 100 m thick. Based on the contour lines of the reservoir top and bottom, anticline traps suitable for CO2 storage are found (such as Figure 4 ), and define the entire anticline trap boundary according to the closed range of the contour line (such as Figure 3 ). A closed contour line of a structural anticline high point is selected as the boundary of the structural anticline. Most of the open areas of the structural contour lines outside the boundary exceed the overflow point. Therefore, the boundary between the closed area and the open area of ​​the structural contour line is the boundary of the anticline trap. The specific resolution can be based on the density of the structural contour line. For example, the structural contour line of the sealing reservoir of the Fu II section in the H block is determined to be 1m, and the boundary range of the anticline trap can be accurate to 1m.

[0062] In general geological structures, the structural amplitude refers to the vertical distance from the highest point of the anticline structure to the regional inclined surface, while the closure degree is the vertical distance between the high point of the trap and the overflow point. If the closure degree needs to be determined, the structural interpretation and mapping should be completed first, and the depth of the overflow point of the trap should be evaluated. The overflow point is the first place where oil and gas overflow after filling, and it is the lowest point of the trap. Since the theoretical storage capacity is considered, it is assumed that the structural trap is fully filled with carbon dioxide to the overflow point, and the distance from the overflow point to the highest point can be determined as the closure degree, such as Figure 2 shown.

[0063] In one embodiment, the trap closure of each anticline trap is determined by the following steps: for a certain anticline trap, the intersection of the range of the anticline trap and the entire sea level is determined, and the vertical distance from the sea level to the top of the anticline trap is the trap closure of the anticline trap.

[0064] Specifically, the closure of anticline trap is related to the trap dip angle and the horizontal projection length of the line from the highest point of the trap to the overflow point. The closure of the trap has a corresponding lower limit. If it is lower than the lower limit, it is difficult for the trap to form a reservoir. For CO2 injection, if the closure of the trap is exceeded, the CO2 cannot be safely sealed. The closure of the trap is the vertical distance between the highest point of the trap and the overflow point. Find the intersection of the range of the trap and the entire sea level. The vertical distance from the sea level to the top of the trap is the closure of the trap. Furthermore, if there is a structural contour map (such as Figure 6 ), the closure of the trap can be quickly measured through the measurement tools of the Petrel software. In the full-stratum model, the sea level of each trap can be established first, and the structural model from the sea level to the top of the trap can be established through the geometry modeling function. The model of the distance from the sea level to the top of the trap can be realized through the above contact in the geometry modeling function. The relevant distance size can be viewed in the model, and then the closure of each trap can be quickly calculated through the calculation function.

[0065] In one embodiment, the Map-based module in the Petrel software is used based on the full stratigraphic model to quickly calculate multiple structural traps in the structural plane.

[0066] (1) Select the interface and enter the interface value in the layer;

[0067] (2) Select natural gas as the fluid,

[0068] (3) Set the trap overflow point value,

[0069] (4) Rapid calculation of closure based on overflow points

[0070] Based on the above calculation method, the closure degrees of the three traps in Block H of Subei Basin are calculated to be 20m, 35m and 14m respectively.

[0071] like Figure 1 As shown, in step S103, the score of the key characterization parameter of the anticline structural sealing mechanism corresponding to each anticline trap is calculated based on the trap boundary and the trap closure degree.

[0072] In one embodiment, key characterization parameters of the anticline structure sealing mechanism are determined through steps S1031-S1033.

[0073] In step S1031, a grid model of a typical anticline trap is established, and a fluid model in the grid model is determined based on the oil-water interface and the oil-gas interface to construct a typical model of anticline trap. The typical trap geological model involved in the present invention is an anticline trap. Specifically, a conceptual model of a typical anticline trap is established based on the PETREL software, and the grid is a corner grid. First, the same area size is designed, the plane grid is 10*10, four strata are set vertically, 5 grids for each stratum, and the total number of grids is 100000; the oil-water interface is set to -960m, the oil-gas interface is set to -930m, and the fluid model in the anticline trap is set based on the oil-water interface and the oil-gas interface.

[0074] In step S1032, the geological storage parameters are set for the typical model of anticline trap to obtain the typical model of anticline traps with different structures. Specifically, the geological storage parameters of carbon dioxide are set in terms of area, thickness, dip, shape factor and positive and negative rhythm based on the typical model of anticline trap, including different dip types, 10°, 30°, 45°, 50°, 60°, 70°, different closures, 10m, 20m, 30m, 40m, different areas, 10km 2 , 100km 2 1000km 2 , 5 groups of different shape factors. The four typical model injection and production methods involved in the present invention adopt five-point injection, one injection and four productions, the central well C11 is the injection well, and the surrounding wells C22, C33, C44, and C55 are production wells.

[0075] In step S1033, by conducting a numerical simulation comparison study of typical models of anticline traps of different structures under the same injection-production conditions, the key characterization parameters of the anticline structural sealing mechanism are clarified. Specifically, by conducting a numerical simulation comparison study of different structural models under the same injection-production conditions, it is clarified that the key characterization parameters of the anticline structural sealing mechanism are area, thickness, and dip angle.

[0076] In one embodiment, after the boundary of the trap is confirmed, the entire anticline trap area can be calculated in real time. Based on the area and length function in the caculative function of the PETREL software, the trap area of ​​all clear boundaries in the study area can be calculated. For example, the three trap areas of Block H in the Subei Basin are 16km 2 , 24km 2 , 12km 2 The dip angle of the trap can be calculated by the cell angle in the geometry modeling module. The dip angles of the three traps in Block H of the Subei Basin are 30°, 45°, and 55° respectively. Figure 5 ).

[0077] like Figure 1 As shown, in step S104, based on the scores of the key characterization parameters, the suitability score of carbon dioxide geological storage corresponding to each anticline trap is calculated through the anticline trap suitability model to determine the comprehensive site selection score.

[0078] In one embodiment, the comprehensive site selection score of each anticline trap is determined by the following steps: based on the score of a single key characterization parameter, the weight of a single key characterization parameter, and the weight of a criterion layer, the suitability score of carbon dioxide geological storage corresponding to each anticline trap is calculated through an anticline trap suitability model. Based on the suitability score and combined with the comprehensive evaluation criteria, the comprehensive site selection score of carbon dioxide geological storage corresponding to each anticline trap is determined.

[0079] Based on the fact that the main influencing factors of anticline traps in carbon dioxide geological storage are area, thickness and dip, the trap range and boundary are quickly selected in the full stratigraphic model, and the traps suitable for carbon dioxide geological storage are selected according to the key parameter types. The area of ​​the trap is the area of ​​the closed area formed by the intersection of the horizontal plane of the overflow point and the top surface of the reservoir and other closed surfaces (fault plane, unconformity surface, pinch-out zone, etc.). Furthermore, based on the calculation function of PETREL software, the area and thickness of the selected trap are quickly calculated; based on the module of the structural model in the software, the dip angle of each trap is calculated.

[0080] The weights of the three key characterization parameters are comprehensively considered to quickly determine the suitability of each trap for carbon dioxide geological storage, and the preliminary screening of carbon dioxide geological storage in anticline structures is completed. The suitability model of anticline traps includes:

[0081]

[0082] Where: Y is the suitability score; C i is the score of a single key characterization parameter; W i is the weight of a single key characterization parameter; B jis the weight of the criterion layer; i and j are the number of scores of the key characterization parameters and the number of criterion indicators respectively. Further, the criterion indicators include negative indicators, ability indicators, economic indicators, etc. In one embodiment, the ability indicators are used as the criterion indicators.

[0083] Further, the comprehensive evaluation criteria include:

[0084] Category 1: The geological storage condition is excellent, the comprehensive index is 9 < Y < 10, and it is very suitable for CO₂ geological storage;

[0085] Category 2: The geological storage condition is good, the comprehensive index is 7 < Y < 9, and it is relatively suitable for CO₂ geological storage;

[0086] Category 3: The geological storage condition is medium, the comprehensive index is 6 < Y < 7, and it is basically suitable for CO₂ geological storage;

[0087] Category 4: The geological storage condition is poor, the comprehensive index is Y < 6, and it is not suitable for CO₂ geological storage;

[0088] The anticlinal trap suitability model and comprehensive evaluation criteria provided by the present invention are simple and fast, and are especially suitable for quickly evaluating multiple traps in a basin or depression in the early stage, so as to understand the storage potential of the entire basin or depression.

[0089] In one embodiment, based on the above calculation results of trap closure, trap area and dip angle, data is quickly extracted to make a table, and the screening content can be determined according to the sizes of the parameters. Based on the calculation of the storage factor, as Figure 7 shown, traps A and C are of Category 1, and trap B is of Category 2, as shown in Table 1.

[0090] Table 1 Trap suitability classification table

[0091] Traps Trap A Trap B Trap C <![CDATA[Area / km 2 > 1.35 1.2 0.8 Inclination angle / ° 15 10 25 Thickness / m 15 10 10 Suitability classification Category I Category II Category I

[0092] The present invention can apply the typical model of anticlinal traps to establish the structural storage mechanism in CO₂ geological storage, clarify the structural storage mechanism and important parameters applicable to CO₂ geological storage, quickly evaluate and classify the trap types by using intelligent methods based on the whole-stratum model, and screen out effective trap types applicable to CO₂ geological storage. In this way, it can not only achieve the rapid evaluation of CO₂ geological storage, but also understand the potential risks of CO₂ geological storage, which is of great significance for the CO₂ geological storage demonstration project.

[0093] The method for intelligently screening anticline traps in carbon dioxide geological storage provided by the present invention can also be used in conjunction with a computer-readable storage medium, on which a computer program is stored, and the computer program is executed to run the method for intelligently screening anticline traps in carbon dioxide geological storage. The computer program can run computer instructions, and the computer instructions include computer program code, which can be in source code form, object code form, executable file or some intermediate form, etc.

[0094] Computer-readable storage media may include: any entity or device that can carry computer program code, recording media, USB flash drives, mobile hard disks, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0095] It should be noted that the content contained in computer-readable storage media can be appropriately increased or decreased based on the requirements of legislation and patent practices in the jurisdiction. For example, in some jurisdictions, based on legislation and patent practices, computer-readable storage media do not include electrical carrier signals and telecommunications signals.

[0096] According to another aspect of the present invention, a device for intelligently screening anticline closures in carbon dioxide geological storage is provided, which performs a method for intelligently screening anticline closures in carbon dioxide geological storage. The device comprises: a full formation model module, a boundary and closure module, a key characterization parameter module, and a comprehensive scoring module.

[0097] The full stratigraphic model module is used to establish a full stratigraphic model that includes the vertical and horizontal range of carbon dioxide geological storage for the target area. The boundary and closure module is used to determine the number of anticline traps, the trap boundary of each anticline trap, and the trap closure of each anticline trap in the target area based on the full stratigraphic model. The key characterization parameter module is used to calculate the score of the key characterization parameters of the anticline structural storage mechanism corresponding to each anticline trap through the trap boundary and the trap closure. The comprehensive scoring module is used to calculate the carbon dioxide geological storage suitability score corresponding to each anticline trap through the anticline trap suitability model based on the score of the key characterization parameters, so as to determine the comprehensive score of the site selection.

[0098] The degree of implementation of the trap, the inclination of the trap, the thickness of the reservoir and the physical properties will affect the site selection of the carbon dioxide geological storage trap. How to quickly screen and classify multiple traps in a basin or depression, and understand the impact of different geological parameters on the carbon dioxide geological storage of anticline traps, is related to the understanding of the risks of the entire project. The present invention draws on the site selection ideas of favorable traps in the oil and gas industry, applies the typical model of anticline traps to establish the structural storage mechanism in carbon dioxide geological storage, clarifies the structural storage mechanism and influencing factors, selects screening parameters suitable for carbon dioxide geological storage, and uses intelligent methods based on the full formation model to quickly evaluate and classify the trap types, and screen out effective trap types suitable for carbon dioxide geological storage. In this way, rapid evaluation of carbon dioxide geological storage can be achieved, and the potential risks of carbon dioxide geological storage can also be understood, which is of great significance to the demonstration project of carbon dioxide geological storage.

[0099] The method for intelligently screening anticline traps in carbon dioxide geological storage involved in the present invention is suitable for the selection of carbon dioxide geological storage sites in anticline reservoirs based on a full stratigraphic model, and its main implementation steps are: first, starting from the trap type, the sealing mechanism and influencing factors of carbon dioxide geological storage in anticline traps are established, and the main parameters and influencing factors of carbon dioxide geological storage are determined through parameters such as area, thickness, inclination, positive and negative cycles; secondly, the trap boundary and closure of carbon dioxide geological storage are determined based on the full stratigraphic model; finally, the effective carbon dioxide geological storage anticline traps in the full stratigraphic model are quickly evaluated and classified through the main influencing factors among the influencing factors of carbon dioxide geological storage in anticline traps.

[0100] In summary, the present invention provides a method for intelligently screening anticline traps in carbon dioxide geological storage, which has the following advantages over the prior art:

[0101] The present invention can apply typical models to establish the structural storage mechanism in carbon dioxide geological storage, clarify the structural storage mechanism and important parameters suitable for carbon dioxide geological storage, and use intelligent methods based on the full-stratum model to quickly evaluate and classify the closure types, and screen out effective closure types suitable for carbon dioxide geological storage. In this way, not only can the rapid evaluation of carbon dioxide geological storage be achieved, but also the potential risks of carbon dioxide geological storage can be understood, which is of great significance to the carbon dioxide geological storage demonstration project.

[0102] It should be understood that the embodiments disclosed in the present invention are not limited to the specific structures, processing steps or materials disclosed herein, but should be extended to equivalent substitutions of these features understood by ordinary technicians in the relevant field. It should also be understood that the terms used herein are only used for the purpose of describing specific embodiments and are not meant to be limiting.

[0103] In the description of the present invention, unless otherwise specified, "plurality" means two or more than two; the orientations or positional relationships indicated by the terms "upper", "lower", "left", "right", "inner", "outer", "front end", "rear end", "head", "tail", etc. are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", "third", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0104] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "connected" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0105] Certain terms are used throughout this application document to indicate specific system components. As those skilled in the art will recognize, different names can usually be used to indicate the same components, so this application document is not intended to distinguish those components that are only different in name but not in function. In this application document, the terms "comprise", "include" and "have" are used in an open form, and therefore should be interpreted as meaning "including but not limited to...". In addition, the terms "substantially", "substantially" or "approximately" that may be used in this article relate to the tolerances of the corresponding terms accepted by the industry. The term "coupling" as may be used in this article includes direct coupling and indirect coupling via other components, elements, circuits, or modules, wherein for indirect coupling, the components, elements, circuits, or modules between them do not change the information of the signal but can adjust its current level, voltage level, and / or power level. Inferred coupling (for example, one of the elements is coupled to another element by inference) includes direct and indirect coupling between two elements in the same way as "coupling".

[0106] The "one embodiment" or "embodiment" mentioned in the specification means that the specific features, structures or characteristics described in conjunction with the embodiment are included in at least one embodiment of the present invention. Therefore, the phrases "one embodiment" or "embodiment" appearing in various places throughout the specification do not necessarily refer to the same embodiment.

[0107] The embodiments of the present invention are given for the purpose of illustration and description, and are not intended to be exhaustive or to limit the invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.

[0108] Although the embodiments disclosed in the present invention are as above, the contents described are only embodiments adopted for facilitating the understanding of the present invention and are not intended to limit the present invention. Any technician in the technical field to which the present invention belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present invention, but the patent protection scope of the present invention shall still be subject to the scope defined in the attached claims.

Claims

1. A method for intelligently screening anticline traps in carbon dioxide geological storage, characterized in that: The method comprises: For the target area, establish a full-stratum model that includes the vertical and horizontal range of CO2 geological storage; Based on the full stratigraphic model, determining the number of anticline traps in the target area, the trap boundary of each anticline trap, and the trap closure degree of each anticline trap; The scores of key characterization parameters of the anticline structural sealing mechanism corresponding to each anticline trap are calculated based on the trap boundary and trap closure degree; According to the scores of key characterization parameters, the suitability score of carbon dioxide geological storage corresponding to each anticline trap is calculated through the anticline trap suitability model to determine the comprehensive site selection score.

2. A method for intelligently screening anticline traps in carbon dioxide geological storage according to claim 1, characterized in that: The full formation model is established by the following steps: Determining the plane range of the full formation model according to the distribution of traps in the target area in the plane direction; Determining the vertical range of the full formation model according to the distribution of oil strata in the target area in the vertical direction; In order to accurately describe the geological storage of carbon dioxide, the grid coarseness of the cap rock and the reservoir of the full formation model is determined, and the total number of grids of the full formation model is determined.

3. A method for intelligently screening anticline traps in geological storage of carbon dioxide according to claim 1 or 2, characterized in that: The number of anticline traps and the trap boundaries of each anticline trap are determined by the following steps: Determine a suitable carbon dioxide storage reservoir based on the full stratigraphic model, determine an oil group or sand group suitable for carbon dioxide geological storage, and determine the number of anticline traps in the target area according to the oil group or sand group; For a certain anticline trap, determine the caprock thickness and interlayer frequency to determine the vertical boundary of the anticline trap; For a certain anticline trap, the overflow point is determined, and the plane boundary of the anticline trap is determined based on the contour lines of the overflow point.

4. A method for intelligently screening anticline traps in carbon dioxide geological storage according to any one of claims 1 to 3, characterized in that: The trap closure of each anticline trap is determined by the following steps: For a certain anticline trap, determine the intersection of the range of the anticline trap and the entire sea level. The vertical distance from the sea level to the top of the anticline trap is the trap closure degree of the anticline trap.

5. A method for intelligently screening anticline traps in carbon dioxide geological storage according to any one of claims 1 to 4, characterized in that: The key characterization parameters of the anticline structural sealing mechanism are determined by the following steps: Establishing a grid model of a typical anticline trap, and determining a fluid model in the grid model based on an oil-water interface and an oil-gas interface, so as to construct a typical model of the anticline trap; According to the typical model of anticline trap, geological storage parameters are set to obtain typical models of anticline traps with different structures; By conducting a comparative study of numerical simulations of typical models of anticline traps in different structures under the same injection-production conditions, the key characterization parameters of the anticline structural sealing mechanism are clarified.

6. A method for intelligently screening anticline traps in geological storage of carbon dioxide according to any one of claims 1 to 5, characterized in that: The key characterization parameters include but are not limited to: area, thickness, and inclination angle.

7. A method for intelligently screening anticline traps in carbon dioxide geological storage according to any one of claims 1 to 6, characterized in that: The comprehensive site selection score for each anticline trap is determined by the following steps: Based on the score of the single key characterization parameter, the weight of the single key characterization parameter, and the weight of the criterion layer, the suitability score of carbon dioxide geological storage corresponding to each anticline trap is calculated through the anticline trap suitability model; Based on the suitability score and combined with comprehensive evaluation criteria, a comprehensive score for the carbon dioxide geological storage site selection corresponding to each anticline trap is determined.

8. A method for intelligently screening anticline traps in carbon dioxide geological storage according to any one of claims 1 to 7, characterized in that: The anticline trap suitability model includes: Where: Y is the suitability score; C i is the score of a single key characterization parameter; W i is the weight of a single key characterization parameter; B j is the criterion layer weight; i and j are the number of key characterization parameters and the number of criterion indicators, respectively.

9. A storage medium, characterized in that: It contains a series of instructions for executing the method steps as claimed in any one of claims 1-8.

10. A device for intelligently screening anticline traps in carbon dioxide geological storage, characterized in that: The method according to any one of claims 1 to 8 is performed, wherein the device comprises: A full-stratum model module, which is used to establish a full-stratum model covering the vertical and horizontal range of CO2 geological storage for the target area; A boundary and closure module, which is used to determine the number of anticline traps in the target area, the trap boundary of each anticline trap and the trap closure of each anticline trap based on the full stratigraphic model; A key characterization parameter module is used to calculate the score of the key characterization parameters of the anticline structural sealing mechanism corresponding to each anticline trap through the trap boundary and the trap closure degree; The comprehensive scoring module is used to calculate the carbon dioxide geological storage suitability score corresponding to each anticline trap based on the scores of key characterization parameters through the anticline trap suitability model to determine the comprehensive site selection score.

Citation Information

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