A method and system for intelligent modeling of stratigraphic framework in large working areas

Abstract

The present invention discloses a method and system for intelligent stratigraphic grid modeling for a large work area. The method comprises establishing an intelligent stratigraphic grid data table based on seismic data; obtaining a three-dimensional grid data volume based on the intelligent stratigraphic grid data table; performing fault-tolerant processing on the three-dimensional grid data volume to obtain a fault-tolerant three-dimensional grid data volume; and segmenting the fault-tolerant three-dimensional grid data volume and reconstructing it to form a three-dimensional stratigraphic grid model. This method achieves intelligent, efficient, and rapid modeling, meeting the need for rapid and intelligent updates to the stratigraphic grid model.

Description

Technical Field

[0001] The present invention relates to the field of geological exploration technology, and in particular to a large-scale work area stratum grid intelligent modeling method and system. Background Art

[0002] Efficient stratigraphic framework modeling is the core technology for 3D basin geological modeling. 3D basin geological modeling is the foundation for quantitative basin evaluation, basin simulation, digital basins, and basin oil and gas resource evaluation. The efficiency of geological modeling directly impacts exploration and production outcomes.

[0003] However, the existing stratigraphic framework modeling has the following shortcomings:

[0004] (1) Simple modeling technology based on borehole data is not suitable for rapid and effective modeling of complex geological conditions in large work areas;

[0005] (2) Detailed modeling is performed for small-scale oil and gas reservoirs, which is not suitable for rapid stratigraphic framework modeling in large work areas;

[0006] (3) For special modeling of complex geological bodies, this modeling technology requires more special restrictions to achieve fine effects, but it cannot achieve rapid model updates.

[0007] Therefore, a modeling method is urgently needed to solve the above defects. Summary of the Invention

[0008] To solve the above problems, the present invention aims to provide a method, system, electronic equipment and storage medium for intelligent modeling of a large-scale stratum grid.

[0009] In a first aspect, an embodiment of the present invention provides a method for intelligent modeling of a stratigraphic framework in a large work area, comprising:

[0010] Based on seismic data, an intelligent data table of stratigraphic framework is established;

[0011] Based on the stratigraphic grid intelligent data table, obtain three-dimensional grid data volume;

[0012] Performing fault-tolerant processing on the three-dimensional grid data body to obtain the three-dimensional grid data body after fault tolerance;

[0013] The fault-tolerant three-dimensional grid data body is cut and reconstructed to form a three-dimensional stratigraphic framework model.

[0014] Furthermore, the establishment of a stratigraphic grid intelligent data table based on seismic data includes:

[0015] Process and interpret seismic data to obtain stratigraphic structure maps;

[0016] Correct and clear the stratigraphic structure map to obtain stratigraphic contour map;

[0017] Based on the stratigraphic contour map, an intelligent stratigraphic grid data table is established;

[0018] The stratigraphic grid intelligent data table includes data of each layer, and the layers are divided into marker layers and non-marker layers.

[0019] Furthermore, the stratigraphic grid intelligent data table includes: layer name, layer type, stratigraphic type, reference layer, layer elevation data file, stratigraphic thickness file or data, stratigraphic boundary data file, erosion thickness data file, interpolation method, and interpolation order.

[0020] Furthermore, the obtaining of a three-dimensional grid data volume based on the stratum grid intelligent data table includes:

[0021] Perform two-dimensional grid interpolation on each layer in the stratigraphic grid intelligent data table according to the interpolation order, and arrange the grid data of each layer in order to form a three-dimensional grid data body;

[0022] If an erroneous layer appears in the three-dimensional grid data volume, the data of the layer is corrected to ensure the accuracy of the three-dimensional grid data volume.

[0023] Furthermore, if an erroneous layer appears in the three-dimensional grid data volume, the layer data is corrected, including:

[0024] If there is an incomplete stratum distribution or a stratum pinch-out line in the three-dimensional grid data volume, the stratum boundary data file given for that layer in the stratum grid intelligent data table is used to find the grid and corresponding layer values ​​outside the boundary, and correct them to the data of the corresponding reference layer in the stratum grid intelligent data table so that the stratum thickness outside the layer boundary is zero.

[0025] Furthermore, performing fault-tolerant processing on the three-dimensional mesh data volume to obtain the fault-tolerant three-dimensional mesh data volume includes:

[0026] Formulate fault-tolerant processing rules to solve the problem of interpenetration between two adjacent layers;

[0027] Performing fault-tolerant processing on the layer data in the three-dimensional grid data volume using a fault-tolerant processing rule to obtain a three-dimensional grid data volume after fault tolerance;

[0028] The fault-tolerant processing rules are as follows:

[0029] When the priorities of two adjacent layers are different, the layer with higher priority is used as the basis, and the layer with lower priority is corrected to make the upper and lower layers overlap;

[0030] When the priorities of two adjacent levels are the same, the higher level shall prevail.

[0031] Furthermore, the fault-tolerant 3D grid data volume is cut and reconstructed to form a 3D stratigraphic grid model, including:

[0032] According to the upper and lower extension limits of the fault cross section, faults with the same extension limits are divided into the same group to form multiple groups of faults;

[0033] Set the upper and lower limits of each group of faults and establish a table of the extension limits of each group of faults;

[0034] According to the section extension limit table and distribution range of each group of faults, a section network of each fault is established;

[0035] The cross-section network of each fault is intersected with the fault-tolerant three-dimensional grid data volume to reconstruct the three-dimensional network data volume and form a three-dimensional stratigraphic grid model containing cross-sections.

[0036] In a second aspect, an embodiment of the present invention provides a large-scale stratum grid intelligent modeling system, comprising: an establishment unit, a first acquisition unit, a second acquisition unit, and a reconstruction unit.

[0037] The establishing unit is used to establish a stratigraphic grid intelligent data table based on seismic data;

[0038] The first acquisition unit is used to acquire a three-dimensional grid data volume based on the stratum grid intelligent data table;

[0039] The second acquisition unit is configured to perform fault-tolerant processing on the three-dimensional mesh data volume to obtain the three-dimensional mesh data volume after fault tolerance;

[0040] The reconstruction unit is used to cut the three-dimensional grid data volume after fault tolerance and reconstruct it to form a three-dimensional stratum grid model.

[0041] Based on the same inventive concept, an embodiment of the present invention also provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the aforementioned large-area stratigraphic grid intelligent modeling method.

[0042] Based on the same inventive concept, an embodiment of the present invention further provides a computer storage medium, wherein the computer storage medium stores computer executable instructions, and when the computer executable instructions are executed, the aforementioned large-area stratigraphic framework intelligent modeling method is implemented.

[0043] The technical effects and advantages of the present invention are as follows: 1. The research scope is wider; the research object is a large working area, that is, the scope involved is a basin-level area or an area of ​​more than 10,000 square kilometers;

[0044] 2. Wider applicability: Due to the use of fault-tolerant modeling technology for non-important areas and formations, this method is applicable to both mature exploration areas and low-exploration areas;

[0045] 3. Higher modeling efficiency: To solve complex geological problems and stratigraphic interpenetration problems, by defining layer types, giving different layers a finite number of levels, establishing relationships between layers, and automatically determining the modeling order between layers, a stratigraphic grid intelligent modeling data table is formed to achieve intelligent, efficient, and rapid modeling, meeting the needs of rapid and intelligent updating of stratigraphic grid models.

[0046] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0048] Figure 1 This is a flow chart of a method for intelligent modeling of a large-scale stratum grid according to an embodiment of the present invention;

[0049] Figure 2 A two-dimensional PEBI grid diagram in an embodiment of the present invention;

[0050] Figure 3 A schematic diagram of the structure of a three-dimensional grid data volume in an embodiment of the present invention;

[0051] Figure 4 Schematic diagram of the structure of a three-dimensional grid data body after fault tolerance in an embodiment of the present invention;

[0052] Figure 5 This is a cross-sectional layout diagram of two-level faults in an embodiment of the present invention;

[0053] Figure 6 Schematic diagram of the structure of a three-dimensional stratigraphic framework model in an embodiment of the present invention;

[0054] Figure 7 This is a schematic structural diagram of a large-scale work area stratum grid intelligent modeling system according to an embodiment of the present invention;

[0055] Figure 8 Schematic diagram of the structure of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0057] The example is from the platform-basin area of ​​the Tarim Basin, which is a large composite superimposed basin with an area of ​​56×104 km 2 The platform basin in the middle of the basin covers an area of ​​more than 10×104 km. 2 The strike-slip fault development area is 9×104km 2 Large-scale fault-karst oil and gas reservoirs develop in deep to ultra-deep Ordovician carbonate rocks, primarily located on the southern slope of the Tabei Uplift and the northern slope of the Tazhong Uplift. New breakthroughs have been made in the Aman transition zone in the central platform-basin region, confirming that carbonate rocks in the lower basin (northern depression) also hold significant exploration potential.

[0058] To address the deficiencies of the prior art, the present invention discloses a method for intelligent modeling of a large-scale stratum grid. Figure 1 As shown, the following steps are included:

[0059] Step 1: Create a stratigraphic framework intelligent data table based on seismic data, including:

[0060] Conduct 2D and 3D seismic surveys to obtain seismic data; process and interpret seismic data to obtain stratigraphic structure maps;

[0061] Use professional drawing software (GeoMap, etc.) to correct and clean up the stratigraphic structure map into a vector map, and then output the required stratigraphic contour map from the drawing software;

[0062] Based on the stratigraphic contour map, a stratigraphic grid intelligent data table is established, and 12 items of table data are filled in; wherein, the stratigraphic grid intelligent data table includes data of each layer, and the layers are divided into marker layers and non-marker layers.

[0063] This example includes 11 strata and 12 stratum bottom interfaces, i.e., 12 layers. There are 4 identification layers and 4 common layers, 3 interpolated small layers, and 1 extrapolated parallel layer. There are 7 layer elevation data files, 3 stratum boundary data files, and 1 stratum thickness file. The 12 specific data items in the stratum grid intelligent data table are filled in as follows:

[0064] Table 1 Stratum Grid Intelligent Data Table

[0065]

[0066] As can be seen from Table 1, the stratigraphic grid intelligent data table includes: the serial number of each layer, layer name, layer type, stratigraphic type, reference layer, layer elevation data file, stratigraphic thickness file or data, stratigraphic boundary data file, erosion thickness data file, interpolation method, and interpolation order.

[0067] Among them, the serial number represents the sequence number of the stratigraphic interface, which is arranged in order from small to large, in order to determine the stratigraphic position and mutual relationship.

[0068] The layer name indicates the name of the bottom boundary of the stratum, such as P represents the bottom boundary of the Permian stratum.

[0069] Layer type: including marker layer, common layer, parallel layer and interpolated small layer;

[0070] ① Marker layer: The stratigraphic interface data is complete, accurate, and reliable, covering the entire study area. There is no "cross-layer" phenomenon between marker layers, that is, the layers do not intersect with each other;

[0071] ② Ordinary layer: The stratigraphic interface data is incomplete and cannot cover the entire study area. Therefore, the stratigraphic boundary (pinch-out line) data is needed to accurately model the stratigraphic layer. Or, if there is no stratigraphic bottom boundary data but stratigraphic thickness data is available, the adjacent upper and lower layers (reference layers) are needed to complete the modeling.

[0072] ③ Parallel layers: refers to layers of equal thickness, which is a special case of ordinary layers. When the layer thickness data is unclear or accurate thickness data is not required, a uniform thickness (such as 300m) is given to achieve the rapid modeling task;

[0073] ④ Interpolate small layer: To insert an internal layer in a stratum with existing top and bottom interface data, it is necessary to give the position of the new layer from the bottom boundary of the current stratum (as a percentage of the stratum thickness). For example, 40% means that the thickness of the stratum below the interpolated new layer accounts for 40% of the total thickness of the stratum.

[0074] The stratigraphic code indicates the normal stratigraphic code, such as C2-3, C1, etc., which is usually the same as the layer name.

[0075] There are three types of formations: cap rock, reservoir rock, and source rock. For cap rock, the initial values ​​of the porosity and pore throat radius of the corresponding formation are set to the shale value range; for reservoir rock, the initial values ​​of the porosity and pore throat radius of the corresponding formation are set to the conventional reservoir value range; for source rock, the initial values ​​of the porosity and pore throat radius of the corresponding formation are set to the shale value range.

[0076] The reference layer represents the bottom interface of other strata used to determine the bottom interface of the local layer; ordinary layers and parallel layers require a reference layer, while standard layers and interpolated small layers do not require a reference layer.

[0077] The layer elevation data file represents the vector data file of the structural map of the bottom interface of the stratum. The format is X, Y, Z. The Z value is the altitude. The value below sea level is negative, and the value above sea level is positive.

[0078] There are three types of stratum thickness files or data: ① Vector data file of stratum isopach map, in the format of X, Y, Z, where Z value is thickness and is greater than or equal to zero; ② Fixed thickness value, such as 300m; ③ Percentage of stratum thickness, such as 40% represents 40% thickness, see the description of interpolated small layers for details.

[0079] Stratigraphic boundary data file: When the strata in the simulation area are underdeveloped and the bottom boundary structure map contains a pinch-out line, it is necessary to supplement the stratigraphic boundary data file. The format is X, Y, K, where the K value is a natural number representing the boundary line number. At this time, the layer data outside the boundary line will be replaced by the reference layer data.

[0080] Erosion thickness data file: vector data file of erosion thickness map, in the format of X, Y, Z, where the Z value is the thickness and is greater than or equal to zero; used for automatic correction of ancient structures (multi-layer automatic backstripping).

[0081] The interpolation method is the interpolation method used for two-dimensional plane modeling of the ground surface.

[0082] Interpolation order: The interpolation priority of the ground layer. The marker layer has the highest priority, which is 0. The smaller the priority value, the higher the priority. The priority value is given based on the intelligent judgment of the reference layer.

[0083] Step 2: Based on the stratigraphic grid intelligent data table, obtain the 3D grid data volume; including:

[0084] like Figure 2 The plane grid shown has PEBI grids, and the number of two-dimensional plane grids is set to 20,000. According to the corresponding interpolation order in the stratigraphic grid intelligent data table, the interpolation method given in the stratigraphic grid intelligent data table is used to perform two-dimensional modeling on the 12 levels in the stratigraphic grid intelligent data table, and the grid data of each level are arranged in order from top to bottom to form the following: Figure 3 The three-dimensional mesh data volume shown (the three-dimensional mesh data volume has not been corrected at this time);

[0085] If an erroneous layer appears in the three-dimensional grid data volume, the data of the layer is corrected to ensure the accuracy of the three-dimensional grid data volume; specifically, the correction includes:

[0086] If there is an incomplete stratum distribution or a layer with a stratum pinch-out line in the three-dimensional grid data volume, the stratum boundary data file given for the stratum in the stratum grid intelligent data table is used to find the grid and corresponding layer values ​​outside the boundary, and correct them to the data of the corresponding reference layer in the stratum grid intelligent data table so that the stratum thickness outside the layer boundary is zero.

[0087] Since each layer is divided into marker layers and non-marker layers, the marker layer data is generally intact and there will be no errors in the process of forming the 3D grid data volume. There is no boundary limit when interpolating and extrapolating the marker layer, and the stratum development can cover the entire work area. However, in the process of forming the 3D grid data volume, errors may be generated due to interpolation errors in the non-marker layer. If the stratum development of the non-marker layer cannot cover the entire work area, there will be problems with the stratum boundary.

[0088] When the stratigraphic development of a non-marker layer in the three-dimensional grid data volume does not cover the entire work area and there is a stratigraphic boundary problem, the boundary line is used to distinguish the area inside the boundary and the area outside the boundary of the non-marker layer; when the two-dimensional interpolation of the non-marker layer is predicted to be outward trend, there may be non-zero thickness due to the lack of data points outside the boundary; therefore, the layer data outside the boundary of the non-marker layer needs to be corrected to the data of the corresponding reference layer of the non-marker layer in the stratigraphic grid intelligent data table, that is, the non-marker layer is overlapped with the corresponding reference layer so that the stratigraphic thickness outside the boundary is zero.

[0089] Step 3: Perform fault-tolerance processing on the three-dimensional mesh data volume to obtain the three-dimensional mesh data volume after fault tolerance; including:

[0090] In the ground exploration area, due to the low data accuracy, the modeling process may encounter the phenomenon of adjacent layers interpenetrating, that is, the lower layer passes through the upper layer (or the upper layer passes through the lower layer), resulting in a negative thickness error. Therefore, fault tolerance processing is required in the interpenetrating area.

[0091] Formulate fault-tolerant processing rules to solve the inter-layer phenomenon of adjacent layers; use the fault-tolerant processing rules to perform fault-tolerant processing on the layer data in the three-dimensional grid data volume to obtain Figure 4 The three-dimensional mesh data volume after error tolerance is shown.

[0092] Usually, the marker layer is correct by default, and other layers need to be fault-tolerant based on the marker layer. If two layers cross each other, if there is a marker layer, the marker layer is assumed to be correct by default, and the other layer needs to be corrected to 0 thickness, that is, it coincides with the marker layer. If there is no marker layer, the corresponding interpolation sequence number in the stratigraphic grid intelligent data table determines which layer has priority.

[0093] Therefore, the fault-tolerance processing rule is: when the priorities of two adjacent layers are different, the layer with higher priority shall prevail, and the layer with relatively lower priority shall be corrected so that the upper and lower layers overlap; when the priorities of two adjacent layers are the same, the upper layer shall prevail;

[0094] Among them, the level priority is consistent with the interpolation order in Table 1, that is, the lower the value, the higher the priority.

[0095] Step 4: Cut the fault-tolerant 3D grid data volume and reconstruct it into a 3D stratigraphic grid model; including:

[0096] According to the upper and lower extension limits of the fault cross section, faults with the same extension limits are divided into the same group to form multiple groups of faults;

[0097] Set the upper and lower limits of each group of faults, and create a table of section extension limits for each group of faults to prepare data for 3D stratigraphic framework modeling. The table of section extension limits for each group of faults is as follows:

[0098] Table 2 Upper and lower extension limits of each fault section

[0099] Fault Group Group 1 Group 2 … Group N Upper limit <![CDATA[C2]]> <![CDATA[D1]]> … <![CDATA[C2]]> Lower limit S S … <![CDATA[O1]]>

[0100] The faults in this embodiment are divided into two groups: primary and secondary. There are 28 primary faults and 76 secondary faults. The extension boundaries of the two-level fault sections are as follows:

[0101] Table 3 Upper and lower extension limits of the first and second level fault sections

[0102] Fault Group First-level fracture Secondary fracture Upper limit S S Lower limit <![CDATA[HW 1x ]]> <![CDATA[O1]]>

[0103] According to the section extension limit table and distribution range of each group of faults, a section network of each fault is established to form the following Figure 5 The surface map shown in FIG; the cross-sectional network of each fault is intersected with the three-dimensional grid data volume after fault tolerance to achieve the reconstruction of the three-dimensional network data volume, forming the following Figure 6 The three-dimensional stratigraphic framework model with cross sections shown provides a basic model for basin simulation and other studies.

[0104] Based on the same inventive concept, the embodiment of the present invention also provides a large-scale stratum grid intelligent modeling system, such as Figure 7 As shown, it includes an establishing unit, a first acquiring unit, a second acquiring unit and a reconstructing unit,

[0105] The establishing unit is used to establish a stratigraphic grid intelligent data table based on seismic data;

[0106] The first acquisition unit is used to acquire a three-dimensional grid data volume based on the stratum grid intelligent data table;

[0107] The second acquisition unit is configured to perform fault-tolerant processing on the three-dimensional mesh data volume to obtain the three-dimensional mesh data volume after fault tolerance;

[0108] The reconstruction unit is used to cut the three-dimensional grid data volume after fault tolerance and reconstruct it to form a three-dimensional stratum grid model.

[0109] Regarding the system in the above embodiment, the specific manner in which each unit module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0110] Based on the same inventive concept, an embodiment of the present invention further provides an electronic device, the structure of which is as follows: Figure 8 As shown, it includes: a memory, a processor and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it realizes the aforementioned large-scale work area stratum grid intelligent modeling method.

[0111] Based on the same inventive concept, an embodiment of the present invention further provides a computer storage medium, wherein the computer storage medium stores computer executable instructions, and when the computer executable instructions are executed, the aforementioned large-area stratigraphic framework intelligent modeling method is implemented.

[0112] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for intelligent modeling of a stratigraphic framework in a large work area, characterized by: include: Based on seismic data, an intelligent data table of stratigraphic framework is established; Based on the stratigraphic grid intelligent data table, obtain three-dimensional grid data volume; Performing fault-tolerant processing on the three-dimensional grid data body to obtain the three-dimensional grid data body after fault tolerance; Cut the three-dimensional grid data volume after fault tolerance and reconstruct it to form a three-dimensional stratigraphic grid model; in, The method of performing fault-tolerant processing on the three-dimensional grid data volume to obtain the fault-tolerant three-dimensional grid data volume includes: formulating a fault-tolerant processing rule for resolving the inter-layer phenomenon between two adjacent layers; performing fault-tolerant processing on the layer data in the three-dimensional grid data volume using the fault-tolerant processing rule to obtain the fault-tolerant three-dimensional grid data volume; The fault-tolerance processing rule is as follows: when the priorities of two adjacent layers are different, the layer with higher priority shall prevail, and the layer with lower priority shall be corrected to make the upper and lower layers overlap; when the priorities of two adjacent layers are the same, the layer with higher priority shall prevail; The three-dimensional grid data body after fault tolerance is cut and reconstructed to form a three-dimensional stratigraphic framework model, including: according to the upper and lower extension limits of the section of the fault, faults with the same extension limits are divided into the same group to form multiple groups of faults; the upper and lower limits of the section of each group of faults are set to establish a section extension limit table for each group of faults; according to the section extension limit table and distribution range of each group of faults, a section network of each fault is established; and the section network of each fault is intersected with the three-dimensional grid data body after fault tolerance to achieve reconstruction of the three-dimensional network data body and form a three-dimensional stratigraphic framework model containing sections.

2. The method for intelligent modeling of a large-scale stratigraphic framework according to claim 1, characterized in that: The step of establishing a stratigraphic framework intelligent data table based on seismic data includes: Process and interpret seismic data to obtain stratigraphic structure maps; Correct and clear the stratigraphic structure map to obtain stratigraphic contour map; Based on the stratigraphic contour map, an intelligent stratigraphic grid data table is established; The stratigraphic grid intelligent data table includes data of each layer, and the layers are divided into marker layers and non-marker layers.

3. A large-scale stratum grid intelligent modeling method according to claim 1 or 2, characterized in that: The stratigraphic grid intelligent data table includes: layer name, layer type, stratigraphic type, reference layer, layer elevation data file, stratigraphic thickness file or data, stratigraphic boundary data file, erosion thickness data file, interpolation method, and interpolation order.

4. A large-scale stratum grid intelligent modeling method according to claim 1 or 2, characterized in that: The method of obtaining a three-dimensional grid data volume based on the stratum grid intelligent data table includes: Perform two-dimensional grid interpolation on each layer in the stratigraphic grid intelligent data table according to the interpolation order, and arrange the grid data of each layer in order to form a three-dimensional grid data body; If an erroneous layer appears in the three-dimensional grid data volume, the data of the layer is corrected to ensure the accuracy of the three-dimensional grid data volume.

5. The method for intelligent modeling of a large-scale stratum grid according to claim 4, characterized in that: If an erroneous layer appears in the three-dimensional grid data volume, the layer data is corrected, including: If there is an incomplete stratum distribution or a stratum pinch-out line in the three-dimensional grid data volume, the stratum boundary data file given for that layer in the stratum grid intelligent data table is used to find the grid and corresponding layer values ​​outside the boundary, and correct them to the data of the corresponding reference layer in the stratum grid intelligent data table so that the stratum thickness outside the layer boundary is zero.

6. A large-scale stratum grid intelligent modeling system, characterized by: include: establishing a unit, a first acquiring unit, a second acquiring unit and a reconstructing unit, The establishing unit is used to establish a stratigraphic grid intelligent data table based on seismic data; The first acquisition unit is used to acquire a three-dimensional grid data volume based on the stratum grid intelligent data table; The second acquisition unit is configured to perform fault-tolerant processing on the three-dimensional mesh data volume to obtain the three-dimensional mesh data volume after fault tolerance; The reconstruction unit is used to cut the three-dimensional grid data volume after fault tolerance and reconstruct it to form a three-dimensional stratigraphic grid model; in, Performing fault-tolerant processing on the three-dimensional grid data volume to obtain a fault-tolerant three-dimensional grid data volume, including: formulating a fault-tolerant processing rule to resolve a layer-penetration phenomenon between two adjacent layers; performing fault-tolerant processing on layer data in the three-dimensional grid data volume using the fault-tolerant processing rule to obtain a fault-tolerant three-dimensional grid data volume; The fault-tolerance processing rule is as follows: when the priorities of two adjacent layers are different, the layer with higher priority shall prevail, and the layer with lower priority shall be corrected to make the upper and lower layers overlap; when the priorities of two adjacent layers are the same, the layer with higher priority shall prevail; The three-dimensional grid data body after fault tolerance is cut and reconstructed to form a three-dimensional stratigraphic framework model, including: according to the upper and lower extension limits of the section of the fault, faults with the same extension limits are divided into the same group to form multiple groups of faults; the upper and lower limits of the section of each group of faults are set to establish a section extension limit table for each group of faults; according to the section extension limit table and distribution range of each group of faults, a section network of each fault is established; and the section network of each fault is intersected with the three-dimensional grid data body after fault tolerance to achieve reconstruction of the three-dimensional network data body and form a three-dimensional stratigraphic framework model containing sections.

7. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, the method for intelligent modeling of a large work area stratigraphic framework according to any one of claims 1 to 5 is implemented.

8. A computer storage medium, characterized in that The computer storage medium stores computer executable instructions, which, when executed, implement the large-area stratigraphic grid intelligent modeling method according to any one of claims 1 to 5.

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