A method and system for evaluating the exploration effect of manganese ore deposits based on spread spectrum induced polarization

Abstract

A method and system for evaluating the exploration effect of a manganese ore deposit based on a spread spectrum induced polarization method, relating to the technical field of ore deposit exploration; constructing a three-dimensional geological model of a mining area, preliminarily setting up exploration units and obtaining actual exploration data, inverting the actual exploration data to generate an initial geological profile, conducting exploration simulation in the three-dimensional geological model and obtaining simulated exploration data, obtaining the distortion index and spatial influence of the actual exploration data and constructing an exploration correction model, resetting the exploration units and obtaining corrected exploration data, and inverting the corrected exploration data to generate a corrected geological profile; the method can improve the validity of various data obtained during the ore deposit exploration process, is conducive to better reflecting the distribution of the ore deposit, and thus enhances the accuracy of ore deposit exploration.

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 a manganese ore deposit based on a spread spectrum induced polarization method. Background Art

[0002] Using spread spectrum IP for mineral exploration is different from traditional exploration techniques. By combining spread spectrum technology with traditional IP, it optimizes the signal processing and data acquisition process, can better detect and analyze the geological characteristics of mineral deposits, solve the disadvantage of excessive noise interference in previous mineral exploration, and can improve the anti-interference ability of mineral exploration.

[0003] 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. Since different geological conditions will form different signal reflection situations, this will often lead 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 response to the shortcomings of the existing technology, the present invention provides a manganese ore deposit exploration effect evaluation method and system based on the spread spectrum induced polarization method. Summary of the Invention

[0004] 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.

[0005] 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 includes the following modules:

[0006] The geological modeling module is used to obtain the geological characteristic information of the mining area and construct the corresponding three-dimensional geological model based on the geological characteristic information;

[0007] 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;

[0008] The exploration simulation module is used to perform exploration simulation in a three-dimensional geological model and obtain the corresponding simulated exploration data. The distortion index and spatial influence of the actual exploration data are obtained based on the actual exploration data and the simulated exploration data.

[0009] 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.

[0010] Furthermore, the process of obtaining geological characteristic information of the mining area and constructing a corresponding three-dimensional geological model based on the geological characteristic information includes:

[0011] The geological characteristic information refers to the rock type, geological structure, hydrological conditions, geophysical data, geochemical data, geomorphological characteristics, and stratigraphic sequence of the mining area;

[0012] Use 3D geological modeling software to construct a 3D structural model based on geomorphological features and stratigraphic sequences, import geological structures into the 3D structural model, synchronize rock types and hydrological conditions into the 3D structural model, and mark the 3D structural model at this time as a 3D geological model.

[0013] Furthermore, the process of initially setting up an exploration unit, obtaining corresponding actual exploration data, and inverting the actual exploration data to generate a corresponding initial geological profile includes:

[0014] Several measuring points are set up on the surface of the mining area, and exploration units are set up at each measuring point. Each exploration unit simultaneously transmits a signal to its measuring point and receives the reflected signal to obtain the actual exploration data of each measuring point;

[0015] The actual exploration data includes potential data, current data, resistivity data, depth data, and spectrum data. ZondRes2D software is used to invert various actual exploration data and generate corresponding initial geological profiles.

[0016] Furthermore, the process of conducting exploration simulation in the three-dimensional geological model and obtaining corresponding simulated exploration data includes:

[0017] The exploration simulation refers to constructing a mathematical model of signal propagation using the finite difference method in a three-dimensional geological model, synchronizing the positions of each measurement point and its exploration unit to the three-dimensional geological model, and simulating the propagation and reflection of the signal underground using simulation software to obtain simulated exploration data corresponding to each measurement point.

[0018] Furthermore, the process of obtaining the distortion index and spatial influence of the actual exploration data based on the actual exploration data and the simulated exploration data includes:

[0019] The measurement points under the initial setting are 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.

[0020]

[0021] S ai(t) represents the potential data obtained at the monitoring time t at the i-th measurement point in the actual survey data, S bi (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 is based on the signal emission time, and t1 and t2 are the preset analysis time ranges;

[0022] In the actual application scenario and the 3D geological model, a 3D coordinate system with the same origin is constructed to obtain the spatial influence I of a single underground coordinate point (x, y, z);

[0023]

[0024] j is the number of geological parameters inverted by the ZondRes2D software, including density, conductivity, polarizability, and P-wave velocity, j = 1, 2, ..., m, where m is the number of types of geological parameters inverted by the ZondRes2D software;

[0025] D q (t) is the mean value of the distortion index of each data in the actual survey data of the measurement point corresponding to the single coordinate point at the monitoring time t, p j (t) is the value of the geological parameter corresponding to the single coordinate point at the monitoring time t in the actual application scenario, It is the numerical difference between the geological parameters corresponding to the single coordinate point in the actual application scenario and the three-dimensional geological model at the monitoring time t.

[0026] Furthermore, the process of constructing an exploration correction model based on different geological feature information and actual exploration data and their corresponding spatial impacts includes:

[0027] Generate an exploration correction set based on different geological feature information and actual exploration data and the spatial influence of each coordinate point under it, and divide the exploration correction set into a training set and a test set;

[0028] Construct a convolutional neural network, use the 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 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 the initial convolutional neural network;

[0029] The initial convolutional neural network is verified using the test set, and the output of the initial convolutional neural network that is less than or equal to the preset test error threshold is used as the exploration correction model.

[0030] Furthermore, the process of resetting the exploration unit using the exploration correction model, obtaining the corrected exploration data, and inverting the corrected exploration data to generate the corresponding corrected geological profile includes:

[0031] In subsequent application scenarios, the actual exploration data under the initial settings and the geological characteristics of the mining area are input into the exploration correction model to obtain the spatial influence of each coordinate point and divide it into high-influence area, medium-influence area, and influence area;

[0032] Resetting the survey unit means adding measurement points on the surface corresponding to the high-impact area to shorten the distance between adjacent measurement points, adding 0.01-1 Hz low-frequency measurements to the survey units corresponding to the high-impact area and the medium-impact area, and not performing any operations in the low-impact area;

[0033] The revised exploration data of each measurement point under reset are obtained, and the obtained revised exploration data are inverted using the ZondRes2D software to generate a revised geological profile.

[0034] A method for evaluating the exploration effect of manganese ore deposits based on spread spectrum induced polarization method comprises the following steps:

[0035] Step S1: Obtain geological characteristic information of the mining area and construct a corresponding three-dimensional geological model based on the geological characteristic information;

[0036] Step S2: Initially set up an exploration unit, obtain corresponding actual exploration data, and perform inversion on the actual exploration data to generate a corresponding initial geological profile;

[0037] Step S3: Perform exploration simulation in the 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;

[0038] Step S4: constructing an exploration correction model based on different geological feature information and actual exploration data and their corresponding spatial influences, resetting the exploration unit using the exploration correction model, obtaining corrected exploration data, and inverting the corrected exploration data to generate a corresponding corrected geological profile.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] By constructing a three-dimensional geological model of the mining area, the present invention can obtain actual exploration data in actual application scenarios while performing exploration simulation on the three-dimensional geological model to obtain corresponding simulated exploration data. According to the difference between the two, the degree of influence of geological factors in the actual application scenario on signal propagation and reflection during mineral deposit exploration can be obtained, which is specifically reflected in the spatial influence degree. The areas corresponding to different spatial influence degrees are divided into different influence zones, and their measurement points and measurement units are adjusted. This can improve the validity of various data obtained during mineral deposit exploration, help better reflect the distribution of mineral deposits, and thus enhance the accuracy of mineral deposit exploration. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0042] like Figure 1 As shown, a manganese ore deposit exploration effect evaluation system based on spread spectrum induced polarization method includes the following modules:

[0043] The geological modeling module is used to obtain the geological characteristic information of the mining area and construct the corresponding three-dimensional geological model based on the geological characteristic information;

[0044] 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;

[0045] The exploration simulation module is used to perform exploration simulation in a three-dimensional geological model and obtain the corresponding simulated exploration data. The distortion index and spatial influence of the actual exploration data are obtained based on the actual exploration data and the simulated exploration data.

[0046] 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.

[0047] It should be further explained that, in the specific implementation process, the process of obtaining geological characteristic information of the mining area and constructing a corresponding three-dimensional geological model based on the geological characteristic information includes:

[0048] The geological characteristic information refers to the rock types (e.g., igneous rocks, sedimentary rocks, metamorphic rocks), geological structures (including faults, folds, joints), hydrological conditions (e.g., groundwater distribution, quantity, and quality), geophysical data (including gravity, magnetic data, etc.), geochemical data (including the distribution of element contents in soil and rocks), geomorphological features, stratigraphic sequences, etc. of the mining area;

[0049] The mining area is divided into a three-dimensional grid using three-dimensional geological modeling software. A three-dimensional structural model of the mining area's strata is constructed based on the geomorphological features and stratigraphic sequence, including the location and thickness of the stratigraphic interface. The geological structure is then imported into the constructed three-dimensional structural model, including the location and direction of faults, and the morphology of folds and joints. The rock type and hydrological conditions are then synchronized with the three-dimensional structural model, and the three-dimensional structural model at this time is used as the three-dimensional geological model of the mining area.

[0050] It should be further explained that, in the specific implementation process, the process of initially setting up the exploration unit, obtaining the corresponding actual exploration data, and inverting the actual exploration data to generate the corresponding initial geological profile includes:

[0051] Several measuring points are set on the surface of the mining area, with adjacent measuring points being equidistant. Each measuring point is sequentially connected to form a measuring line, and a corresponding exploration unit is set at each measuring point. The exploration unit is specifically a spread spectrum induced polarization triode depth sounding device;

[0052] Each survey unit simultaneously transmits a 5th-order spread spectrum full square wave signal with four combined frequencies to its measurement point, with a reference frequency of 1 / 16 Hz and a supply current of 1.0-8.5 A. The reflected signal is received by a wireless distributed array to obtain the actual survey data of each measurement point. The actual survey data refers to the spread spectrum induced polarization data obtained at each measurement point under the initial settings;

[0053] The actual exploration data includes potential data (including potential changes at the sending and receiving points), current data (including the intensity and direction of the sending current and the response of the receiving current), resistivity data (resistivity values ​​calculated from the potential and current data), depth data (referring to the relationship between signal propagation time and underground depth), and spectrum data (referring to the response of the signal at different frequencies);

[0054] Use ZondRes2D software to invert the actual exploration data obtained and generate the corresponding initial geological profile. The initial geological profile refers to a graphic that cuts the earth's surface along a specific direction to show the geological structure, rock type, geological body distribution and other information below the section.

[0055] Inversion is a key concept in geological exploration, which refers to the process of inferring underground geological structure and geophysical properties from known observation data. The inversion method selected in the present invention is Occam inversion with 10 iterations.

[0056] It should be further explained that, in the specific implementation process, the process of conducting exploration simulation in the three-dimensional geological model and obtaining the corresponding simulated exploration data includes:

[0057] The exploration simulation refers to the use of the finite difference method to construct a mathematical model of signal propagation in a three-dimensional geological model, synchronizing the positions of each measurement point and its exploration unit to the three-dimensional geological model, and using simulation software to simulate the propagation and reflection of the signal underground to obtain 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 three-dimensional geological model.

[0058] It should be further explained that, in the specific implementation process, the process of obtaining the distortion index and spatial influence of the actual exploration data based on the actual exploration data and the simulated exploration data includes:

[0059] Each measurement point under the initial setting is numbered and recorded as i, where i=1, 2, ..., n, and n is the total number of measurement points. The actual exploration data and simulated exploration data both include potential data, current data, resistivity data, depth data, and spectrum data. The distortion index D of the single data in the actual exploration data is obtained based on the difference between the two on the single data, taking the potential data as an example;

[0060]

[0061] Among them, S ai (t) represents the potential data obtained at the monitoring time t at the i-th measurement point in the actual survey data, S bi (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 is based on the signal emission time, and t1 and t2 are the preset analysis time ranges;

[0062] In the actual application scenario and the 3D geological model, a 3D coordinate system of the mining area is constructed respectively, and the coordinate origin of the two is the same. The 3D coordinates of a single underground coordinate point are obtained, recorded as (x, y, z), and the spatial influence degree I of the single coordinate point is obtained;

[0063]

[0064] Wherein, j is the number of the geological parameter inverted by the ZondRes2D software, including density 1, conductivity 2, polarizability 3, P-wave velocity 4, etc., j = 1, 2, ..., m, m is the number of types of geological parameters inverted by the ZondRes2D software;

[0065] D q (t) is the mean value of the distortion index of each data in the actual survey data of the measurement point corresponding to the single coordinate point at the monitoring time t, p j (t) is the value of the geological parameter corresponding to the single coordinate point at the monitoring time t in the actual application scenario, It is the numerical difference between the geological parameters corresponding to the single coordinate point in the actual application scenario and the three-dimensional geological model at the monitoring time t.

[0066] It should be further explained that, in the specific implementation process, the process of constructing the exploration correction model based on different geological feature information and actual exploration data and their corresponding spatial impact includes:

[0067] Generate an exploration correction set based on different geological feature information and actual exploration data and the spatial influence of each coordinate point under it, and divide the exploration correction set into a training set and a test set;

[0068] Construct a convolutional neural network, use the 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 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 the initial convolutional neural network;

[0069] The initial convolutional neural network is verified using the test set, and the output of the initial convolutional neural network that is less than or equal to the preset test error threshold is used as the corresponding exploration correction model.

[0070] It should be further explained that, in the specific implementation process, the process of using the exploration correction model to reset the exploration unit, obtain the corrected exploration data, and invert the corrected exploration data to generate the corresponding corrected geological profile includes:

[0071] In subsequent application scenarios, the actual exploration data obtained under the initial settings and the geological characteristics of the mining area are input into the exploration correction model to obtain the spatial influence corresponding to each coordinate point. If I>0.5, it is marked as a high-impact area; if 0.2<I≤0.5, it is marked as a medium-impact area; if I≤0.2, it is marked as a low-impact area;

[0072] The high-impact area corresponds to a strong reflection interface caused by faults and lithologic mutation zones, the medium-impact area reflects stratum folds and physical property gradient zones, and the low-impact area represents a homogeneous and stable bottom layer.

[0073] Resetting the survey unit means adding measurement points on the surface corresponding to the high-impact area to shorten the distance between adjacent measurement points, adding 0.01-1 Hz low-frequency measurements to the survey 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 one survey unit;

[0074] The spread spectrum induced polarization data of each measurement point obtained under the reset are marked as the corrected exploration data, and the ZondRes2D software is used to invert the obtained corrected exploration data to generate the corresponding corrected geological profile.

[0075] The embodiment of the present invention also includes a method for evaluating the exploration effect of manganese ore deposits based on spread spectrum induced polarization, comprising the following steps:

[0076] Step S1: Obtain geological characteristic information of the mining area and construct a corresponding three-dimensional geological model based on the geological characteristic information;

[0077] Step S2: Initially set up an exploration unit, obtain corresponding actual exploration data, and perform inversion on the actual exploration data to generate a corresponding initial geological profile;

[0078] Step S3: Perform exploration simulation in the 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;

[0079] Step S4: constructing an exploration correction model based on different geological feature information and actual exploration data and their corresponding spatial influences, resetting the exploration unit using the exploration correction model, obtaining corrected exploration data, and inverting the corrected exploration data to generate a corresponding corrected geological profile.

[0080] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A manganese ore deposit exploration effect evaluation system based on spread spectrum induced polarization method, characterized in that: Includes the following modules: The geological modeling module is used to obtain the geological characteristic information of the mining area and construct the 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; The exploration simulation module is used to perform exploration simulation in a three-dimensional geological model and obtain the corresponding simulated exploration data. The distortion index and spatial influence of the actual exploration data are obtained 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 influences, 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; The process of obtaining the distortion index and spatial influence of actual exploration data includes: The measurement points under the initial setting are 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. S ai (t) represents the potential data obtained at the monitoring time t at the i-th measurement point in the actual survey data, S bi (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 is based on the signal emission time, and t1 and t2 are the preset analysis time ranges; In the actual application scenario and the 3D geological model, a 3D coordinate system with the same origin is constructed to obtain the spatial influence I of a single underground coordinate point (x, y, z); j is the number of geological parameters inverted by the ZondRes2D software, including density, conductivity, polarizability, and P-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 value of the distortion index of each data in the actual survey data of the measurement point corresponding to the single coordinate point at the monitoring time t, p j (t) is the value of the geological parameter corresponding to the single coordinate point at the monitoring time t in the actual application scenario, It is the numerical difference between the geological parameters corresponding to the single coordinate point in the actual application scenario and the three-dimensional geological model at the monitoring time t.

2. The manganese ore deposit exploration effect evaluation system based on spread spectrum induced polarization method according to claim 1, characterized in that: The process of obtaining geological feature information and constructing a 3D geological model includes: The geological characteristic information refers to the rock type, geological structure, hydrological conditions, geophysical data, geochemical data, geomorphological characteristics, and stratigraphic sequence of the mining area; Use 3D geological modeling software to construct a 3D structural model based on geomorphological features and stratigraphic sequences, import geological structures into the 3D structural model, synchronize rock types and hydrological conditions into the 3D structural model, and mark the 3D structural model at this time as a 3D geological model.

3. The manganese ore deposit exploration effect evaluation system based on spread spectrum induced polarization method according to claim 2, characterized in that: The process of obtaining actual exploration data and generating an initial geological profile includes: Several measuring points are set up on the surface of the mining area, and exploration units are set up at each measuring point. Each exploration unit simultaneously transmits a signal to its measuring point and receives the reflected signal to obtain the actual exploration data of each measuring point; The actual exploration data includes potential data, current data, resistivity data, depth data, and spectrum data. ZondRes2D software is used to invert various actual exploration data and generate corresponding initial geological profiles.

4. The manganese ore deposit exploration effect evaluation system based on spread spectrum induced polarization method according to claim 3, characterized in that: The process of conducting exploration simulation in a 3D 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 a three-dimensional geological model, synchronizing the positions of each measurement point and its exploration unit to the three-dimensional geological model, and simulating the propagation and reflection of the signal underground using simulation software to obtain simulated exploration data corresponding to each measurement point.

5. The manganese ore deposit exploration effect evaluation system based on spread spectrum induced polarization method according to claim 4, characterized in that: The process of building a survey correction model includes: Generate an exploration correction set based on different geological feature information and actual exploration data and the spatial influence of each coordinate point under it, and divide the exploration correction set into a training set and a test set; Construct a convolutional neural network, use the 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 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 the initial convolutional neural network; The initial convolutional neural network is verified using the test set, and the output of the initial convolutional neural network that is less than or equal to the preset test error threshold is used as the exploration correction model.

6. The manganese ore deposit exploration effect evaluation system based on spread spectrum induced polarization method according to claim 5, characterized in that: The process of obtaining corrected exploration data and generating corrected geological profiles includes: In subsequent application scenarios, the actual exploration data under the initial settings and the geological characteristics of the mining area are input into the exploration correction model to obtain the spatial influence of each coordinate point and divide it into high-influence area, medium-influence area, and influence area; Resetting the survey unit means adding measurement points on the surface corresponding to the high-impact area to shorten the distance between adjacent measurement points, adding 0.01-1 Hz low-frequency measurements to the survey units corresponding to the high-impact area and the medium-impact area, and not performing any operations in the low-impact area; The revised exploration data of each measurement point under reset are obtained, and the obtained revised exploration data are inverted using the ZondRes2D software to generate a revised geological profile.

7. A method for evaluating the exploration effect of a manganese ore deposit based on a spread spectrum induced polarization method, which is implemented based on a manganese ore deposit exploration effect evaluation system based on a spread spectrum induced polarization method according to any one of claims 1 to 6, characterized in that: The method comprises: Step S1: Obtain geological characteristic information of the mining area and construct a corresponding three-dimensional geological model based on the geological characteristic information; Step S2: Initially set up an exploration unit, obtain corresponding actual exploration data, and perform inversion on the actual exploration data to generate a corresponding initial geological profile; Step S3: Perform exploration simulation in the 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; Step S4: constructing an exploration correction model based on different geological feature information and actual exploration data and their corresponding spatial influences, resetting the exploration unit using the exploration correction model, obtaining corrected exploration data, and inverting the corrected exploration data to generate a corresponding corrected geological profile.

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