Manganese ore deposit exploration effect evaluation method and system based on spread spectrum induced polarization method

Abstract

The invention discloses a manganese ore deposit exploration effect evaluation method and system based on a spread spectrum induced polarization method, and relates to the technical field of deposit exploration. The method comprises the following steps: constructing a three-dimensional geologic model of a mining area, initially arranging an exploration unit and acquiring actual exploration data, inverting the actual exploration data to generate an initial geologic profile map, performing exploration simulation in the three-dimensional geologic model and acquiring simulated exploration data, acquiring a distortion index and a spatial influence degree of the actual exploration data and constructing an exploration correction model; the exploration unit is reset, corrected exploration data are obtained, and inversion is carried out on the corrected exploration data to generate a corrected geological profile map; the effectiveness of various data obtained in the ore deposit exploration process can be improved, the distribution condition of an ore deposit can be better reflected, and then the accuracy of ore deposit exploration is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of mineral deposit exploration, and in particular to a method and system for evaluating the exploration effect of manganese ore deposits based on a spread spectrum induced polarization method. Background Art

[0002] The use of spread spectrum IP for mineral exploration is different from the traditional exploration technology. It optimizes the signal processing and data acquisition process by combining spread spectrum technology and traditional IP, and can better detect and analyze the geological characteristics of mineral deposits. It solves the problem that mineral exploration is too disturbed by noise in the past, and can improve the anti-interference ability of mineral exploration. However, although the spread spectrum induced polarization method can reduce the impact of noise interference on signal propagation, it cannot solve the impact of different geological conditions on signal reflection. Different geological conditions will form different signal reflection situations, which often leads to the inevitable distortion of the signal received on the ground, making the inverted geological profile not accurate enough, affecting the final mineral exploration results. In view of the shortcomings of the prior art, the present invention provides a method and system for evaluating the exploration effect of manganese ore deposits based on the spread spectrum induced polarization method. Summary of the invention

[0003] The object of the present invention is to provide a method and system for evaluating the exploration effect of manganese ore deposits based on spread spectrum induced polarization.

[0004] The purpose of the present invention can be achieved by the following technical solution: A manganese ore deposit exploration effect evaluation system based on spread spectrum induced polarization method, comprising the following modules: The geological modeling module is used to obtain the geological characteristic information of the mining area and construct a corresponding three-dimensional geological model based on the geological characteristic information; The data acquisition module is used to initially set up the exploration unit, obtain the corresponding actual exploration data, and invert the actual exploration data to generate the corresponding initial geological profile; An exploration simulation module is used to perform exploration simulation in a three-dimensional geological model and obtain corresponding simulated exploration data, and obtain the distortion index and spatial influence of the actual exploration data based on the actual exploration data and the simulated exploration data; The data correction module is used to construct an exploration correction model based on different geological feature information and actual exploration data and their corresponding spatial influence, use the exploration correction model to reset the exploration unit, obtain corrected exploration data, and invert the corrected exploration data to generate the corresponding corrected geological profile.

[0005] Furthermore, the process of obtaining geological characteristic information of the mining area and constructing a corresponding three-dimensional geological model according to the geological characteristic information includes: The geological feature information refers to the rock type, geological structure, hydrogeological condition, geophysical data, geochemical data, geomorphic feature, and stratigraphic sequence of the mining area; Using 3D geological modeling software, a 3D structure model is constructed based on the geomorphic feature and stratigraphic sequence. The geological structure is imported into the 3D structure model, and the rock type and hydrogeological condition are synchronized into the 3D structure model. The 3D structure model at this time is marked as the 3D geological model.

[0006] Furthermore, the process of initially setting exploration units and obtaining corresponding actual exploration data and inversing the actual exploration data to generate corresponding initial geological profiles includes: A number of measurement points are set on the surface of the mining area, and exploration units are respectively set at each measurement point. Signals are emitted from each exploration unit to its measurement point, and the reflected signals are received to obtain the actual exploration data of each measurement point; The actual exploration data includes potential data, current data, resistivity data, depth data, and frequency spectrum data. The ZondRes2D software is used to inverse each item of actual exploration data and generate corresponding initial geological profiles.

[0007] Furthermore, the process of conducting exploration simulation in the 3D geological model and obtaining corresponding simulated exploration data includes: The exploration simulation means that in the 3D geological model, a mathematical model of signal propagation is constructed using the finite difference method. The positions of each measurement point and its exploration unit are synchronized into the 3D geological model, and a simulation software is used to simulate the propagation and reflection of signals underground to obtain the simulated exploration data corresponding to each measurement point.

[0008] Furthermore, the process of obtaining the distortion index and spatial influence degree of the actual exploration data based on the actual exploration data and the simulated exploration data includes: Each measurement point under the initial setting is numbered as i, i = 1, 2,..., n, where n is the total number of measurement points. The distortion index D of the single data in the actual exploration data is obtained based on the difference between the actual exploration data and the simulated exploration data on the single data;

[0009] S ai S(t) represents the potential data obtained at the i-th measurement point in the actual exploration data at the monitoring time t. S bi S(t) represents the potential data obtained at the i-th measurement point in the simulated exploration data at the monitoring time t. The monitoring time starts from the signal emission time, and t1 and t2 are the preset analysis time ranges; Construct a three-dimensional coordinate system with the same origin in the actual application scenario and the three-dimensional geological model, and obtain the spatial influence degree I of a single underground coordinate point (x, y, z).

[0010] j is the number of geological parameters inverted by the ZondRes2D software, including density, conductivity, polarizability, and longitudinal wave velocity. j = 1, 2, ……, m, where m is the number of types of geological parameters inverted by the ZondRes2D software; D q (t) is the mean of the distortion indices of the data items in the actual exploration data of the measurement point corresponding to this single coordinate point at the monitoring time t, p j (t) is the value of the geological parameter corresponding to this single coordinate point in the actual application scenario at the monitoring time t, is the numerical difference of the geological parameter corresponding to this single coordinate point in the actual application scenario and the three-dimensional geological model at the monitoring time t.

[0011] Furthermore, the process of constructing an exploration correction model based on different geological feature information, actual exploration data, and their corresponding spatial influence degrees includes: Generate an exploration correction set based on different geological feature information, actual exploration data, and the spatial influence degrees of each coordinate point thereunder, and divide the exploration correction set into a training set and a test set; Construct a convolutional neural network. Use different geological feature information and actual exploration data in the training set as the input data of the convolutional neural network, and use the spatial influence degrees corresponding to each coordinate point in the training set as the output data of the convolutional neural network, and train the convolutional neural network to obtain an initial convolutional neural network; Use the test set to verify the initial convolutional neural network model, and output the initial convolutional neural network with a test error threshold less than or equal to the preset value as the exploration correction model.

[0012] Furthermore, the process of using the exploration correction model to reset the exploration unit, obtain the corrected exploration data, and perform inversion on the corrected exploration data to generate the corresponding corrected geological cross-section includes: In the subsequent application scenario, input the actual exploration data under the initial setting and the geological feature information of the mining area into the exploration correction model to obtain the spatial influence degrees of each coordinate point, and divide them into high-influence areas, medium-influence areas, and influence areas; The resetting of the exploration unit means adding measurement points on the ground corresponding to the high-influence area to shorten the distance between adjacent measurement points, adding 0.01 - 1 Hz low-frequency measurements to the exploration units corresponding to the high-influence area and the medium-influence area, and not performing any operations on the low-influence area; Obtain the corrected exploration data for each measurement point under reset, and use ZondRes2D software to invert the obtained corrected exploration data to generate a corrected geological profile.

[0013] A method for evaluating the exploration effect of a manganese ore deposit based on the spread spectrum induced polarization method, comprising the following steps: Step S1: Obtain the geological feature information of the mining area, and construct a corresponding three-dimensional geological model according to the geological feature information; Step S2: Initially set exploration units, obtain the corresponding actual exploration data, and invert the actual exploration data to generate a corresponding initial geological profile; Step S3: Conduct exploration simulation in the three-dimensional geological model, obtain the corresponding simulated exploration data, and obtain the distortion index and spatial influence degree of the actual exploration data based on the actual exploration data and the simulated exploration data; Step S4: Construct an exploration correction model according to different geological feature information, actual exploration data and their corresponding spatial influence degrees, use the exploration correction model to reset the exploration units, obtain the corrected exploration data, and invert the corrected exploration data to generate a corresponding corrected geological profile.

[0014] Compared with the prior art, the beneficial effects of the present invention are: By constructing a three-dimensional geological model of the mining area, the present invention can, while obtaining the actual exploration data in the actual application scenario, conduct exploration simulation on the three-dimensional geological model to obtain the corresponding simulated exploration data, and can obtain the influence degree of the geological factors in the actual application scenario on the signal propagation and reflection during the ore deposit exploration process according to the difference between the two, which is specifically reflected in the spatial influence degree. Divide the areas corresponding to different spatial influence degrees into different influence areas, and adjust their measurement points and measurement units, which can improve the effectiveness of the data obtained during the ore deposit exploration process, is conducive to better reflecting the distribution of the ore deposit, and further enhances the accuracy of the ore deposit exploration. Description of the Drawings

[0015] Figure 1 It is the schematic diagram of the present invention. Detailed Embodiments

[0016] As Figure 1 shown, a system for evaluating the exploration effect of a manganese ore deposit based on the spread spectrum induced polarization method includes the following modules: A geological modeling module for obtaining the geological feature information of the mining area and constructing a corresponding three-dimensional geological model according to the geological feature information; A data acquisition module for initially setting exploration units, obtaining the corresponding actual exploration data, and inverting the actual exploration data to generate a corresponding initial geological profile; An exploration simulation module, which is used to conduct exploration simulation in a 3D geological model, obtain corresponding simulated exploration data, and obtain the distortion index and spatial influence degree of the actual exploration data based on the actual exploration data and the simulated exploration data; A data correction module, which is used to construct an exploration correction model according to different geological feature information, the actual exploration data and its corresponding spatial influence degree, reset exploration units by using the exploration correction model, obtain corrected exploration data, and perform inversion on the corrected exploration data to generate a corresponding corrected geological profile.

[0017] It should be further noted that in the specific implementation process, the process of obtaining the geological feature information of the mining area and constructing a corresponding 3D geological model includes: The geological feature information refers to the rock types in the mining area (such as igneous rocks, sedimentary rocks, metamorphic rocks), geological structures (including faults, folds, joints), hydrogeological conditions (such as groundwater distribution, water volume and water quality), geophysical data (including gravity, magnetic force and other data), geochemical data (including the elemental content distribution in soil and rocks), landform features, stratigraphic sequences, etc.; Use 3D geological modeling software to divide the mining area into 3D grids, construct a 3D structural model of the mining area strata according to the landform features and stratigraphic sequences, including the position and thickness of the stratum interface, import the geological structure into the constructed 3D structural model, including the position and strike of the fault, the morphology of the fold and joint, and then synchronize the rock type and hydrogeological conditions into the 3D structural model. The 3D structural model at this time is used as the 3D geological model of the mining area.

[0018] It should be further noted that in the specific implementation process, the process of initially setting exploration units, obtaining corresponding actual exploration data, and performing inversion on the actual exploration data to generate a corresponding initial geological profile includes: Set several measurement points on the surface of the mining area, with equal distances between adjacent measurement points, connect each measurement point in turn to form a measurement line, and set corresponding exploration units at each measurement point. The exploration unit is specifically a spread spectrum induced polarization three-electrode sounding device; Simultaneously transmit 5-order spread spectrum full square wave signals with 4 combined frequencies by each exploration unit to its measurement point, with a reference frequency of 1 / 16 Hz and a supply current of 1.0 - 8.5 A, and use a wireless distributed array to receive the reflected signals to obtain the actual exploration data of each measurement point. The actual exploration data refers to the spread spectrum induced polarization data obtained at each measurement point under the initial setting; The actual exploration data includes potential data (including potential changes at the sending point and receiving point), current data (including the intensity and direction of the sending current, and the response of the receiving current), resistivity data (resistivity values calculated from potential and current data), depth data (referring to the relationship between signal propagation time and underground depth), and spectral data (referring to the response of the signal at different frequencies); Use ZondRes2D software to invert the obtained actual exploration data and generate the corresponding initial geological profile. The initial geological profile refers to a graph that cuts the Earth's surface along a specific direction to display information such as geological structures, rock types, and geological body distributions below the section; The inversion is a key concept in geological exploration. It refers to the process of inferring the underground geological structure and geophysical properties through known observational data. The inversion method selected in the present invention is Occam inversion, and the number of iterations is 10.

[0019] It should be further noted that in the specific implementation process, the process of performing exploration simulation in the 3D geological model and obtaining the corresponding simulated exploration data includes: The exploration simulation refers to using the finite difference method to construct a mathematical model of signal propagation in the 3D geological model, synchronizing the positions of each measurement point and its exploration unit to the 3D geological model, and using simulation software to simulate the propagation and reflection of signals underground to obtain the simulated exploration data corresponding to each measurement point. The simulated exploration data refers to the spread spectrum induced polarization data of each measurement point under ideal conditions in the 3D geological model.

[0020] It should be further noted that in the specific implementation process, the process of obtaining the distortion index and spatial influence degree of the actual exploration data based on the actual exploration data and the simulated exploration data includes: Each measurement point under the initial setting is numbered, denoted as i, where i = 1, 2,..., n, and n is the total number of measurement points. Both the actual exploration data and the simulated exploration data include potential data, current data, resistivity data, depth data, and spectral data. The distortion index D of the single data in the actual exploration data is obtained based on the difference between the two in the single data. Taking potential data as an example;

[0021] Among them, S ai (t) represents the potential data obtained at the i-th measurement point in the actual exploration data at the monitoring time t. S bi (t) represents the potential data obtained at the i-th measurement point in the simulated exploration data at the monitoring time t. The monitoring time starts from the signal emission time, and t1 and t2 are the preset analysis time ranges; Construct a three-dimensional coordinate system for the mining area in the actual application scenario and the three-dimensional geological model respectively, with the same coordinate origin for both. Obtain the three-dimensional coordinates of a single underground coordinate point, denoted as (x, y, z), and obtain the spatial influence degree I of this single coordinate point.

[0022] Among them, j is the number of the geological parameters inverted by the ZondRes2D software, including density 1, conductivity 2, polarizability 3, longitudinal wave velocity 4, etc., j = 1, 2, ……, m, and m is the number of types of geological parameters inverted by the ZondRes2D software. D q (t) is the mean value of the distortion indices of the data items in the actual exploration data of the measurement point corresponding to this single coordinate point at the monitoring time t, p j (t) is the value of the geological parameter corresponding to this single coordinate point in the actual application scenario at the monitoring time t. is the numerical difference of the geological parameter corresponding to this single coordinate point in the actual application scenario and the three-dimensional geological model at the monitoring time t.

[0023] It should be further noted that in the specific implementation process, the process of constructing an exploration correction model according to different geological feature information, actual exploration data and their corresponding spatial influence degrees includes: Generate an exploration correction set according to different geological feature information, actual exploration data and the spatial influence degrees corresponding to each coordinate point thereunder, and divide the exploration correction set into a training set and a test set. Construct a convolutional neural network, use different geological feature information and actual exploration data in the training set as the input data of the convolutional neural network, use the spatial influence degrees corresponding to each coordinate point in the training set as the output data of the convolutional neural network, and train the convolutional neural network to obtain an initial convolutional neural network. Use the test set to verify the initial convolutional neural network model, and output the initial convolutional neural network with a test error threshold less than or equal to the preset value as the corresponding exploration correction model.

[0024] It should be further noted that in the specific implementation process, the process of resetting the exploration unit by using the exploration correction model, obtaining the corrected exploration data, and performing inversion on the corrected exploration data to generate the corresponding corrected geological profile includes: In the subsequent application scenario, input the actual exploration data and the geological feature information of the mining area obtained under the initial setting into the exploration correction model to obtain the spatial influence degree corresponding to each coordinate point. If I > 0.5, mark it as a high-influence area; if 0.2 < I ≤ 0.5, mark it as a medium-influence area; if I ≤ 0.2, mark it as a low-influence area. The high-impact area corresponds to strong reflection interfaces caused by faults and lithological mutation zones. The medium-impact area reflects formation folds and gradual property change zones. The low-impact area represents a homogeneous and stable bottom layer; The reset exploration unit means adding measurement points on the surface corresponding to the high-impact area to shorten the distance between adjacent measurement points, adding low-frequency measurements of 0.01 - 1 Hz in the exploration units corresponding to the high-impact area and the medium-impact area, and not performing any operations on the low-impact area. Each measurement point corresponds to an exploration unit; Mark the spread-spectrum induced polarization data of each measurement point obtained after resetting as corrected exploration data, and use ZondRes2D software to invert the obtained corrected exploration data to generate corresponding corrected geological profiles.

[0025] In the embodiment of the present invention, there is also included a method for evaluating the exploration effect of a manganese ore deposit based on the spread-spectrum induced polarization method, including the following steps: Step S1: Obtain the geological feature information of the mining area, and construct a corresponding three-dimensional geological model according to the geological feature information; Step S2: Initially set exploration units, obtain corresponding actual exploration data, and invert the actual exploration data to generate corresponding initial geological profiles; Step S3: Conduct exploration simulation in the three-dimensional geological model, obtain corresponding simulated exploration data, and obtain the distortion index and spatial influence degree of the actual exploration data based on the actual exploration data and the simulated exploration data; Step S4: Construct an exploration correction model according to different geological feature information, actual exploration data, and their corresponding spatial influence degrees, use the exploration correction model to reset the exploration units, obtain corrected exploration data, and invert the corrected exploration data to generate corresponding corrected geological profiles.

[0026] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An exploration effect evaluation system for manganese ore deposits based on the spread spectrum induced polarization method, characterized in that, It includes the following modules: A geological modeling module, which is used to obtain geological feature information of a mining area and construct a corresponding three-dimensional geological model according to the geological feature information; A data acquisition module, which is used to initially set up exploration units, obtain corresponding actual exploration data, and invert the actual exploration data to generate corresponding initial geological profiles; An exploration simulation module, which is used to conduct exploration simulation in the three-dimensional geological model, obtain corresponding simulated exploration data, and obtain the distortion index and spatial influence degree of the actual exploration data according to the actual exploration data and the simulated exploration data; A data correction module, which is used to construct an exploration correction model according to different geological feature information, actual exploration data and their corresponding spatial influence degrees, reset the exploration units by using the exploration correction model, obtain corrected exploration data, and invert the corrected exploration data to generate corresponding corrected geological profiles.

2. The exploration effect evaluation system for manganese ore deposits based on the spread spectrum induced polarization method according to claim 1, characterized in that, The process of obtaining geological feature information and constructing a three-dimensional geological model includes: The geological feature information refers to the rock type, geological structure, hydrogeological conditions, geophysical data, geochemical data, geomorphic features, and stratigraphic sequence of the mining area; Using three-dimensional geological modeling software to construct a three-dimensional structure model according to geomorphic features and stratigraphic sequence, importing the geological structure into the three-dimensional structure model, synchronizing the rock type and hydrogeological conditions into the three-dimensional structure model, and marking the three-dimensional structure model at this time as the three-dimensional geological model.

3. The exploration effect evaluation system of a manganese ore deposit based on the spread spectrum induced polarization method according to claim 2, wherein, The process of obtaining actual exploration data and generating an initial geological profile includes: Setting several measurement points on the surface of the mining area, setting exploration units at each measurement point, simultaneously emitting signals from each exploration unit to its measurement point, and receiving the reflected signals to obtain the actual exploration data of each measurement point; The actual exploration data includes potential data, current data, resistivity data, depth data, and spectrum data. Using ZondRes2D software to invert each item of actual exploration data and generate corresponding initial geological profiles.

4. An exploration effect evaluation system for manganese ore deposits based on the spread spectrum induced polarization method according to claim 3, characterized in that, The process of conducting exploration simulation in the three-dimensional geological model and obtaining simulated exploration data includes: The exploration simulation refers to constructing a mathematical model of signal propagation using the finite difference method in the three-dimensional geological model, synchronizing the positions of each measurement point and its exploration unit into the three-dimensional geological model, and using simulation software to simulate the propagation and reflection of signals underground to obtain the simulated exploration data corresponding to each measurement point.

5. The exploration effect evaluation system for manganese ore deposits based on the spread spectrum induced polarization method according to claim 4, characterized in that, The process of obtaining the distortion index and spatial influence degree of the actual exploration data includes: Numbering each measurement point under the initial setting as i, i = 1, 2,..., n, where n is the total number of measurement points, and obtaining the distortion index D of the single data in the actual exploration data according to the difference between the actual exploration data and the simulated exploration data on the single data; S ai S(t) represents the potential data obtained at the i-th measurement point in the actual exploration data at the monitoring time t bi S'(t) represents the potential data obtained at the i-th measurement point in the simulated exploration data at the monitoring time t, where the monitoring time starts from the signal emission time, and t1 and t2 are preset analysis time ranges; Constructing a three-dimensional coordinate system with the same origin in the actual application scenario and the three-dimensional geological model, and obtaining the spatial influence degree I of a single underground coordinate point (x, y, z); j is the number of geological parameters inverted by ZondRes2D software, including density, conductivity, polarizability, and longitudinal wave velocity, j = 1, 2,..., m, where m is the number of types of geological parameters inverted by ZondRes2D software; D q (t) is the mean value of the distortion indices of each data item in the actual exploration data of the measurement point corresponding to this single coordinate point at the monitoring time t, p j (t) is the value of the geological parameter corresponding to this single coordinate point in the actual application scenario at the monitoring time t, is the numerical difference of the geological parameter corresponding to this single coordinate point in the actual application scenario and the 3D geological model at the monitoring time t.

6. The exploration effect evaluation system for manganese ore deposits based on the spread spectrum induced polarization method according to claim 5, wherein, The process of constructing an exploration correction model includes: Generate an exploration correction set based on different geological feature information, actual exploration data, and the spatial influence degrees of each coordinate point thereunder, and divide the exploration correction set into a training set and a test set; Construct a convolutional neural network. Use different geological feature information and actual exploration data in the training set as the input data of the convolutional neural network, and use the spatial influence degrees corresponding to each coordinate point in the training set as the output data of the convolutional neural network, and train the convolutional neural network to obtain an initial convolutional neural network; Use the test set to verify the model of the initial convolutional neural network, and output the initial convolutional neural network with a test error threshold less than or equal to the preset value as the exploration correction model.

7. An exploration effect evaluation system for manganese ore deposits based on the spread spectrum induced polarization method according to claim 6, characterized in that The process of obtaining corrected exploration data and generating a corrected geological cross-section diagram includes: In subsequent application scenarios, input the actual exploration data under the initial setting and the geological feature information of the mining area into the exploration correction model to obtain the spatial influence degrees of each coordinate point, and divide them into high-influence areas, medium-influence areas, and influence areas; The reset exploration unit refers to adding measurement points on the ground corresponding to the high-influence area to shorten the spacing between adjacent measurement points, adding 0.01 - 1 Hz low-frequency measurements to the exploration units corresponding to the high-influence area and the medium-influence area, and not performing any operations on the low-influence area; Obtain the corrected exploration data of each measurement point under the re-setting, and use ZondRes2D software to invert the obtained corrected exploration data to generate a corrected geological cross-section diagram.

8. A method for evaluating the exploration effect of a manganese ore deposit based on the spread-spectrum induced polarization method, which is realized based on the system for evaluating the exploration effect of a manganese ore deposit based on the spread-spectrum induced polarization method described in any one of claims 1-7, and is characterized in that, The method includes: Step S1: Obtain the geological feature information of the mining area, and construct a corresponding three-dimensional geological model according to the geological feature information; Step S2: Initially set the exploration unit, obtain the corresponding actual exploration data, and invert the actual exploration data to generate a corresponding initial geological cross-section diagram; Step S3: Conduct exploration simulation in the three-dimensional geological model, obtain the corresponding simulated exploration data, and obtain the distortion index and spatial influence degree of the actual exploration data based on the actual exploration data and the simulated exploration data; Step S4: Construct an exploration correction model according to different geological feature information, actual exploration data, and their corresponding spatial influence degrees, use the exploration correction model to reset the exploration unit, obtain the corrected exploration data, and invert the corrected exploration data to generate a corresponding corrected geological cross-section diagram.

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