Manganese ore prospecting method, device, equipment and medium

Abstract

The invention discloses a manganese ore prospecting method, device, equipment and medium, and relates to the field of data processing.The manganese ore prospecting method comprises the steps that a jet flow center area of a target area is determined according to gravity data of the target area and aeromagnetic data subjected to chemical pole anomaly processing; carrying out chemical test analysis on the manganese ore sample in the jet flow central area, and determining the characteristics of the manganese ore in the jet flow central area; performing French group manganese ore special geological mapping on the jet flow center area, and determining geological section information of a first section of the jet flow center area; determining a prospecting prediction area of the first section by combining the manganese ore characteristics and the geological section information; performing inversion on the French group manganese-containing ore layer of the jet flow center area in combination with known drilling data of the prospecting prediction area, and determining a three-dimensional model of the French group manganese-containing ore layer of the jet flow center area; and based on the three-dimensional model, performing audio magnetotelluric sounding on the jet flow center area, and optimizing predicted manganese ore data of each geographic position of the jet flow center area.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and particularly to a manganese ore prospecting method, device, equipment and medium. Background Art

[0002] As an important mineral resource widely used in the fields of industry, agriculture and new energy, the development and utilization technology of manganese ore is of great significance to economic development. However, with the gradual depletion of shallow manganese ore resources, it is urgent to detect deep ore bodies. Summary of the Invention

[0003] The purpose of the present invention is to provide a manganese ore prospecting method, device, equipment and medium for detecting deep ore bodies.

[0004] To achieve the above purpose, the present invention provides the following technical solutions: A manganese ore prospecting method, comprising: Determining the jet center area of the target area according to the gravity data of the target area and the aeromagnetic data after reduction to the pole anomaly processing; Performing chemical test analysis on the manganese ore samples in the jet center area to determine the manganese ore characteristics of the jet center area; Performing special geological mapping of the manganese ore of the Falang Formation on the jet center area to determine the geological profile information of the first profile of the jet center area; Combining the manganese ore characteristics and the geological profile information to determine the ore prospecting prediction area of the first profile; Inverting the manganese ore-bearing layer of the Falang Formation in the jet center area by combining the known borehole data of the ore prospecting prediction area to determine the three-dimensional model of the manganese ore-bearing layer of the Falang Formation in the jet center area; wherein, the three-dimensional model includes the predicted manganese ore data at each geographical location in the jet center area, and the predicted manganese ore data includes the predicted depth of the manganese ore-bearing layer of the Falang Formation and the predicted manganese ore storage; Based on the three-dimensional model, performing audio magnetotelluric sounding on the jet center area, optimizing the predicted manganese ore data at each geographical location in the jet center area, and determining the information of the manganese ore-bearing layer of the Falang Formation in the jet center area.

[0005] In an alternative embodiment of the present application, it further includes: Obtaining the high-resolution and hyperspectral remote sensing image of the study area; Extracting the alteration information from the high-resolution and hyperspectral remote sensing image to determine the alteration mineral information of the study area; Interpreting the line-loop structure and fold structure of the high-resolution and hyperspectral remote sensing image to determine the remote sensing geological interpretation map of the study area; Based on the remote sensing geological interpretation map, the altered mineral information, and the known manganese ore data information of the study area, determine the target area of the study area.

[0006] In an alternative embodiment of the present application, the determining the jet center area of the target area based on the gravity data of the target area and the aeromagnetic data after reduction to the pole anomaly includes: Perform reduction to the pole anomaly processing on the aeromagnetic data of the target area to obtain the aeromagnetic data after reduction to the pole anomaly; Perform comprehensive upward continuation and vertical second derivative processing on the gravity data of the target area and the aeromagnetic data after reduction to the pole anomaly to determine the deep anomaly information and boundary anomaly information of the target area; Based on the deep anomaly information and the boundary anomaly information, determine the regional rift graben and rock mass distribution characteristics of the target area; Combine the regional rift graben and rock mass distribution characteristics to determine the jet center area of the target area.

[0007] In an alternative embodiment of the present application, the performing special geological mapping of the manganese ore in the Falang Formation in the jet center area to determine the geological profile information of the first profile in the jet center area includes: According to the geological structure and paleogeographic characteristics of the jet center area, select the manganese ore-bearing layer of the Falang Formation in the Triassic as the geological mapping unit, and perform special geological mapping of the Falang Formation on the jet center area to obtain the profile structure of the first profile in the jet center area; Identify the manganese ore-bearing layer of the Falang Formation in the profile structure of the first profile to determine the geological profile information of the first profile in the jet center area.

[0008] In an alternative embodiment of the present application, the combining the manganese ore characteristics and the geological profile information to determine the ore prospecting prediction area of the first profile includes: Perform distribution analysis of the manganese ore-bearing layer of the Falang Formation on the manganese ore characteristics and the geological profile information to determine the ore prospecting prediction area of the first profile.

[0009] In an alternative embodiment of the present application, the combining the known borehole data of the ore prospecting prediction area to invert the manganese ore-bearing layer of the Falang Formation in the jet center area to determine the three-dimensional model of the manganese ore-bearing layer of the Falang Formation in the jet center area includes: Input the known borehole data of the ore prospecting prediction area into the inversion model of the manganese ore-bearing layer of the Falang Formation, so that the inversion model of the manganese ore-bearing layer of the Falang Formation predicts the manganese ore data at each geographical location in the jet center area based on the known borehole data, and determine the predicted manganese ore data at each geographical location in the jet center area; Based on the predicted manganese ore data of each geographical location in the jet center region, determine the three-dimensional model of the manganese ore-bearing layer of the Falang Formation in the jet center region.

[0010] In an alternative embodiment of the present application, based on the three-dimensional model, perform magnetotelluric sounding on the jet center region, optimize the predicted manganese ore data of each geographical location in the jet center region, and determine the information of the manganese ore-bearing layer of the Falang Formation in the jet center region, including: Adopt the magnetotelluric sounding method to determine the underground resistivity distribution of multiple second profiles in the jet center region; Combined with the underground resistivity distribution of multiple second profiles in the jet center region, invert the predicted manganese ore data corresponding to the multiple second profiles in the three-dimensional model to determine the information of the manganese ore-bearing layer of the Falang Formation in the jet center region.

[0011] Compared with the prior art, the manganese ore prospecting method provided by the present invention completes the screening of the jet center region in the target region through the aeromagnetic data and gravity data of the target region, and on the basis of the special geological mapping of the Falang Formation manganese ore in the jet center region, combines the geological profile information obtained from the geological mapping and the manganese ore characteristics of the manganese ore samples to determine the prospecting prediction region, realizing the preliminary locking of manganese ore resources; and on this basis, combined with the known borehole data in the prospecting prediction region, invert and predict the depth and manganese ore storage of the manganese ore-bearing layer of the Falang Formation at different geographical locations in the jet center region to obtain the predicted manganese ore data, and optimize the predicted manganese ore data by combining the magnetotelluric sounding technology, realizing the precise exploration of the depth and manganese ore storage of the manganese ore-bearing layer of the Falang Formation in the jet center region.

[0012] The present invention also provides a manganese ore prospecting device, including: A jet center determination unit, configured to determine the jet center region of the target region according to the gravity data of the target region and the aeromagnetic data after reduction to the pole anomaly processing; A chemical test analysis unit, configured to perform chemical test analysis on the manganese ore samples in the jet center region to determine the manganese ore characteristics of the jet center region; A special geological mapping unit, configured to perform special geological mapping of the Falang Formation manganese ore on the jet center region to determine the geological profile information of the first profile in the jet center region; A prediction region determination unit, configured to determine the prospecting prediction region of the first profile by combining the manganese ore characteristics and the geological profile information; A three-dimensional model determination unit is configured to invert the manganese ore-bearing layer of the Falang Formation in the jet center region by combining the known borehole data of the ore prospecting prediction region, and determine the three-dimensional model of the manganese ore-bearing layer of the Falang Formation in the jet center region; wherein, the three-dimensional model includes the predicted manganese ore data at each geographical location in the jet center region, and the predicted manganese ore data includes the predicted depth of the manganese ore-bearing layer of the Falang Formation and the predicted manganese ore storage volume. A manganese ore information determination unit is configured to perform audio magnetotelluric sounding on the jet center region based on the three-dimensional model, optimize the predicted manganese ore data at each geographical location in the jet center region, and determine the information of the manganese ore-bearing layer of the Falang Formation in the jet center region.

[0013] Compared with the prior art, the beneficial effects of the manganese ore prospecting device provided by the present invention are the same as those of the manganese ore prospecting method described in the above technical solution, and will not be elaborated here.

[0014] The present invention also provides an electronic device, including: A processor; A memory for storing instructions executable by the processor; The processor is configured to execute the above-mentioned manganese ore prospecting method by running the instructions in the memory.

[0015] Compared with the prior art, the beneficial effects of the electronic device provided by the present invention are the same as those of the manganese ore prospecting method described in the above technical solution, and will not be elaborated here.

[0016] The present invention also provides a computer storage medium, in which instructions are stored, and when the instructions are run, the above-mentioned manganese ore prospecting method is implemented.

[0017] Compared with the prior art, the beneficial effects of the computer storage medium provided by the present invention are the same as those of the manganese ore prospecting method described in the above technical solution, and will not be elaborated here. Description of the Drawings

[0018] The drawings described herein are used to provide a further understanding of the present invention, and constitute a part of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention, and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 It is a flowchart of the manganese ore prospecting method provided by an embodiment of the present application; Figure 2 It is a reduced pole anomaly map of the jet center region provided by an embodiment of the present application; Figure 3 It is an isogram and an image map of resistivity distribution information provided by an embodiment of the present application; Figure 4Structural diagram of the manganese ore prospecting device provided by the embodiment of the present application; Figure 5 Schematic structural diagram of an electronic device provided by the embodiment of the present application. Specific implementation manners

[0019] For the convenience of clearly describing the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, terms such as "first" and "second" are used to distinguish identical items or similar items with basically the same functions and effects. For example, the first threshold and the second threshold are only used to distinguish different thresholds, and do not limit their sequence. Those skilled in the art can understand that terms such as "first" and "second" do not limit the quantity and execution order, and terms such as "first" and "second" do not necessarily mean different.

[0020] It should be noted that in the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the present invention should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, using words such as "exemplary" or "for example" aims to present relevant concepts in a specific manner.

[0021] In the present invention, "at least one" means one or more, and "a plurality" means two or more. "And / or" describes the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone, where A and B can be singular or plural. The character " / " generally represents that the associated objects before and after are in an "or" relationship. "At least one (item)" or its similar expression means any combination of these items, including any combination of single item (item) or plural items (items). For example, at least one (item) of a, b or c can represent: a, b, c, the combination of a and b, the combination of a and c, the combination of b and c, or the combination of a, b and c, where a, b and c can be single or multiple.

[0022] As an important mineral resource widely used in the industrial, agricultural and new energy fields, the development and utilization technology of manganese ore is of great significance to economic development. However, with the gradual depletion of shallow manganese ore resources, it is urgent to carry out the exploration of deep ore bodies.

[0023] Therefore, the present application provides a manganese ore prospecting method, device, equipment and medium, which will be described in detail one by one in the following embodiments.

[0024] The present application first provides a manganese ore prospecting method. Please refer to Figure 1 , Figure 1Flowchart of the manganese ore prospecting method provided by the embodiments of this application.

[0025] As Figure 1 shown, the manganese ore prospecting method includes the following S101 to S106: S101, Determine the jet center area of the target area according to the gravity data of the target area and the aeromagnetic data after reduction to the pole anomaly processing.

[0026] The target area can be understood as a prospective ore area or a key metallogenic area obtained by preliminary identification of the study area. In the actual application process, the exploration of deep and concealed ore bodies of manganese ore resources in China focuses on the Nanpanjiang Basin. In this context, the study area can be understood as the area corresponding to the Nanpanjiang Basin.

[0027] Furthermore, in order to determine the target area in the Nanpanjiang Basin, thereby narrowing the scope of the ore prospecting area and improving the accuracy of manganese ore exploration, the target area can be obtained by combining existing geological, geophysical, geochemical, and remote sensing data, remote sensing data, etc. of the study area. Specifically, the target area can be determined through the following S1 to S4: S1, Obtain the high-resolution and hyperspectral remote sensing image of the study area.

[0028] S2, Extract the alteration information from the high-resolution and hyperspectral remote sensing image to determine the alteration mineral information of the study area.

[0029] S3, Interpret the line-loop structure and fold structure of the high-resolution and hyperspectral remote sensing image to determine the remote sensing geological interpretation map of the study area.

[0030] S4, Combine the remote sensing geological interpretation map, the alteration mineral information, and the manganese ore data information of the study area to determine the target area in the study area.

[0031] Among them, the high-resolution and hyperspectral remote sensing image can be understood as the high-resolution and hyperspectral remote sensing image of the study area. In the actual application process, the high-resolution and hyperspectral remote sensing image can be extracted based on the public data sources of satellites, such as: data of visible light, near-infrared, short-wave infrared, and thermal infrared bands provided by Aster series satellites, high-resolution satellite data provided by ZY1-02D satellite, etc.

[0032] In the actual application process, for the alteration of the high-resolution and hyperspectral remote sensing image, the process of extracting the alteration information from the high-resolution and hyperspectral remote sensing image can be realized based on the band analysis of the high-resolution and hyperspectral remote sensing image.

[0033] First, considering that rocks or minerals usually exhibit different color changes due to the presence of iron elements, and in manganese deposits, iron usually exists in the form of iron oxide or iron hydroxide. Therefore, the iron staining characteristics of the high-resolution and hyperspectral remote sensing images can be regarded as a type of altered mineral information.

[0034] Furthermore, during the formation of manganese mineralization, hydrothermal fluids usually play a role. Hydrothermal fluids can concentrate manganese elements dispersed in the surrounding rock and then precipitate them through chemical reactions to form ores. Hydroxyl groups can carry dissolved metal ions or other compounds and precipitate these metal ions or compounds under appropriate conditions to form ores. Therefore, the hydroxyl information of the high-resolution and hyperspectral remote sensing images can be regarded as a type of altered mineral information.

[0035] Furthermore, the phenomenon of an increase in the content of silicon dioxide (SiO2) in rocks is usually accompanied by changes in other minerals. Silicification is a common type of hydrothermal alteration, which can enhance the hardness of rocks and change their physical properties. In manganese-bearing rock series, silicification is particularly prominent. Therefore, the silicification characteristics of the high-resolution and hyperspectral remote sensing images can be regarded as a type of altered mineral information.

[0036] Furthermore, the process of an increase in carbonate minerals (such as calcite, dolomite, etc.) in rocks is another common hydrothermal alteration phenomenon. In manganese deposits, carbonatization is often closely related to the occurrence of manganese mineralization. Therefore, the carbonatization alteration information in the high-resolution and hyperspectral remote sensing images can be regarded as a type of altered mineral information.

[0037] A remote sensing geological interpretation map is used to represent the geological characteristics of the surface and a certain depth range underground. In the actual application process, the scale of the remote sensing geological interpretation map can be set according to actual needs. For example, the scale of the remote sensing geological interpretation map can be 1:10000. Based on the ancient rift and paleogeological background of the study area, the remote sensing geological interpretation map can be obtained by interpreting the linear structures and fold structures of the high-resolution and hyperspectral remote sensing images.

[0038] For example: By identifying the changes in the line-loop characteristics of the high-resolution and hyperspectral remote sensing images and combining with the terrain undulation, the fault positions in the study area can be identified. By using the circular or elliptical geomorphic features in the high-resolution and hyperspectral remote sensing images, the areas suspected of being volcanic craters, meteorite craters or other geological structures can be determined, and then the interpretation of the line-loop characteristics can be completed; By identifying the main axis direction of the folds in the high-resolution and hyperspectral remote sensing images, judging whether it is an anticline or a syncline, evaluating the inclination angles of the two wings of the fold, and interpreting the formation mechanism of the fold, etc., the interpretation of the fold structure can be completed.

[0039] Further, after obtaining the remote sensing geological interpretation map and the altered mineral information, on this basis, the existing geological, geophysical, geochemical and remote sensing data of the study area can be further combined to preliminarily identify the prospective ore exploration areas or key metallogenic areas where manganese ore may exist in the study area, and the prospective ore exploration areas or key metallogenic areas are used as the target areas.

[0040] Further, in order to further determine the jet center area in the target area and thus narrow down the manganese ore exploration scope, the above S101 includes the following S5 to S8: S5, perform reduction to the pole anomaly processing on the aeromagnetic data of the target area to obtain the aeromagnetic data after reduction to the pole anomaly.

[0041] S6, perform comprehensive processing of upward continuation and vertical second derivative on the gravity data and the aeromagnetic data after reduction to the pole anomaly of the target area to determine the deep anomaly information and boundary anomaly information of the target area.

[0042] S7, determine the regional rift graben and rock mass distribution characteristics of the target area according to the deep anomaly information and the boundary anomaly information.

[0043] S8, combine the regional rift graben and rock mass distribution characteristics to determine the jet center area of the target area.

[0044] The purpose of reduction to the pole anomaly processing is to eliminate the influence of the magnetic dip angle change caused by different observation point positions on the result of magnetic anomaly measurement, so that the aeromagnetic data after reduction to the pole anomaly can more accurately reflect the true magnetic distribution of underground rocks.

[0045] Upward continuation is a filtering technique used to reduce the influence of shallow geological bodies, highlight the magnetic anomaly characteristics of deep geological bodies, and help identify deep structures.

[0046] The vertical second derivative is used to enhance the edge effect in magnetic anomalies and help accurately locate the boundaries of geological bodies or fault positions.

[0047] Further, please refer to Figure 2 , Figure 2 which is the reduction to the pole anomaly map of the jet center area provided by the embodiment of the present application.

[0048] As Figure 2 shown, Figure 2 it shows the distribution information of the aeromagnetic data (i.e., aeromagnetic anomaly values) after reduction to the pole anomaly processing in the Nanpanjiang Basin area (i.e., the target area). Among them, the aeromagnetic data after reduction to the pole anomaly processing is used to reflect the true magnetic permeability effect of underground geological bodies, and then, by combining the aeromagnetic data and gravity data after reduction to the pole anomaly, the rifts and grabens in the Nanpanjiang Basin area are speculated (such as Figure 2The area corresponding to the dashed line in the middle) and the area surrounded by the rift and graben is determined as the jet center area (i.e., TCPL1, TCPL2, TCPL3).

[0049] S102. Conduct chemical test analysis on the manganese ore samples in the jet center area to determine the manganese ore characteristics of the jet center area.

[0050] In the embodiment of the present application, conducting manganese ore test analysis on the manganese ore samples in the jet center area can be understood as analyzing the reasons for the formation of the manganese ore samples in the jet center area, including: analyzing the ore deposit characteristics, lithofacies and mineral facies characteristics, element test analysis, isotope test analysis, metallogenic geological age analysis, metallogenic control factor analysis, etc. of the ore deposit corresponding to the manganese ore samples.

[0051] Among them, ore deposit characteristics analysis refers to analyzing the morphology, rules, mineral combination information, etc. of the ore deposit corresponding to the manganese ore samples.

[0052] Lithofacies and mineral facies characteristics analysis refers to analyzing the physical characteristics, structure and texture, etc. of the manganese ore samples, in order to determine the geological environment and formation conditions of the manganese ore samples, as well as to determine the growth sequence and crystallization habit, etc. during the mineralization process of the manganese ore samples.

[0053] Element test analysis refers to the test analysis of the main and trace elements of the manganese ore samples to determine the main components and other trace elements in the manganese ore samples. In the actual application process, the element test analysis of the manganese ore samples can be realized based on technologies such as X-ray fluorescence spectroscopy and inductively coupled plasma mass spectrometry.

[0054] Isotope test analysis refers to C / O isotope test analysis to reconstruct the circulation history of the ore-forming fluid and its interaction with the surrounding rock. In the actual application process, the isotope test analysis can be realized by measuring with a stable isotope mass spectrometer.

[0055] Metallogenic geological age analysis can be realized by radioactive isotope dating methods; for example: measuring the radioactive decay products in the manganese ore samples using systems such as uranium-lead (U-Pb), rubidium-strontium (Rb-Sr), samarium-neodymium (Sm-Nd), potassium-argon (K-Ar), etc.

[0056] Metallogenic control factor analysis is used to determine the influence of the tectonic background (such as geological structures such as faults and folds), magmatic activities, fluid activities, paleoclimate conditions, etc. of the manganese ore samples on the formation of the manganese ore.

[0057] S103. Conduct special geological mapping of the Falan Formation manganese ore in the jet center area to determine the geological section information of the first section in the jet center area.

[0058] Specifically, the purpose of conducting special geological mapping of the manganese ore of the Falang Formation in the jet center area is to determine the geological profile information of a certain profile in the jet center area through special geological mapping of the jet center area, and then, in subsequent steps, based on the geological profile information and combined with the manganese ore characteristics obtained in the above S102, predict the location where manganese ore is most likely to exist in this geological profile.

[0059] Specifically, the above S103 includes: According to the geological structure and paleogeographic characteristics of the jet center area, select the manganese ore-bearing layer of the Falang Formation in the Triassic as the geological mapping unit, conduct special geological mapping of the Falang Formation in the jet center area to obtain the profile structure of the first profile in the jet center area; identify the manganese ore-bearing layer of the Falang Formation in the profile structure of the first profile to determine the geological profile information of the first profile in the jet center area.

[0060] S104. Combine the manganese ore characteristics and the geological profile information to determine the prospecting prediction area of the first profile.

[0061] Specifically, the geological profile information of the jet center area is similar to the characteristics affecting the mineralization of manganese ore samples in the above S102. By analyzing the geological mapping unit used for geological mapping of the Falang Formation, determine the relevant information of the geological profile, including the deposit characteristics, lithofacies and ore facies characteristics, major and trace element characteristics, isotope characteristics, metallogenic geological age, metallogenic control factors, etc. of the geological mapping unit, and then, combined with the geological profile information and the manganese ore characteristics, further determine the prospecting prediction area in this profile.

[0062] Specifically, the above S104 includes: Conduct distribution analysis of the manganese ore-bearing layer of the Falang Formation on the manganese ore characteristics and the geological profile information to determine the prospecting prediction area of the first profile.

[0063] That is, according to the geological profile information and the manganese ore characteristics, analyze the underground extension of the manganese ore-bearing layer of the Falang Formation at the geographical location corresponding to the first profile, and then determine the prospecting prediction area of the first profile.

[0064] S105. Combine the known borehole data of the prospecting prediction area to invert the manganese ore-bearing layer of the Falang Formation in the jet center area to determine the three-dimensional model of the manganese ore-bearing layer of the Falang Formation in the jet center area; wherein, the three-dimensional model includes the predicted manganese ore data at each geographical location in the jet center area, and the predicted manganese ore data includes the predicted depth of the manganese ore-bearing layer of the Falang Formation and the predicted manganese ore storage.

[0065] After obtaining the prospecting prediction area, the known drilling data of the prospecting prediction area can be combined to invert the manganese ore-bearing strata of the Falang Formation in the jet center area, complete the prediction of the manganese ore data in the jet center area, and then obtain the predicted depth of the manganese ore-bearing strata of the Falang Formation and the predicted manganese ore reserves at each geographical location in the jet center.

[0066] In the embodiment of the present application, the step of inverting the manganese ore-bearing strata of the Falang Formation in the jet center area can be implemented based on machine learning or by using pre-edited program codes. The present application does not limit this.

[0067] To facilitate the understanding of the above inversion of the manganese ore-bearing strata of the Falang Formation, the following introduces this step in combination with the method of machine learning.

[0068] In the process of specific application, the inversion of the manganese ore-bearing strata of the Falang Formation can be realized through a pre-trained prediction model.

[0069] Among them, the training samples of the prediction model are the known drilling data, and the known drilling data includes the sample geographical location of the drilling hole, the formation depth of the manganese ore-bearing strata of the Falang Formation at the sample geographical location, and the sample manganese ore reserves.

[0070] It can be understood that in order to realize the training of the prediction model, the sample data used must be a large amount. These large amounts of sample data not only include adjacent drilling data, but also include drilling data with a certain spatial distance. In the process of training the prediction model with these large amounts of known drilling data, the prediction model can not only initially learn the relationship between the spatial positions of the manganese ore-bearing strata of the Falang Formation at different geographical locations in the formation, but also invert the relationship between the manganese ore contents in the manganese ore-bearing strata of the Falang Formation at different spatial positions.

[0071] After training the prediction model with the above-known drilling data, the prediction model predicts the formation depth and manganese ore reserves of the manganese ore-bearing strata of the Falang Formation at each geographical location in the jet center area based on the formation depth and manganese ore reserves of the manganese ore-bearing strata of the Falang Formation at each geographical location in the prospecting prediction area included in the known drilling data, and then obtains the predicted manganese ore data in S105 above.

[0072] S106, based on the three-dimensional model, perform audio magnetotelluric sounding on the jet center area, optimize the predicted manganese ore data at each geographical location in the jet center area, and determine the information of the manganese ore-bearing strata of the Falang Formation in the jet center area.

[0073] Further, during the research on underground manganese ore, technicians are more concerned about the distribution and strike of the manganese-bearing strata in the Falang Formation. Although the predicted manganese ore data included in the three-dimensional model of the manganese-bearing ore layer in the Falang Formation in the above S105 can reflect the distribution and strike of the manganese-bearing strata in the Falang Formation to a certain extent, it can be understood that the predicted manganese ore data obtained by inversion has certain uncertainties and deviations, and the information on the manganese-bearing ore layer in the Falang Formation obtained only relying on the predicted manganese ore data will also have corresponding uncertainties and deviations. In view of this, in order to further improve the accuracy of the distribution and strike of the manganese-bearing strata in the Falang Formation, the above S106 includes: Adopt the audio magnetotelluric sounding method to determine the underground resistivity distribution of multiple second profiles in the jet center area; combine the underground resistivity distribution of multiple second profiles in the jet center area, and perform forward modeling on the predicted manganese ore data corresponding to multiple second profiles in the three-dimensional model to determine the information on the manganese-bearing ore layer in the Falang Formation in the jet center area.

[0074] That is, first, through the audio magnetotelluric sounding method, obtain the underground resistivity distribution of multiple second profiles in the jet center area. Among them, the higher the underground resistivity, the more likely it is that the manganese-bearing ore layer in the Falang Formation exists in this area.

[0075] In the actual application process, the underground resistivity collected by the audio magnetotelluric sounding method can be preprocessed, such as removing outliers, optimizing the format, and calculating the elevation difference, to improve the accuracy of the underground resistivity. Then, further combine the nonlinear conjugate gradient method to perform multiple inversions on the underground resistivity of this second profile, establish the underground resistivity distribution of this second profile, and then splice the underground resistivity of each second profile to obtain the underground resistivity distribution of the jet center area.

[0076] After obtaining the underground resistivity distribution of the jet center area, it is possible to further combine the underground resistivity distribution of the jet center area to optimize the positions in the three-dimensional model where there is obviously no manganese ore, and then determine the optimized information on the manganese-bearing ore layer in the Falang Formation in the jet center area, that is, determine the depth and manganese ore storage capacity of the optimized manganese-bearing ore layer in the Falang Formation at each geographical location in the jet center area.

[0077] Please refer to Figure 3 , Figure 3 which is the contour map and image map of the underground resistivity distribution of the second profile provided by the embodiment of the present application.

[0078] As Figure 3 shown, Figure 3 it includes: Figure 3 The horizontal axis of [] is the geographical location of the second profile, and the vertical axis is the formation depth of the second profile.

[0079] In summary, the manganese ore prospecting method provided by the embodiments of the present application completes the screening of the jet center area in the target area through the aeromagnetic data and gravity data of the target area, and on the basis of the special geological mapping of the Franc group manganese ore in the jet center area, combines the geological profile information obtained from the geological mapping and the manganese ore characteristics of the manganese ore samples to determine the prospecting prediction area, achieving the preliminary locking of manganese ore resources; and on this basis, combines the known borehole data of the prospecting prediction area to invert and predict the depth and manganese ore storage capacity of the manganese ore-bearing layers of the Franc group in different geographical locations in the jet center area, obtains the predicted manganese ore data, and optimizes the predicted manganese ore data by combining the audio magnetotelluric detection technology, realizing the precise exploration of the depth and manganese ore storage capacity of the manganese ore-bearing layers of the Franc group in the jet center area.

[0080] The embodiments of the present application also provide a manganese ore prospecting device. Please refer to Figure 4 , Figure 4 which is the structural diagram of the manganese ore prospecting device provided by the embodiments of the present application.

[0081] As Figure 4 shown, the manganese ore prospecting device includes: A jet center determination unit 401, configured to determine the jet center area of the target area according to the gravity data of the target area and the aeromagnetic data after reduction to the pole anomaly processing.

[0082] A chemical test analysis unit 402, configured to perform chemical test analysis on the manganese ore samples in the jet center area to determine the manganese ore characteristics of the jet center area.

[0083] A special geological mapping unit 403, configured to perform special geological mapping of the Franc group manganese ore in the jet center area to determine the geological profile information of the first profile in the jet center area.

[0084] A prediction area determination unit 404, configured to determine the prospecting prediction area of the first profile by combining the manganese ore characteristics and the geological profile information.

[0085] A three-dimensional model determination unit 405, configured to invert the manganese ore-bearing layers of the Franc group in the jet center area by combining the known borehole data of the prospecting prediction area to determine the three-dimensional model of the manganese ore-bearing layers of the Franc group in the jet center area; wherein, the three-dimensional model includes the predicted manganese ore data at each geographical location in the jet center area, and the predicted manganese ore data includes the predicted depth of the manganese ore-bearing layers of the Franc group and the predicted manganese ore storage capacity.

[0086] A manganese ore information determination unit 406, configured to perform audio magnetotelluric sounding on the jet center area based on the three-dimensional model, optimize the predicted manganese ore data at each geographical location in the jet center area, and determine the information of the manganese ore-bearing layers of the Franc group in the jet center area.

[0087] In an alternative embodiment of the present application, the device is further configured to: Obtain a high-resolution and hyperspectral remote sensing image of the study area; Extract alteration information from the high-resolution and hyperspectral remote sensing image to determine the alteration mineral information of the study area; Interpret the line-ring structure and fold structure of the high-resolution and hyperspectral remote sensing image to determine the remote sensing geological interpretation map of the study area; Combine the remote sensing geological interpretation map, the alteration mineral information, and the known manganese ore data information of the study area to determine the target area of the study area.

[0088] In an alternative embodiment of the present application, the determining the jet center area of the target area based on the gravity data of the target area and the aeromagnetic data after reduction to the pole anomaly processing includes: Perform reduction to the pole anomaly processing on the aeromagnetic data of the target area to obtain the aeromagnetic data after reduction to the pole anomaly; Perform comprehensive upward continuation and vertical second derivative processing on the gravity data of the target area and the aeromagnetic data after reduction to the pole anomaly to determine the deep anomaly information and boundary anomaly information of the target area; Determine the regional rift graben and rock mass distribution characteristics of the target area based on the deep anomaly information and the boundary anomaly information; Combine the regional rift graben and rock mass distribution characteristics to determine the jet center area of the target area.

[0089] In an alternative embodiment of the present application, the performing special geological mapping of the manganese ore of the Falang Formation in the jet center area to determine the geological profile information of the first profile in the jet center area includes: According to the geological structure and paleogeographic characteristics of the jet center area, select the manganese ore-bearing layer of the Falang Formation in the Triassic as the geological mapping unit, and perform special geological mapping of the Falang Formation on the jet center area to obtain the profile structure of the first profile in the jet center area; Identify the manganese ore-bearing layer of the Falang Formation in the profile structure of the first profile to determine the geological profile information of the first profile in the jet center area.

[0090] In an alternative embodiment of the present application, the combining the manganese ore characteristics and the geological profile information to determine the ore prospecting prediction area of the first profile includes: Perform distribution analysis of the manganese ore-bearing layer of the Falang Formation on the manganese ore characteristics and the geological profile information to determine the ore prospecting prediction area of the first profile.

[0091] In an alternative embodiment of the present application, the inversion of the manganese ore-bearing layer of the Falang Formation in the jet center region by combining the known borehole data of the prospecting prediction region to determine the three-dimensional model of the manganese ore-bearing layer of the Falang Formation in the jet center region includes: Input the known borehole data of the prospecting prediction region into the inversion model of the manganese ore-bearing layer of the Falang Formation, so that the inversion model of the manganese ore-bearing layer of the Falang Formation predicts the manganese ore data at each geographical location in the jet center region based on the known borehole data, and determines the predicted manganese ore data at each geographical location in the jet center region; Based on the predicted manganese ore data at each geographical location in the jet center region, determine the three-dimensional model of the manganese ore-bearing layer of the Falang Formation in the jet center region.

[0092] In an alternative embodiment of the present application, the optimization of the predicted manganese ore data at each geographical location in the jet center region by performing audio magnetotelluric sounding on the jet center region based on the three-dimensional model to determine the information of the manganese ore-bearing layer of the Falang Formation in the jet center region includes: Adopt the audio geodetection method to determine the underground resistivity distribution of multiple second profiles in the jet center region; Combine the underground resistivity distribution of multiple second profiles in the jet center region to invert the predicted manganese ore data corresponding to the multiple second profiles in the three-dimensional model, and determine the information of the manganese ore-bearing layer of the Falang Formation in the jet center region.

[0093] The above device embodiment provided in this embodiment and the method embodiment of the present application belong to the same inventive concept, can execute the manganese ore prospecting method provided in any of the above embodiments of the present application, and have the corresponding functional modules and beneficial effects for executing the manganese ore prospecting method. For the technical details not described in detail in this embodiment, reference may be made to the specific processing content of the manganese ore prospecting method provided in the above embodiments of the present application, which will not be elaborated here.

[0094] It should be understood that the units in the above device can be implemented in the form of a processor calling software. For example, the device includes a processor, the processor is connected to a memory, instructions are stored in the memory, and the processor calls the instructions stored in the memory to implement any of the above methods or the functions of each unit of the device. The processor can be a general-purpose processor, such as a CPU or a microprocessor, etc., and the memory can be a memory inside the device or a memory outside the device. Alternatively, the units in the device can be implemented in the form of hardware circuits. By designing the hardware circuits, the functions of some or all of the units can be implemented. The hardware circuits can be understood as one or more processors. For example, in one implementation, the hardware circuit is an ASIC, and by designing the logical relationships of the components in the circuit, the functions of some or all of the above units are implemented. Again, for example, in another implementation, the hardware circuit can be implemented by a PLD. Taking an FPGA as an example, it can include a large number of logic gate circuits, and the connection relationships between the logic gate circuits are configured through a configuration file, so as to implement the functions of some or all of the above units. All the units of the above device can be all implemented in the form of a processor calling software, or all implemented in the form of hardware circuits, or some implemented in the form of a processor calling software, and the remaining part implemented in the form of hardware circuits.

[0095] In the embodiments of the present application, a processor is a circuit with the ability to process signals. In one implementation, the processor can be a circuit with the ability to read and execute instructions, such as a CPU, a microprocessor, a GPU, or a DSP, etc. In another implementation, the processor can implement certain functions through the logical relationships of hardware circuits, and the logical relationships of the hardware circuits are fixed or can be reconfigured. For example, the processor is a hardware circuit implemented by an ASIC or a PLD, such as an FPGA, etc. In a reconfigurable hardware circuit, the process of the processor loading a configuration document to implement the configuration of the hardware circuit can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as a type of ASIC, such as an NPU, a TPU, a DPU, etc.

[0096] It can be seen that each unit in the above device can be one or more processors (or processing circuits) configured to implement the above methods, such as: a CPU, a GPU, an NPU, a TPU, a DPU, a microprocessor, a DSP, an ASIC, an FPGA, or a combination of at least two of these processor forms.

[0097] In addition, each unit in the above device can be integrated in whole or in part, or can be implemented independently. In one implementation, these units are integrated together and implemented in the form of an SOC. The SOC may include at least one processor for implementing any of the above methods or implementing the functions of each unit of the device. The types of the at least one processor can be different, for example, including a CPU and an FPGA, a CPU and an artificial intelligence processor, a CPU and a GPU, etc.

[0098] This application embodiment also provides an electronic device, such as Figure 5 shown Figure 5 is a schematic structural diagram of an electronic device provided by this application embodiment.

[0099] such as Figure 5 shown, the electronic device includes: A processor 210.

[0100] A memory 200 for storing executable instructions of the processor 210.

[0101] The processor 210 is configured to execute the manganese ore prospecting method disclosed in any of the above embodiments by running the instructions in the memory 200.

[0102] The processor 210, the memory 200, the communication interface 220, the input device 230, and the output device 240 are interconnected via a bus. Among them: The bus may include a path for transmitting information between various components of the computer system.

[0103] The processor 210 can be a general-purpose processor, such as a general-purpose central processing unit (CPU), a microprocessor, etc., or an application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of the program of the present invention solution. It can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0104] The processor 210 may include a main processor, and may also include a baseband chip, a modem, etc.

[0105] The program for implementing the technical solution of the present invention is stored in the memory 200, and the operating system and other key services can also be stored. Specifically, the program may include program code, and the program code includes computer operation instructions. More specifically, the memory 200 may include a read-only memory (ROM), other types of static storage devices that can store static information and instructions, a random access memory (RAM), other types of dynamic storage devices that can store information and instructions, a disk memory, a flash memory, and so on.

[0106] The input device 230 may include devices for receiving data and information input by a user, such as a keyboard, a mouse, a camera, a scanner, a touch screen, etc.

[0107] The output device 240 may include devices for allowing information to be output to a user, such as a display screen, a printer, a speaker, etc.

[0108] The communication interface 220 may include devices of any transceiver type for communicating with other devices or communication networks, such as Ethernet, a radio access network (RAN), a wireless local area network (WLAN), etc.

[0109] The processor 210 executes the program stored in the memory 200 and calls other devices, and can be used to implement each step of any of the manganese ore prospecting methods provided in the above embodiments of the present application.

[0110] In addition to the above methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions. When the computer program instructions are run by a processor, the processor executes the steps in the manganese ore prospecting methods of various embodiments of the present application.

[0111] The computer program product can be written in any combination of one or more programming languages for the program code to perform the operations of the embodiments of the present application. The programming languages include object-oriented programming languages, such as Java, C++, etc., and also include conventional procedural programming languages, such as the "C" language or similar programming languages. The program code can be executed completely on a user computing device, partially on a user device, executed as an independent software package, partially on a user computing device and partially on a remote computing device, or executed completely on a remote computing device or server.

[0112] In addition, an embodiment of the present application may also be a storage medium, on which a computer program is stored, and the computer program is executed by a processor for the steps in the manganese ore prospecting methods of various embodiments of the present application.

[0113] For the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0114] It should be noted that the embodiments in this specification are all described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. For the similarities and common parts among the embodiments, reference can be made to each other. For the device embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and reference can be made to the corresponding parts of the method embodiments for the relevant content.

[0115] The steps in the methods of the embodiments of this application can be adjusted, combined, and deleted according to actual needs. The technical features recorded in each embodiment can be replaced or combined.

[0116] The modules and sub-modules in the devices and terminals in the embodiments of this application can be combined, divided, and deleted according to actual needs.

[0117] In several embodiments provided by this application, it should be understood that the disclosed terminals, devices, and methods can be implemented in other ways. For example, the terminal embodiments described above are only illustrative. For example, the division of modules or sub-modules is only a logical function division. In actual implementation, there can be other division methods. For example, multiple sub-modules or modules can be combined or integrated into another module, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of devices or modules can be in electrical, mechanical, or other forms.

[0118] The modules or sub-modules described as separate components may or may not be physically separated. The components as modules or sub-modules may or may not be physical modules or sub-modules, that is, they can be located in one place, or distributed to multiple network modules or sub-modules. Some or all of the modules or sub-modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0119] In addition, in each embodiment of the present application, each functional module or sub-module can be integrated into a processing module, or each module or sub-module can exist physically alone, or two or more modules or sub-modules can be integrated into one module. The above-mentioned integrated module or sub-module can be implemented in the form of hardware or in the form of a software functional module or sub-module.

[0120] Those skilled in the art can further realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described according to functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Skilled professionals can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0121] The steps of the method or algorithm described in combination with the embodiments disclosed herein can be directly implemented by hardware, a software unit executed by a processor, or a combination of the two. The software unit can be placed in a random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, register, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the technical field.

[0122] Finally, it should also be noted that in this document, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising one..." does not exclude the existence of another identical element in the process, method, article or device including the said element.

[0123] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for prospecting manganese ore, characterized in that: include: Determine the jet center area of ​​the target area based on the gravity data of the target area and the aeromagnetic data after polarization anomaly processing; Conducting chemical testing and analysis on manganese ore samples in the central area of ​​the jet to determine the characteristics of manganese ore in the central area of ​​the jet; Carry out special geological mapping of the Franc Group manganese ore in the jet center area to determine the geological profile information of the first section in the jet center area; Determine the prospecting prediction area of ​​the first section by combining the characteristics of the manganese ore and the geological profile information; Inverting the manganese-bearing ore layer of the Franc Group in the jet center area in combination with the known drilling data in the prospecting prediction area to determine a three-dimensional model of the manganese-bearing ore layer of the Franc Group in the jet center area; wherein the three-dimensional model includes predicted manganese ore data of each geographical location in the jet center area, and the predicted manganese ore data includes the predicted depth of the manganese-bearing ore layer of the Franc Group and the predicted storage volume of manganese ore; Based on the three-dimensional model, audio magnetotelluric sounding is carried out in the central area of ​​the jet, and the predicted manganese ore data of each geographical location in the central area of ​​the jet is optimized to determine the manganese ore layer information of the Franc Formation in the central area of ​​the jet.

2. The method for prospecting manganese ore according to claim 1, characterized in that: Also includes: Obtain high-resolution and hyperspectral remote sensing images of the study area; Extracting alteration information from the high-resolution-hyperspectral remote sensing image to determine the altered mineral information of the study area; Interpret the line-loop structure and fold structure of the high-resolution-hyperspectral remote sensing image to determine the remote sensing geological interpretation map of the study area; The target area of ​​the study area is determined by combining the remote sensing geological interpretation map, the altered mineral information and the known manganese ore data information of the study area.

3. The method for prospecting manganese ore according to claim 1, characterized in that: Determining the jet center area of ​​the target area based on the gravity data of the target area and the aeromagnetic data after the polarization anomaly processing includes: Performing polarization anomaly processing on the aeromagnetic data of the target area to obtain aeromagnetic data after polarization anomaly processing; Performing upward extension and vertical second-order derivative comprehensive processing on the gravity data of the target area and the aeromagnetic data after polarization anomaly, to determine the deep anomaly information and boundary anomaly information of the target area; Determining the regional rift graben and rock mass distribution characteristics of the target area according to the deep anomaly information and the boundary anomaly information; The jet center area of ​​the target area is determined based on the regional rift graben and rock mass distribution characteristics.

4. The method for prospecting manganese ore according to claim 1, characterized in that: The method of performing special geological mapping of the Franc Group manganese ore in the jet center area to determine the geological profile information of the first section of the jet center area includes: According to the geological structure and paleogeographic characteristics of the jet center area, the manganese-bearing ore layer of the Triassic Franc Formation is selected as a geological mapping unit, and a special geological mapping of the Franc Formation is carried out on the jet center area to obtain the cross-sectional structure of the first cross-section of the jet center area; The cross-sectional structure of the first cross-section is used to identify the manganese-bearing ore layer of the Franc Group, and the geological cross-sectional information of the first cross-section in the central area of ​​the jet is determined.

5. The method for prospecting manganese ore according to claim 1, characterized in that: The step of combining the manganese ore characteristics with the geological profile information to determine the prospecting prediction area of ​​the first profile includes: The manganese ore characteristics and the geological profile information are analyzed for the distribution of the manganese ore-bearing layers of the Franc Group to determine the prospecting prediction area of ​​the first profile.

6. The method for prospecting manganese ore according to claim 1, characterized in that: The inversion of the manganese-bearing ore layer of the Franc Formation in the central area of ​​the jet flow in combination with the known drilling data in the prospecting prediction area to determine the three-dimensional model of the manganese-bearing ore layer of the Franc Formation in the central area of ​​the jet flow comprises: Inputting the known drilling data of the prospecting prediction area into the inversion model of the manganese-bearing ore layer of the Franc Group, so that the inversion model of the manganese-bearing ore layer of the Franc Group predicts the manganese ore data of each geographical location in the jet center area based on the known drilling data, and determines the predicted manganese ore data of each geographical location in the jet center area; Based on the predicted manganese ore data of each geographical location in the jet center area, a three-dimensional model of the manganese ore-bearing layer of the Franc Formation in the jet center area is determined.

7. The method for prospecting manganese ore according to claim 1, characterized in that: The method of performing audio magnetotelluric sounding on the central area of ​​the jet stream based on the three-dimensional model, optimizing the predicted manganese ore data of each geographical location in the central area of ​​the jet stream, and determining the manganese ore layer information of the Franc Formation in the central area of ​​the jet stream includes: Using an audio frequency earth detection method, determining the underground resistivity distribution of a plurality of second profiles in the jet center region; Combined with the underground resistivity distribution of multiple second sections in the jet center area, the predicted manganese ore data corresponding to the multiple second sections in the three-dimensional model are inverted to determine the manganese ore layer information of the Franc Group in the jet center area.

8. A manganese ore prospecting device, characterized in that: include: A jet center determination unit, used for determining the jet center area of ​​the target area according to the gravity data of the target area and the aeromagnetic data after the polarization anomaly processing; A chemical testing and analysis unit, used to perform chemical testing and analysis on a manganese ore sample in the central area of ​​the jet flow to determine the characteristics of the manganese ore in the central area of ​​the jet flow; A special geological mapping unit is used to carry out special geological mapping of the Franc Group manganese ore in the jet center area to determine the geological profile information of the first section of the jet center area; A prediction area determination unit, used to determine the prospecting prediction area of ​​the first section in combination with the manganese ore characteristics and the geological profile information; A three-dimensional model determination unit, used for inverting the manganese-bearing ore layer of the Franc Group in the jet center area in combination with the known drilling data of the prospecting prediction area, and determining the three-dimensional model of the manganese-bearing ore layer of the Franc Group in the jet center area; wherein the three-dimensional model includes the predicted manganese ore data of each geographical location in the jet center area, and the predicted manganese ore data includes the predicted depth of the manganese-bearing ore layer of the Franc Group and the predicted storage volume of manganese ore; A manganese ore information determination unit is used to perform audio magnetotelluric sounding on the jet center area based on the three-dimensional model, optimize the predicted manganese ore data of each geographical location in the jet center area, and determine the manganese ore layer information of the Franc Group in the jet center area.

9. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is used to execute the manganese ore prospecting method described in any one of claims 1 to 7 by running instructions in the memory.

10. A computer storage medium, characterized in that: The computer storage medium stores instructions, and when the instructions are executed, the manganese ore prospecting method described in any one of claims 1 to 7 is implemented.

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