Mineral exploration method, device and equipment based on mineralization potential

Abstract

Embodiments of the present application provide a mineral exploration method, device and equipment based on metallogenic potential. The method is applied to the field of mineral exploration, and comprises: extracting feature information of a plurality of zircon samples in a target area, and determining whether the feature information of the plurality of zircon samples satisfies at least two items of target conditions; the feature information comprises at least two of the following: trace element content, abnormal value of a target element, or oxygen fugacity; if it is determined that at least two items of the target conditions are satisfied, it is determined that the metallogenic potential of the target area is greater than or equal to a preset level, and the target area is subjected to mineral exploration; the target conditions comprise at least two of the following: the discrete degree of the trace element content is greater than or equal to a preset degree; the change range of the abnormal value of the target element is greater than or equal to a preset range; the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is greater than or equal to a preset number. The method can improve the preparedness and efficiency of mineral exploration.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of mineral exploration, and particularly relates to a mineral exploration method, device and equipment based on mineralization potential. BACKGROUND

[0002] Zircon has stable physical and chemical properties, and is widely distributed in various rocks in the form of a by-product, containing a large amount of information such as crystallization age, temperature, oxygen fugacity, magma source region and magma evolution process. With the development of mineral exploration technology and the research progress of zircon trace element theory, the use of zircon trace elements to solve geological and mineralization problems has become an important technical means in earth science research, and a large amount of achievements have been made in mineralization research.

[0003] At present, with the overexploitation of surface and shallow ore bodies, it is more and more difficult to find ore, therefore, how to use zircon to efficiently explore underground mineral resources is an urgent problem to be solved by those skilled in the art. SUMMARY

[0004] The present application provides a mineral exploration method, device and equipment based on mineralization potential, which improves the efficiency and accuracy of mineral exploration.

[0005] In a first aspect, the present application provides a mineral exploration method based on mineralization potential, comprising:

[0006] obtaining a plurality of zircon samples in a target area;

[0007] extracting feature information of the plurality of zircon samples, and determining whether the feature information of the plurality of zircon samples meets at least two of target conditions; wherein the feature information includes at least two of the following: trace element content, abnormal value of target element or oxygen fugacity;

[0008] if it is determined that at least two of the target conditions are met, it is determined that the mineralization potential of the target area is greater than or equal to a preset level, and the target area is explored for mineral resources;

[0009] wherein the target conditions include at least two of the following:

[0010] the dispersion degree of the trace element content is greater than or equal to a preset degree;

[0011] the change range of the abnormal value of the target element is greater than or equal to a preset range;

[0012] the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is greater than or equal to a preset number;

[0013] wherein the trace element content includes the content of at least one of light rare earth elements, rare earth elements and heavy rare earth elements.

[0014] In a possible implementation, the target condition further includes:

[0015] The ratio of the isotopic content is greater than or equal to a first preset value;

[0016] The determining whether the characteristic information of the plurality of zircon samples meets at least two of the target conditions includes:

[0017] The determining whether the characteristic information of the plurality of zircon samples meets at least two of the target conditions and the determining whether the ratio of the isotopic content is greater than or equal to a first preset value;

[0018] If it is determined that at least two of the target conditions are met, it is determined that the ore-forming potential of the target region is greater than or equal to a preset level, and mineral exploration is performed on the target region, including:

[0019] If it is determined that at least two of the target conditions are met and the ratio of the isotopic content is greater than or equal to a first preset value, it is determined that the ore-forming potential of the target region is greater than or equal to a preset level, and mineral exploration is performed on the target region.

[0020] In a possible implementation, the determining whether the characteristic information of the plurality of zircon samples meets at least two of the target conditions includes:

[0021] In a case where the content of the trace element includes the content of heavy rare earth elements, if the dispersion degree of the content of the heavy rare earth elements is greater than or equal to a preset degree, it is determined that the target condition that the dispersion degree of the content of the trace element is greater than or equal to a preset degree is met.

[0022] In a possible implementation, the determining whether the characteristic information of the plurality of zircon samples meets at least two of the target conditions includes:

[0023] The standard deviation of the variation range of the content of the trace element is calculated.

[0024] If the standard deviation is greater than or equal to a second preset value, it is determined that the dispersion degree of the content of the trace element is greater than or equal to a preset degree.

[0025] In a possible implementation, the abnormal value of the target element includes: a cerium abnormal value; and / or,

[0026] The determining whether the characteristic information of the plurality of zircon samples meets at least two of the target conditions includes:

[0027] If the change range of the cerium anomaly value and the europium anomaly value of the zircon sample is greater than or equal to the preset range as the temperature decreases, it is determined that the change range of the anomaly value of the target element in the target condition is greater than or equal to the preset range.

[0028] In a possible implementation, the determining whether the characteristic information of the plurality of zircon samples satisfies at least two of the target conditions comprises:

[0029] For any zircon sample, the oxygen fugacity of the zircon sample is determined according to the cerium anomaly value and the zircon crystallization temperature in the zircon sample.

[0030] According to the oxygen fugacities of the plurality of zircon samples, it is determined whether the number of zircon samples with an oxygen fugacity greater than or equal to a preset threshold is greater than or equal to a preset number.

[0031] In a possible implementation, the determining the oxygen fugacity of the zircon sample according to the cerium anomaly value and the zircon crystallization temperature in the zircon sample comprises:

[0032] The oxygen fugacity of the zircon sample is determined according to the following formula (1):

[0033] Ln(Ce / Ce*) D = (0.1156±0.0050)*Ln(fO2) + (13860±708) / T - (6.125±0.484);

[0034] wherein (Ce / Ce*) D represents the cerium anomaly value in the zircon sample, fO2 represents the oxygen fugacity, and T represents the zircon crystallization temperature.

[0035] The T is determined according to formula (2).

[0036] T = (4800±86) / ((5.711±0.072)-lg(Ti))-273.15;

[0037] wherein Ti represents the content of the titanium element.

[0038] In a possible implementation, the method further comprises:

[0039] age characteristics are extracted from the plurality of zircon samples, and the mineral age of the target region is determined according to the extracted age characteristics.

[0040] The mineral exploration of the target region comprises:

[0041] The mineral exploration of the target region is performed according to the mineral age of the target region.

[0042] In a second aspect, the embodiments of the present application provide a mineral exploration device based on mineralization potential, comprising:

[0043] an acquisition module configured to acquire a plurality of zircon samples in a target area;

[0044] a processing module configured to extract feature information of the plurality of zircon samples and determine whether the feature information of the plurality of zircon samples satisfies at least two of target conditions; wherein the feature information comprises at least two of trace element content, abnormal value of target element, or oxygen fugacity;

[0045] If it is determined that at least two of the target conditions are satisfied, it is determined that the mineralization potential of the target area is greater than or equal to a preset level, and the target area is subjected to mineral exploration;

[0046] wherein the target conditions comprise at least two of:

[0047] the dispersion degree of the trace element content is greater than or equal to a preset degree;

[0048] the change range of the abnormal value of the target element is greater than or equal to a preset range;

[0049] the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is greater than or equal to a preset number;

[0050] wherein the trace element content comprises content of at least one of light rare earth elements, rare earth elements, and heavy rare earth elements.

[0051] In a third aspect, the embodiments of the present application provide an electronic device, comprising a memory and a processor.

[0052] The memory stores computer execution instructions.

[0053] The processor executes the computer execution instructions stored in the memory, so that the processor executes the first aspect and / or various possible implementation manners of the first aspect.

[0054] In a fourth aspect, the embodiments of the present application provide a computer readable storage medium, which stores computer execution instructions, and the computer execution instructions are executed by a processor to implement the first aspect and / or various possible implementation manners of the first aspect.

[0055] In a fifth aspect, the embodiments of the present application provide a computer program product, comprising a computer program, which is executed by a processor to implement the first aspect and / or various possible implementation manners of the first aspect.

[0056] The mineral exploration method, device and equipment based on mineralization potential provided by the embodiment of the present application, obtain a plurality of zircon samples in a target area; extract feature information of the plurality of zircon samples, and determine whether the feature information of the plurality of zircon samples meets at least two items in a target condition; wherein the feature information includes at least two of the following: trace element content, abnormal value of a target element or oxygen fugacity; if it is determined that at least two items in the target condition are met, it is determined that the mineralization potential of the target area is greater than or equal to a preset level, and the target area is subjected to mineral exploration; wherein the target condition includes at least two of the following: the discrete degree of the trace element content is greater than or equal to a preset degree; the change range of the abnormal value of the target element is greater than or equal to a preset range; the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is greater than or equal to a preset number; wherein the trace element content includes the content of at least one of light rare earth elements, rare earth elements and heavy rare earth elements. Based on the performance of the feature information of the zircon samples, that is, whether the target condition is met, the mineralization potential of the target area is determined, the determination result is more accurate, and the efficiency of mineral exploration is higher, thereby avoiding unnecessary waste of manpower and material resources, and the cost is lower. BRIEF DESCRIPTION OF DRAWINGS

[0057] The accompanying drawings, which are incorporated into and form a part of the specification, illustrate preferred embodiments of the present application and, together with the description, serve to explain the principles of the application.

[0058] Figure 1 Flowchart of the mineral exploration method based on mineralization potential provided by the present application Figure One ;

[0059] Figure 2 Flowchart of the mineral exploration method based on mineralization potential provided by the present application Figure Two ;

[0060] Figure 3 Structure diagram of the mineral exploration device based on mineralization potential provided by the present application;

[0061] Figure 4 Structure diagram of the electronic device provided by the present application.

[0062] Through the above drawings, the specific embodiments of the present application have been shown, and will be described in more detail hereinafter. These drawings and written descriptions are not intended to limit the scope of the concept of the present application by any means, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0063] The exemplary embodiments will be described in detail herein with reference to the attached drawings. The following description is made with reference to the accompanying drawings in which like reference numerals represent like elements or similar elements, unless otherwise indicated. The following exemplary embodiments described herein represent implementations consistent with the present application. The following description sets forth various embodiments of the present application in terms of exemplary methods for implementing the concepts of the present application. These exemplary methods are described with reference to the attached figures.

[0064] Firstly, the terms involved in the present application are explained:

[0065] Cerium anomaly value (δCe) is an index used to evaluate the degree of Ce anomaly in rare earth element geochemistry.

[0066] Europium anomaly value (δEu) is an index used to evaluate the degree of Eu anomaly in rare earth element geochemistry.

[0067] The mineral exploration method based on mineralization potential provided by the present application has high accuracy and high efficiency in determining the mineralization potential by extracting feature information of multiple zircon samples and determining whether the feature information of the multiple zircon samples meets at least two of the target conditions. If it is determined that at least two of the target conditions are met, it is determined that the mineralization potential of the target area is greater than or equal to a preset level, and the target area is subjected to mineral exploration.

[0068] The technical solutions of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of the present application will be described below with reference to the accompanying drawings.

[0069] Figure 1 Flowchart of the mineral exploration method based on mineralization potential provided by the present application Figure One The method of the present embodiment comprises:

[0070] S101, obtaining multiple zircon samples in a target area.

[0071] Specifically, first, zircon samples are collected, for example, zircon samples from different locations are collected. Through analysis of the zircon samples, the mineralization potential of the target area is determined.

[0072] Optionally, the zircon samples are collected from a drill core, and the lithology is diorite, mainly including plagioclase, potassium feldspar, biotite, hornblende, quartz, etc., for example, the SiO2 content is 53% to 62%.

[0073] S102, extract feature information of the plurality of zircon samples, and determine whether the feature information of the plurality of zircon samples satisfies at least two of the target conditions; wherein the feature information comprises at least two of the following: trace element content, abnormal value of a target element, or oxygen fugacity;

[0074] Specifically, the feature information of each zircon sample is extracted, such as the trace element content of the zircon sample, the abnormal value of the target element, and the oxygen fugacity.

[0075] Because the feature information of the zircon samples in the target regions with different mineralization potentials is different, the mineralization potential of the target region where the zircon sample is located can be determined based on the different feature information.

[0076] It is determined whether each feature information satisfies the corresponding requirement in the target condition, such as whether the dispersion degree of the trace element content is greater than or equal to a preset degree, whether the change range of the abnormal value of the target element is greater than or equal to a preset range, and whether the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is greater than or equal to a preset number.

[0077] Optionally, the target element can include cerium and / or europium.

[0078] S103, if it is determined that at least two of the target conditions are satisfied, it is determined that the mineralization potential of the target region is greater than or equal to a preset level, and mineral exploration is performed on the target region.

[0079] Specifically, based on the determination result of S102, if it is determined that at least two of the target conditions are satisfied, it is determined that the mineralization potential of the target region is high, such as greater than or equal to a preset level, and mineral exploration is performed on the target region.

[0080] Optionally, if at least two of the target conditions are satisfied, it indicates that the mineralization potential of the target region is relatively good, such as the level of the mineralization potential is relatively high, greater than or equal to a preset level.

[0081] Optionally, if all of the target conditions are satisfied, it indicates that the mineralization potential of the target region is relatively good, such as the level of the mineralization potential belongs to a first level range.

[0082] If any two of the target conditions are satisfied, it indicates that the mineralization potential of the target region is good, such as the level of the mineralization potential belongs to a second level range. The level of the first level range is greater than the level of the second level range.

[0083] For example, if at least two conditions in the target condition are met, such as the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is greater than or equal to a preset number, the larger the number of zircon samples, the higher the grade of the ore-forming potential, such as the greater the dispersion degree of trace element content, the higher the grade of the ore-forming potential, and the greater the range of abnormal values of the target element, the higher the grade of the ore-forming potential.

[0084] Optionally, the greater the dispersion degree of trace element content, the greater the ore-forming potential, such as the higher the grade of the ore-forming potential.

[0085] Optionally, the greater the range of abnormal values of the target element, the greater the ore-forming potential, such as the higher the grade of the ore-forming potential.

[0086] Optionally, the more the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold, the greater the ore-forming potential, such as the higher the grade of the ore-forming potential.

[0087] The mineral exploration method based on ore-forming potential provided by the embodiments of the present application comprises the following steps: obtaining a plurality of zircon samples in a target area; extracting feature information of the plurality of zircon samples and determining whether the feature information of the plurality of zircon samples meets at least two of the target conditions; wherein the feature information comprises at least two of the following: trace element content, abnormal value of a target element, or oxygen fugacity; if it is determined that at least two of the target conditions are met, it is determined that the ore-forming potential of the target area is greater than or equal to a preset grade, and the target area is subjected to mineral exploration; wherein the target conditions comprise at least two of the following: the dispersion degree of trace element content is greater than or equal to a preset degree; the range of abnormal values of the target element is greater than or equal to a preset range; and the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is greater than or equal to a preset number, wherein the trace element content comprises the content of at least one of light rare earth elements, rare earth elements, and heavy rare earth elements. In the above embodiments, the ore-forming potential of the target area is determined based on the performance of the feature information of the zircon samples, that is, whether the target conditions are met, so that the determination result is more accurate, and the efficiency of mineral exploration is higher, thereby avoiding unnecessary waste of manpower and material resources and reducing costs.

[0088] Optionally, the target conditions further comprise:

[0089] The ratio of isotope content is greater than or equal to a first preset value;

[0090] The determination of whether the feature information of the plurality of zircon samples meets at least two of the target conditions comprises:

[0091] The determination of whether the feature information of the plurality of zircon samples meets at least two of the target conditions and the determination of whether the ratio of isotope content is greater than or equal to a first preset value;

[0092] If it is determined that at least two of the target conditions are met, it is determined that the ore-forming potential of the target area is greater than or equal to a preset level, and mineral exploration is performed on the target area, including:

[0093] If it is determined that at least two of the target conditions are met, and it is determined that the ratio of the isotope content is greater than or equal to a first preset value, it is determined that the ore-forming potential of the target area is greater than or equal to a preset level, and mineral exploration is performed on the target area.

[0094] Specifically, the target conditions further include that the ratio of the isotope content is greater than or equal to a first preset value.

[0095] Optionally, the ratio of the isotope content is analyzed based on hafnium Hf elements. Hafnium has six natural stable isotopes: hafnium 174, 176, 177, 178, 179, and 180.

[0096] The ratio of the isotope content includes at least one of the following, for example: 176 Hf content 177 Hf content 176 Lu content 177 Hf content 176 Yb content 177 Hf content 170 Yb content 175 Hf content 179 Hf content 177 Hf content.

[0097] 176 Lu and 176 Yb is a homologous isotope of Lu.

[0098] 174 Hf is a radioactive isotope that forms stable 170 Yb by decay. 176 Lu is a radioactive isotope that forms stable 176 Hf by decay.

[0099] If it is determined that at least two of the target conditions are met, and it is determined that the ratio of the isotope content is greater than or equal to a first preset value, it indicates that the ore-forming potential of the target area is greater, i.e. it is determined that the ore-forming potential of the target area is greater than or equal to a preset level, and mineral exploration is performed on the target area.

[0100] In the above embodiments, the target conditions are further limited by further determining whether the ratio of the isotope content is greater than or equal to a first preset value based on the above at least two of the target conditions being met, thereby further improving the accuracy of determining the ore-forming potential.

[0101] Optionally, step S102, "determining whether the feature information of the plurality of zircon samples satisfies at least two of the target conditions," can be implemented in the following way:

[0102] When the trace element content includes the content of heavy rare earth elements, if the dispersion of the content of heavy rare earth elements is greater than or equal to a preset level, then it is determined that the dispersion of the trace element content is greater than or equal to the preset level in the target condition.

[0103] Specifically, experimental studies have revealed that the dispersion of heavy rare earth elements is more significant compared to that of light rare earth elements. Therefore, when the content of trace elements includes the content of heavy rare earth elements, only the dispersion of heavy rare earth elements can be considered. If the dispersion of the content of heavy rare earth elements is greater than or equal to a preset level, that is, if only the dispersion of the content of heavy rare earth elements satisfies the target condition of being greater than or equal to a preset level, then it can be determined that the dispersion of the content of trace elements in the target condition is greater than or equal to a preset level.

[0104] In the above embodiments, when the trace element content includes the content of heavy rare earth elements, if the dispersion of the content of heavy rare earth elements is greater than or equal to a preset level, it is determined that the dispersion of the trace element content is greater than or equal to the preset level in the target condition. Since only the dispersion of the content of heavy rare earth elements is considered, the efficiency of mineral exploration is high and the accuracy is not affected.

[0105] Optionally, determining whether the feature information of the plurality of zircon samples satisfies at least two of the target conditions includes:

[0106] Calculate the standard deviation of the variation in the content of the trace elements;

[0107] If the standard deviation is greater than or equal to the second preset value, then the dispersion of the trace element content is determined to be greater than or equal to the preset degree.

[0108] Specifically, in order to improve the accuracy of the calculation, the dispersion of trace element content can be described based on the standard deviation (σ). First, the standard deviation of the variation range of trace element content is calculated.

[0109] If the standard deviation is greater than or equal to the second preset value, then the dispersion of the trace element content is determined to be greater than or equal to the preset degree.

[0110] For example, the Lu element content (Lu) of the diorite in region 1. N It is 1365.43×10 -6 ~9521.52×10 -6 The variation range is 8156.09 × 10 -6The standard deviation is 71.78 × 10⁻⁶. -6 Lu element content (Lu) in area 2 diorite N 1587.35×10 -6 ~8915.66×10 -6 The change range is 7328.31 × 10 -6 The standard deviation is 55.66 × 10⁻⁶. -6 Region 3 Diorite (Lu) N 2451.76×10 -6 ~7882.21×10 -6 The variation range is 5430.45 × 10 -6 The standard deviation is 41.90 × 10⁻⁶. -6 This indicates that region 1 has significant mineralization potential.

[0111] For example, the standard deviation (×10) of the variation in rare earth element content across multiple regions (Regions 1-4) -6 The values ​​were: 7974.40, 6755.18, 5327.09, and 3028.13, respectively; the standard deviation of the variation range of heavy rare earth element content (×10) -6 The values ​​were 7748.62, 6612.60, 5107.45, and 2959.75, respectively; the standard deviation of the variation range of light rare earth element content (×10) -6 The values ​​are 230.16, 144.91, 228.00, and 129.80, respectively, indicating that region 1 has a large mineralization potential.

[0112] In the above embodiments, by calculating the standard deviation of the variation range of trace element content, the dispersion of trace element content can be determined based on the standard deviation, thus determining whether it is greater than or equal to a preset level, resulting in a more accurate outcome.

[0113] Optionally, the dispersion of LREE, HREE, and REE values ​​in zircon samples with different mineralization potentials varies significantly. Therefore, the mineralization potential of a target area can be determined based on the dispersion of the original values ​​of LREE, HREE, and REE contents. The greater the variation in LREE, HREE, and REE contents, the stronger the mineralization potential; the smaller the variation in LREE, HREE, and REE contents, the weaker the mineralization potential. Optionally, the outliers of the target elements include: cerium outliers; and / or...

[0114] The determination of whether the feature information of the plurality of zircon samples satisfies at least two of the target conditions includes:

[0115] If the variation ranges of the cerium anomaly value and the europium anomaly value of the zircon sample are both greater than or equal to the preset range as the temperature decreases, it is determined that the variation range of the anomaly value of the target element in the target condition is greater than or equal to the preset range.

[0116] Specifically, the ore-forming potential of the target region can be determined based on the variation range of the cerium anomaly value of the zircon sample. For example, the cerium anomaly values δCe of the zircon samples of the target regions with different ore-forming potentials are all positive anomalies but still have obvious differences, and the variation range of the cerium anomaly value δCe of the zircon sample of the target region with better ore-forming potential is larger. Therefore, in the case where the variation range of the cerium anomaly value δCe is greater than or equal to the preset range, it can be determined that the ore-forming potential of the target region is greater.

[0117] Optionally, in the process of geological evolution, the δCe and the europium anomaly value δEu of the zircon in different regions exhibit certain differences as the temperature decreases. For example, the δCe and the δEu of the zircon in the target region with better ore-forming potential both change significantly as the temperature decreases, that is, the variation range is large, while the δCe and the δEu of the zircon in the target region with lower ore-forming potential do not change regularly and the variation range is extremely small. Therefore, if the variation ranges of the cerium anomaly value and the europium anomaly value of the zircon sample are both greater than or equal to the preset range, it is determined that the variation range of the anomaly value of the target element in the target condition is greater than or equal to the preset range, that is, the ore-forming potential of the target region is greater.

[0118] In the above embodiments, based on the variation range of the cerium anomaly value or the cerium anomaly value and the europium anomaly value, it can be determined whether the variation range of the anomaly value of the target element in the target condition is greater than or equal to the preset range, and then it can be determined whether the ore-forming potential of the target region is greater than or equal to the preset level, so as to determine whether to perform mineral exploration, so that the accuracy of mineral exploration is higher, unnecessary human and material resources are avoided, and the cost is lower.

[0119] Optionally, as shown in Figure 2 the method further includes:

[0120] In S102a, age characteristics are extracted from the plurality of zircon samples, and the mineral age of the target region is determined according to the extracted age characteristics.

[0121] In S103, the mineral exploration of the target region is performed by the following manner:

[0122] According to the mineral age of the target region, the mineral exploration of the target region is performed.

[0123] Optionally, it should be noted that S102a and S102 are not in a specific order.

[0124] Optionally, the age of the target region can be determined based on the morphological characteristics of the zircon samples.

[0125] For example, the mineral age is in the Mesozoic, Archean-Proterozoic, etc. The zircon in the Mesozoic is mostly columnar, the particle size is mostly between 50-200pm, the ratio of long and short axes is between 2:1-5:1, and the difference between different zircon particle sizes and long and short axis ratios is large. The degree of self-forming is high, and the rhythmic ring band is obvious. The zircon in the Archean-Proterozoic is mostly short columnar, the particle size is mostly between 50-100pm, the ratio of long and short axes is mostly 2:1-3:1, and the difference between different zircon particle sizes and long and short axis ratios is smaller than that of the zircon in the Mesozoic. The degree of self-forming is high, and the rhythmic ring band is obvious, and part of the zircon has a growth edge.

[0126] Optionally, the mineral age of the target region can be obtained by weighted average processing of the ages of the plurality of zircon samples in the target region.

[0127] In the above embodiments, by determining the mineral age, the target region can be further explored for mineral resources, which can meet different scene requirements.

[0128] Optionally, the determination of whether the feature information of the plurality of zircon samples satisfies at least two of the target conditions in step S102 can be realized by the following method:

[0129] For any zircon sample, the oxygen fugacity of the zircon sample is determined according to the cerium anomaly value and the zircon crystallization absolute temperature in the zircon sample.

[0130] According to the oxygen fugacity of the plurality of zircon samples, it is determined whether the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is greater than or equal to a preset number.

[0131] Specifically, first, the oxygen fugacity of each zircon sample in the plurality of zircon samples is determined, for example, the oxygen fugacity of each zircon sample is determined according to the cerium anomaly value and the zircon crystallization temperature of each zircon sample.

[0132] According to the oxygen fugacity of each zircon sample, the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is determined. If the number of zircon samples is greater than or equal to a preset number, it is determined that the third condition in the target condition is satisfied, that is, the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is greater than or equal to a preset number, that is, the more the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold, the greater the mineralization potential.

[0133] In some embodiments, the determination of the oxygen fugacity of the zircon sample according to the cerium anomaly value and the zircon crystallization temperature in the zircon sample can be realized by the following method:

[0134] The oxygen fugacity of the zircon sample is determined according to the following formula:

[0135] Ln(Ce / Ce*) D = (0.1156 ± 0.0050) * Ln(fO2) + (13860 ± 708) / T - (6.125 ± 0.484);

[0136] wherein (Ce / Ce*) D denotes the cerium Ce anomaly value in the zircon sample, fO2 represents oxygen fugacity, and T represents the zircon crystallization temperature.

[0137] wherein the T is determined according to the following formula:

[0138] T = (4800 ± 86) / ((5.711 ± 0.072) - lg(Ti)) - 273.15;

[0139] wherein Ti represents the content of titanium element.

[0140] Specifically, the zircon titanium Ti geothermometer formula is adopted as follows:

[0141] lg(Ti) = (5.711 ± 0.072) - (4800 ± 86) / T - logαSiO2+ logαTiO2.

[0142] For a system in which zircon and rutile coexist, it is generally considered that αTiO2= 1, and if it is assumed that αSiO2= 1, then the zircon crystallization temperature is as follows:

[0143] T = (4800 ± 86) / ((5.711 ± 0.072) - lg(Ti)) - 273.15.

[0144] wherein Ti represents the content of titanium element Ti, and the unit is ℃. On the basis of the zircon Ti thermometer calculation, in combination with the zircon Ce anomaly value, the oxygen fugacity of the zircon sample is determined according to the following formula (1):

[0145] Ln(Ce / Ce*) D = (0.1156 ± 0.0050) * Ln(fO2) + (13860 ± 708) / T - (6.125 ± 0.484);

[0146] wherein (Ce / Ce*) D denotes the cerium Ce anomaly value in the zircon sample, fO2 represents oxygen fugacity, and T represents the zircon crystallization temperature.

[0147] wherein Ln represents the natural number e-based logarithm.

[0148] In the above embodiment, the oxygen fugacity of the zircon sample is determined according to the abnormal value of cerium and the zircon crystallization temperature in the zircon sample; then, whether the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is greater than or equal to a preset number is determined according to the oxygen fugacities of the plurality of zircon samples; and finally, whether the ore-forming potential of the target region is greater than or equal to a preset level is determined based on the determination result, and the result of determining the ore-forming potential is more accurate.

[0149] Figure 3 A structure schematic diagram of a mineral exploration device based on ore-forming potential provided in the present application is shown in FIG. 1. Figure 3 As shown in FIG. 1, the mineral exploration device based on ore-forming potential provided in the present embodiment comprises:

[0150] An acquisition device 110 is configured to acquire a plurality of zircon samples in a target region.

[0151] A processing module 120 is configured to extract feature information of the plurality of zircon samples and determine whether the feature information of the plurality of zircon samples satisfies at least two of target conditions; wherein the feature information comprises at least two of the following: trace element content, abnormal value of target element, or oxygen fugacity.

[0152] If it is determined that at least two of the target conditions are satisfied, it is determined that the ore-forming potential of the target region is greater than or equal to a preset level, and the target region is subjected to mineral exploration.

[0153] The target conditions comprise at least two of the following:

[0154] The dispersion degree of the trace element content is greater than or equal to a preset degree.

[0155] The variation range of the abnormal value of the target element is greater than or equal to a preset range.

[0156] The number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is greater than or equal to a preset number.

[0157] The trace element content comprises content of at least one of the following: light rare earth element, rare earth element, or heavy rare earth element.

[0158] In a possible implementation, the target conditions further comprise:

[0159] The ratio of isotope content is greater than or equal to a first preset value.

[0160] The processing module 120 is specifically configured to:

[0161] determine whether the feature information of the plurality of zircon samples satisfies at least two of the target conditions, and determine whether the ratio of isotope content is greater than or equal to a first preset value.

[0162] If it is determined that at least two of the target conditions are met, and that the ratio of the isotope contents is greater than or equal to a first preset value, it is determined that the ore-forming potential of the target region is greater than or equal to a preset level, and mineral exploration is performed on the target region.

[0163] In a possible implementation, the processing module 120 is specifically configured to:

[0164] In a case where the trace element content includes a content of heavy rare earth elements, if the dispersion degree of the content of the heavy rare earth elements is greater than or equal to a preset degree, it is determined that the dispersion degree of the trace element content meets the target condition.

[0165] In a possible implementation, the processing module 120 is specifically configured to:

[0166] The standard deviation of the variation range of the trace element content is calculated.

[0167] If the standard deviation is greater than or equal to a second preset value, it is determined that the dispersion degree of the trace element content is greater than or equal to a preset degree.

[0168] In a possible implementation, the anomaly value of the target element includes: a cerium anomaly value; and / or,

[0169] The processing module 120 is specifically configured to:

[0170] As the temperature decreases, if the variation ranges of the cerium anomaly value and the europium anomaly value of the zircon sample are both greater than or equal to a preset range, it is determined that the variation range of the anomaly value of the target element meets the target condition.

[0171] In a possible implementation, the processing module 120 is specifically configured to:

[0172] For any zircon sample, the oxygen fugacity of the zircon sample is determined according to the cerium anomaly value and the zircon crystallization temperature in the zircon sample.

[0173] According to the oxygen fugacities of a plurality of zircon samples, it is determined whether the number of zircon samples with oxygen fugacities greater than or equal to a preset threshold is greater than or equal to a preset number.

[0174] In a possible implementation, the processing module 120 is specifically configured to:

[0175] The oxygen fugacity of the zircon sample is determined according to the following formula (1):

[0176] Ln(Ce / Ce*) D= (0.1156 ± 0.0050) * Ln (fO2) + (13860 ± 708) / T - (6.125 ± 0.484) ;

[0177] wherein (Ce / Ce *) D Ce represents the content of cerium in the zircon sample, fO2 represents oxygen fugacity, and T represents the crystallization temperature of the zircon;

[0178] According to the formula (2), the T is determined.

[0179] T = (4800 ± 86) / ((5.711 ± 0.072) - lg (Ti)) - 273.15.

[0180] wherein Ti represents the content of titanium.

[0181] In a possible implementation, the processing module 120 is further configured to:

[0182] extract age features from the plurality of zircon samples, and determine the mineral age of the target region according to the extracted age features.

[0183] The processing module 120 is specifically configured to:

[0184] According to the mineral age of the target region, the target region is subjected to mineral exploration.

[0185] The mineral exploration device based on the mineralization potential provided in the embodiment can execute the method provided in the method embodiment, and has similar implementation principles and technical effects. Details are not described herein.

[0186] Figure 4 The structure of the electronic device provided in the present application is shown in FIG. 1. Figure 4 As shown in FIG. 1, the electronic device provided in the embodiment includes at least one processor 210 and a memory 220. Optionally, the electronic device further includes a communication component 230. The processor 210, the memory 220, and the communication component 230 are connected through a bus.

[0187] In the specific implementation process, the at least one processor 210 executes the computer execution instructions stored in the memory 220, so that the at least one processor 210 executes the method described above.

[0188] The specific implementation process of the processor 210 can refer to the method embodiment described above, and has similar implementation principles and technical effects. Details are not described herein.

[0189] In the above embodiments, it should be understood that the processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in combination with the application can be directly embodied as hardware processor execution, or executed by a combination of hardware and software modules in the processor.

[0190] The memory can include a random access memory (RAM), and can also include a non-volatile memory (NVM), such as at least one disk memory.

[0191] The bus can be an industry standard architecture (ISA) bus, a peripheral component (PCI) bus, or an extended industry standard architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application does not limit to only one bus or one type of bus.

[0192] The present application also provides a computer program product, comprising a computer program, which, when executed by a processor, implements the above method.

[0193] The present application also provides a computer readable storage medium, which stores computer execution instructions, and when a processor executes the computer execution instructions, the above method is implemented.

[0194] The above readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0195] An example readable storage medium is coupled to the processor such that the processor can read information from the readable storage medium and can write information to the readable storage medium. Of course, the readable storage medium can also be a part of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor and the readable storage medium can also exist as discrete components in the device.

[0196] The division of units is only a logical functional division, and in actual implementation, there can be another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0197] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0198] In addition, the functional units in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit.

[0199] If the functions are realized in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the part of the present application that essentially contributes to the prior art or the part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the embodiments of the present application. The foregoing storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various program code storage media.

[0200] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by program instruction related hardware. The foregoing program can be stored in a computer readable storage medium. The program executes to perform the steps of the above-mentioned method embodiments; and the foregoing storage medium includes various media capable of storing program codes, such as ROM, RAM, magnetic disk, or optical disk.

[0201] Finally, it should be noted that other embodiments of the present application will readily occur to those skilled in the art upon consideration of the specification and practice of the present application disclosed herein. The present application is intended to include all such variations as fall within the general scope of the application, and includes the generic principles disclosed and the best mode known to the inventors to be currently practiced as well as variations thereof, without departing from the scope of the present application as defined by the claims. The specification and examples give the best application of the present application as known to at least one of the inventors at the time of the filing of this application. It is to be understood that since numerous modifications and changes will readily occur to those skilled in the art, the application is not to be limited to the exact construction and operation as illustrated and described. Accordingly, all such variations are intended to be included within the scope of the present application as defined in the claims. The application is to be limited only by the claims.

Claims

1. A mineral exploration method based on metallogenic potential, characterized by, The method comprises: acquiring a plurality of zircon samples in a target area; extracting feature information of the plurality of zircon samples, and determining whether the feature information of the plurality of zircon samples meets a target condition; wherein the feature information comprises trace element content, abnormal value of a target element, oxygen fugacity, and isotope content; if it is determined that the target condition is met, determining that the ore-forming potential of the target area is greater than or equal to a preset level, and performing mineral exploration on the target area; wherein the target condition comprises: a discrete degree of the trace element content being greater than or equal to a preset degree; a variation range of the abnormal value of the target element being greater than or equal to a preset range; a number of zircon samples with oxygen fugacity greater than or equal to a preset threshold being greater than or equal to a preset number; and a ratio of the isotope content being greater than or equal to a first preset value; wherein the greater the discrete degree of the trace element content, the stronger the ore-forming potential of the target area; the greater the variation range of the abnormal value of the target element, the stronger the ore-forming potential of the target area; the greater the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold, the stronger the ore-forming potential of the target area; and the trace element content comprises content of at least one of light rare earth elements, rare earth elements, and heavy rare earth elements; the determination of whether the feature information of the plurality of zircon samples meets the target condition comprises: calculating a standard deviation of a variation amplitude of the trace element content; and if the standard deviation is greater than or equal to a second preset value, determining that the discrete degree of the trace element content in the target condition is greater than or equal to the preset degree; the abnormal value of the target element comprises a cerium abnormal value and an europium abnormal value; and as the temperature decreases, if the variation range of the cerium abnormal value and the europium abnormal value of the zircon sample are both greater than or equal to a preset range, it is determined that the variation range of the abnormal value of the target element in the target condition is greater than or equal to the preset range; for any zircon sample, the oxygen fugacity of the zircon sample is determined according to the cerium abnormal value and the zircon crystallization temperature in the zircon sample; the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is determined according to the oxygen fugacities of the plurality of zircon samples; and if it is determined that the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is greater than or equal to a preset number, it is determined that the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold in the target condition is greater than or equal to the preset number.

2. The mineral exploration method based on metallogenic potential according to claim 1, characterized in that, the determination that the discrete degree of the trace element content in the target condition is greater than or equal to the preset degree comprises: in the case where the trace element content comprises content of heavy rare earth elements, if the discrete degree of the content of the heavy rare earth elements is greater than or equal to the preset degree, it is determined that the discrete degree of the trace element content in the target condition is greater than or equal to the preset degree.

3. The mineral exploration method based on metallogenic potential according to claim 1, characterized in that, the determination of the oxygen fugacity of the zircon sample according to the cerium abnormal value and the zircon crystallization temperature in the zircon sample comprises: the oxygen fugacity of the zircon sample is determined according to the following formula: Ln(Ce / Ce*) D = (0.1156 ± 0.0050) * Ln(f02) + (13860 ± 708) / T - (6.125 ± 0.484); wherein (Ce / Ce*) D Ce anomaly in the zircon sample, fO2 represents oxygen fugacity, and T represents the zircon crystallization temperature. wherein the T is determined according to the following formula: T = (4800 ± 86) / ((5.711 ± 0.072) - lg(Ti)) - 273.15; wherein, Ti represents the content of titanium element.

4. The mineral exploration method based on metallogenic potential according to claim 1, characterized in that, The method further comprises: age feature extraction is performed on the multiple zircon samples, and a mineral age of the target region is determined according to the extracted age features; The mineral exploration of the target region comprises: mineral exploration is performed on the target region according to the mineral age of the target region.

5. A mineral exploration device based on metallogenic potential, characterized by, It comprises: an acquisition module configured to acquire multiple zircon samples in a target region; a processing module configured to extract feature information of the multiple zircon samples and determine whether the feature information of the multiple zircon samples meets a target condition; wherein the feature information includes trace element content, target element anomaly value, oxygen fugacity, and isotope content; If it is determined that the target condition is met, it is determined that the ore-forming potential of the target region is greater than or equal to a preset level, and mineral exploration is performed on the target region; wherein the target condition includes: the dispersion degree of the trace element content is greater than or equal to a preset degree; the variation range of the target element anomaly value is greater than or equal to a preset range; the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is greater than or equal to a preset number; and the ratio of the isotope content is greater than or equal to a first preset value; wherein the greater the dispersion degree of the trace element content, the stronger the ore-forming potential of the target region; the greater the variation range of the target element anomaly value, the stronger the ore-forming potential of the target region; the greater the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold, the stronger the ore-forming potential of the target region; the trace element content includes the content of at least one of light rare earth elements, rare earth elements, and heavy rare earth elements; The processing module is specifically configured to: calculate the standard deviation of the variation amplitude of the trace element content; if the standard deviation is greater than or equal to a second preset value, it is determined that the dispersion degree of the trace element content in the target condition is greater than or equal to a preset degree; The target element anomaly value includes cerium anomaly value and europium anomaly value; as the temperature decreases, if the variation range of the cerium anomaly value and the europium anomaly value of the zircon sample is greater than or equal to a preset range, it is determined that the variation range of the target element anomaly value in the target condition is greater than or equal to a preset range; For any zircon sample, the oxygen fugacity of the zircon sample is determined according to the cerium anomaly value and the zircon crystallization temperature in the zircon sample; the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is determined according to the oxygen fugacities of the multiple zircon samples; if it is determined that the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold is greater than or equal to a preset number, it is determined that the number of zircon samples with oxygen fugacity greater than or equal to a preset threshold in the target condition is greater than or equal to a preset number.

6. An electronic device, comprising: It comprises: a memory and a processor; The memory stores computer execution instructions; The processor executes the computer execution instructions stored in the memory, so that the processor performs the method of any one of claims 1-4.

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