A three-dimensional modeling system and method in the background of sparse two-dimensional seismic survey lines
By collecting and fusing multi-source data, a modeling profile skeleton was constructed, and the structural framework was modeled in Petrel software. This solved the problem of three-dimensional modeling in the context of sparse two-dimensional seismic survey lines, realized the fusion of fault and stratigraphic data, and completed three-dimensional geological modeling, which is suitable for shale gas geological surveys and the initial stage of exploration.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUBEI GEOLOGICAL SURVEY INST
- Filing Date
- 2026-03-11
- Publication Date
- 2026-06-09
AI Technical Summary
In the early stages of shale gas geological surveys and exploration, due to the sparse seismic survey lines, traditional three-dimensional seismic data interpretation cannot carry out three-dimensional modeling of fault and bedding data, and multi-type data fusion is difficult to achieve.
A three-dimensional modeling method based on sparse two-dimensional seismic survey lines was adopted. By collecting geological plan base maps, regional structural feature information, two-dimensional seismic survey line interpretation results, geological structural profile maps, surface geological boundary data and single-well layered data, a modeling profile skeleton was constructed. Fault and stratigraphic data were fused, and fault and three-dimensional stratigraphic models were established in Petrel software using the structural framework modeling method.
Against the backdrop of sparse two-dimensional seismic survey lines, the fusion of fault and stratigraphic data was successfully completed, enabling three-dimensional geological modeling. This has significant reference value, especially in the early stages of shale gas geological surveys and exploration.
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Figure CN122172281A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of three-dimensional modeling technology, and in particular to a three-dimensional modeling system and method for a background of sparse two-dimensional seismic survey lines. Background Technology
[0002] In the early stages of shale gas geological surveys and exploration, seismic survey lines are relatively sparse, making it impossible to conduct traditional 3D modeling based on fault and bedding data interpreted from 3D seismic data. However, geological base maps, geological structure profiles, and single-well stratification data can all reflect structural and stratigraphic depth information. How to integrate multiple types of data has become the core issue of 3D modeling in the early stages of shale gas geological surveys and exploration. Summary of the Invention
[0003] The purpose of this invention is to propose a three-dimensional modeling system and method for sparse two-dimensional seismic survey lines, addressing the technical problem that traditional three-dimensional geological modeling methods are difficult to implement in sparse seismic survey line backgrounds.
[0004] To achieve the above objectives, the present invention adopts the following technical solution: A three-dimensional modeling method for a sparse two-dimensional seismic survey background includes the following steps: S1. Collect and prepare multi-source data, including geological plan base map, regional tectonic feature information, two-dimensional seismic line interpretation results, geological structure profile map, surface geological boundary data and single-well layered data; S2. Construct a modeling profile framework. Based on the existing distribution of two-dimensional seismic survey lines and the regional tectonic trend, supplement geological structural profiles to form a high-density profile network composed of seismic survey lines and geological structural profiles. S3. Perform fault data fusion. Based on the fault line data in the profile skeleton and combined with regional structural features, determine the spatial combination relationship of faults. S4. Perform stratigraphic data fusion. Based on seismic survey lines, geological structure profiles, surface geological boundaries, and single-well stratigraphic data, generate a planar structural map of each key modeling interface. S5. Based on the fused fault data and stratigraphic data, the structural framework modeling method is used in Petrel software to sequentially establish the fault model and the three-dimensional stratigraphic model.
[0005] A three-dimensional modeling system for a sparse two-dimensional seismic survey background includes: Data acquisition module: Collects and prepares multi-source data, including geological plan base map, regional tectonic feature information, two-dimensional seismic survey line interpretation results, geological structure profile map, surface geological boundary data and single-well layered data; Modeling profile skeleton construction module: Based on the existing distribution of 2D seismic survey lines and the trend of regional tectonic structures, geological structural profiles are added to form a high-density profile network composed of seismic survey lines and geological structural profiles; Fault data fusion module: Based on the fault line data in the profile skeleton, combined with regional structural features, determine the spatial combination relationship of faults; Stratigraphic data fusion module: Based on seismic survey lines, geological structure profiles, surface geological boundaries and single-well stratified data, it comprehensively generates planar structural maps of each key modeling interface; 3D model building module: In Petrel software, the construction framework modeling method is used to build fault models and 3D stratigraphic models in sequence.
[0006] The beneficial effects of this invention are as follows: Compared to traditional modeling methods based on 3D seismic data, this invention fully utilizes geological structural profiles and surface geological boundary information to fuse fault and stratigraphic data against a background of sparse 2D seismic lines, thereby completing 3D geological modeling. This method has significant reference value for 3D geological modeling in areas currently in the shale gas geological survey and early exploration stages. Attached Figure Description
[0007] Figure 1 This is a simplified flowchart of the method of the present invention; Figure 2 This is the modeling profile skeleton; the solid blue lines are two-dimensional seismic survey lines, and the dashed red lines are geological structure profiles. Figure 3 These are the modeling profiles required for fault modeling, mainly referring to two-dimensional seismic survey lines and geological structure profiles perpendicular to the structural trend; Figure 4 It is the spatial combination relationship after fault fusion; Figure 5 This is the spatial distribution of T1d stratigraphic data fusion. The purple lines represent stratigraphic data from seismic survey lines and geological profiles, the sky-blue lines represent surface geological boundary stratification data, and the dots represent the T1d bottom boundary stratification points of a single well. Figure 6 Spatial distribution of geological boundaries on a geological base map; Figure 7 The Make surface editing module is used to draw the stratigraphic spatial distribution of the fused linear data and single-well stratigraphic data of the bottom boundary (T1d) of the Triassic Daye Formation. Figure 8 It is the spatial distribution of T1d after the fusion of multiple data; Figure 9This is the interface for relevant parameters of faultmodeling in the fault framework step of the structural framework modeling method. Figure 10 This is the interface for parameters related to fault relationship in the fault framework step of the structural framework modeling method. Figure 11 It is a three-dimensional fault model processed by the fault framework; Figure 12 This is the interface for parameters related to the Model construction step in the structural framework modeling method; Figure 13 This is the interface for parameters related to the Model refinement step in the structural framework modeling method; Figure 14 This is the final hierarchical model; Figure 15 This is a schematic diagram of the system structure of the present invention. Detailed Implementation
[0008] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be further described below with reference to the accompanying drawings.
[0009] Before formally describing the present invention, a general description of the solution of the present invention will be given first to facilitate understanding.
[0010] Please refer to Figure 1 The present invention provides a three-dimensional modeling method for a sparse two-dimensional seismic survey background, comprising the following steps: S1. Collect and prepare multi-source data, including geological plan base map, regional tectonic feature information, two-dimensional seismic line interpretation results, geological structure profile map, surface geological boundary data and single-well layered data; It should be noted that the geological planar base map is usually a geological map with a scale of not less than 1:200,000 (such as the 1:200,000 Enshi geological map in the example). It provides planar spatial distribution information such as the surface strata outcrop boundaries and fault lines, and is the source of the model's geographical boundaries and surface constraints. Regional tectonic features: This refers to the overall understanding of the main tectonic framework, structural styles (such as thrust-nappe structures in the examples), stratigraphic attitudes, and evolutionary patterns of the work area, obtained through comprehensive analysis of regional geological data and previous research results. This understanding serves as the geological guideline for subsequent profile layout, fault combinations, and model establishment.
[0011] Two-dimensional seismic line interpretation results: These refer to the digital results obtained after geological interpretation of existing sparse two-dimensional seismic profiles. They mainly include: ① Fault line data: Spatial lines (Polygon format) formed by connecting the interpreted faults, possessing depth information; ② Stratigraphic depth data: Spatial lines (Polygon format) formed after time-depth conversion, tracing the reflection time of key geological strata (such as T1d, P3, etc.) and tracking their reflection time.
[0012] Geological structural profile: This refers to a cross-sectional map drawn along a specific direction (usually perpendicular to the structural strike) on a geological plan based on field geological surveys, drilling data, and regional tectonic understanding. It reflects the morphology of underground structures. These profiles provide structural and stratigraphic information about the areas between seismic survey lines and are crucial for supplementing data-sparse areas.
[0013] Surface geological boundary data refers to the surface outcrop boundaries of various stratigraphic units, digitized from a geological base map. By assigning elevation information (such as from a digital elevation model, DEM), these data can be converted into three-dimensional spatial data, providing precise constraints for the top of the model.
[0014] Single-well stratification data: refers to the precise depth data (usually stored in Well Tops format) of formation boundary points determined during drilling using well logging and well data. This data provides the most reliable vertical depth control at discrete subsurface locations, used to calibrate and constrain the layer depths derived from seismic data and profiles.
[0015] S2. Construct a modeling profile framework. Based on the existing distribution of two-dimensional seismic survey lines and the regional tectonic trend, supplement geological structural profiles to form a high-density profile network composed of seismic survey lines and geological structural profiles. It should be noted that the core of step S2 is to create a profile network capable of controlling the structural morphology of the entire area. The specific implementation is as follows: First, the planar distribution and density of existing two-dimensional seismic survey lines (interval between survey lines is 6.4~53.8km) are analyzed to identify data gaps.
[0016] Secondly, based on regional tectonic characteristics (especially the main tectonic trends), geological structural profiles are scientifically designed and supplemented. Generally, profiles perpendicular to the tectonic trend best reflect the structural morphology, while profiles parallel to the trend help trace tectonic extension. These supplementary profiles interweave spatially with the original seismic lines, forming a significantly denser "skeleton network" covering the entire work area. This skeleton network serves as the spatial carrier and basic framework for all subsequent data fusion and model building.
[0017] S3. Perform fault data fusion. Based on the fault line data in the profile skeleton and combined with regional structural features, determine the spatial combination relationship of faults. It should be noted that step S3 includes: S31. Extract seismic interpretation fault lines, structural profile fault lines, and surface fault line data, and unify them into polygon files with depth information; S32. Merge multiple types of fault line data into a single fault line file using the polygon merging function; S33. Based on the regional tectonic characteristics, sort out the spatial combination relationship of fault lines and identify fault planes of different levels.
[0018] Specifically, the aim is to integrate fault information from different sources and scales into a unified three-dimensional fault system with reasonable spatial relationships. Implementation methods include: The fault line (Polygon) data contained in the two-dimensional seismic survey line interpretation results and geological structure profile map are extracted respectively.
[0019] The two types of fault line data mentioned above, along with the surface fault line data obtained from the digitization of the geological plan base map, were imported into software platforms such as Petrel.
[0020] By using the data fusion function of the software (such as Polygon Appending), these data representing different segments of the same fault are merged into a unified fault polygon file.
[0021] Based on regional tectonic features (such as thrust-nappe sequences), the spatial intersections, terminations, and combinations of these fault lines are analyzed manually or semi-automatically in three-dimensional space. This process identifies the main faults, secondary faults, and their hierarchical relationships, laying the foundation for establishing a logically sound fault model.
[0022] S4. Perform stratigraphic data fusion. Based on seismic survey lines, geological structure profiles, surface geological boundaries, and single-well stratigraphic data, generate a planar structural map of each key modeling interface. It should be noted that step S4 includes: S41. Extract seismic interpretation layer depth, geological structure profile layer depth, and surface geological boundary depth data, and unify them into polygon format; S42. Merge the above polygonal data with the single-well layered data to generate a merged stratigraphic file; S43. Using the Make Surface function, generate a three-dimensional spatial distribution map of each layer based on the fused stratigraphic line file and single-well stratification data.
[0023] Specifically, the goal is to construct a smooth and reasonable construction trend surface that integrates multi-source information for each key modeling layer (such as T1d). The specific process is as follows: Data preparation: Collect three types of line data for the same stratum: ① seismic interpretation stratum depth line (from S1), ② geological structural profile stratum depth line (from S1), ③ surface geological boundary depth line (generated by assigning elevation to the surface boundary). Simultaneously, prepare the corresponding single-well stratification data (point data) for this stratum.
[0024] Data fusion: First, the line data from the above three sources (all in Polygon format) are merged into a unified line dataset that represents the spatial trend of this layer.
[0025] Surface Generation: In Petrel software, the Make Surface module is used. The fused line dataset is used as the "Main Input," with its Z-value (depth) as the attribute; single-well stratified data is used as hard data points for calibration (Well Adjustment). By setting appropriate gridding parameters (e.g., GridSize is 50m x 50m in this example, and the Global interpolation method is selected), a preliminary structural trend surface for this stratum is generated. This process essentially utilizes multi-source line data to control the regional trend and performs local correction using high-precision well point data.
[0026] S5. Based on the fused fault data and stratigraphic data, the structural framework modeling method is used in Petrel software to sequentially establish the fault model and the three-dimensional stratigraphic model.
[0027] It should be noted that the framework modeling described in step S5 includes the following sub-steps: S51. Fault framework modeling: Import the fused fault line data, set the fault relationships and truncation methods, and establish a three-dimensional fault model. In step S51, for thrust faults, a cutoff relationship below is set so that the lower strata are cut off at the fault.
[0028] S52. Model Construction: Import the fused stratigraphic data, set the stratigraphic type according to the geological characteristics of each stratigraphic layer, and construct the initial stratigraphic model. In step S52, the stratigraphic type is set to at least one of the following based on the stratigraphic characteristics: Erosional, Discontinuous, Conformable, Base; Specifically, the types are: Erosional: used to simulate unconformities where the overlying strata erode the interface. Discontinuous: used to simulate faulted strata; the software constructs the strata on both sides of the fault. Conformable: used to simulate continuous sedimentary relationships; the software constructs parallel or nearly parallel strata. Base: used to define the bottom boundary of the model. Assigning an appropriate type to each stratum based on actual geological conditions (such as surface erosion, faulted mid-layers, and deep conformation in this example) is one of the crucial settings for ensuring the geological plausibility of the 3D model.
[0029] S53. Model Optimization: Set the model resolution and smoothing parameters, optimize and coordinate the model to obtain the final three-dimensional geological model.
[0030] Overall, step S5, based on the aforementioned data fusion results, utilizes algorithms from specialized modeling software to construct the final 3D digital geological model. Specifically, it employs the Structural Framework modeling method of Petrel software, which is a structured process: Fault Model Establishment: In the Fault Framework modeling step, import the fault line data that has been fused and organized using S3. Based on the fault properties (such as reverse faults), set appropriate truncation rules (such as "Below") in Fault Relationship, and the software will automatically generate continuous three-dimensional fault planes, forming the fracture system skeleton of the model.
[0031] Stratigraphic Model Establishment: In the Model Construction step, import all key stratigraphic structural surfaces generated by S4 in a top-to-bottom order. Based on the geological characteristics of each stratum, assign it an appropriate Horizon Type, such as Erosional for the surface, Discontinuous for fault-disrupted strata, Conformable for conformable strata, and Base for the bottom layer. The software will then construct the fractured stratigraphic units within the fault framework based on these surfaces and the established rules.
[0032] Model Optimization: In the Model Refinement step, the initially constructed model is meshed (with a model resolution of 50m) and smoothed to eliminate unnatural abrupt changes, ensure reasonable changes in formation thickness, and finally output a high-precision three-dimensional formation grid model.
[0033] Example 2: A major breakthrough has been achieved in the exploration of Permian shale gas in the Huaguoping area of Enshi, western Hubei Province. The Dalong Formation in the Enye 2 well in the area has reached the high gas content standard. This area is a key area for shale gas breakthroughs in Hubei Province and has great development potential. However, the 2D seismic survey lines in the working area are relatively sparse, making it impossible to carry out 3D modeling of faults and stratigraphic data based on the interpretation of 3D seismic data. Instead, it is necessary to fully integrate other types of data to carry out 3D geological modeling.
[0034] This invention uses the 1:200,000 Enshi sheet geological base map as its scope. Specifically, it describes how, under the background of sparse two-dimensional seismic survey lines, Petrel software is used to perform data fusion on two-dimensional seismic profile interpretation, geological structure profile, surface structure information and well stratification data. It sorts out the three-dimensional combination of faults and the planar distribution of nine sets of modeling stratigraphic layers (including T1d, P3, P2, O3, O1, E1q, E1n, Z1d and Nh), and uses the structural framework modeling method to establish a three-dimensional geological model of the Enshi sheet.
[0035] A 3D modeling method based on multi-data fusion in the context of sparse 2D seismic survey lines mainly includes the following steps: Establishment of seismic modeling profile skeleton The Enshi seismic survey area currently has 16 two-dimensional seismic survey lines with a spacing of 6.4 to 53.8 km. Overall, the two-dimensional seismic data is relatively sparse and cannot provide three-dimensional distribution data of faults and strata like traditional three-dimensional seismic survey areas.
[0036] Referring to the northeast-southwest tectonic trend characteristics of the region, geological structural profiles perpendicular to and parallel to the tectonic trend were selected. Figure 13 Articles (ESL1~ESL4, ESD1~ESD9, see) Figure 2 These geological structure profiles and the original seismic survey lines together form the framework network of the modeling profiles.
[0037] Data fusion. This mainly includes two aspects of fusion (faults and stratigraphic depth). Fault fusion considers regional tectonic characteristics, selecting seismic lines and geological structural profiles perpendicular to the structural trend, including 07XS2, YPZ97-1, YPZ97-4, 98yu-1, hgp2012-1, hgp2012-2, hgp2012-3, hgp2017-1, hgp2017-2, hgp2017-3, as well as ESL1, ESL2, ESL3, and ESL4. Figure 3 In addition, considering the characteristics of the regional thrust-nappe tectonic structure, these fault lines were spatially combined, ultimately identifying a total of 8 first-order fault planes, 8 second-order fault planes, and 2 third-order fault planes (such as...) in the working area. Figure 4 ).
[0038] Stratigraphic depth fusion refers to the fusion of seismic interpretation stratigraphic depth, geological structural profile stratigraphic depth, surface stratigraphic boundary depth data, and well drilling stratigraphic data to generate a depth planar map of the interface. Taking the bottom interface (T1d) of the Triassic Daye Formation as an example, the depth boundaries from seismic interpretation and geological structural profiles are the original polygon data, named Polygon_T1d1 (…). Figure 5 (Blue line), while the depth of the geological boundary on the surface is determined by using polygon editing to trace the boundary lines of the T1d, P3, P2, O3, O2, and E1q5 sets on the geological base map ( Figure 6 Using surface elevation data, boundary depth data is generated on the geological base map, and the file is named Polygon_T1d2. Figure 5 Purple line), single-well stratigraphic depth data in well tops ( Figure 5 (dots).
[0039] For the above three types of fused data, use the Make surface editing function on the main panel to generate a 3D distribution map of the T1d bottom interface. Figure 7 In the Make surface interface, the Main data in the input field is the merged stratigraphic line data T1d_All, and the Attribute is the Z element. In the Geometry tab, select Automatic for Grid size and Position (from input data / BOUNDARY), and set the Grid resolution to 50 and 50 respectively.
[0040] In the "well adjustment" tab, select the large ridge group _top (well tops 1), which is the T1d bottom interface. Select "z" for attribute. Select "global" for method. Click "OK" to generate the final output. Figure 8 .
[0041] Model Establishment. Given the complex fault characteristics of the Enshi area, which is dominated by multi-level thrust faults, the structural framework modeling method in Petrel software was used to establish a three-dimensional fault model and stratigraphic model for the working area.
[0042] Modeling a structural framework requires four steps: ①Fault framework, importing previously fused fault line data into relevant data ( Figure 9In the fault relationship interface, based on the characteristics of the thrust fault, in the fault relationship, truncation is set to below, and the lower part exceeding the fault is cut off. Figure 10 Finally, a fault model of the working area was established. Figure 11 ).
[0043] ②Establish modeling boundaries, selecting the 1:200,000 Enshi map boundary as the modeling boundary.
[0044] ③ Model construction: The layer data after merging the selected areas with the preceding data is used as input data. Additionally, the Horizon type is selected based on the characteristics of the selected layers. For the surface selection areas Erosional, T1d, P3, P2, O3w, O1w, and E2q have surface cuts, hence the selection areas are discontinuous. E1n and Z1d are selected as comfortable, while Nh is selected as Base. Figure 12 ).
[0045] ④ Model refinement. Set the model resolution to 50m, smoothing to 10, ignore special data to 100m, and maintain thickness consistency within each layer. Check the corresponding options. Figure 13 And will eventually create a 3D model of the work area. Figure 14 ).
[0046] Example 3: Please refer to Figure 15 , Figure 15 This is a schematic diagram of the system structure of the present invention.
[0047] A three-dimensional modeling system for a sparse two-dimensional seismic survey background includes: Data acquisition module: Collects and prepares multi-source data, including geological plan base map, regional tectonic feature information, two-dimensional seismic survey line interpretation results, geological structure profile map, surface geological boundary data and single-well layered data; Modeling profile skeleton construction module: Based on the existing distribution of 2D seismic survey lines and the trend of regional tectonic structures, geological structural profiles are added to form a high-density profile network composed of seismic survey lines and geological structural profiles; Fault data fusion module: Based on the fault line data in the profile skeleton, combined with regional structural features, determine the spatial combination relationship of faults; Stratigraphic data fusion module: Based on seismic survey lines, geological structure profiles, surface geological boundaries and single-well stratified data, it comprehensively generates planar structural maps of each key modeling interface; 3D model building module: In Petrel software, the construction framework modeling method is used to build fault models and 3D stratigraphic models in sequence.
[0048] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A three-dimensional modeling method for a sparse two-dimensional seismic survey background, characterized in that: Includes the following steps: S1. Collect and prepare multi-source data, including geological plan base map, regional tectonic feature information, two-dimensional seismic line interpretation results, geological structure profile map, surface geological boundary data and single-well layered data; S2. Construct a modeling profile framework. Based on the existing distribution of two-dimensional seismic survey lines and the regional tectonic trend, supplement geological structural profiles to form a high-density profile network composed of seismic survey lines and geological structural profiles. S3. Perform fault data fusion. Based on the fault line data in the profile skeleton and combined with regional structural features, determine the spatial combination relationship of faults. S4. Perform stratigraphic data fusion. Based on seismic survey lines, geological structure profiles, surface geological boundaries, and single-well stratigraphic data, generate a planar structural map of each key modeling interface. S5. Based on the fused fault data and stratigraphic data, the structural framework modeling method is used in Petrel software to sequentially establish the fault model and the three-dimensional stratigraphic model.
2. The three-dimensional modeling method for a sparse two-dimensional seismic survey background as described in claim 1, characterized in that: Step S3 includes: S31. Extract seismic interpretation fault lines, structural profile fault lines, and surface fault line data, and unify them into polygon files with depth information; S32. Merge multiple types of fault line data into a single fault line file using the polygon merging function; S33. Based on the regional tectonic characteristics, sort out the spatial combination relationship of fault lines and identify fault planes of different levels.
3. The three-dimensional modeling method for a sparse two-dimensional seismic survey background as described in claim 1, characterized in that: Step S4 includes: S41. Extract seismic interpretation layer depth, geological structure profile layer depth, and surface geological boundary depth data, and unify them into polygon format; S42. Merge the above polygonal data with the single-well layered data to generate a merged stratigraphic file; S43. Using the Make Surface function, generate a three-dimensional spatial distribution map of each layer based on the fused stratigraphic line file and single-well stratification data.
4. The three-dimensional modeling method for a sparse two-dimensional seismic survey background according to claim 1, characterized in that: The framework modeling described in step S5 includes the following sub-steps: S51. Fault framework modeling: Import the fused fault line data, set the fault relationships and truncation methods, and establish a three-dimensional fault model. S52. Model Construction: Import the fused stratigraphic data, set the stratigraphic type according to the geological characteristics of each stratigraphic layer, and construct the initial stratigraphic model. S53. Model Optimization: Set the model resolution and smoothing parameters, optimize and coordinate the model to obtain the final three-dimensional geological model.
5. A three-dimensional modeling method for a sparse two-dimensional seismic survey background according to claim 4, characterized in that, In step S51, for thrust faults, a cutoff relationship below is set so that the lower strata are cut off at the fault.
6. The three-dimensional modeling method for a sparse two-dimensional seismic survey background according to claim 1, characterized in that: In step S52, the stratigraphic type is set to at least one of the following based on the stratigraphic characteristics: Erosional, Discontinuous, Conformable, Base.
7. The three-dimensional modeling method for a sparse two-dimensional seismic survey background according to claim 1, characterized in that: In step S2, the layout direction of the geological structure profile includes perpendicular to the structural trend and parallel to the structural trend, so as to form a profile skeleton network covering the working area.
8. A three-dimensional modeling system for sparse two-dimensional seismic survey lines, characterized in that: include: Data acquisition module: Collects and prepares multi-source data, including geological plan base map, regional tectonic feature information, two-dimensional seismic survey line interpretation results, geological structure profile map, surface geological boundary data and single-well layered data; Modeling profile skeleton construction module: Based on the existing distribution of 2D seismic survey lines and the trend of regional tectonic structures, geological structural profiles are added to form a high-density profile network composed of seismic survey lines and geological structural profiles; Fault data fusion module: Based on the fault line data in the profile skeleton, combined with regional structural features, determine the spatial combination relationship of faults; Stratigraphic data fusion module: Based on seismic survey lines, geological structure profiles, surface geological boundaries and single-well stratified data, it comprehensively generates planar structural maps of each key modeling interface; 3D model building module: In Petrel software, the construction framework modeling method is used to build fault models and 3D stratigraphic models in sequence.