A geochemical anomaly rapid delineation and evaluation method, device and storage medium
By screening elements related to mineralization potential, calculating enrichment coefficients, and conducting combined configuration analysis, the problem of neglecting weak anomalies in existing technologies has been solved, enabling rapid and effective anomaly delineation and evaluation, and improving exploration efficiency and accuracy.
Patent Information
- Application Number
- CN202410419939.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-04-09
- Publication Date
- 2025-12-05
- Estimated Expiration
- 2044-04-09
AI Technical Summary
Existing technologies for extracting and evaluating geochemical anomalies in exploration neglect geochemical high background, weak, and negative anomalies, resulting in information loss and an inability to effectively identify the mineralization potential of mineral exploration.
By collecting geochemical measurement data, screening elements with high correlation to mineralization potential, calculating enrichment coefficients, and performing sorting and combinatorial configuration analysis, anomalies can be quickly delineated and evaluated.
It improves the efficiency of anomaly identification and evaluation, effectively identifies low-grade anomalies, overcomes the problem of ore leakage in traditional methods, and preserves original geochemical information.
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Figure CN118332256B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of mineral exploration and evaluation, and in particular to a method, equipment, and storage medium for rapid delineation and evaluation of geochemical anomalies. Background Technology
[0002] Geochemical exploration, as one of the most effective and direct mineral exploration techniques, often refers to its findings as "mineralized micro-outcrops" in mineral exploration work, highlighting its crucial role. Various geochemical measurement methods exist to suit different natural geographical landscapes, objectives, and application conditions. However, the selection of appropriate data processing methods and the effective extraction of hidden mineral anomalies are paramount, even directly impacting the success or failure of mineral exploration.
[0003] In previous anomaly information extraction and evaluation, anomaly information extraction mainly involved calculating various parameters of each element's content, such as background value, anomaly lower limit, dispersion, coefficient of variation, contrast value, area quantity, enrichment coefficient, etc., and then drawing up such as single-element geochemical maps, single-element geochemical anomaly maps, element combination anomaly maps, and comprehensive anomaly maps. Previous specific evaluations of anomalies primarily focused on the magnitude or quantity of parameters such as "anomaly intensity, anomaly area, and element combination," and ranked these parameters by their ranking values. While this considered the geological background of the anomaly, prospecting indicators, the presence of known mineral deposits, and the overlap with other geophysical and remote sensing anomalies, it neglected special areas of geochemical fields such as high background geochemical anomalies, weak anomalies, and negative anomalies. This method of evaluating anomalies based on ranking values clearly isolates the anomalies, losing their geochemical background of occurrence, development, and evolution, disrupting the integrity and hierarchy of the geochemical field, and also losing a wealth of information implicit in the geochemical field.
[0004] The geological system and the geochemical system study geological processes and their products from the macroscopic and microscopic perspectives, respectively. The geochemical field, from a microscopic perspective, reflects the traces of element migration, dispersion and accumulation during the occurrence, development and evolution of geological bodies in space. It is also a comprehensive reflection of the geochemical environment and ore-controlling factors on which mineral deposits are formed, and is the basis for the existence of geochemical anomalies.
[0005] Within hydrothermal mineralization systems, the ore-forming fluid is a complex hydrothermal aqueous solution containing ore-forming elements and associated elements, with up to dozens of element types. Generally, the more mineralization stages an endogenous hydrothermal metal deposit has, the more diverse the types of ore-forming and associated elements will be. Furthermore, the geochemical elemental composition of different types of deposits varies significantly. Simultaneously, during the migration of the ore-forming fluid, it continuously undergoes migration, infiltration, and diffusion along specific directions. Due to differences in elemental geochemical properties, lithology along the pathway, and other physicochemical conditions, the content of different elements varies considerably, resulting in different geochemical halos and concentration zones in space. From the hydrothermal center outwards, as distance increases, the elemental content often exhibits a logarithmic decrease or increase, with differences reaching several times, ten times, hundreds of times, thousands of times, or even tens of thousands of times.
[0006] In contrast to fresh surrounding rocks, alteration caused by water-rock reaction often changes the rock structure and mineral assemblage of the original rock, and also causes the enrichment or depletion of certain major and trace elements. In contrast, trace elements in fresh surrounding rocks usually remain within the normal background value range, that is, under the premise of a number of samples required by statistics, they will approximately follow a normal or log-normal distribution. Compared with known mineralized and altered surrounding rocks, the combination characteristics and contents of ore-forming elements and associated elements are quite different.
[0007] To further describe the enrichment and depletion characteristics of elements in rocks or other media, the enrichment coefficient is defined as the ratio of the actual element content to the regional background value. This index is commonly used to determine the (secondary) enrichment or depletion of elements in various rocks or weathering products. Generally, an enrichment coefficient greater than 1 indicates element enrichment, while the opposite indicates element depletion. Areas with abrupt or drastic changes in element content are often favorable locations for mineralization, reflecting the characteristics of local enrichment coefficient variations. The magnitude of the enrichment coefficient mainly depends on the ratio of the measured value of a geochemical sample (rock or other media) within a certain scale to the regional background value. Therefore, its magnitude can serve as an important parameter for assessing the mineralization potential of a sample or geological body. Furthermore, compared to multiple elements in the same sample, the enrichment coefficient not only eliminates the dimensionless relationship between elements but can also be directly used to compare the degree of enrichment among elements.
[0008] Typically, geochemical measurements during exploration involve testing a wide variety of elements in samples. Furthermore, the enrichment levels of different elements vary depending on lithology, medium, and sampling location. Previous studies have confirmed that most endogenic metallic deposits exhibit specific elemental composition and concentration zoning, particularly evident in the strong enrichment of certain elements. Similarly, secondary geochemical anomalies in surface environments also exhibit complex elemental zoning and spatial correlations. The content and enrichment intensity of different elements in a sample serve as tracers of its geological, diagenetic, and mineralization processes.
[0009] Therefore, single elements or combinations of elements with relatively high enrichment coefficients can be selected to represent the potential mineralization information of a sample. Furthermore, the higher the relative enrichment intensity of an element in the sample, the stronger its tendency to become mineralized, and vice versa. Theoretically, the elements with the highest enrichment intensities in a sample reflect the main or particularly indicative geochemical information of the sample's geological properties. Summary of the Invention
[0010] The purpose of this invention is to provide a method, device, and storage medium for rapid delineation and evaluation of geochemical anomalies, so as to improve the effectiveness and efficiency of geochemical anomaly identification.
[0011] A method for rapid delineation and evaluation of geochemical anomalies includes the following steps:
[0012] S1: Collect geochemical measurement data within the area, organize the data, and obtain the organized data table;
[0013] S2: Analyze and filter the element data structure in the data table, and retain the ore-forming elements that are highly correlated with the ore-forming potential;
[0014] S3: Preprocess the ore-forming elements and obtain background values at the same time;
[0015] S4: Calculate the enrichment coefficient of ore-forming elements based on background values;
[0016] S5: Sort the enrichment coefficients to obtain the ore-forming element sequence;
[0017] S6. Create maps based on the ore-forming element sequence;
[0018] S7: Perform combination configuration analysis on elements with different enrichment coefficients to complete anomaly delineation.
[0019] A storage medium that stores instructions and data for implementing a method for rapid delineation and evaluation of geochemical anomalies.
[0020] A device for rapid delineation and evaluation of geochemical anomalies includes: a processor and a storage medium; the processor loads and executes instructions and data in the storage medium to implement a method for rapid delineation and evaluation of geochemical anomalies.
[0021] The beneficial effects provided by this invention are:
[0022] (1) This method does not require interpolation and only performs simple processing on geochemical data, eliminating the dimensional influence between different elements, basically preserving the data structure characteristics of the original geochemical measurement data, and preserving the geochemical mineral exploration information contained in the sample to the greatest extent.
[0023] (2) This method can effectively and quickly identify the differences in enrichment levels and combination configurations of multiple elements in a sample, which greatly improves the efficiency of anomaly identification and evaluation.
[0024] (3) This method can effectively improve the identification effect of low-level anomalies and overcome the problem of missing ore caused by traditional methods that verify "high-level anomalies" but ignore "small-scale anomalies". Attached Figure Description
[0025] Figure 1 This is a schematic diagram of the method flow of the present invention;
[0026] Figure 2 This is a schematic diagram of the hardware device of the present invention. Detailed Implementation
[0027] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be further described below with reference to the accompanying drawings.
[0028] Please refer to Figure 1 This is a schematic diagram of the method flow of the present invention. The present invention provides a method for rapid delineation and evaluation of geochemical anomalies, comprising the following steps:
[0029] S1: Collect geochemical measurement data within the area, organize the data, and obtain the organized data table;
[0030] It should be noted that step S1 specifically involves: checking the measurement data and removing outliers, where the outliers are values that do not meet the preset requirements.
[0031] As one embodiment, the present invention collects and organizes geochemical measurement data of the exploration area, checks the data format and possible errors, and generally discards data that are less than, greater than or below the detection limit, to ensure that each sample has the same number of elements.
[0032] S2: Analyze and filter the element data structure in the data table, and retain the ore-forming elements that are highly correlated with the ore-forming potential;
[0033] It should be noted that step S2 specifically involves:
[0034] S21. Calculate the mean and standard deviation of the measurement data for each element in the data table;
[0035] S22. Calculate the coefficient of variation for the corresponding elements based on the mean and standard deviation, as shown in the following formula:
[0036]
[0037] The coefficient of variation is the ratio of the standard deviation to the mean.
[0038] S23. Elements with a coefficient of variation greater than the preset value are retained as ore-forming elements with high correlation to ore-forming potential.
[0039] As one embodiment, the present invention first calculates the mean and standard deviation of the original measurement data of each element in the data table, obtains the coefficient of variation of the corresponding element, retains the elements with a coefficient of variation greater than 0.75, and deletes as much as possible the elements with a coefficient of variation less than 0.75 and poor correlation with ore-forming elements.
[0040] S3: Preprocess the ore-forming elements and obtain background values at the same time;
[0041] It should be noted that step S3 specifically involves:
[0042] The measurement data of each ore-forming element are subjected to probability distribution test to check whether it belongs to log-normal distribution. If it does, the average value of the element measurement data is taken as the background value of the element. Otherwise, the outlier point is iteratively processed for all the element measurement data according to the traditional statistical stepwise elimination method. Data outside the range of the mean plus or minus three times the deviation is eliminated until there are no outlier values to be eliminated. Finally, the average value of the element is used as the background value.
[0043] S4: Calculate the enrichment coefficient of ore-forming elements based on background values;
[0044] It should be noted that step S4 specifically involves using the ratio of the actual content of an element to the corresponding background value as the enrichment coefficient.
[0045] In this embodiment of the invention, the enrichment coefficient is defined as the ratio of the actual content of an element to the regional background. The enrichment coefficient is often used to determine the (secondary) enrichment or depletion of elements in various rocks or weathering products. Generally, an enrichment coefficient greater than 1 indicates that the element has been enriched, while the opposite indicates that the element has been depleted.
[0046] Furthermore, compared to multiple elements, the enrichment coefficient eliminates the dimensions between elements and can be directly used to compare the degree of enrichment between elements.
[0047] S5: Sort the enrichment coefficients to obtain the ore-forming element sequence;
[0048] It should be noted that step S5 specifically involves assigning values or labels to different elements, and then sorting them from largest to smallest according to their enrichment coefficients to form a sequence of ore-forming elements.
[0049] In this embodiment of the invention, each geochemical measurement sample has the same measurement elements. First, different elements are assigned values. For example, if the geochemical sample has W, Mo, Cu, Pb, Zn, Ag, Au, As, Sb, etc., then W=1, Mo=2, Cu=3, Pb=4, Zn=5, Ag=6, Au=7, As=8, Sb=9 can be defined. The enrichment coefficients of multiple element variables of the sample are sorted by size to form a sequence.
[0050] S6. Create maps based on the ore-forming element sequence;
[0051] It should be noted that step S6 specifically involves: using mapping software to create a map based on the sequence of ore-forming elements.
[0052] In this embodiment of the invention, firstly, following the principle of from largest to smallest, the element with the largest enrichment coefficient in each sample is taken as the first-level enriched element, representing the element most likely to be mineralized or enriched in the sample. The remaining elements are taken as second-level enriched elements, third-level enriched elements, and so on up to N-level enriched elements according to their enrichment coefficients. The corresponding defined values of the first-level enriched elements in the sample are plotted. Using Surfer software and the classification and pasting function, different colors are used to plot different elements of the same enrichment level in the geochemical measurement sample.
[0053] S7: Perform combination configuration analysis on elements with different enrichment coefficients to complete anomaly delineation.
[0054] Step S7 specifically involves: performing spatial overlay analysis on elements with different enrichment coefficients, identifying and comparing the characteristics of enriched element combinations in the abnormal areas of mineralized and associated elements within the region, thereby completing the anomaly delineation.
[0055] In this embodiment of the invention, through analysis of mineralization geological conditions, the main mineral exploration objects and types in the area are identified. Spatial superposition analysis is performed on primary enriched elements, secondary enriched elements, tertiary enriched elements and N-level enriched elements (if the number of tested elements is small, only the spatial combination analysis of primary and secondary enriched elements can be performed). The combination characteristics of enriched elements in the mineralization and associated element anomaly areas in the area are identified. Then, anomalies are classified and characterized according to the order of enriched element levels.
[0056] Furthermore, generally speaking, the first- and second-level enriched elements in the sample are first identified as the elements with the greatest mineralization potential in the area, while the third-, fourth-, and fifth-level enriched elements are identified as associated or similar weakly anomaly mineralization elements. Based on the correlation analysis between elements, and combined with the actual mineralization geological conditions of the anomaly area, the development of known mineralized deposits, geophysical anomalies, remote sensing anomalies, and other possible mineral exploration anomalies, the mineral exploration potential of the sample's location is comprehensively determined.
[0057] It should be noted that the correlation between elements is as follows:
[0058]
[0059] Where Cov(X,Y) is the covariance of X and Y, Var[X] is the variance of X, and Var[Y] is the variance of Y.
[0060] In this invention, enriched elements ranked higher in the order generally reflect the most critical geochemical anomalies in the sample. If the second or third enriched elements, which are also the most likely to form mineral deposits, happen to have a very strong correlation with the first enriched element, then when these elements are combined, they represent the anomalous element combination and structural characteristics of the sample. By combining the primary halo geochemical element combination characteristics of different metal deposits, the basic mineralization properties (such as mineral type) can be further inferred. Therefore, this invention can achieve accurate anomaly delineation through element combination configuration analysis.
[0061] Please see Figure 2 , Figure 2 This is a schematic diagram of the hardware device in operation according to an embodiment of the present invention. The hardware device specifically includes: a rapid geochemical anomaly delineation and evaluation device 401, a processor 402, and a storage medium 403.
[0062] A rapid geochemical anomaly delineation and evaluation device 401: The rapid geochemical anomaly delineation and evaluation device 401 implements the rapid geochemical anomaly delineation and evaluation method.
[0063] Processor 402: The processor 402 loads and executes the instructions and data in the storage medium 403 to implement the method for rapid delineation and evaluation of geochemical anomalies.
[0064] Storage medium 403: The storage medium 403 stores instructions and data; the storage medium 403 is used to implement the method for rapid delineation and evaluation of geochemical anomalies.
[0065] The key to this invention lies in:
[0066] (1) Deeply explore the differences in enrichment degree and combination configuration information of different test elements in the sample, trace the geochemical information of geological properties of the sample, and replace the traditional geochemical anomaly expression form based on element content with the enrichment degree classification of different elements in the sample.
[0067] (2) Based on the original geochemical data, and with the difference in enrichment degree between different elements in the sample as the core, while preserving the original geochemical information of the sample to the maximum extent, it can effectively and quickly determine the elements and combination configurations of the sample that are most likely to be enriched into minerals, and can also highlight the low-grade, weak mineral anomalies that are blocked by traditional methods due to differences in element geochemical background.
[0068] The beneficial effects of this invention are:
[0069] (1) This method does not require interpolation and only performs simple processing on geochemical data, eliminating the dimensional influence between different elements, basically preserving the data structure characteristics of the original geochemical measurement data, and preserving the geochemical mineral exploration information contained in the sample to the greatest extent.
[0070] (2) This method can effectively and quickly identify the differences in enrichment levels and combination configurations of multiple elements in a sample, which greatly improves the efficiency of anomaly identification and evaluation.
[0071] (3) This method can effectively improve the identification effect of low-level anomalies and overcome the problem of missing ore caused by traditional methods that verify "high-level anomalies" but ignore "small-scale anomalies".
[0072] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A method for rapid delineation and evaluation of geochemical anomalies, characterized in that: The method comprises the following steps: S1: collecting and sorting the geochemical survey data in the survey area to obtain a sorted data table; S2: analyzing and screening the element data structure in the data table to retain ore-forming elements with high correlation with ore-forming potential; S3: preprocessing the ore-forming elements and obtaining background values; S4: calculating the enrichment coefficients of the ore-forming elements according to the background values; S5: sorting the enrichment coefficients to obtain an ore-forming element sequence; S6: making a map according to the ore-forming element sequence; S7: combining and analyzing elements with different enrichment coefficients to complete anomaly delineation.
2. The method for rapid delineation and evaluation of geochemical anomalies according to claim 1, characterized in that: Step S1 specifically comprises: checking the measurement data to remove outliers, which are values that do not meet the preset requirements.
3. The method for rapid delineation and evaluation of geochemical anomalies according to claim 1, characterized in that: Step S2 specifically comprises: S21: calculating the mean and standard deviation of the measurement data of each element in the data table; S22: calculating the coefficient of variation of the corresponding element according to the mean and standard deviation, as follows: wherein the coefficient of variation is the ratio of the standard deviation to the mean; S23: retaining elements with a coefficient of variation greater than a preset value as ore-forming elements with high correlation with ore-forming potential.
4. The method for rapid delineation and evaluation of geochemical anomalies according to claim 1, characterized in that: Step S3 specifically comprises: Performing probability distribution testing on the measurement data of each ore-forming element to determine whether it belongs to a lognormal distribution. If it does, the average value of the element measurement data is taken as the background value of the element. Otherwise, according to the traditional statistical stepwise rejection method, all measurement data of the element are iteratively processed to remove outliers, and data outside the range of three times the deviation from the mean value is removed until no outlier value can be removed. Finally, the average value of the element is used as the background value.
5. The method for rapid delineation and evaluation of geochemical anomalies as claimed in claim 1, wherein: Step S4 specifically comprises: taking the ratio of the actual content of the element to the corresponding background value as the enrichment coefficient.
6. The method for rapid delineation and evaluation of geochemical anomalies as claimed in claim 1, wherein: Step S5 specifically comprises: assigning values or labels to different elements, and then sorting them in descending order of enrichment coefficient to obtain an ore-forming element sequence.
7. The method for rapid delineation and evaluation of geochemical anomalies as claimed in claim 1, wherein: Step S6 specifically comprises: using mapping software to make a map according to the ore-forming element sequence.
8. The method for rapid delineation and evaluation of geochemical anomalies as claimed in claim 1, wherein: Step S7 specifically comprises: spatially superimposing and analyzing elements with different enrichment coefficients to identify the enrichment element combination characteristics in the anomaly area of the ore-forming and associated elements, and then comparing them to complete anomaly delineation.
9. A storage medium characterized by: The storage medium stores instructions and data for implementing the geochemical anomaly rapid delineation and evaluation method of any one of claims 1-8.
10. A device for rapid delineation and evaluation of geochemical anomalies, characterized in that: It comprises: A processor and a storage medium; the processor loads and executes the instructions and data in the storage medium to implement the geochemical anomaly rapid delineation and evaluation method of any one of claims 1-8.
Citation Information
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