Large-scale offshore engineering geologic model modeling system and method

Abstract

The invention relates to a large-scale offshore engineering geologic model modeling system and method, and relates to the technical field of offshore engineering geologic investigation and modeling. According to the method, through the steps of multi-source data acquisition, preprocessing, fusion, three-dimensional geological modeling, model optimization, dynamic updating, visual analysis and the like, large-scale geological survey data can be efficiently processed, a high-precision three-dimensional geological model is generated, and dynamic updating and visual analysis are supported. The method has the advantages of high efficiency, high precision, real-time performance, engineering applicability and the like, and is suitable for geological modeling and geological condition analysis of engineering such as offshore wind power, submarine pipelines, ocean platforms and the like.

Description

Technical Field

[0001] The present invention relates to the technical field of marine engineering geological exploration and three-dimensional geological modeling, and in particular to a large-scale offshore engineering geological model modeling system and method, which is applicable to geological modeling and geological condition analysis of offshore projects such as offshore wind power and submarine pipelines. Background Art

[0002] In the construction of offshore projects, the accurate assessment of geological conditions is the key to ensuring the safety and economy of the project. Traditional exploration results are mainly presented using two-dimensional geological profiles and borehole data, which are difficult to comprehensively reflect complex geological structures. Especially in large-scale offshore projects, the spatial heterogeneity and uncertainty of geological conditions are relatively large. Although existing three-dimensional geological modeling technologies can provide more intuitive geological information, there are still deficiencies in data processing efficiency, model accuracy, and dynamic update capabilities.

[0003] Conventional engineering geological modeling mainly targets onshore or small-scale scenarios, relying on static data and single exploration means, and it is difficult to cope with the following challenges of offshore projects:

[0004] Insufficient data timeliness: Traditional methods rely on static data and are difficult to adapt to the dynamic changes of the marine environment (such as tides and seismic activities);

[0005] Low three-dimensional modeling accuracy: Conventional Kriging interpolation algorithms are not optimized for marine geological data, resulting in insufficient model stratification accuracy;

[0006] Low rendering efficiency for large-scale scenarios: Existing methods use a single LOD (Level of Detail) model and cannot meet the real-time rendering requirements of 300 km 2 class engineering scenarios;

[0007] Difficulty in multi-source data fusion: There is a lack of a unified spatial registration mechanism for heterogeneous data such as shallow profiling, drilling, and in-situ testing.

[0008] Therefore, there is an urgent need for an efficient, accurate and applicable geological model modeling system and method for large-scale offshore projects to meet the needs of modern marine engineering. Summary of the Invention

[0009] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a large-scale offshore engineering geological model modeling system and method, which can efficiently process large-scale geological exploration data, generate high-precision three-dimensional geological models, and support dynamic update and visualization analysis.

[0010] The above invention purpose of the present invention is achieved through the following technical solutions:

[0011] On the one hand, the present invention discloses a large-scale offshore engineering geological model modeling method, including the following steps:

[0012] Step 1: Construct a digital baseplate: Obtain seabed topography and geomorphic information through various means such as bathymetric survey, sidescan sonar, and oblique photography, and obtain land terrain information through oblique photography. On this basis, construct a land-sea integrated terrain model to form a digital baseplate;

[0013] Step 2: Data collection and transmission: Obtain multi-source geological data of seabed strata, lithology, and sediments through various means such as seabed drilling, shallow stratigraphic profile, and in-situ seabed testing;

[0014] Step 3: Data preprocessing: Perform denoising, calibration, and interpolation preprocessing operations on the collected raw data;

[0015] Step 4: Data fusion: Integrate multi-source geological data and construct a unified spatial coordinate system;

[0016] Step 5: 3D geological modeling: Based on the fused data, use geostatistical methods and Kriging interpolation algorithms to generate a 3D geological model;

[0017] Step 6: Model optimization: Optimize the data volume of the 3D geological model through digital-analog separation, parametric geometric models, and image data compression techniques;

[0018] Step 7: Dynamic update: Support real-time data access and model updates;

[0019] Step 8: Visualization and analysis: Provide an interactive 3D visualization interface and geological data analysis tools.

[0020] As a further technical solution of the present invention: In the said Step 2, the multi-source geological data is uploaded to the data processing center in real time through wireless or wired transmission methods.

[0021] As a further technical solution of the present invention: In the said Step 4, a data fusion algorithm is used to integrate information from different data sources to generate a consistent spatial data model.

[0022] As a further technical solution of the present invention: In the said Step 5, the model is refined through geostatistical methods and Kriging interpolation algorithms.

[0023] As a further technical solution of the present invention: In the said Step 6, digital-analog separation, parametric geometric models, and image data compression techniques are used to perform efficient rendering on the model.

[0024] On the other hand, the present invention also discloses a large-scale offshore engineering geological model modeling system, including:

[0025] Digital floor construction module: used to construct a land-sea integrated terrain model based on information obtained by bathymetry, sidescan sonar, and oblique photography;

[0026] Data acquisition module: used to obtain multi-source geological data such as seabed strata, lithology, and sediment through various means such as seabed drilling, shallow stratigraphic profiling, and in-situ seabed testing;

[0027] Data preprocessing module: used to perform preprocessing operations such as denoising, calibration, and interpolation on the collected raw data;

[0028] Data fusion module: used to fuse multi-source geological data and construct a unified spatial coordinate system;

[0029] 3D geological modeling module: used to generate a 3D geological model based on the fused data using geostatistical methods and Kriging interpolation algorithms;

[0030] Model optimization module: used to optimize the data volume of the 3D geological model through digital-analog separation, parametric geometric models, and image data compression techniques;

[0031] Dynamic update module: used to support real-time data access and model updates;

[0032] Visualization and analysis module: used to provide an interactive 3D visualization interface and geological data analysis tools.

[0033] In summary, the present invention includes at least one of the following beneficial technical effects:

[0034] The present invention discloses a large-scale offshore engineering geological model modeling system and method, which constructs a land-sea integrated digital floor by fusing multi-source data such as multibeam bathymetry, sidescan sonar, and oblique photography, generates an initial 3D geological model using an improved dynamic Kriging interpolation algorithm, and optimizes the model using octree segmentation and parametric modeling techniques. The present invention achieves a technical effect of improving the model accuracy to the 0.5m level and maintaining a stable rendering frame rate above 30FPS in a 300km-class offshore engineering scenario, and solves the problems of insufficient accuracy and low efficiency existing in traditional methods for large-scale marine engineering geological modeling. 2 Compared with the prior art, the present invention has the following characteristics:

[0035] High efficiency: significantly improves data processing efficiency and modeling speed through multi-source data fusion and geostatistical methods.

[0036] High precision: ensures that the generated 3D geological model has high precision by using advanced Kriging interpolation algorithms and data preprocessing methods.

[0037]

[0038] ​Real-time performance: It supports real-time data access and dynamic model updates, and can quickly respond to changes in exploration data.

[0039] Engineering applicability: The visualization interface and interactive functions can provide scientific geological basis and data analysis for offshore projects. Brief Description of the Drawings

[0040] Figure 1 It is a structural block diagram of the large offshore engineering geological model modeling system of the present invention.

[0041] Figure 2 It is a schematic diagram of the digital floor construction process of the present invention.

[0042] Figure 3 It is a schematic diagram of the data collection and preprocessing process of the present invention.

[0043] Figure 4 It is a schematic diagram of the three-dimensional geological modeling and optimization process of the present invention.

[0044] Figure 5 It is a schematic diagram of the dynamic update process of the present invention. Detailed Embodiments

[0045] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application; obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present application.

[0046] In the description of the present application, it should be noted that the orientation or positional relationship indicated by the terms "upper", "lower", "inner", "outer", "top / bottom end", etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation to the present application. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0047] In the description of the present application, it should be noted that unless otherwise clearly specified and limited, the terms "installed", "provided with", "sheathed / connected", "connected", etc. should be understood in a broad sense. For example, "connected" 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 directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific situations.

[0048] Example 1:

[0049] Refer to Figure 2-5 , a large-scale offshore engineering geological model building method disclosed by the present invention, includes the following steps:

[0050] Step 1, construct a digital baseplate: Through various means such as bathymetric survey, side-scan sonar, and oblique photography, obtain seabed topography and geomorphic information, and obtain land terrain information through oblique photography. On this basis, construct a land-sea integrated terrain model to form a digital baseplate;

[0051] Step 2, data collection and transmission: Through various means such as subsea drilling, shallow stratigraphic profiling, and in-situ subsea testing, obtain multi-source geological data of the seabed strata, lithology, and sediment;

[0052] Step 3, data preprocessing: Perform denoising, calibration, and interpolation preprocessing operations on the collected original data;

[0053] Step 4, data fusion: Integrate multi-source geological data, construct a unified spatial coordinate system, and ensure spatial consistency between different data sources;

[0054] Step 5, three-dimensional geological modeling: Based on the fused data, use geostatistical methods and Kriging interpolation algorithms to generate a three-dimensional geological model;

[0055] Step 6, model optimization: Optimize the data volume of the three-dimensional geological model through digital-analog separation, parametric geometric models, and image data compression technologies. Specifically, use data structures such as octrees to eliminate invisible primitives, reduce the drawing objects entering the rendering area, and for image data such as textures, reduce the data volume through compression to ensure real-time rendering performance in large-scale scenarios, where "digital-analog separation" means separating and storing the numerical model and the geometric model; "octree segmentation" refers to a three-dimensional data structure based on spatial recursive partitioning;

[0056] Step 7, dynamic update: Support real-time data access and model update. Specifically, support real-time data access and model update, and be able to dynamically adjust the three-dimensional geological model according to new exploration data to ensure the timeliness of the model;

[0057] Step 8, visualization and analysis: Provide an interactive three-dimensional visualization interface and geological data analysis tools. Specifically, provide an interactive three-dimensional visualization interface, support users to perform operations such as rotating, scaling, and cross-section analysis on the model, and support multi-dimensional analysis such as stratigraphic comparison and lithology identification.

[0058] In step 2, the multi-source geological data is uploaded to the data processing center in real time via wireless or wired transmission. In step 4, a data fusion algorithm is used to integrate the information from different data sources to generate a consistent spatial data model. In step 5, the model is refined through geostatistical methods and Kriging interpolation algorithm. In step 6, digital-analog separation, parametric geometric model, and image data compression techniques are used to efficiently render the model.

[0059] In step 3, the denoising process is specifically implemented as follows:

[0060] Side-scan sonar data: A hybrid denoising algorithm combining wavelet transform and morphological filtering is adopted, and the threshold λ = 3σ (σ is the standard deviation of background noise) is set;

[0061] Processing of outliers in drilling data: Sliding window filtering based on the 3σ criterion, and the window size is set to the spatial range of 5 adjacent borehole points;

[0062] Correction of shallow profile data: Apply the seawater sound velocity profile compensation algorithm, and the specific formula is:

[0063] v(z) = 1449.2 + 4.6T - 0.055T 2 + 0.00029T 3 +(1.34 - 0.01T)(S - 35)+0.016z;

[0064] where T is the water temperature (°C), S is the salinity (‰), and z is the water depth (m).

[0065] The data interpolation method is as shown in Table 1 below:

[0066] Table 1

[0067]

[0068] In step 4, when constructing a unified spatial coordinate system, the conversion parameters between WGS84 and local coordinate system are established: The seven-parameter model includes 3 translation amounts (ΔX, ΔY, ΔZ), 3 rotation amounts (ε_X, ε_Y, ε_Z), and a scale factor m; Dynamic projection processing: When the tidal change > 0.5m is detected, the vertical datum conversion is automatically triggered.

[0069] In step 5, the Kriging interpolation algorithm is as follows:

[0070] Dynamic variogram adjustment: Introduce a sliding window mechanism, and the window size adapts to changes according to the data density:

[0071]

[0072] where N(h) is the number of data pairs corresponding to the lag distance h;

[0073] Seabed topography constraint: Using the seabed slope as a covariate, a co-kriging model is established;

[0074] Interpolation accuracy control: The optimal search radius is determined through cross-validation, and the RMSE threshold is set to ≤0.3 m.

[0075] Example 2:

[0076] Refer to Figure 1 , the present invention also discloses a large-scale offshore engineering geological model modeling system, including:

[0077] Digital floor construction module: Used to construct a land-sea integrated terrain model through information obtained by bathymetry, side-scan sonar, and oblique photography. Specifically, the seabed topography is obtained through bathymetry, the seabed geomorphic information is obtained through side-scan sonar, and the land terrain information is obtained through oblique photography. On this basis, a land-sea integrated terrain model is constructed to form a digital floor;

[0078] Data acquisition module: Used to obtain multi-source geological data such as seabed strata, lithology, and sediments through various means such as seabed drilling, shallow stratigraphic profiling, and in-situ seabed testing. Specifically, geotechnical samples are obtained through seabed drilling, the distribution of seabed sediment layers is obtained through shallow stratigraphic profiling, and multi-source geological data such as seabed strata geotechnical parameters are obtained through in-situ testing means. All data is uploaded to the data processing center in real time through wireless or wired transmission methods;

[0079] Data preprocessing module: Used to perform denoising, calibration, and interpolation preprocessing operations on the collected raw data, remove outliers and noise, fill in data missing areas, and ensure the integrity and accuracy of the data;

[0080] Data fusion module: Used to fuse multi-source geological data and construct a unified spatial coordinate system. Specifically, the land-sea integrated terrain model and multi-source geological data are unified into the same spatial coordinate system, and a data fusion algorithm is used to integrate information from different data sources to generate a consistent spatial data model;

[0081] 3D geological modeling module: Used to generate a 3D geological model based on the fused data using geostatistical methods and kriging interpolation algorithms. Specifically, based on the fused data, an initial 3D geological model is generated, and geostatistical methods and kriging interpolation algorithms are used to refine the model to generate a high-precision 3D geological model;

[0082] Model optimization module: used to optimize the data volume of the 3D geological model through digital-analog separation, parametric geometric model and image data compression technology. Specifically, octree and other data structures are used to remove invisible primitives to achieve digital-analog separation. The 3D geological model is optimized for hierarchical details through parametric geometric description methods. For image data such as textures, the data volume is reduced through compression to ensure efficient rendering performance in large-scale scenes.

[0083] Dynamic update module: used to support real-time data access and model update. Specifically, the system supports real-time data access and can dynamically adjust the 3D geological model according to new survey data to ensure the timeliness and accuracy of the model.

[0084] Visualization and analysis module: used to provide interactive 3D visualization interface and geological data analysis tools. Specifically, it provides an interactive 3D visualization interface through which users can rotate, zoom, and perform cross-section analysis. The system also integrates geological data analysis tools to support multi-dimensional analysis such as stratigraphic comparison and lithology identification.

[0085] The implementation principle of the present invention is as follows: the present invention discloses a large-scale offshore engineering geological modeling system and method, which builds a sea-land integrated digital baseplate by fusing multi-source data such as multi-beam bathymetry, side-scan sonar, and oblique photography, uses an improved dynamic Kriging interpolation algorithm to generate an initial three-dimensional geological model, and uses octree segmentation and parameterized modeling technology to optimize the model. The present invention has achieved 300km 2 The technical effect of improving the model accuracy to 0.5m level and stabilizing the rendering frame rate to above 30FPS in large-scale offshore engineering scenarios solves the problems of insufficient accuracy and low efficiency existing in traditional methods in large-scale marine engineering geological modeling.

[0086] The embodiments of this specific implementation method are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for modeling a large-scale offshore engineering geological model, characterized in that, It includes the following steps: Step 1, constructing a digital baseplate: By means of bathymetric survey, sidescan sonar, and oblique photography, obtain seabed topography and geomorphic information, and obtain land terrain information through oblique photography. On this basis, construct a land-sea integrated terrain model to form a digital baseplate; Step 2, data acquisition and transmission: Through various means such as seabed drilling, shallow stratum profiling, and seabed in-situ testing, obtain multi-source geological data of seabed strata, lithology, and sediments; Step 3, data preprocessing: Perform denoising, calibration, and interpolation preprocessing operations on the collected original data; Step 4, data fusion: Integrate multi-source geological data and construct a unified spatial coordinate system; Step 5, 3D geological modeling: Based on the fused data, use geostatistical methods and Kriging interpolation algorithms to generate a 3D geological model; Step 6, model optimization: Optimize the data volume of the 3D geological model through digital-analog separation, parametric geometric models, and image data compression techniques; Step 7, dynamic update: Support real-time data access and model update; Step 8, visualization and analysis: Provide an interactive 3D visualization interface and geological data analysis tools.

2. The large-scale offshore engineering geological model modeling method according to claim 1, characterized in that In the said Step 2, the multi-source geological data is uploaded to the data processing center in real time through wireless or wired transmission methods.

3. A method for modeling a large-scale offshore engineering geological model according to claim 1, characterized in that, In the said Step 4, use a data fusion algorithm to integrate information from different data sources and generate a consistent spatial data model.

4. A method for modeling a large-scale offshore engineering geological model according to claim 1, characterized in that In the said Step 5, refine the model through geostatistical methods and Kriging interpolation algorithms.

5. A modeling method for a large-scale offshore engineering geological model according to claim 1, characterized in that, In the said Step 6, use digital-analog separation, parametric geometric models, and image data compression techniques to perform efficient rendering on the model.

6. A large-scale offshore engineering geological model modeling system, characterized in that, It includes: Digital baseplate construction module: Used to construct a land-sea integrated terrain model based on the information obtained by means of bathymetric survey, sidescan sonar, and oblique photography; Data acquisition module: Used to obtain multi-source geological data such as seabed strata, lithology, and sediments through various means such as seabed drilling, shallow stratum profiling, and seabed in-situ testing; Data preprocessing module: Used to perform denoising, calibration, and interpolation preprocessing operations on the collected original data; Data fusion module: Used to fuse multi-source geological data and construct a unified spatial coordinate system; 3D geological modeling module: Used to generate a 3D geological model based on the fused data by using geostatistical methods and Kriging interpolation algorithms; Model optimization module: Used to optimize the data volume of the 3D geological model through digital-analog separation, parametric geometric models, and image data compression techniques; Dynamic update module: Used to support real-time data access and model update; Visualization and analysis module: Used to provide an interactive 3D visualization interface and geological data analysis tools.

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