Offshore wind power engineering geological model and modeling method based on geological exploration data consistency

Abstract

The application discloses a marine wind power engineering geological model and a modeling method based on consistency of geological exploration data. When the engineering geological model is modeled, an initial engineering geological model is first constructed according to regional geological data, then engineering geophysical exploration data and rock-soil investigation data are obtained according to application requirements of various stages of the marine wind power, the data are input into the engineering geological model and consistency correction is performed, so that the data and results of various stages of the marine wind power development, the data and results of the rock-soil investigation and the engineering geophysical exploration are associated, and the engineering geological model is iteratively upgraded. Compared with the prior art, the reliability and accuracy of the data in the engineering geological model are high, and the final engineering geological model can output accurate analysis results.

Description

Technical Field

[0001] This invention relates to the field of offshore wind farm modeling technology, and in particular to an offshore wind power engineering geological model and modeling method based on the consistency of geological survey data. Background Technology

[0002] Offshore wind power has a bright future and great potential. Developing offshore wind power is conducive to actively addressing climate change, accelerating the transformation of the energy structure, and promoting the high-quality development of the marine economy. However, compared with onshore hydropower or wind power projects, offshore wind power projects are more challenging.

[0003] Offshore wind power development is a full life-cycle project with a long time span. In traditional engineering geological models, the data and results between the geological exploration stage and other stages, as well as between geotechnical exploration and engineering geophysical exploration, are not connected. The data is not fully utilized, resulting in insufficient reliability and accuracy of the data in traditional engineering geological models, and inaccurate analysis results from engineering geological models.

[0004] Therefore, existing technologies need to be improved and enhanced. Summary of the Invention

[0005] The main objective of this invention is to provide a geological model for offshore wind power projects based on the consistency of geological survey data, a modeling method, a smart terminal, and a storage medium, aiming to solve the problem of inaccurate analysis results of engineering geological models in the prior art.

[0006] To achieve the above objectives, the first aspect of the present invention provides a geological modeling method for offshore wind power projects based on the consistency of geological survey data, wherein the method includes:

[0007] Obtain regional geological data;

[0008] An initial engineering geological model was constructed based on the regional geological data;

[0009] Based on the current application requirements of offshore wind power, acquire engineering geophysical data and geotechnical investigation data;

[0010] The engineering geophysical data and the geotechnical investigation data are input into the engineering geological model and consistency correction is performed based on the consistency of the geological investigation data.

[0011] Based on the corrected engineering geophysical data and corrected geotechnical investigation data, the model data and model functions of the engineering geological model are iteratively upgraded.

[0012] When all application requirements of offshore wind power are met, the final engineering geological model is obtained; otherwise, based on the next application requirement of offshore wind power, engineering geophysical data and / or geotechnical investigation data are obtained to iteratively upgrade the engineering geological model.

[0013] Optionally, after acquiring engineering geophysical data and geotechnical investigation data, the following may also be included:

[0014] Update the engineering geophysical data and the geotechnical investigation data based on the same coordinate reference system;

[0015] Define the reference datum and tidal correction method used for data comparison in the consistency analysis.

[0016] Optionally, the consistency correction based on geological data consistency includes:

[0017] Based on the consistency of data acquisition and the data acquisition method, the engineering geophysical data and the geotechnical investigation data are respectively corrected.

[0018] Based on the consistency of data acquisition and analysis, a multi-dimensional cross-validation method is used to cross-validate the engineering geophysical data and the geotechnical investigation data.

[0019] Optional, also includes:

[0020] Based on the integration of the engineering geophysical data and the geotechnical investigation data, and according to the spatiotemporal differences and consistency, the spatial characteristics of the engineering geophysical data and the temporal characteristics of the geotechnical investigation data are obtained and input into the engineering geological model.

[0021] Optionally, the iterative upgrade of the engineering geological model's data and functions based on the corrected engineering geophysical data and corrected geotechnical investigation data includes:

[0022] The model data in the engineering geological model is iteratively upgraded using either incremental or fusion methods, based on the corrected engineering geophysical data and the corrected geotechnical investigation data.

[0023] Based on the iteratively upgraded model data, the model functions of the engineering geological model are iteratively upgraded.

[0024] A second aspect of the present invention provides a geological model for offshore wind power projects based on the consistency of geological survey data, wherein the model includes:

[0025] The data module is used to manage and store regional geological data, engineering geophysical data, and geotechnical investigation data for each stage of offshore wind power development.

[0026] The functional module is used to integrate point-based geotechnical engineering exploration and regional engineering geophysical exploration based on engineering geophysical exploration data and geotechnical investigation data, so as to meet the application needs of various stages of offshore wind power.

[0027] The calibration module is used to perform consistency calibration on engineering geophysical exploration data and geotechnical investigation data based on the consistency of geological exploration data;

[0028] The upgrade module is used to upgrade the engineering geological model based on the corrected engineering geophysical data and the corrected geotechnical investigation data.

[0029] Optionally, the correction module includes a single verification unit and a cross-verification unit. The single verification unit is used to perform correction processing on the engineering geophysical data and the geotechnical investigation data based on the consistency of data acquisition and the data acquisition method, respectively. The cross-verification unit is used to perform cross-verification on the engineering geophysical data and the geotechnical investigation data using a multi-dimensional cross-verification method based on the consistency of data acquisition and analysis.

[0030] Optionally, the upgrade module includes a data upgrade unit and a function upgrade unit. The data upgrade unit is used to iteratively upgrade the model data in the engineering geological model in an incremental or fusion manner based on the corrected engineering geophysical data and the corrected geotechnical engineering investigation data. The function upgrade unit is used to iteratively upgrade the model functions in the engineering geological model based on the iteratively upgraded model data to realize the application of offshore wind power.

[0031] A third aspect of the present invention provides a smart terminal, the smart terminal including a memory, a processor, and a geological modeling program for offshore wind power engineering based on the consistency of geological survey data stored in the memory and executable on the processor, wherein the geological modeling program for offshore wind power engineering based on the consistency of geological survey data, when executed by the processor, implements any one of the steps of the geological modeling method for offshore wind power engineering based on the consistency of geological survey data.

[0032] A fourth aspect of the present invention provides a computer-readable storage medium storing a geological modeling program for offshore wind power engineering based on the consistency of geological survey data. When the geological modeling program for offshore wind power engineering based on the consistency of geological survey data is executed by a processor, it implements any of the steps of the geological modeling method for offshore wind power engineering based on the consistency of geological survey data.

[0033] As can be seen from the above, the present invention first constructs an initial engineering geological model based on regional geological data, then obtains engineering geophysical data and geotechnical investigation data according to the application requirements of each stage of offshore wind power, inputs them into the engineering geological model and performs consistency correction, so as to establish a correlation between the data and results of each stage of offshore wind power development, and the data and results of geotechnical investigation and engineering geophysical exploration. Then, the engineering geological model is iteratively upgraded to improve the reliability and accuracy of the data in the engineering geological model, so that the final engineering geological model can output accurate analysis results. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 This is a flowchart illustrating the geological modeling method for offshore wind power projects based on the consistency of geological survey data provided in this embodiment of the invention.

[0036] Figure 2 yes Figure 1 A schematic diagram of the initial engineering geological model in the embodiment;

[0037] Figure 3 yes Figure 1 A schematic diagram of the initial engineering geological model upgrade and side-channel sonar mosaic in the embodiment;

[0038] Figure 4 yes Figure 1 A detailed flowchart of step S400 in the embodiment is shown below;

[0039] Figure 5 yes Figure 1 A schematic diagram of multibeam data consistency analysis in engineering geophysical exploration in the embodiment;

[0040] Figure 6 yes Figure 1 A schematic diagram illustrating the consistency analysis between engineering geophysical exploration data and geotechnical investigation CPT data in the embodiment;

[0041] Figure 7 This is a schematic diagram of a geological model for offshore wind power engineering based on the consistency of geological survey data provided in an embodiment of the present invention;

[0042] Figure 8 This is an implementation flowchart for applying engineering geological models to offshore wind power development;

[0043] Figure 9 This is a block diagram illustrating the internal structure of a smart terminal provided in an embodiment of the present invention. Detailed Implementation

[0044] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of the invention. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted so as not to obscure the description of the invention with unnecessary detail.

[0045] It should be understood that, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0046] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0047] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0048] As used in this specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrases "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0049] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0050] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0051] Offshore wind power has a bright future and great potential. Developing offshore wind power is conducive to actively addressing climate change, accelerating the transformation of my country's energy structure, and promoting the high-quality development of the marine economy. However, compared with onshore hydropower or wind power projects, offshore wind power projects are more challenging.

[0052] Offshore wind power projects mainly consist of five parts: geological exploration engineering technology, structural engineering technology, geotechnical engineering technology, construction technology, and operation and maintenance technology. Marine geological exploration technology (hereinafter referred to as "marine exploration") refers to the technology of obtaining objective information and data regarding seabed topography, geomorphology, stratigraphic distribution, and geotechnical engineering characteristics through exploration tools and data processing. Given the high-tech, high-investment, and high-risk characteristics of offshore wind power projects, the completeness and reliability of marine exploration data are inherent requirements for the implementation of marine development and engineering construction.

[0053] Marine geological exploration targets the ever-changing seabed environment. Marine development typically covers large areas, but point-to-point surveys in marine geological exploration are costly and difficult, with a much lower survey density per unit area compared to onshore engineering. Traditional engineering geological models separate geotechnical investigation from engineering geophysical exploration in their analysis and reporting methods; data analysis, results, and reports from different stages are also independent; and data is not fully utilized. Even if sufficient data and results are obtained from a particular survey at a certain stage according to work requirements, the lack of connection between stages and between surveys leads to insufficient data utilization, resulting in inaccurate data reliability and accuracy in traditional engineering geological models, and consequently, inaccurate analysis results.

[0054] To address the aforementioned issues, this invention provides a geological modeling method for offshore wind power projects based on the consistency of geological survey data. It inputs engineering geophysical, geological, and geotechnical data acquired at different stages of offshore wind power development into the engineering geological model, and uses consistency analysis technology to refine the data and improve the signal-to-noise ratio. The engineering geological model is repeatedly validated and expanded to achieve iterative upgrades. An iterative engineering geological model integrating consistency analysis technology and engineering geological modeling is created to provide a complete lifecycle for offshore wind power development. This not only improves the data accuracy and reliability of the engineering geological model and outputs accurate analysis results, but also expands the model's applicability.

[0055] Exemplary methods

[0056] like Figure 1 As shown, this embodiment of the invention provides a geological modeling method for offshore wind power projects based on the consistency of geological survey data, which can be deployed on various electronic terminals, such as mobile terminals, computers, or servers. Specifically, the above method includes the following steps:

[0057] Step S100: Obtain regional geological data;

[0058] Specifically, regional geological data directly utilizes geological data obtained by previous researchers during their work in the region. This data can be obtained through publicly published literature, books, or from relevant institutions. Regional geological data includes both structured data with fixed formats and semi-structured data with variable formats but relatively fixed structures. For example, water depth data collected by previous researchers using geophysical depth gauges in a three-dimensional XYZ format is structured data, while seafloor depth maps drawn from this data are semi-structured data. However, semi-structured reports, text, and charts from literature are the primary forms of data. Some maps need to be converted into semi-structured data with geospatial information, for example, using the Georeferencing tool in ArcGIS or QGIS to convert a regional geological map from a document into semi-structured data with geospatial information.

[0059] If the regional geological data lacks coordinate information, geospatial annotations are required. For example, images of soil and rock samples taken with a regular camera without GPS require geospatial annotations using software such as Geospatializer during post-processing. There are no standard formats or requirements for geospatial annotations; however, specific guidelines can be found in the standards of the Open Geospatial Consortium (www.opengeospaital.org).

[0060] Step S200: Construct an initial engineering geological model based on regional geological data;

[0061] Specifically, an engineering geological model is an approximation of geological conditions created to solve engineering problems. Early discussions suggested that the complexity of geotechnical engineering stemmed from changes in geological conditions and the processes of those changes, which could be described using engineering geological models.

[0062] First, an initial engineering geological model is constructed based on regional geological data during the initial planning stage of offshore wind power development. Throughout the entire life cycle of offshore wind power development, the engineering geological model is continuously upgraded and optimized based on the wind power application of the wind farm to obtain the final engineering geological model. The final model is a complete and reliable model required for an offshore wind farm.

[0063] The initial engineering geological model was developed in the form of a three-dimensional observation model based on geospatial information. This model combines regional geological data with existing data and analysis results from geotechnical investigations and engineering geophysical surveys.

[0064] The initial engineering geological model had only a small amount of model data, such as electronic nautical charts of the planning area, but it still predicted geological conditions and potential geological hazards, providing information for marine exploration in the subsequent feasibility study phase. Figure 2This displays a simple initial model consisting only of a Google Maps screenshot. The model shows partial information on "Regional Geology and Structure" and "Submarine Topography".

[0065] The initial engineering geological model's functional modules include: a geology and hazard module, a soil and rock properties module, and a soil and rock parameters module. However, these modules contain only a limited amount of information; for example, the geology and hazard module generates regional geological information, and the soil and rock properties module inputs seabed sediment grain sizes. In reality, these functional modules are merely conceptual, serving the purpose of programming. In actual geology and engineering, the development of any specific engineering geological model will involve a series of shared technologies, and these modules are interconnected.

[0066] Step S300: Based on the current application requirements of offshore wind power, obtain engineering geophysical data and geotechnical investigation data;

[0067] Specifically, the application requirements of offshore wind power vary, and the types and accuracy requirements for engineering geophysical exploration data and geotechnical investigation data also differ. Therefore, it is necessary to acquire engineering geophysical exploration data and geotechnical investigation data based on the current application needs of offshore wind power.

[0068] Engineering geophysical data is obtained through offshore engineering geophysical surveys. Commonly used raw data is structured data, including location data, single-beam or multi-beam bathymetry, side-channel sonar data, shallow profiling, electrical spark data, high-resolution seismic data, and magnetic data. The raw data undergoes post-processing to produce structured data in standard formats. Each type of data does not necessarily require the same format; for example, seismic data uses the SEGY format, multi-beam bathymetry uses the XYZ ASCII format, and side-channel sonar uses the GeoTIFF image format. The data typically covers the entire area; therefore, engineering geophysical data is also called surface data.

[0069] Engineering geophysical surveys are typically conducted before geotechnical investigations, providing a basis for the design of the geotechnical investigation work. Although industry standards stipulate that engineering geophysical surveys acquire dense two-dimensional grid data, a three-dimensional volumetric display can still be constructed based on this. The geophysical methods used vary depending on the stage of wind power development and the specific application, generally including, but not limited to, multibeam or single-beam bathymetry, side-channel sonar, shallow profiling, single-channel or multi-channel seismic, magnetic, and geological sampling. Engineering geophysical surveys primarily acquire structured data, but after processing, analysis, and interpretation, the results can also be semi-structured data, which can be directly used after being input into the engineering geological model. Figure 3 This is a mosaic of sonar data, showing the results of an engineering geophysical survey of an artificial reef on the seabed of a wind farm.

[0070] Geotechnical investigation data is obtained through geotechnical engineering investigation and is divided into in-situ field testing and laboratory testing data. This includes structured data such as CPT (cone penetration test) and experimental depth sounding, and semi-structured data such as sample images and site descriptions from field sampling. Since the data represents the geotechnical characteristics of a specific borehole sampling point, geotechnical investigation data is point data. Geotechnical engineering investigation involves obtaining and testing in-situ samples through borehole sampling, or conducting in-situ testing through boreholes. The borehole location should be on the engineering exploration line and at the designed wind turbine site. The specific process of geotechnical engineering investigation is as follows: First, an operation plan is established based on the initial engineering geological model. Depending on the site's geological conditions (e.g., strata, water depth, and geological hazards), project needs, options, and applicability / limitations, the plan involves: 1) engineering drilling, 2) sampling and in-situ testing, and 3) geotechnical laboratory testing. It should be noted that as field data is continuously acquired, available information increases, and field operating conditions change, the geotechnical engineering investigation operation plan may be modified on-site as necessary. It is important to obtain sufficient samples for engineering geological models in order to establish the correlation between experimental test results and CPT parameters and to determine the different soil and rock properties required to understand wind turbine foundation studies.

[0071] If geophysical and geotechnical investigation data lack coordinate information, geospatial annotations are required. For example, images of soil and rock samples taken with a regular camera without GPS require geospatial annotations using software such as Geospatializer during post-processing. There are no standard formats or requirements for geospatial annotations; however, specific guidelines can be found in the Open Geospatial Consortium (www.opengeospaital.org).

[0072] Before inputting engineering geophysical and geotechnical investigation data into the engineering geological model, special attention must be paid to the fixed coordinate reference system (CRS) and reference datum. Any suitable CRS can be used; however, once selected, it is recommended that all data adhere to the same CRS. If some data have different CRSs, coordinate transformation must be performed before data input, i.e., converting the coordinate data of the engineering geophysical and geotechnical investigation data to the same coordinate reference system. Additionally, a fixed reference datum and tidal correction method should be specified for the engineering geological model. This will allow for better comparison of data acquired at different times, such as multibeam data, in consistency analyses.

[0073] Preferably, it is best to establish a fixed reference point and perform reference calibration on the reference datum before each engineering geophysical survey.

[0074] Preferably, all model data are stored in a common data format according to the requirements of engineering geophysical survey and geotechnical investigation specifications. The data format can refer to two industry standards: the Marine Environmental Data and Information Network (MEDIN) data standard and the Association of Geotechnical and Geological Environment Specialists (AGS) data transmission format.

[0075] Step S400: Input the engineering geophysical data and geotechnical investigation data into the engineering geological model and perform consistency correction based on the consistency of the geological investigation data;

[0076] Specifically, given the high-tech, high-investment, and high-risk nature of marine engineering, the completeness and reliability of marine geological survey data are inherent requirements for the implementation of marine development and engineering construction. Marine geological survey data has the following two basic requirements: 1) low data dispersion, to make the interaction analysis between seabed soil and marine engineering foundation structures (e.g., resonance and fatigue analysis of offshore wind turbines) more feasible; 2) no significant deviation of data from the "true value," ensuring the safety of marine engineering foundation design and installation. Because marine geological survey testing involves multiple stages, it is affected by various factors such as the operating environment, instruments and equipment, personnel, and operating techniques. Test errors generated in a single stage are transmitted and accumulated within the engineering geological model. Furthermore, soil is a nonlinear, multiphase viscous material with multifaceted physical and mechanical characteristics. Moreover, the depositional environment and history of each soil mass are unique, making it difficult to determine the standard or true values ​​of its physical and mechanical characteristic parameters, resulting in difficulties in identifying survey errors. Therefore, it is necessary to perform consistency correction on engineering geophysical exploration data and geotechnical investigation data based on the concept of consistency in marine geological surveys to fully integrate the two data, thereby improving the reliability and accuracy of the data. Whether the consistency correction is sufficient and reasonable affects the modeling speed of the engineering geological model and the performance of the final model.

[0077] In this embodiment, as Figure 4 As shown, consistency correction mainly includes the following steps;

[0078] Step S410: Based on the consistency of data acquisition and the data acquisition method, perform correction processing on the engineering geophysical data and the geotechnical investigation data respectively;

[0079] Specifically, consistency in engineering geophysical data acquisition refers to increasing the consistency of depth sounding, side scan, shallow profiling, single-channel, multi-channel, and magnetic data, and reducing mutual interference. Consistency in geotechnical investigation data acquisition refers to minimally disturbed sample acquisition and mutual verification between in-situ and experimental tests.

[0080] Taking multibeam data obtained by the multibeam method in engineering geophysics as an example, Figure 5After consistency calibration, the accuracy of multibeam data is improved. Before consistency calibration, especially for roll, data from different survey lines are mutually noisy. Multibeam consistency calibration should be performed in the order of "time delay -> roll -> pitch -> heading deviation," and the calibrated value should be entered first before calibrating the next parameter to eliminate the influence of other parameters during calibration. To ensure measurement accuracy, each calibration group should be performed at least three times. According to the specifications, after multiple measurements, the standard error should meet the following requirements: positioning time delay ±100 milliseconds; roll deviation ±0.1°; pitch deviation ±0.1°; heading deviation ±0.1°. The requirements are more stringent for shallow water multibeam calibration. Calibration should be performed before each engineering geophysical survey. If, during field operations, there are significant changes to the hull, displacement of transducers or surge compensators, or poor overlap between survey lines, the parameter consistency calibration should be performed again. To facilitate comparison between data from different survey lines, the seabed in the inspection area should have a certain slope, geomorphological features, or underwater shipwrecks to increase identification.

[0081] Optionally, consistency correction analysis can also be performed outside the engineering geological model system, but the original test and collection data and test results should be fully saved, backed up and managed in the engineering geological model to facilitate verification and recalibration.

[0082] Step S420: Based on the consistency of data acquisition and analysis, a multi-dimensional cross-validation method is used to cross-validate the engineering geophysical exploration data and the geotechnical investigation data.

[0083] Specifically, the analysis and interpretation of engineering geophysical data should be consistent with that of geotechnical investigation data, and vice versa. For example, after analyzing geotechnical investigation data, a comprehensive borehole columnar section is typically generated. Figure 6 The changing trend of the CPT end resistance should match the seismic data from the engineering geophysical exploration. Simultaneously, the analysis of the engineering geophysical data will generate a geological profile. Figure 6 The stratigraphic interpretation should be consistent with the stratigraphic description in the columnar section. That is, in the engineering geological model, the sand layer of the geological cross-section should be represented as silt in the columnar section, and the mud layer should be represented as clay.

[0084] During cross-validation, a single physical quantity only reflects one aspect of the nature of offshore wind power projects. It is preferable to cross-validate using multiple different physical quantities, which helps to gradually reduce uncertainty and increase the accuracy of interpretation. Taking engineering geophysical seismic acoustic waves as an example, weak amplitude may indicate weak shear wave velocity in the soil and rock parameters, further indicating weak shear strength; however, it could also be due to an unclear seismic reflection interface, a lack of strong velocity difference, and excessive interface scattering, rather than weak shear strength caused by soft clay. Therefore, the sedimentary facies is first determined using seismic facies analysis technology, and then the lithology is judged. Displaying on-site borehole data or CPT data allows the borehole to directly show the soil and rock types, and the strength of the CPT cone tip resistance directly reflects the strength of the clay. By integrating and interpreting at least two different physical quantities, the uncertainty of the engineering geological model can be greatly reduced.

[0085] Figure 6 The data demonstrates the reliability of CPT and seismic data, and also shows that the strata in the "Geology and Hazards Module" contain more interbedded sand and mud during the transgressive stage and thicker sand layers during the regressive stage. If the consistency between the shown CPT and seismic data is poor, further analysis can be performed by calling more CPT and seismic data into the engineering geological model. If the consistency still cannot be improved, it indicates a poor correlation between the "Geology and Hazards Module" and the "Geotechnical Parameters Module," reminding relevant personnel that more data needs to be obtained for both engineering geophysical surveys and geotechnical engineering investigations to ensure the accuracy of the engineering geological model.

[0086] This embodiment integrates point data from geotechnical investigation and surface data from geophysical exploration through cross-validation, combining fixed-point geotechnical engineering investigation with regional engineering geophysical exploration, thereby establishing a regional engineering geological model and realizing a detailed understanding of the regional sedimentary environment from point to surface.

[0087] Furthermore, this embodiment, based on data consistency correction and the integration of engineering geophysical data and geotechnical investigation data, obtains the spatial characteristics of engineering geophysical data and the temporal characteristics of geotechnical investigation data according to spatiotemporal differences and consistency, and inputs them into the engineering geological model. For example, in addition to undrained shear strength and friction angle, geotechnical engineering investigation includes more than 20 other parameters, which can express the temporal characteristics of geological changes. Seismic data from engineering geophysical exploration only reflects one physical parameter, wave impedance, and cannot express the temporal characteristics of geological changes, but seismic data usually covers the entire study area and can express the spatial characteristics of geological changes. Therefore, by comparing the spatiotemporal differences and consistency between different survey results, the spatial characteristics of engineering geophysical data and the temporal characteristics of geotechnical investigation data are obtained, input into the engineering geological model, and displayed together in the engineering geological model.

[0088] In marine geological exploration, while geotechnical engineering methods can provide accurate point data, they are time-consuming and costly. Although the CPT method directly measures soil strength and provides high-resolution vertical data, it is also expensive and has limited spatial significance. Engineering geophysical methods, on the other hand, are an indirect technique that provides information on the thickness, depth, and distribution of geological strata in geological models. They have the advantages of rapid and inexpensive data acquisition, but their accuracy is lower than that of geotechnical surveying techniques. This embodiment, through consistency analysis, fully combines geotechnical investigation and engineering geophysical exploration, providing a more economical alternative to existing geological exploration methods. It also effectively solves the long-standing problem of the "non-uniqueness of physical phenomena" in exploration geophysics. Furthermore, conducting cross-consistency analysis of multiple exploration methods can improve the detection effect and reduce the ambiguity of a single method.

[0089] Furthermore, the consistency of historical engineering geophysical and geotechnical data in the engineering geological model can be corrected based on current engineering geophysical and geotechnical investigation data.

[0090] After new engineering geophysical and geotechnical investigation data are input into the engineering geological model, not only can the previous data be verified, but the data obtained using the same method is also expanded, incorporating time-domain information. This makes the engineering geological model a four-dimensional model, meaning it can describe the changes and processes of changes in geotechnical engineering geological conditions. These changes are largely reflected in human-induced alterations to natural conditions.

[0091] Step S500: Based on the corrected engineering geophysical data and corrected geotechnical engineering investigation data, iteratively upgrade the model data and model functions of the engineering geological model;

[0092] Specifically, the initial engineering geological model is a preliminary conceptual model with only a small amount of data. When geotechnical and geophysical surveys are carried out and more data is obtained, the model data is enriched through data analysis and interpretation, including stratigraphic identification, analysis of lithology and physical properties of related layers, interpretation of mechanical characteristics and special geological conditions, and the engineering geological model is improved. It becomes a tool for judging geological hazards and provides important information for the evaluation of geotechnical profiles and parameter values ​​in the basic design.

[0093] First, the engineering geological model includes model data from various stages of offshore wind power development. The model data in the engineering geological model is iteratively upgraded based on the corrected engineering geophysical data and corrected geotechnical investigation data, either through incremental iteration or by fusing with historical data.

[0094] The incremental iteration method involves adding new data to further improve the accuracy of the engineering geological model. The simplest way is to add a dataset. Taking engineering geophysical data acquisition as an example, during the feasibility study phase, engineering geophysical surveys collect shallow profile data of the entire area at 300-meter survey line intervals. A "Feasibility Study" and "Shallow Profile" dataset can be established in the engineering geological model. During the detailed exploration phase, the survey densifies the shallow profile data near the wind turbine at 50-meter intervals, and a new dataset, "Detailed Exploration" and "Shallow Profile" dataset, can be added.

[0095] The fusion and iteration approach involves assigning a new feature to an old dataset, adding new data, and obtaining a new dataset. Taking engineering geophysical data acquisition as an example, during the feasibility study phase, geophysical surveys collect sonar data across the entire area at 300-meter intervals. In physical data management, a "Feasibility Study" and "Side Scan Mosaic" dataset can be established. During the detailed exploration phase, the survey densifies the sonar data near the wind turbines at 50-meter intervals. Therefore, mosaicking can be used to fuse the 300-meter and 50-meter interval data together, replacing the "Feasibility Study" and "Side Scan Mosaic" datasets in the data model, and naming the dataset "Feasibility Study and Detailed Exploration" and "Side Scan Mosaic" dataset.

[0096] Then, as data is continuously collected and the model data of the engineering geological model is upgraded, it will also promote the upgrade of the model's functions. For example, the functions of the 3D model will be continuously developed and updated as more data becomes available. Taking engineering geophysical data acquisition as an example, during the operation and maintenance phase of offshore wind power development, geophysical surveys collect multibeam data near the wind turbines at 50-meter survey line intervals, and then establish an "Operation and Maintenance" "Multibeam" dataset. Similarly, during the decommissioning phase, a "Decommissioning" "Multibeam" dataset is established. Therefore, the corresponding "Geology and Hazards Module" contains topographic and geomorphological information from multiple different time periods. Over a wind power development cycle of 30 years or more, an engineering geological model with time-domain characteristics can reflect the changes in the seabed topography and geomorphology of the wind farm area, especially near the wind turbines. For example... Figure 2 The initial model is displayed, while Figure 3 The model shown is the upgraded model after geophysical data acquisition and the addition of a side-channel sonar.

[0097] The model functions of engineering geological models can also include the display of measured data and the display of data interpretation results.

[0098] Step S600: When the application requirements of all stages of offshore wind power are met, the final engineering geological model is obtained; otherwise, according to the next application requirements of offshore wind power, engineering geophysical data and / or geotechnical investigation data are obtained to iteratively upgrade the engineering geological model.

[0099] Specifically, offshore wind power development is a full life-cycle project spanning a long period of time. Marine geological exploration can be used for pre-installation planning, feasibility studies, and design of wind power applications, as well as post-installation operation, maintenance, energy storage, and decommissioning. The engineering geological modeling process of this invention adopts a closed-loop working architecture, starting with the geological exploration and construction plan, then proceeding to field and laboratory data acquisition, then data analysis, then modeling, and finally returning to the geological exploration and construction plan for the next wind power application, ultimately generating an iterative engineering geological model with temporal and spatial dimensions.

[0100] Offshore wind power applications exist in all stages of the offshore wind power development lifecycle, including design, construction, transmission, operation and maintenance, energy storage, and decommissioning. Not every stage requires acquiring new data. For example, after a wind farm is built and is in the operation and maintenance phase, strong seafloor currents can cause localized scouring of the wind turbine foundations, affecting their stability. Monitoring scouring is one of the important tasks of some wind farms during the operation and maintenance phase, indicating a new application requirement. Because it is necessary to study current seabed changes, existing geophysical surveys may not meet the new application requirements, necessitating new geophysical surveys. After completing the geophysical survey and acquiring the data, a consistency analysis is performed with the geotechnical investigation data in the engineering geological model. If no significant scouring is found, it indicates that the geotechnical investigation data meets the requirements of the new application, and no new geotechnical engineering investigation is needed. When new geophysical data and / or geotechnical investigation data are collected, the process returns to step S400 to iteratively upgrade the engineering geological model again.

[0101] Once the offshore wind farm no longer has new application requirements for the engineering geological model (usually after the wind turbines are decommissioned), the engineering geological model at this point will be the final model, possessing both temporal and spatial characteristics. The spatial characteristics are reflected in the display of three-dimensional data. This three-dimensional data in the model can be directly obtained from 3D data acquisition methods, such as data acquired through P-cable 3D short-spacing seismic acquisition, or it can be 3D data obtained through interpolation and post-processing of 2D data acquired at close intervals. The 3D data is not limited to amplitude data from seismic or shallow profiles, but also includes geotechnical parameters obtained through integrated studies. Geological conditions, including geotechnical parameters, are a slowly changing process; during wind farm development, most natural geological conditions can be considered relatively stable. The temporal characteristics are reflected in changes to geological conditions caused by human activities or extreme situations. The final engineering geological model should include data before and after these changes. For example, changes in seabed topography and shallow strata before and after submarine cable laying, or changes in seabed topography and the relocation of submarine facilities after a strong typhoon.

[0102] As described above, the offshore wind power engineering geological modeling method of this embodiment inputs engineering geophysical, geological, and geotechnical data obtained at different stages of offshore wind power development into the engineering geological model. Furthermore, through consistency analysis technology, it compares the spatiotemporal differences and consistency between different survey results, achieving mutual support and verification between geotechnical and geophysical data to upgrade the geological model. Compared to traditional methods, this improves the reliability and accuracy of geological data and can be applied to more application scenarios.

[0103] Exemplary Model

[0104] like Figure 7 As shown, corresponding to the above-mentioned offshore wind power engineering geological modeling method based on the consistency of geological exploration data, this embodiment of the invention also provides an offshore wind power engineering geological model based on the consistency of geological exploration data. The offshore wind power engineering geological model based on the consistency of geological exploration data includes:

[0105] Data module 600 is used to manage and store regional geological data, engineering geophysical data and geotechnical investigation data for each stage of offshore wind power development;

[0106] The calibration module 610 is used to perform consistency calibration on engineering geophysical data and geotechnical investigation data based on the consistency of geological exploration data, so as to obtain the calibrated engineering geophysical data and the calibrated geotechnical investigation data.

[0107] Upgrade module 620 is used to upgrade the engineering geological model based on the corrected engineering geophysical data and the corrected geotechnical investigation data;

[0108] Functional module 630 is used to integrate point-based geotechnical engineering exploration and regional engineering geophysical exploration based on engineering geophysical exploration data and geotechnical investigation data, so as to meet the application needs of various stages of offshore wind power.

[0109] The following combination Figure 8 This embodiment exemplifies the process of applying an engineering geological model to offshore wind power development. Data acquisition (A) and the engineering geological model (B) are a two-way interactive process. The acquired data is used for geological modeling; the geological model guides further data acquisition. Data acquisition (A) is the starting point of the engineering geological model (B), and wind power application (C) is the endpoint of the engineering geological model (B).

[0110] Data Module 600 ( Figure 8The data layer (B1-1) comprises three relatively independent but progressively layered data management sublayers: physical data management (B1-1), logical data management (B1-2), and conceptual data management (B1-3). Physical data management describes the physical structure of data on computer storage media. For example, physical data management defines the storage locations of regional geological data A1, engineering geophysical survey data A2, and geotechnical investigation data A3, and classifies the data. Logical data management (B1-2) represents the logical structure of data in analysis and processing, defines the attributes and types of data, and organizes and refines the relationships between data. For example, logical data management defines the "shallow profile" dataset and establishes the relationship between the "shallow profile" dataset and the "CPT" dataset. The conceptual data management sublayer establishes the attribution relationship between data and real-world engineering geological conditions, that is, the relationship with the functional layer. This attribution relationship can be one-to-many or many-to-many. For example, the "shallow profile" dataset belongs to the "strata and sedimentation" module of the geological features module, and the "water depth" data belongs to the "seafloor topography" module, both falling under the category of geophysical exploration "surfaces"; while the "rock and soil experiment" data belongs to the "rock and soil physical and mechanical parameters" module, falling under the category of rock and soil "points". These three data management sub-layers connect the three modules of the engineering geological model into a unified whole, integrating regional engineering geophysical exploration, fixed-point geotechnical engineering borehole sampling, and in-situ testing.

[0111] Functional module 630 ( Figure 8 The functional layers (B1-1, B1-2, B1-3) primarily include geological feature models and engineering feature models. With the wider application of geotechnical engineering and its models, they are further categorized into: Geological and Hazard Module (B1-1), Geotechnical Properties Module (B1-2), and Geotechnical Parameter Module (B1-3). In reality, these subdivisions are merely conceptual, serving the purpose of programming. In actual geology and engineering, the development of any specific engineering geological model will involve a series of common technologies, and the modules are interconnected.

[0112] In the design (C1) phase, an initial engineering geological model (B3-1) is generated based on regional geological data (A1). During the detailed exploration phase before construction (C2), consistency analysis of the data is performed using the calibration module 610 (B3-2), and the model is upgraded and optimized using the upgrade module 620 (B3-3). Then, throughout the entire offshore wind power cycle, in stages such as power transmission (C3), operation and maintenance (C4), energy storage (C5), and decommissioning (C6), wind power application (C) continues to guide the acquisition of geotechnical (A2) and geophysical data (A3), and the continuously acquired data will further promote model upgrades (B2-3). Finally, the desired final model (B3-4) is obtained. The final model (B3-4) is a complete and reliable model required for a wind farm, and its accuracy, reliability, and completeness are determined by the wind power application (C) of the wind farm; different stages of application have different requirements for the geological model.

[0113] As mentioned above, engineering geological models are built on the basis of data consistency and model iterability. Continuous improvement and refinement of these models can not only support the quality and efficiency of actual geological exploration work, but also become an important part of the digital transformation of geological exploration work.

[0114] Optionally, the correction module 610 includes a single verification unit and a cross-verification unit. The single verification unit is used to perform correction processing on the engineering geophysical data and the geotechnical investigation data based on the consistency of data acquisition and the data acquisition method. The cross-verification unit is used to perform cross-verification on the engineering geophysical data and the geotechnical investigation data using a multi-dimensional cross-verification method based on the consistency of data acquisition and analysis.

[0115] The engineering geological model (B) must be built upon the consistency principle of marine geological exploration and fully integrate data from engineering geophysical surveys (A2) and geotechnical investigations (A3). At each individual exploration stage, consistency analysis provides the data and results from that stage to the engineering geological model. Furthermore, data acquired at different stages follow the same operational procedures. Within the exploration system, for the same test value, cross-checks are established between multiple "independent" methods. Consistency analysis verifies data acquired using different methods at the same time, identifying data deviations. These deviations are then input into the engineering geological model to guide data acquisition in the next stage.

[0116] Optionally, the upgrade module 620 includes a data upgrade unit and a function upgrade unit. The data upgrade unit is used to iteratively upgrade the model data in the engineering geological model in an incremental or fusion manner based on the corrected engineering geophysical data and the corrected geotechnical investigation data. The function upgrade unit is used to upgrade the functional modules in the engineering geological model based on the iteratively upgraded model data to realize the application of offshore wind power.

[0117] Specifically, in this embodiment, the specific functions of each module of the offshore wind power engineering geological model based on the consistency of geological exploration data can be referred to the corresponding description in the above-mentioned offshore wind power engineering geological modeling method based on the consistency of geological exploration data, and will not be repeated here.

[0118] Based on the above embodiments, the present invention also provides a smart terminal, the principle block diagram of which can be as follows: Figure 9As shown. The aforementioned intelligent terminal includes a processor, memory, network interface, and display screen connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and a geological modeling program for offshore wind power engineering based on geological data consistency. The internal memory provides an environment for the operation of the operating system and the geological modeling program for offshore wind power engineering based on geological data consistency stored in the non-volatile storage medium. The network interface of the intelligent terminal is used for communication with external terminals via a network connection. When the geological modeling program for offshore wind power engineering based on geological data consistency is executed by the processor, it implements the steps of any of the aforementioned geological modeling methods for offshore wind power engineering based on geological data consistency. The display screen of the intelligent terminal can be a liquid crystal display (LCD) or an e-ink display.

[0119] Those skilled in the art will understand that Figure 9 The block diagram shown is merely a partial structural diagram related to the present invention and does not constitute a limitation on the smart terminal to which the present invention is applied. A specific smart terminal may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0120] In one embodiment, a smart terminal is provided, the smart terminal including a memory, a processor, and a geological modeling program for offshore wind power engineering based on geological survey data consistency stored in the memory and executable on the processor. When the geological modeling program for offshore wind power engineering based on geological survey data consistency is executed by the processor, it performs the following operation instructions:

[0121] Obtain regional geological data;

[0122] An initial engineering geological model was constructed based on the regional geological data;

[0123] Based on the current application requirements of offshore wind power, acquire engineering geophysical data and geotechnical investigation data;

[0124] The engineering geophysical data and the geotechnical investigation data are input into the engineering geological model and consistency correction is performed based on the consistency of the geological investigation data.

[0125] Based on the corrected engineering geophysical data and corrected geotechnical investigation data, the model data and model functions of the engineering geological model are iteratively upgraded.

[0126] When all application requirements of offshore wind power are met, the final engineering geological model is obtained; otherwise, based on the next application requirement of offshore wind power, engineering geophysical data and geotechnical investigation data are obtained to iteratively upgrade the engineering geological model.

[0127] Optionally, after acquiring engineering geophysical data and geotechnical investigation data, the following may also be included:

[0128] Update the engineering geophysical data and the geotechnical investigation data based on the same coordinate reference system;

[0129] Define the reference datum and tidal correction method used for data comparison in the consistency analysis.

[0130] Optionally, the consistency correction based on geological data consistency includes:

[0131] Based on the consistency of data acquisition and the data acquisition method, the engineering geophysical data and the geotechnical investigation data are respectively corrected.

[0132] Based on the consistency of data acquisition and analysis, a multi-dimensional cross-validation method is used to cross-validate the engineering geophysical data and the geotechnical investigation data.

[0133] Optional, also includes:

[0134] Based on the integration of the engineering geophysical data and the geotechnical investigation data, and according to the spatiotemporal differences and consistency, the spatial characteristics of the engineering geophysical data and the temporal characteristics of the geotechnical investigation data are obtained and input into the engineering geological model.

[0135] Optionally, the iterative upgrade of the engineering geological model's data and functions based on the corrected engineering geophysical data and corrected geotechnical investigation data includes:

[0136] The model data in the engineering geological model is iteratively upgraded using either incremental or fusion methods, based on the corrected engineering geophysical data and the corrected geotechnical investigation data.

[0137] Based on the iteratively upgraded model data, the model functions of the engineering geological model are iteratively upgraded.

[0138] This invention also provides a computer-readable storage medium storing a geological modeling program for offshore wind power projects based on the consistency of geological survey data. When executed by a processor, the geological modeling program for offshore wind power projects based on the consistency of geological survey data implements the steps of any of the geological modeling methods for offshore wind power projects based on the consistency of geological survey data provided in this invention.

[0139] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0140] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the above device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this invention. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0141] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0142] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0143] In the embodiments provided by this invention, it should be understood that the disclosed apparatus / terminal devices and methods can be implemented in other ways. For example, the apparatus / terminal device embodiments described above are merely illustrative. For instance, the division of the above modules or units is merely a logical functional division, and in actual implementation, it can be divided in other ways. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0144] If the integrated modules / units described above are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction.

[0145] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not mean that the essence of the corresponding technical solutions deviates from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A geological modeling method for offshore wind power projects based on the consistency of geological exploration data, characterized in that, include: Obtain regional geological data; An initial engineering geological model was constructed based on the regional geological data; Based on the current application requirements of offshore wind power, engineering geophysical data and geotechnical investigation data are obtained. Among them, engineering geophysical investigation is carried out before geotechnical investigation, and engineering geophysical data provides the basis for the work design of geotechnical investigation. The engineering geophysical data and the geotechnical investigation data are input into the engineering geological model and consistency correction is performed based on the consistency of the geological investigation data. Based on the corrected engineering geophysical data and corrected geotechnical investigation data, the model data and model functions of the engineering geological model are iteratively upgraded. When the application requirements of all stages of offshore wind power are met, the final engineering geological model is obtained; otherwise, according to the next application requirements of offshore wind power, engineering geophysical data and / or geotechnical investigation data are obtained to iteratively upgrade the engineering geological model. After acquiring engineering geophysical exploration data and geotechnical investigation data, the process includes: Update the engineering geophysical data and the geotechnical investigation data based on the same coordinate reference system; Define the reference datum and tidal correction method for data comparison in the consistency analysis; The consistency correction based on geological survey data includes: Based on the consistency of data acquisition and the data acquisition method, the engineering geophysical data and the geotechnical investigation data are respectively corrected. Based on the consistency of data acquisition and analysis, a multi-dimensional cross-validation method is used to cross-validate the engineering geophysical data and the geotechnical investigation data. After the consistency correction based on the geological survey data, the following is also included: Based on the integration of the engineering geophysical data and the geotechnical investigation data, and according to the spatiotemporal differences and consistency, the engineering geophysical data in the time domain and the geotechnical investigation data in the spatial domain are obtained and input into the engineering geological model.

2. The offshore wind power engineering geological modeling method based on the consistency of geological exploration data as described in claim 1, characterized in that, The process of iteratively upgrading the model data and functions of the engineering geological model based on the corrected engineering geophysical data and corrected geotechnical investigation data includes: The model data in the engineering geological model is iteratively upgraded using either incremental or fusion methods, based on the corrected engineering geophysical data and the corrected geotechnical investigation data. Based on the iteratively upgraded model data, the model functions of the engineering geological model are iteratively upgraded.

3. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a geological modeling program for offshore wind power projects based on the consistency of geological exploration data. When the geological modeling program for offshore wind power projects based on the consistency of geological exploration data is executed by a processor, it implements the steps of the geological modeling method for offshore wind power projects based on the consistency of geological exploration data as described in any one of claims 1-2.

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