A prospecting system suitable for shallow cover areas
By combining geophysical and shallow drilling geochemical data in the shallow cover area prospecting system, and employing multi-source data fusion and machine learning models, the problems of difficult anomaly identification, inaccurate positioning, and low efficiency in shallow cover area prospecting have been solved, achieving accurate positioning and efficient prospecting.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XINJIANG UYGUR AUTONOMOUS REGION GEOLOGY RESEARCH INSTITUTE
- Filing Date
- 2026-04-07
- Publication Date
- 2026-06-09
Smart Images
Figure CN122172314A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of mineral exploration technology, and in particular to a mineral exploration system suitable for shallowly covered areas. Background Technology
[0002] Shallow overburden areas typically refer to regions where ore bodies or mineralization clues are covered by a relatively thin layer (generally from a few meters to tens of meters, usually not exceeding 200 meters) of unconsolidated or semi-consolidated sediments (such as alluvial deposits, diluvial deposits, aeolian deposits, and colluvial deposits). These overburden layers constitute a serious barrier to surface geological observation and traditional direct prospecting methods, burying direct prospecting indicators such as mineralized outcrops and alteration zones, greatly increasing the difficulty of discovering concealed mineral deposits.
[0003] Currently, the commonly used mineral exploration technologies in the industry are divided into four categories: geophysical exploration, geochemical exploration, remote sensing, and drilling. All of them have obvious limitations: geophysical exploration is affected by the physical properties of the overburden, making anomaly identification difficult and resulting in multiple solutions; geochemical exploration is easily affected by groundwater and vegetation, leading to anomaly distortion; remote sensing can only assist in delineating distant areas and cannot accurately locate them; drilling is inefficient, highly unpredictable, and has not formed a collaborative system.
[0004] Therefore, developing an effective mineral exploration technology system applicable to shallow-covered areas is a key step in expanding mineral exploration space and achieving breakthroughs in mineral exploration. Summary of the Invention
[0005] The purpose of this invention is to provide a mineral exploration system suitable for shallowly covered areas to solve the problems mentioned in the background art.
[0006] To achieve the above objectives, the present invention provides a mineral exploration system suitable for shallow-covered areas, including a mineralized prospect area selection module, an initial target area delineation module, a target area screening module, and a target area verification module; The metallogenic prospect selection module is used to analyze the acquired geological data of shallow overburden areas and select metallogenic prospect areas. The initial target area delineation module delineates the initial mineral exploration target area based on the selected mineralized prospective areas and by combining geophysical exploration data. The target area screening module narrows down the initial prospecting target area based on geophysical exploration data, shallow drilling geochemical data, and field analysis data. The target area verification module verifies the prospecting target areas obtained by the target area screening module, reveals the target geological bodies, and estimates the overall resource volume of the ore bodies.
[0007] Preferably, the prospective mineralization area selection module includes a geological data preprocessing unit, a mineralization condition analysis unit, and a prospective area selection unit; The geological data preprocessing unit processes the acquired geological data of shallow overburden areas, removes outlier data, and standardizes the geological data format. The mineralization condition analysis unit, based on preprocessed geological data, extracts mineralization characteristics according to ore-controlling structural conditions, concealed rock mass conditions, anomalous element conditions, and overburden ore-controlling conditions. Among them, overburden ore-controlling conditions include the material composition, overburden thickness, and scale of shallow overburden areas, and mineralization characteristics include ore-bearing rocks, ore-controlling structures, and mineralization alteration. The prospective mineralization area selection unit is based on the mineralization characteristics and preliminary selection of shallowly covered mineralization prospective areas in the shallowly covered areas surrounding known mineralization areas.
[0008] Preferably, the initial target area delineation module includes a geophysical data acquisition unit, a geophysical data collaborative initialization unit, and an initial target area delineation unit; The geophysical data acquisition unit, targeting shallow-covered areas with low resistivity shielding, acquires exploration data in shallow-covered areas through magnetic surveying, induced polarization profiling, induced polarization sounding, well-to-ground charging, and audio-frequency magnetotelluric sounding methods. The geophysical data collaborative initial unit processes the detection data, performs multi-source geophysical data fusion and inversion on the processed data, and the processing includes detection data denoising, outlier removal and detection data correction; The initial target area delineation unit is based on the fused geophysical anomaly data and combined with the mineralization characteristics of the prospective mineralization area. The initial target area is delineated in planar range using a machine learning model based on the boundary of the mineralization anomaly. The vertical range of the target area is determined based on the top and bottom boundaries of the anomaly body in the inverted data.
[0009] Preferably, the geophysical data acquisition unit includes a magnetic acquisition subunit, an induced polarization profile acquisition subunit, an induced polarization sounding acquisition subunit, a well-to-ground charging method acquisition subunit, and an audio-frequency magnetotelluric sounding acquisition subunit. The magnetic acquisition subunit uses a high-precision magnetometer to conduct 1:10,000 ground magnetic surveys and complete multi-depth upward extension calculations to obtain the dip characteristics data of the ore body within 500 meters of the shallow overburden area. The induced polarization profile acquisition subunit acquires 1:10,000 apparent polarization data of the mining area based on ground power supply mode and shallow well power supply mode, and extracts features of apparent resistivity and maximum value in apparent polarization data to obtain apparent polarization profile feature data of shallow cover area. The induced polarization sounding acquisition subunit uses an induced polarization sounding scale device to acquire induced polarization sounding data and extracts features from the induced polarization sounding data to obtain the location feature data of the mineralization alteration zone shallower than 300m in the shallow overburden area. The well-to-ground charging method acquisition subunit sets up a power supply point in the existing shallow drill in the prospective mineralization area. Polarizability data is collected by power supply excitation at the location of the alteration zone in the well and surface reception. The polarizability data is then used to extract features and obtain polarizability anomaly zoning feature data. The audio magnetotelluric sounding acquisition subunit uses a magnetotelluric instrument to collect electric flux density data based on historical induced polarization sounding profiles, and extracts features from the electric flux density data to obtain anomaly data in the mining area.
[0010] Preferably, the target area screening module includes a shallow drilling geochemical exploration data acquisition unit, a field data analysis unit, and a screening unit; The shallow drilling geochemical data acquisition unit identifies the core samples collected during shallow drilling geochemical exploration and obtains core identification data, including elemental analysis data, lithology, weight, and alteration data. The field data analysis unit uses a fluorescence analyzer to collect chemical data from core samples obtained from shallow-drill geochemical exploration. The screening unit combines geophysical exploration data, core identification data, and field analytical chemistry data to screen the initial prospecting target area and narrow down the scope of the initial prospecting target area.
[0011] Preferably, the screening unit includes a data fusion subunit and an orebody boundary inference subunit; The data fusion subunit uses a weighted fusion method to fuse core identification elemental analysis data and field analytical chemistry data. At the same time, the fused data is correlated with lithological and alteration data. The orebody boundary inference sub-unit uses ordinary kriging interpolation, based on fused chemical characteristics, alteration data, and lithological data, and constrained by ore-controlling structural lines and rock body boundaries, to generate elemental grade contour maps. The lower limit of chemical characteristics is used as the boundary to delineate the planar range of the orebody. Based on shallow drilling depth data and combined with geophysical anomaly data, the top and bottom boundaries of the orebody are determined, and the vertical thickness of the orebody is clarified. The initial prospecting target area is screened according to the planar range and vertical thickness to obtain the final prospecting target area.
[0012] Preferably, the target area verification module includes a target area verification unit and a mineral resource estimation unit; The target area verification unit performs in-depth verification of the mineral exploration target areas obtained by the target area screening module, revealing the target geological bodies. The mineral resource estimation unit estimates the overall resource quantity of the ore body based on the target geological body and drilling results.
[0013] Preferably, the overall resource volume of the ore body is estimated using the geological block method.
[0014] Therefore, the present invention employs the above-mentioned prospecting system suitable for shallow-covered areas, which improves the reliability and efficiency of prospecting by effectively integrating multi-source data.
[0015] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description
[0016] Figure 1 This is a system framework diagram of an embodiment of the present invention; Figure 2 This is a contour map of the high-precision magnetic field measurement ΔT polarization of an embodiment of the present invention; Figure 3 This is a plan view of the apparent polarization contour lines of the induced polarization profile according to an embodiment of the present invention. Figure 4 This is a plan view of the apparent resistivity contour lines of the induced polarization profile according to an embodiment of the present invention. Figure 5 This is a diagram showing the northward power supply result according to an embodiment of the present invention; Figure 6 This is a diagram showing the westward power supply result of an embodiment of the present invention; Figure 7 This is a diagram showing the eastward power supply result according to an embodiment of the present invention. Detailed Implementation
[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can be arranged and designed in various different configurations, and therefore should not be construed as limiting the present invention.
[0018] Example like Figure 1 As shown, the present invention provides a mineral exploration system suitable for shallow-covered areas, including a mineralized prospect area selection module, an initial target area delineation module, a target area screening module, and a target area verification module.
[0019] The mineralization prospect selection module is used to analyze the acquired geological data of shallow overburden areas and select mineralization prospect areas.
[0020] In this embodiment, the prospective mineralization area selection module includes a geological data preprocessing unit, a mineralization condition analysis unit, and a prospective area selection unit.
[0021] The geological data preprocessing unit processes the acquired geological data of shallow-covered areas, removes abnormal data, and standardizes the geological data format.
[0022] The mineralization condition analysis unit, based on preprocessed geological data, extracts mineralization characteristics according to ore-controlling structural conditions, concealed rock mass conditions, anomalous element conditions, and overburden ore-controlling conditions. Among them, overburden ore-controlling conditions include the material composition, overburden thickness, and scale of shallow overburden areas, and mineralization characteristics include ore-bearing rocks, ore-controlling structures, and mineralization alteration.
[0023] The prospective mineralization area selection unit is based on the mineralization characteristics and preliminary selection of shallowly covered mineralization prospective areas in the shallowly covered areas surrounding known mineralization areas.
[0024] The initial target area delineation module delineates the initial mineral exploration target area based on the selected mineralized prospective areas and geophysical exploration data.
[0025] In this embodiment, the initial target area delineation module includes a geophysical data acquisition unit, a geophysical data collaborative initialization unit, and an initial target area delineation unit.
[0026] The geophysical data acquisition unit, targeting shallowly covered areas with low resistivity shielding, collects exploration data in shallowly covered areas through magnetic surveying, induced polarization profiling, induced polarization sounding, well-to-ground charging, and audio-frequency magnetotelluric sounding methods.
[0027] The geophysical data collaborative initial unit processes the probe data, performs multi-source geophysical data fusion and inversion on the processed data, and the processing includes probe data denoising, outlier removal and probe data correction.
[0028] The initial target area delineation unit is based on the fused geophysical anomaly data and combined with the mineralization characteristics of the prospective mineralization area. The initial target area is delineated in planar range using a machine learning model based on the boundary of the mineralization anomaly. The vertical range of the target area is determined based on the top and bottom boundaries of the anomaly body in the inverted data.
[0029] The geophysical data acquisition unit includes a magnetic data acquisition subunit, an induced polarization profiling acquisition subunit, an induced polarization sounding acquisition subunit, a well-to-ground charging data acquisition subunit, and an audio-frequency magnetotelluric sounding acquisition subunit. The functions of each subunit are as follows: The magnetic acquisition subunit uses a high-precision magnetometer to conduct 1:10,000 ground magnetic surveys and complete multi-depth upward extension calculations to obtain the dip characteristics data of the ore body within 500 meters of the shallow overburden area.
[0030] The induced polarization profile acquisition subunit acquires 1:10,000 apparent polarization data of the mining area based on ground power supply mode and shallow well power supply mode, and extracts features of apparent resistivity and maximum value in apparent polarization data to obtain apparent polarization profile feature data of shallow cover area.
[0031] The induced polarization sounding acquisition subunit uses an induced polarization sounding scale device to acquire induced polarization sounding data and extracts features from the induced polarization sounding data to obtain the location feature data of the mineralized alteration zone shallower than 300m in the shallow overburden area.
[0032] The well-to-ground charging method acquisition subunit sets up a power supply point in the existing shallow drill in the prospective mineralization area. Polarizability data is collected by power supply excitation at the location of the alteration zone in the well and surface reception. Feature extraction is performed on the polarizability data to obtain polarizability anomaly zoning characteristic data.
[0033] The audio magnetotelluric sounding acquisition subunit uses a magnetotelluric instrument to collect electric flux density data based on historical induced polarization sounding profiles, and extracts features from the electric flux density data to obtain anomaly data in the mining area.
[0034] The target area screening module narrows down the initial prospecting target area based on geophysical exploration data, shallow drilling geochemical data, and field analysis data.
[0035] In this embodiment, the target area screening module includes a shallow drilling geochemical data acquisition unit, a field data analysis unit, and a screening unit.
[0036] The shallow drilling geochemical data acquisition unit identifies the core samples collected during shallow drilling geochemical exploration and obtains core identification data, including elemental analysis data, lithology, weight, and alteration data.
[0037] The field data analysis unit uses a fluorescence analyzer to collect chemical data from core samples obtained during shallow-drill geochemical exploration.
[0038] The screening unit combines geophysical exploration data, core identification data, and field analytical chemistry data to screen the initial prospecting target area and narrow down the scope of the initial prospecting target area.
[0039] The screening unit includes a data fusion subunit and an ore body boundary inference subunit; The data fusion subunit uses a weighted fusion method to fuse core identification elemental analysis data and field analytical chemistry data. At the same time, the fused data is correlated with lithological and alteration data.
[0040] The orebody boundary inference sub-unit uses ordinary kriging interpolation, based on fused chemical characteristics, alteration data, and lithological data, and constrained by ore-controlling structural lines and rock body boundaries, to generate elemental grade contour maps. The lower limit of chemical characteristics is used as the boundary to delineate the planar range of the orebody. Based on shallow drilling depth data and combined with geophysical anomaly data, the top and bottom boundaries of the orebody are determined, and the vertical thickness of the orebody is clarified. The initial prospecting target area is screened according to the planar range and vertical thickness to obtain the final prospecting target area.
[0041] The target area verification module verifies the prospecting target areas obtained by the target area screening module, reveals the target geological bodies, and estimates the overall resource volume of the ore bodies.
[0042] In this embodiment, the target area verification module includes a target area verification unit and a mineral resource estimation unit.
[0043] The target area verification unit performs in-depth verification of the prospecting target areas obtained from the target area screening module, revealing the target geological bodies.
[0044] The mineral resource estimation unit estimates the overall resource quantity of the ore body based on the target geological body and borehole results, using the geological block method.
[0045] The geophysical exploration in the shallowly covered area of the Dure area will be used as an example for illustration.
[0046] The Dure area is a typical shallowly overburdened zone on the northern edge of the Junggar Basin. No bedrock outcrops have been found within the mining area, which includes the Karaoyi-Yuyitas gold-copper deposit. Characteristic extraction from geological data of the Karaoyi-Yuyitas gold-copper deposit area revealed that high-grade copper-gold orebodies are found to be multi-layered, vein-like structures penetrating the interior of a diorite body. Therefore, this diorite body is an important ore-bearing rock body in the mining area. Based on the extracted characteristics, a preliminary mineralization prospective area has been selected in the vicinity of the Karaoyi-Yuyitas gold-copper deposit area.
[0047] For the initially selected shallow-cover mineralization prospective areas, geophysical data is collected through the geophysical data acquisition unit, and the prospecting target area is initially delineated based on the geophysical data.
[0048] The magnetic data acquisition subunit employs a high-precision magnetometer with a working grid of 100×40 to conduct 1:10,000 scale ground magnetic surveys and completes multi-depth upward extrapolation calculations to acquire dip characteristic data of the ore body within 500 meters of the shallow overburden area. For example... Figure 2 As shown, the two groups of high magnetic anomaly neutral diorite plutons, C25-01 and C25-02, which trend northwest, are closely related.
[0049] The induced polarization (IP) profile acquisition subunit conducts IPI profile measurements in the eastern part of the mining area to acquire apparent polarization data, such as... Figure 3 As shown in the planar map of apparent polarizability contour lines, the apparent polarizability anomaly in the shallowly covered area has a relatively low overall amplitude and a distinct northwest-trending characteristic, which is basically consistent with the corresponding geological structure direction. It generally exhibits a pattern of lower values in the northwest and higher values in the southeast. The apparent polarizability values in the northwest covered area are 0.06-0.7%, while those in the southeast bedrock area are between 0.8% and 1.9%. Figure 4 As shown, the corresponding apparent resistivity characteristics are generally stable, showing a clear northwest-southwest trend, consistent with the apparent polarizability characteristics, exhibiting a pattern of lower values in the northwest and higher values in the southeast. The apparent resistivity values in the northwest covered area range from 70 Ω•m to 450 Ω•m, while those in the southeast bedrock area range from 450 Ω•m to 1200 Ω•m. By extracting features from the apparent resistivity and maxima in the apparent polarization data, the high polarization anomaly (M1 > 1.5%) is delineated and inferred to be closely related to copper-gold mineralization in the diorite body. The surface low polarizability (η ≥ 1.5%), medium to high resistivity (500–1000 Ω•m), and deep induced polarization sounding high polarization anomalies are the combined result of the copper-gold mineralization.
[0050] The induced polarization (IP) sounding acquisition subunit uses an IPI scale device to obtain the location of mineralized alteration zones shallower than 300m in shallow overburden areas. The initial ABmax distance is set to 1200m, the initial power of the transmitting power source is set to 20kW, and the current is set to 6-10A to minimize the impact of low-resistivity shielding. As the thickness of the shallow overburden increases, or the influence of the overburden material on the geophysical data increases, the ABmax distance and the transmitting power source power are increased.
[0051] Four induced polarization sounding profiles were established, from east to west: CS08 (overburden 10-20m), CS00 (overburden 20-30m), CS31 (overburden 40-50m), and CS47 (overburden 50-60m). Regarding apparent polarizability, all values were <1%, and the apparent polarizability changed from "vertical stripes" to "sparse and scattered" from east to west. Regarding apparent resistivity, the high-resistivity top interface gradually deepened from east to west.
[0052] The well-to-ground charging method acquisition subunit uses high-power induced polarization equipment to carry out well-to-ground charging. The acquisition parameters are: working grid density 160×40, power supply point depth 475m, and three infinite poles in the north, south and east directions.
[0053] like Figure 5 , Figure 6 and Figure 7 As shown, by employing a method of power supply excitation at the location of the alteration zone in the well and surface reception, polarizability anomaly zonation characteristic data were obtained. The anomaly zone extends in a northwest direction, with an extension of more than 1.5 km and a width of 100-200 m, and its range is highly consistent with the historical borehole verification results. Among them, in the data results of the north- and south-direction power supply, the northwest-trending high polarizability anomaly zone is located north of the high magnetic anomaly zone, with an apparent polarizability range of 6-11%.
[0054] The audio magnetotelluric sounding acquisition subunit uses the Aether magnetotelluric instrument to supplement measurements southward along the induced polarization profile, further reflecting the distribution range of the mineralized altered rock mass. The depth measurement is 30 meters, and the measurement point spacing is 40 meters.
[0055] Based on the geological characteristics and metallogenic regularity of the Karaoyi copper-gold deposit, and through feature extraction from geophysical exploration results, it is believed that "weak polarizability (>0.8%) + high surface magnetic anomaly (ΔT>400nT) + high resistivity" are important prospecting indicators of ore-bearing concealed rock masses in the area. Based on the analysis of these characteristics, the northwest-trending extension zone of the mining area is delineated.
[0056] The target area screening module further narrows down the prospecting target area.
[0057] A total of 141 shallow drill holes were conducted, with 55 holes reaching diorite formations, proving that the ore-bearing rocks (diorite) associated with the Yuyitas copper-gold deposit are widely distributed beneath the shallow overburden in this area. Geochemical characteristics show that Au content ranges from 0.79 to 431 × 10⁻⁶. -9 The average is 13.78 × 10 -9 Cu content ranges from 8.5 to 1148 × 10⁻⁶. -6 The average is 86.72×10 -6 Gold mineralization was observed in 15 of the well sites, with Au contents ranging from 100 to 431 × 10⁻⁶. -9 The highest value was found in shallow borehole QZ31-5, with Au: 431 × 10⁻⁶. -9 Cu: 1148×10 -6 Shallow drilling revealed that the lithology of the gold mineralization was mainly diorite, quartz diorite, and granodiorite, with pyrite appearing in granular or veinlet forms in some areas. The shallow drilling revealed that the gold mineralization was generally distributed within concealed diorite and granodiorite, trending northwest.
[0058] The overburden is mainly composed of Quaternary aeolian sand, sand, and gravel. Shallow drilling reveals lithologies including tuff, sandstone, granite, granodiorite, and diorite. Due to tectonic activity, some rocks exhibit well-developed fissures, along which sericitization and carbonatization have occurred. Pitting and veinlet pyrite are visible within some parts of the diorite.
[0059] Using Au ≥ 0.8 g / t and Cu ≥ 0.2% as boundary grades, the planar extent of the ore bodies was delineated. Based on shallow drilling depth data and combined with geophysical anomaly data, the vertical thickness was delineated. A total of 6 gold ore bodies were delineated, with lengths ranging from 160 to 480 meters and controlled depths of 80 to 220 meters, with an average Au grade of 2.18 g / t; 12 copper ore bodies were delineated, with lengths ranging from 160 to 800 meters and controlled depths of 80 meters, with an average Cu grade of 0.31%; and 6 gold-copper ore bodies were delineated, with a length of 160 meters and a controlled depth of 80 meters. The average Au grade was 1.46 g / t, and the average Cu grade was 0.77%.
[0060] Finally, the overall resource volume of the ore body was verified and estimated using the target area verification module. The estimated reserves are 787,900 tons of gold ore, containing 1830.95 kg of metal, with an average gold grade of 2.02 g / t; and 905,900 tons of copper ore, containing 4107.24 tons of copper metal, with an average copper grade of 0.39%.
[0061] Therefore, the present invention employs the above-mentioned prospecting system suitable for shallow-covered areas, which improves the reliability and efficiency of prospecting by effectively integrating multi-source data.
[0062] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of the present invention, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.
Claims
1. A mineral exploration system suitable for shallowly covered areas, characterized in that: It includes a mineralization prospect area selection module, an initial target area delineation module, a target area screening module, and a target area verification module; The metallogenic prospect selection module is used to analyze the acquired geological data of shallow overburden areas and select metallogenic prospect areas. The initial target area delineation module delineates the initial mineral exploration target area based on the selected mineralized prospective areas and by combining geophysical exploration data. The target area screening module narrows down the initial prospecting target area based on geophysical exploration data, shallow drilling geochemical data, and field analysis data. The target area verification module verifies the prospecting target areas obtained by the target area screening module, reveals the target geological bodies, and estimates the overall resource volume of the ore bodies.
2. A mineral exploration system suitable for shallowly covered areas according to claim 1, characterized in that: The metallogenic prospect selection module includes a geological data preprocessing unit, a metallogenic condition analysis unit, and a prospect selection unit. The geological data preprocessing unit processes the acquired geological data of shallow overburden areas, removes outlier data, and standardizes the geological data format. The mineralization condition analysis unit, based on preprocessed geological data, extracts mineralization characteristics according to ore-controlling structural conditions, concealed rock mass conditions, anomalous element conditions, and overburden ore-controlling conditions. Among them, overburden ore-controlling conditions include the material composition, overburden thickness, and scale of shallow overburden areas, and mineralization characteristics include ore-bearing rocks, ore-controlling structures, and mineralization alteration. The prospective mineralization area selection unit is based on the mineralization characteristics and preliminary selection of shallowly covered mineralization prospective areas in the shallowly covered areas surrounding known mineralization areas.
3. A mineral exploration system suitable for shallowly covered areas according to claim 1, characterized in that: The initial target delineation module includes a geophysical data acquisition unit, a geophysical data collaborative initialization unit, and an initial target delineation unit; The geophysical data acquisition unit, targeting shallow-covered areas with low resistivity shielding, acquires exploration data in shallow-covered areas through magnetic surveying, induced polarization profiling, induced polarization sounding, well-to-ground charging, and audio-frequency magnetotelluric sounding methods. The geophysical data collaborative initial unit processes the detection data, performs multi-source geophysical data fusion and inversion on the processed data, and the processing includes detection data denoising, outlier removal and detection data correction; The initial target area delineation unit is based on the fused geophysical anomaly data and combined with the mineralization characteristics of the prospective mineralization area. The initial target area is delineated in planar range using a machine learning model based on the boundary of the mineralization anomaly. The vertical range of the target area is determined based on the top and bottom boundaries of the anomaly body in the inverted data.
4. A mineral exploration system suitable for shallowly covered areas according to claim 3, characterized in that: The geophysical data acquisition unit includes a magnetic acquisition subunit, an induced polarization profiling acquisition subunit, an induced polarization sounding acquisition subunit, a well-to-ground charging method acquisition subunit, and an audio-frequency magnetotelluric sounding acquisition subunit. The magnetic acquisition subunit uses a high-precision magnetometer to conduct 1:10,000 ground magnetic surveys and complete multi-depth upward extension calculations to obtain the dip characteristics data of the ore body within 500 meters of the shallow overburden area. The induced polarization profile acquisition subunit acquires 1:10,000 apparent polarization data of the mining area based on ground power supply mode and shallow well power supply mode, and extracts features of apparent resistivity and maximum value in apparent polarization data to obtain apparent polarization profile feature data of shallow cover area. The induced polarization sounding acquisition subunit uses an induced polarization sounding scale device to acquire induced polarization sounding data and extracts features from the induced polarization sounding data to obtain the location feature data of the mineralization alteration zone shallower than 300m in the shallow overburden area. The well-to-ground charging method acquisition subunit sets up a power supply point in the existing shallow drill in the prospective mineralization area. Polarizability data is collected by power supply excitation at the location of the alteration zone in the well and surface reception. The polarizability data is then used to extract features and obtain polarizability anomaly zoning feature data. The audio magnetotelluric sounding acquisition subunit uses a magnetotelluric instrument to collect electric flux density data based on historical induced polarization sounding profiles, and extracts features from the electric flux density data to obtain anomaly data in the mining area.
5. A mineral exploration system suitable for shallowly covered areas according to claim 4, characterized in that: The target area screening module includes a shallow drilling geochemical exploration data acquisition unit, a field data analysis unit, and a screening unit; The shallow drilling geochemical data acquisition unit identifies the core samples collected during shallow drilling geochemical exploration and obtains core identification data, including elemental analysis data, lithology, weight, and alteration data. The field data analysis unit uses a fluorescence analyzer to collect chemical data from core samples obtained from shallow-drill geochemical exploration. The screening unit combines geophysical exploration data, core identification data, and field analytical chemistry data to screen the initial prospecting target area and narrow down the scope of the initial prospecting target area.
6. A mineral exploration system suitable for shallowly covered areas according to claim 5, characterized in that: The screening unit includes a data fusion subunit and an orebody boundary inference subunit; The data fusion subunit uses a weighted fusion method to fuse core identification elemental analysis data and field analytical chemistry data. At the same time, the fused data is correlated with lithological and alteration data. The orebody boundary inference sub-unit uses ordinary kriging interpolation, based on fused chemical characteristics, alteration data, and lithological data, and constrained by ore-controlling structural lines and rock body boundaries, to generate elemental grade contour maps. The lower limit of chemical characteristics is used as the boundary to delineate the planar range of the orebody. Based on shallow drilling depth data and combined with geophysical anomaly data, the top and bottom boundaries of the orebody are determined, and the vertical thickness of the orebody is clarified. The initial prospecting target area is screened according to the planar range and vertical thickness to obtain the final prospecting target area.
7. A mineral exploration system suitable for shallowly covered areas according to claim 1, characterized in that: The target area verification module includes a target area verification unit and a mineral resource estimation unit; The target area verification unit performs in-depth verification of the mineral exploration target areas obtained by the target area screening module, revealing the target geological bodies. The mineral resource estimation unit estimates the overall resource quantity of the ore body based on the target geological body and drilling results.
8. A mineral exploration system suitable for shallowly covered areas according to claim 7, characterized in that: The overall resource volume of the ore body is estimated using the geological block method.