Modeling method for automatically extracting drill hole based on geological map, storage medium and equipment

Abstract

The invention relates to the technical field of geological information processing and modeling, and discloses a modeling method for automatically extracting drill holes based on a geological map, a storage medium and equipment, and the method comprises the steps: selecting a region with detailed geological information, inputting different geological data in the region, and constructing a geological map physical model according to the different geological data; geological data at different positions in the area are obtained; based on the geological modeling control equation of the geological map, acquiring a geological response solving equation under geological data input in the region; based on the geological data in the region and the geological response solving equation, geological responses at different positions in the region are obtained, and the geological response with the maximum response value is selected as the maximum geological response; and acquiring a limit response spectrum and a geological damage spectrum of the geological map based on the maximum geological response and geological model limit response spectrum calculation equation and the geological damage spectrum calculation equation. According to the method, the efficiency and accuracy of geological modeling can be improved, and the stability and resource potential of a geological structure can be evaluated more accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of geological information processing and modeling, and in particular to a modeling method, storage medium and equipment for automatically extracting boreholes based on geological maps. Background Art

[0002] Existing geological modeling technology mainly relies on manual interpretation of geological maps and manual extraction of drilling data, which is a time-consuming and error-prone process. Geological maps usually contain complex geological information, such as rock types, faults, folds, etc., which require professional geologists to analyze. In traditional modeling methods, the input of geological data and the solution of geological responses often require a lot of calculations and simulations. These tasks are usually completed by geological engineers using professional software, which is not only inefficient, but also has limitations in the interpretation and application of geological data.

[0003] In addition, the accuracy of geological modeling is limited by the quality of data and processing methods. In complex geological environments, such as earthquake-prone areas or areas rich in mineral resources, traditional modeling methods have difficulty accurately predicting the response of geological structures, which may lead to safety risks in resource exploration and engineering construction. The solution of geological response usually involves complex physical equations and mathematical models, and the solution of these equations and models requires high-performance computing resources and expertise.

[0004] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: the existing geological modeling method has a low degree of automation and relies on manual operation, resulting in a low efficiency of the modeling process; the processing and analysis of geological data are not accurate enough and are difficult to adapt to the needs of complex geological environments; the solution process of geological responses is complex and consumes a lot of computing resources, which limits its application in actual engineering. Summary of the invention

[0005] The embodiments of the present invention aim to provide a modeling method, storage medium and device for automatically extracting boreholes based on geological maps, so as to solve the technical problems raised in the prior art.

[0006] The embodiment of the present invention solves the technical problem by adopting the following technical solution:

[0007] In a first aspect, a modeling method for automatically extracting boreholes based on a geological map is provided, comprising:

[0008] Select an area with detailed geological information, input different geological data in the area, and construct a physical model of the geological map based on it;

[0009] Obtain geological data at different borehole locations within the region;

[0010] Based on the geological modeling control equations of the geological map, the geological response solution equations in the region are obtained under the input of geological data;

[0011] Based on the geological data in the area and the geological response solution equation, the geological responses at different drilling positions in the area are obtained and the largest response value is selected as the maximum geological response;

[0012] Based on the maximum geological response and the geological model limit response spectrum calculation equation and geological damage spectrum calculation equation, the limit response spectrum and geological damage spectrum of the geological map are obtained.

[0013] As a further improvement of the present application, the geological data input in the region include the following three types:

[0014] The geological data types input at different drilling locations within the region are the same, but the parameters are different;

[0015] Different types of geological data were input at different borehole locations within the region, but the parameters were the same;

[0016] The geological data types and parameters input at different drilling locations in the region are different.

[0017] As a further improvement of the present application, the geological data at different drilling locations in the region are obtained by the following formula:

[0018]

[0019] Among them, R1(x) is the geological response value at different borehole locations in the region, x is the distance from the starting point of the region, x0 is the center position of the borehole, L is the length of the region, and α and β are the amplitude parameters of the geological data.

[0020] As a further improvement of the present application, the geological modeling control equation of the geological map is:

[0021]

[0022] Where R2(x) represents the geological response, represents the Laplace operator, k is the permeability of the geological material, and S(x) is the geological data source item.

[0023] As a further improvement of the present application, the geological response solution equation in the region under the geological data input is:

[0024]

[0025] Among them, R3(x,z) is the geological response, c i is the geological parameter of the i-th layer, h i (x) is the horizontal response distribution of the i-th layer, g i(z) is the response distribution in the vertical direction of the i-th layer, and n is the number of layers.

[0026] As a further improvement of the present application, the solving equation based on the geological data and geological response in the region, obtaining the geological responses at different drilling positions in the region and selecting the largest geological response therefrom includes:

[0027] The geological data at different borehole locations in the region obtained by formula (1) are used as input parameters in the geological response solution equation (3). Equation (3) is solved to obtain the geological responses at different borehole locations in the region, and the one with the largest response value is selected as the maximum geological response.

[0028] As a further improvement of the present application, the calculation equation of the geological model limit response spectrum is:

[0029]

[0030] Among them, P lim is the limit response value of the geological model, and R3(x,z) is the geological response.

[0031] As a further improvement of the present application, the fatigue damage response spectrum calculation equation of the geological model is:

[0032]

[0033] Among them, D fatigue is the fatigue damage value of the geological model, T is the observation time, and R3(x,z) is the geological response.

[0034] In a second aspect of the present invention, a computer-readable storage medium is provided, which includes instructions, and when the instructions are executed on a computer, the computer is enabled to execute the method according to any one of the first aspects.

[0035] In a third aspect of the present invention, a modeling device for automatically extracting boreholes based on geological maps is provided, the device comprising: at least one processor, a memory and an input-output unit; wherein the memory is used to store a computer program, and the processor is used to call the computer program stored in the memory to execute any one of the methods described in the first aspect.

[0036] The above-mentioned embodiments of the present invention have at least the following beneficial effects: The present invention provides a modeling method for automatically extracting boreholes based on geological maps, which can improve the automation level of geological modeling. By automatically extracting borehole information from geological maps, the workload of manual interpretation of geological maps can be reduced, and the errors caused by human factors can be reduced. At the same time, the method uses advanced computing models and algorithms to accurately solve geological responses and can provide more accurate geological structure stability and resource potential assessments. In addition, the method of the present invention can also effectively reduce the dependence on high-performance computing resources in the geological modeling process. By optimizing algorithms and computing processes, the method can run efficiently on conventional computing resources, making geological modeling more convenient and economical. The application of this method helps to achieve more scientific and reasonable decisions in the fields of resource exploration, engineering construction, and environmental assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] One or more embodiments are exemplarily described by the figures in the corresponding drawings, and these exemplifications do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0038] Figure 1 It is a flow chart of a modeling method for automatically extracting boreholes based on a geological map provided by the present invention. DETAILED DESCRIPTION

[0039] In order to facilitate the understanding of the present invention, the present invention is described in more detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that when an element is described as "connecting" another element, it can be directly on another element, or there can be one or more centered elements therebetween. The orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", "upper end", "lower end", "top" and "bottom" used in this specification is based on the orientation or positional relationship shown in the accompanying drawings, only for the convenience of describing the present invention 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 of the present invention. In addition, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0040] Unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0041] Combine the following Figure 1, the modeling method 100 for automatically extracting boreholes based on geological maps provided in an embodiment of the present application is described in detail through a specific embodiment.

[0042] Figure 1 The figure is a flow chart of a modeling method for automatically extracting boreholes based on a geological map provided by the present invention. The modeling method for automatically extracting boreholes based on a geological map provided by one embodiment of the present invention comprises:

[0043] Step 101, selecting an area with detailed geological information, inputting different geological data in the area, and constructing a physical model of the geological map based on the data;

[0044] Step 102, obtaining geological data at different drilling locations in the region;

[0045] Step 103, based on the geological modeling control equation of the geological map, obtain the geological response solution equation under the geological data input in the region;

[0046] Step 104, based on the geological data in the region and the geological response solving equation, the geological responses at different drilling positions in the region are obtained and the one with the largest response value is selected as the maximum geological response;

[0047] Step 105: Obtain the extreme response spectrum and geological damage spectrum of the geological map based on the maximum geological response and the geological model extreme response spectrum calculation equation and geological damage spectrum calculation equation.

[0048] It should be noted that this embodiment relates to a modeling method for automatically extracting boreholes based on geological maps. The method obtains geological data by constructing a physical model of the geological map, calculates the geological response based on the geological response solution equation, and finally extracts the borehole information.

[0049] Specifically, selecting an area with detailed geological information means determining a geographical range with rich geological features. In this area, different geological data are input, such as rock type, stratigraphic age, fault location, etc. These data can be obtained from field surveys or from existing geological databases. Constructing a physical model of a geological map involves using these data to create a three-dimensional model that can reflect geological features.

[0050] Preferably, obtaining geological data at different locations in the region can be achieved in a variety of ways. For example, remote sensing technology, geological exploration data or geological survey reports can be used. The input of geological data can be in a standardized format, such as a GIS geographic information system data format, for ease of processing and analysis. In addition, the parameter settings of the geological response solution equation can be adjusted according to the actual geological conditions to ensure the accuracy and applicability of the model.

[0051] In some embodiments, the drilling locations within the region may be predefined or automatically determined by an algorithm. The geological data may include the depth and diameter of the borehole, the mineral composition of the rock sample, the physical properties of the rock (such as density, porosity), etc. The drilling data may be obtained through actual measurements during the drilling process.

[0052] More specifically, the acquisition of drilling data may also include real-time monitoring data during the drilling process, such as ground temperature, ground stress, etc. In addition, the acquisition of drilling data may use automated equipment, such as automatic drilling rigs and sensors, to improve the efficiency and accuracy of data acquisition.

[0053] In some embodiments, the geological modeling control equation based on the geological map is used to obtain the geological response solution equation under the geological data input in the region; in order to perform geological modeling, we need to establish a mathematical model based on the geological map, which can describe the response of the geological body when subjected to external stimuli (such as earthquakes, groundwater flow, etc.).

[0054] Specifically, the geological modeling control equations can be partial differential equations, such as elastic wave equations, heat conduction equations, mass conservation equations, etc. These equations can be established based on the physical properties of geological materials (such as elastic modulus, thermal conductivity, permeability) and boundary conditions.

[0055] Preferably, the geological modeling control equations may also include a time factor to simulate the evolution of the geological body over time. In addition, in order to improve the computational efficiency of the model, a discretization method, such as a finite element method or a finite difference method, may be used to discretize the continuous geological body into small units, thereby converting the partial differential equations into a set of algebraic equations.

[0056] In some embodiments, in the preliminary stage of geological modeling, it is first necessary to determine an area with detailed geological information. The selection of this area is based on the purpose of geological exploration, such as finding mineral resources, conducting earthquake hazard assessments, or planning underground structure construction. In this area, a variety of geological data are input according to different geological characteristics and exploration results. These data may include rock types, stratigraphic structures, groundwater levels, earthquake intensity, and other relevant geological parameters. Using these data, combined with geostatistical methods and numerical simulation techniques, a physical model of a geological map that can reflect the actual geological conditions is constructed. This model provides a basic framework for subsequent analysis.

[0057] Once the physical model of the geological map is established, the next step is to collect specific geological data from different drill hole locations in the area. This data is usually obtained through drilling activities and includes drill core analysis, geophysical logging data, and drilling fluid descriptions. The purpose of acquiring data is to build a more detailed spatial distribution map of geological attributes, which helps to understand the complexity and variability of geological structures. This information will be used to calibrate and refine the geological model to ensure that the model can accurately reflect the actual geological conditions.

[0058] The governing equations of geological modeling are a set of mathematical equations used to describe the response of geological materials under stress or other geological effects. These equations may include principles such as elasticity theory, plasticity theory, fracture mechanics or fluid dynamics. Based on the physical model of the geological map and the input geological data, geological response solution equations are constructed. These equations will be used to simulate the response of geological bodies under natural or human factors. Solving these equations can obtain important information such as stress, strain, displacement field, etc.

[0059] The geological response equation obtained in step 103 is used to solve the geological response at different borehole locations in combination with the geological data in the area. The geological response may include seismic response, water pressure changes caused by groundwater flow, displacement fields caused by underground excavation, etc. By comparing these response values, the location with the largest geological response can be identified, which usually indicates the area with the strongest geological action or the most complex geological conditions. The identification of the maximum geological response is crucial for geological resource assessment, disaster prevention and engineering design.

[0060] After obtaining the maximum geological response, further analysis is to calculate the extreme response spectrum and geological damage spectrum of the geological model. Extreme response spectrum analysis is used to evaluate the maximum response of geological structures under extreme geological effects, such as maximum earthquake acceleration or maximum groundwater level change. Geological damage spectrum analysis focuses on the cumulative damage of geological materials under cyclic loading and predicts the fatigue life of materials. These analyses help evaluate the safety and stability of geological structures and provide a scientific basis for long-term planning and risk management of geological engineering.

[0061] In some embodiments, the geological data input in the region includes the following three types:

[0062] The same type of geological data but different parameters are input at different locations within the region;

[0063] Different types of geological data were input at different locations within the region, but the parameters were the same;

[0064] The geological data types and parameters input at different locations within the region are different.

[0065] Specifically, the geological data types input at different locations within the region are the same, but the parameters are different, which means that within the same geological region, although the input data types are the same, such as the compressive strength of rocks, the parameter values ​​at different locations will vary to reflect the local differences in geological conditions.

[0066] Furthermore, different types of geological data input at different locations within the region and the same parameters may mean that different types of data, such as soil type and groundwater level, are input at different locations within the region, but the parameters of these data, such as measurement accuracy or data collection frequency, remain consistent. Different types of geological data input at different locations within the region and different parameters mean that different types of data are input at different locations within the region, and the parameters of these data are also different.

[0067] Preferably, these geological data can be managed by GIS software to ensure the consistency and accuracy of the data. The setting of parameters can be determined based on the advice of geologists or historical data. For example, for the compressive strength of rock, the parameter value can be set based on laboratory test results.

[0068] Furthermore, machine learning algorithms can be used to predict parameter values ​​under different geological conditions to improve the degree of automation in modeling. During the data input process, it is also possible to consider using sensors carried by drones to collect surface and underground geological data to supplement traditional data collection methods.

[0069] In some embodiments, geological data at different drilling locations within a region are obtained using the following formula:

[0070]

[0071] Among them, R1(x) is the geological response value at different borehole locations in the region, x is the distance from the starting point of the region, x0 is the center position of the borehole, L is the length of the region, and α and β are the amplitude parameters of the geological data.

[0072] It should be noted that this implementation defines how to obtain geological data of different drilling locations in a region, which is calculated through a specific mathematical formula.

[0073] Specifically, formula (1) is used to calculate the geological response values ​​of different borehole locations. In this formula, R1(x) represents the geological response value of a specific borehole location, x is the distance from the starting point of the area, θ is the center position of the borehole, L is the length of the area, and A and B are the amplitude parameters of the geological data. In practical applications, the specific values ​​of these parameters should be set according to the specific conditions of the geological area and the purpose of geological exploration.

[0074] Preferably, the process of calculating the geological response value can be further refined into the following steps:

[0075] 1. Determine the center positions θ of all the drill holes in the area and record these positions in digital form.

[0076] 2. According to the needs of geological exploration, set the amplitude parameters A and B of the geological data. For example, if the exploration goal is to find groundwater resources, the amplitude parameters may need to be set larger to better detect changes in underwater geological structures.

[0077] 3. Calculate the value of R1(x) for each drilling location. This will involve iterating formula (1) to calculate a value for each drilling location.

[0078] In addition, in order to improve the calculation accuracy of the geological response value, it is possible to consider using numerical analysis methods or optimization algorithms to determine the optimal amplitude parameters A and B. If the geological area is large or the geological structure is complex, it is also possible to consider dividing the area into smaller sub-areas and calculating the geological response value for each sub-area separately.

[0079] In some embodiments, the geological modeling governing equation of the geological map is:

[0080]

[0081] Where R2(x) represents the geological response, represents the Laplace operator, \(k\) is the permeability of the geological material, and S(x) is the geological data source item.

[0082] Specifically, the governing equations for geological modeling are It is used to describe the relationship between the geological response R2(x) and the geological material permeability k and the geological data source S(x). In this equation, represents the Laplace operator, which is used to represent the spatial variation of geological response; k is a coefficient reflecting the permeability of geological materials, and its value depends on the properties of geological materials; S(x) is the geological data source item, which represents the external driving force of geological response.

[0083] Preferably, the implementation of the geological modeling control equations can be further refined into the following steps:

[0084] 1. Determine the permeability coefficient k of the geological material. This usually needs to be determined through experiments or geological exploration data, for example, through permeability tests or using existing geological databases.

[0085] 2. Collect information about geological data sources S(x). This may include factors such as groundwater flow, seismic activity, and human activities, all of which may affect the geological response.

[0086] 3. Solve the equation using numerical methods. This may involve finite difference method, finite element method or other numerical analysis techniques to obtain a numerical solution for the geological response R2(x).

[0087] More specifically, to improve the accuracy and usefulness of the model, the following alternatives can be considered:

[0088] 1. Introduce more geological parameters into the geological modeling control equations, such as elastic modulus, Poisson's ratio, etc., to more comprehensively describe the properties of geological materials.

[0089] 2. Use more complex mathematical models, such as nonlinear models or multi-physics coupling models, to simulate geological responses more accurately.

[0090] 3. Use machine learning or artificial intelligence techniques to train models based on large amounts of geological data to predict geological responses and optimize parameter settings.

[0091] In some embodiments, the geological response solution equation for the region under geological data input is:

[0092]

[0093] Among them, R3(x,z) is the geological response, c i is the geological parameter of the i-th layer, h i (x) is the horizontal response distribution of the i-th layer, g i (z) is the response distribution in the vertical direction of the i-th layer, and n is the number of layers.

[0094] Specifically, the geological response solves the equation Used to calculate the geological response R3(x,t), where A i is the geological parameter of the i-th layer, h i (x) is the horizontal response distribution of the i-th layer, v i (t) is the vertical response distribution of the i-th layer and n is the number of layers. This equation takes into account the distribution of geological layers and the changes in geological response in time and space.

[0095] Preferably, the implementation of the geological response solution equation can be further refined into the following steps:

[0096] 1. Determine the number of geological layers n and the geological parameters c of each layer i This is usually determined using geological survey data, for example, through analysis of drill hole samples or ground-penetrating radar.

[0097] 2. Calculate the horizontal response distribution h of each layer i (x) and vertical response distribution v i(t). This may involve the development of geophysical models and numerical simulations.

[0098] 3. Add the response distributions of all layers to obtain the total geological response R3(x,t).

[0099] More specifically, to improve the accuracy and usefulness of the model, the following alternatives can be considered:

[0100] 1. Introduce more geological parameters into the geological response solution equation, such as the thickness, density, elastic modulus, etc. of the geological layer, to more comprehensively describe the characteristics of the geological layer.

[0101] 2. Use more complex mathematical models, such as nonlinear models or multi-physics coupling models, to simulate geological responses more accurately.

[0102] 3. Use machine learning or artificial intelligence techniques to train models based on large amounts of geological data to predict geological responses and optimize parameter settings.

[0103] In some embodiments, solving the equation based on the geological data and geological response in the region, obtaining the geological responses at different drilling positions in the region and selecting the largest geological response therefrom comprises:

[0104] The geological data at different borehole locations in the region obtained by formula (1) are used as input parameters in the geological response solution equation (3). Equation (3) is solved to obtain the geological responses at different borehole locations in the region, and the one with the largest response value is selected as the maximum geological response.

[0105] Specifically, the operation steps include using the geological data obtained by formula (1) as input parameters in the geological response solution equation (3), obtaining the geological responses at different borehole locations in the region by solving equation (3), and selecting the one with the largest response value as the maximum geological response. This involves calculating each borehole location and comparing the obtained response values.

[0106] Preferably, the implementation of obtaining geological responses and selecting the maximum response can be further refined into the following steps:

[0107] 1. For each drilling location, calculate the geological response value R1(x) using formula (1).

[0108] 2. Substitute the calculated geological response value R1(x) as the input parameter into the geological response solution equation (3) to calculate the geological response R3(x,t) of each drilling location.

[0109] 3. Compare the geological responses R3(x,t) of all drilling locations and select the one with the largest response value as the maximum geological response.

[0110] More specifically, to improve the accuracy and efficiency of selecting the maximum geological response, the following alternatives can be considered:

[0111] 1. Implement an automated comparison algorithm that can quickly rank the geological response values ​​of all drill hole locations to determine the maximum response value.

[0112] 2. If the geological area is very large, you can consider dividing the area into multiple sub-areas and performing the above steps independently in each sub-area, and finally selecting the largest geological response in all sub-areas.

[0113] 3. Introduce a multi-objective optimization method to simultaneously consider the geological response value and other geological parameters, such as cost and accessibility, to determine the optimal drilling location.

[0114] In some embodiments, the geological model limit response spectrum calculation equation is:

[0115]

[0116] Among them, P lim is the limit response value of the geological model, and R3(x,z) is the geological response.

[0117] Specifically, the geological model limit response spectrum calculation equation R lim =max|R3(x,t)| is used to determine the limiting response value of the geological model under a given geological response R3(x,t). This equation calculates the limiting response by taking the maximum absolute value of the geological response, where R3(x,t) is the geological response calculated in the previous step.

[0118] Preferably, the calculation of the extreme response spectrum of the geological model can be further refined into the following steps:

[0119] 1. For each drill hole location, calculate its geological response R3(x,t).

[0120] 2. Take the absolute value of each R3(x,t) and then find the maximum of these absolute values.

[0121] 3. Take this maximum value as the limiting response R of the geological model lim .

[0122] More specifically, to improve the accuracy and efficiency of calculating the limit response spectrum, the following alternatives can be considered:

[0123] 1. Use numerical analysis software or programming languages, such as MATLAB, Python, etc., to automate the calculation process and improve calculation speed and accuracy.

[0124] 2. If the geological response data is very large, consider using cloud computing resources for parallel computing to speed up processing.

[0125] 3. Introduce statistical analysis methods to consider the variability and uncertainty of geological responses to more comprehensively evaluate the extreme responses of geological models.

[0126] In some embodiments, the geological model fatigue damage response spectrum calculation equation is:

[0127]

[0128] Among them, D fatigue is the fatigue damage value of the geological model, T is the observation time, and R3(x,z) is the geological response.

[0129] Specifically, the fatigue damage response spectrum calculation equation of the geological model is It is used to determine the fatigue damage value of the geological model within the observation time T. This equation is calculated by The integral of the square of is used to evaluate the fatigue damage of the geological model under long-term action.

[0130] Fatigue damage response spectrum is an analytical method used in the field of geological engineering to evaluate the fatigue damage that may occur to geological materials or structures under long-term cyclic loading. This method takes into account the fatigue characteristics of geological bodies and helps predict the life and performance of materials or structures under repeated loading. Fatigue damage refers to the gradual accumulation of damage to materials under cyclic stress, which may eventually lead to sudden fracture of the material, even if the applied stress is lower than the static strength limit of the material. In geological engineering, underground structures such as tunnels, mines and foundations may be affected by cyclic loading, resulting in fatigue damage.

[0131] A response spectrum is usually a graph of the response of a structure (such as acceleration, velocity or displacement) under dynamic loads as a function of frequency. In fatigue damage analysis, a response spectrum is a graph that describes the rate of fatigue damage development and cumulative effects of a geological material or structure at different cyclic frequencies and amplitudes.

[0132] In some embodiments, calculating the fatigue damage response spectrum of a geological model generally involves the following steps: determining load characteristics, analyzing the characteristics of the cyclic loads to which the geological structure is subjected; geological model construction, establishing a geological model that includes the physical and mechanical parameters of geological materials; dynamic response analysis, using earthquake engineering or dynamics principles to calculate the dynamic response of the geological structure under cyclic loads; fatigue damage calculation, applying fatigue theory, combining the fatigue characteristics of the material with the dynamic response results, and calculating the accumulated fatigue damage; response spectrum drawing, drawing the response spectrum based on the calculation results to display the fatigue damage under different cyclic load conditions.

[0133] Preferably, the calculation of the geological model fatigue damage response spectrum can be further refined into the following steps:

[0134] 1. For each drilling location, calculate its geological response

[0135] 2. For each Take the square and then integrate the value within the observation time T.

[0136] 3. Take this integral value as the fatigue damage R of the geological model fatigue .

[0137] More specifically, to improve the accuracy and efficiency of calculating fatigue damage response spectra, the following alternatives can be considered:

[0138] 1. Use numerical integration methods, such as the trapezoidal rule or Simpson's rule, to approximate the integral value.

[0139] 2. If the observation time T is very long, you can consider dividing the time interval into multiple small intervals, and calculate the integral independently in each small interval, and finally add up the results.

[0140] 3. Introduce the fatigue characteristic parameters of geological materials, such as fatigue life, fatigue strength, etc., to more accurately evaluate the fatigue damage of geological models.

[0141] The above-mentioned embodiments of the present invention have the following beneficial effects: the modeling method for automatically extracting boreholes based on geological maps described in the present invention can improve the processing efficiency and modeling accuracy of geological data. Through the automated process, the method can reduce the need for manual operation and reduce the errors introduced by human interpretation of geological maps. At the same time, through the accurate geological response solution equation, the response of geological structures under different geological conditions can be more accurately predicted, providing reliable data support for geological engineering. In addition, the method can also provide a scientific basis for risk assessment of geological engineering by calculating the limit response spectrum and geological damage spectrum of the geological model. Through this method, potential weaknesses and risk points in geological structures can be more effectively identified, so that preventive measures can be taken in resource development and engineering construction to improve the safety and reliability of the project. The application of this method helps to optimize the utilization of geological resources, reduce environmental impact, and improve the economy of geological engineering.

[0142] Furthermore, the storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0143] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Under the concept of the present invention, the technical features in the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other changes in different aspects of the present invention as above, which are not provided in detail for the sake of simplicity. Although the present invention is described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A modeling method for automatically extracting boreholes based on geological maps, characterized in that: The steps include: Select an area with detailed geological information, input different geological data in the area, and construct a physical model of the geological map based on it; Obtain geological data at different borehole locations within the region; Based on the geological modeling control equations of the geological map, the geological response solution equations in the region are obtained under the input of geological data; Based on the geological data in the area and the geological response solution equation, the geological responses at different drilling positions in the area are obtained and the largest response value is selected as the maximum geological response; Based on the maximum geological response and the geological model limit response spectrum calculation equation and geological damage spectrum calculation equation, the limit response spectrum and geological damage spectrum of the geological map are obtained.

2. A modeling method for automatically extracting boreholes based on geological maps according to claim 1, characterized in that: The geological data input in the area include the following three types: The geological data types input at different drilling locations within the region are the same, but the parameters are different; Different types of geological data were input at different borehole locations within the region, but the parameters were the same; The geological data types and parameters input at different drilling locations in the region are different.

3. A modeling method for automatically extracting boreholes based on geological maps according to claim 2, characterized in that: The geological data at different drilling locations in the area are obtained by the following formula: Among them, R1(x) is the geological response value at different borehole locations in the region, x is the distance from the starting point of the region, x0 is the center position of the borehole, L is the length of the region, and α and β are the amplitude parameters of the geological data.

4. A modeling method for automatically extracting boreholes based on geological maps according to claim 3, characterized in that: The geological modeling control equation of the geological map is: Where R2(x) represents the geological response, represents the Laplace operator, \(k\) is the permeability of the geological material, and S(x) is the geological data source item.

5. A modeling method for automatically extracting boreholes based on geological maps according to claim 4, characterized in that: The solution equation for the geological response in the region under the input of geological data is: Among them, R3(x,z) is the geological response, c i is the geological parameter of the i-th layer, h i (x) is the horizontal response distribution of the i-th layer, g i (z) is the response distribution in the vertical direction of the i-th layer, and n is the number of layers.

6. A modeling method for automatically extracting boreholes based on geological maps according to claim 5, characterized in that: The solving equation based on the geological data and geological response in the region, obtaining the geological responses at different drilling positions in the region and selecting the largest geological response therefrom comprises: The geological data at different borehole locations in the region obtained by formula (1) are used as input parameters in the geological response solution equation (3). Equation (3) is solved to obtain the geological responses at different borehole locations in the region, and the one with the largest response value is selected as the maximum geological response.

7. A modeling method for automatically extracting boreholes based on geological maps according to claim 6, characterized in that: The calculation equation of the geological model limit response spectrum is: Among them, P lim is the limit response value of the geological model, and R3(x,z) is the geological response.

8. A modeling method for automatically extracting boreholes based on geological maps according to claim 6, characterized in that: The calculation equation of the geological model fatigue damage response spectrum is: Among them, D fatigue is the fatigue damage value of the geological model, T is the observation time, and R3(x,z) is the geological response.

9. A readable storage medium, characterized in that: The storage medium is used to store a computer program. When the processor executes the computer program, the steps of the modeling method for automatically extracting boreholes based on a geological map as described in any one of claims 1 to 8 are implemented.

10. A modeling device for automatically extracting boreholes based on geological maps, characterized in that: The equipment includes: Memory for storing computer programs; A processor, for implementing the steps of the modeling method for automatically extracting boreholes based on a geological map as described in any one of claims 1 to 8 when executing a computer program.

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