Ore prospecting guidance method based on geochemical anomaly delineation of water-based sediments

Through drones collecting water system sediment samples and combining grid partitioning and multi-point multi-testing technology, the problems of terrain limitations and environmental factors are solved, and the accuracy and efficiency of ore search are improved.

CN120028874AInactive Publication Date: 2025-05-23浙江省核工业二六二大队
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Patent Information

Application Number
CN202510082452.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-20
Publication Date
2025-05-23
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing water-based sediment prospecting methods are difficult to enter the collection area due to terrain limitations, and the sample detection results are easily affected by environmental factors, resulting in inaccurate mineral exploration locations.

Method used

The drone is used for sample collection, combined with grid partitioning and multi-point multi-testing technology, to reduce the time and energy required for human sampling, and to detect multiple sets of control samples to reduce the impact of environmental factors on the detection results.

Benefits of technology

It improves the accuracy of mineral exploration, reduces detection errors, and reduces the time and effort required for human sampling.

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Abstract

The invention discloses a geochemical anomaly delineation guidance prospecting method based on water-based sediments, relates to the technical field of geochemical prospecting, and solves the problems that when a prospecting method based on the water-based sediments is carried out, manpower is difficult to enter a plurality of collection areas due to the limitation of terrains, and the prospecting efficiency is low. And the collected samples are easily influenced by regional environmental factors, so that the detection result has a relatively large error, and the prospecting site is not accurate. A prospecting method based on geochemical anomaly delineation guidance of water-based sediments comprises the steps that grid partitioning is conducted on all river branches of a selected prospecting area, and a general survey prospecting area map is made with the proportional scale ranging from 1: 50000 to 1: 100000 to serve as a general survey stage. According to the invention, through the unmanned aerial vehicle, sample sampling is carried out on areas which cannot be involved by personnel, time and energy consumed by manual sampling are reduced, and through a multi-point multi-measurement mode, detection errors are reduced.
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Description

Technical Field

[0001] The invention relates to the technical field of geochemical prospecting, and in particular to a method for guiding prospecting based on the delineation of geochemical anomalies in water system sediments. Background Art

[0002] The dispersed flow prospecting method is a geochemical prospecting method that measures the trace element content or other geochemical characteristics in stream sediments to discover anomalies related to mineralization and traces upstream to find ore deposits. It is a highly efficient geochemical survey method; Nuclear geochemical survey of stream sediments is referred to as nuclear survey of stream sediments, sometimes also called dispersed flow nuclear survey. It is to collect stream sediment samples and measure the relevant radionuclides and other relevant parameters in them to find minerals and solve related problems.

[0003] However, the existing prospecting methods based on stream sediments are limited by terrain, and many collection areas are difficult for manpower to enter. In addition, the collected samples are easily affected by regional environmental factors, resulting in large errors in the test results and inaccurate prospecting locations. Therefore, it does not meet the existing needs. In this regard, we propose a prospecting method based on the delineation of geochemical anomalies in stream sediments to guide mineral exploration. Summary of the invention

[0004] The purpose of the present invention is to provide a method for guiding mineral exploration based on the delineation of geochemical anomalies in stream sediments, so as to solve the problems that during the mineral exploration method based on stream sediments proposed in the above background technology, due to terrain restrictions, many collection areas are difficult to enter by manpower, and the collected samples are easily affected by regional environmental factors, resulting in large errors in the test results and inaccurate prospecting locations.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for guiding prospecting based on the delineation of geochemical anomalies in stream sediments, the method comprising: Step (1), grid-dividing all river branches in the selected prospecting area, and making a general prospecting area map with a scale of 1:50000 to 1:100000, so that it can be used as a survey stage, all river branches in the prospecting area are divided into intervals according to the complexity of the geological structure of the selected prospecting area, the length of the river system and other factors, and setting up partition marks on the prospecting area map; Step (2), select a location close to the center of the map as the location for drone deployment. For locations that are far away and difficult to reach by manpower, use drones to sample the river system, and the sample weight is 200-300ml. For locations that are close and easily accessible by manpower, use manpower to sample the river system, and the sample weight is 200-300ml. Step (3), first test the content of each element in the samples of the area that is obviously not related to the mineralization to determine the average normal content of each element, then test the collected samples, mark the content of each element of the sample collected at each partition position on the map partition position, and then perform concentration classification, and finally mark the classification criteria that can reflect the non-ore-bearing area, weakly mineralized area and obvious mineralized area; Step (4), based on the metal content map marked in step (3), combined with factors such as the topography in the survey area, delineate the hydrochemical anomaly area, then analyze each hydrochemical anomaly area based on factors such as geological structure, mineralization characteristics, rock properties, geomorphology, hydrogeology, the degree of development of oxidation zones, and the presence of metals in the ore, and select the most likely mineralization anomaly area; Step (5), then make a detailed prospecting area map of the most likely mineralized anomaly area with a scale of 1:10000 to 1:50000 as the detailed exploration stage, and repeat steps (1) to (4) to reduce the size of the most likely mineralized anomaly area, and determine the deep geological characteristics of the mineralized prospect area based on the deep geological characteristics and tectonic evolution characteristics of the prospecting area.

[0006] Preferably, the step (1) comprises the following steps: Step (1.1), when zoning river branches, all small river branches, streams that are about to dry up, and dry valley terrains need to be specially marked and carefully zoned; Step (1.2): For river tributaries of about 1 km, a zone is set up every 150-250 m. For smaller dry valley terrain, a zone is set up every 100-200 m. For the mainstream or main stream of the river, a zone is set up every 250-450 m. A zone is set up at the entrance of each tributary without any spacing restrictions.

[0007] Preferably, the step (2) comprises the following steps: Step (2.1), when the drone is sampling, it is necessary to immerse the sampling glass bottle in the river to be tested, and leave an air gap of 5-10mm between the water and the mouth of the glass bottle, and then seal the glass bottle. At the same time, it is necessary to collect multiple points at the partition position to avoid detection errors, and then quickly return to the experimenter to recover the sample; Step (2.2), when the experimenter takes samples manually, the sampling glass bottle and the bottle stopper should be washed with water for more than three times before sampling. After sampling, the collected samples should be numbered, and the samples delivered by each drone should be numbered to identify their sampling locations; Step (2.3), for areas with less water samples or dried-up water sources, soft mud or clay materials in soil sediments can be sampled. The samples should be collected at the bends of water flow, the depressions in the bedrock at the bottom of the valley behind huge rocks, etc. The weight of the sample should be 50-80g.

[0008] Preferably, the step (3) comprises the following steps: Step (3.1), each different metal element content is marked with a different symbol, and the difference in element content is represented by the amount of paint within the symbol; Step (3.2) is to classify the elements according to the average normal content of each element and the maximum content of the element in the area. The first level is the average normal content of each element in the area, which is used as the background value; the second level is the content between the first level and the abnormal element content; then it is divided into the third, fourth and fifth levels from small to large according to the abnormal content of metal elements. The highest level can reflect a small amount of particularly high abnormal content directly related to the ore body, which is convenient for the determination of abnormal areas.

[0009] Preferably, the step (4) comprises the following steps: Based on the metal content map marked in step (3), the hydrochemical anomaly area is delineated in combination with factors such as the topography of the survey area. Then, each hydrochemical anomaly area is analyzed based on factors such as geological structure, mineralization characteristics, rock properties, geomorphology, hydrogeology, the degree of development of oxidation zones, and the presence of metals in the ore, and the most likely mineralization anomaly area is selected. Step (4.1), when analyzing the abnormal area, first record the regional topography and landforms through drone and satellite imaging technology, and then use the geochemical exploration module to detect the rock properties and hydrogeology of the area; Step (4.2), import all specific data into the data analysis module, and the data analysis module analyzes the imported specific data in combination with the regional metal element content to determine the cause of the abnormality.

[0010] Preferably, the geochemical exploration module includes a data acquisition system, a data detection system, and a data transmission system. The data acquisition system imports the collected data into the data detection system, and uses SPSS software and GeoDa software to perform principal component analysis on the geochemical data. The data obtained after the analysis is transmitted to the data analysis module by the data transmission module.

[0011] Preferably, the data analysis module includes a data collection system, a data analysis system and a database. The data collection system integrates and packages the received data and sends them to the data analysis system. The data analysis system combines the conditions of other discovered mineralization areas in the database with the existing data for analysis to find multiple hydrochemical anomaly areas, and displays the mineralization probability of each hydrochemical anomaly area.

[0012] Preferably, the step (2.2) comprises the following steps: Step (2.2.1), when sampling, the experimenter should collect and record the ambient temperature and humidity of the sampling area, as well as the rainfall in recent days and the content of various elements in the air to avoid the surrounding environment and rainfall affecting the test results of the sampling area; Step (2.2.2): When the test results of samples in some areas are significantly different from those of adjacent samples, we should return to the sampling area to resample, and conduct different control tests using sunny days, rainy days, and different sampling locations as control groups, and analyze the key factors affecting the test results in the area to improve the accuracy of the test results.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention uses drones to collect samples in areas that cannot be reached by personnel, reducing the time and energy consumed by human sampling, and reduces detection errors through multi-point multi-measurement; 2. The present invention reduces the impact of local environmental factors on test results and improves the accuracy of prospecting by testing multiple groups of control samples according to local environmental factors. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a flow chart of the prospecting method of the present invention; Figure 2 Flow chart of data analysis of the present invention. DETAILED DESCRIPTION

[0015] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0016] See also Figure 1 to Figure 2 The present invention provides an embodiment: a method for guiding prospecting based on geochemical anomaly delineation of stream sediments, the prospecting method comprising: Step (1), grid-dividing all river branches in the selected prospecting area, and making a general prospecting area map with a scale of 1:50000 to 1:100000, so that it can be used as a survey stage, all river branches in the prospecting area are divided into intervals according to the complexity of the geological structure of the selected prospecting area, the length of the river system and other factors, and setting up partition marks on the prospecting area map; Step (2), select a location close to the center of the map as the location for drone deployment. For locations that are far away and difficult to reach by manpower, use drones to sample the river system, and the sample weight is 200-300ml. For locations that are close and easily accessible by manpower, use manpower to sample the river system, and the sample weight is 200-300ml. Step (3), first test the content of each element in the samples of the area that is obviously not related to the mineralization to determine the average normal content of each element, then test the collected samples, mark the content of each element of the sample collected at each partition position on the map partition position, and then perform concentration classification, and finally mark the classification criteria that can reflect the non-ore-bearing area, weakly mineralized area and obvious mineralized area; Step (4), based on the metal content map marked in step (3), combined with factors such as the topography in the survey area, delineate the hydrochemical anomaly area, then analyze each hydrochemical anomaly area based on factors such as geological structure, mineralization characteristics, rock properties, geomorphology, hydrogeology, the degree of development of oxidation zones, and the presence of metals in the ore, and select the most likely mineralization anomaly area; Step (5), then make a detailed prospecting area map of the most likely mineralized anomaly area with a scale of 1:10000 to 1:50000 as the detailed exploration stage, and repeat steps (1) to (4) to reduce the size of the most likely mineralized anomaly area, and determine the deep geological characteristics of the mineralized prospect area based on the deep geological characteristics and tectonic evolution characteristics of the prospecting area.

[0017] Step (1) includes the following steps: Step (1.1), when zoning river branches, all small river branches, streams that are about to dry up, and dry valley terrains need to be specially marked and carefully zoned; Step (1.2): For river tributaries of about 1 km, a zone is set up every 150-250 m. For smaller dry valley terrain, a zone is set up every 100-200 m. For the mainstream or main stream of the river, a zone is set up every 250-450 m. A zone is set up at the entrance of each tributary without any spacing restrictions.

[0018] Step (2) includes the following steps: Step (2.1), when the drone is sampling, it is necessary to immerse the sampling glass bottle in the river to be tested, and leave an air gap of 5-10mm between the water and the mouth of the glass bottle, and then seal the glass bottle. At the same time, it is necessary to collect multiple points at the partition position to avoid detection errors, and then quickly return to the experimenter to recover the sample; Step (2.2), when the experimenter takes samples manually, the sampling glass bottle and the bottle stopper should be washed with water for more than three times before sampling. After sampling, the collected samples should be numbered, and the samples delivered by each drone should be numbered to identify their sampling locations; Step (2.3), for areas with less water samples or dried-up water sources, soft mud or clay materials in soil sediments can be sampled. The samples should be collected at the bends of water flow, the depressions in the bedrock at the bottom of the valley behind huge rocks, etc. The weight of the sample should be 50-80g.

[0019] Step (3) includes the following steps: Step (3.1), each different metal element content is marked with a different symbol, and the difference in element content is represented by the amount of paint within the symbol; Step (3.2) is to classify the elements according to the average normal content of each element and the maximum content of the element in the area. The first level is the average normal content of each element in the area, which is used as the background value; the second level is the content between the first level and the abnormal element content; then it is divided into the third, fourth and fifth levels from small to large according to the abnormal content of metal elements. The highest level can reflect a small amount of particularly high abnormal content directly related to the ore body, which is convenient for the determination of abnormal areas.

[0020] Step (4) includes the following steps: Based on the metal content map marked in step (3), the hydrochemical anomaly area is delineated in combination with factors such as the topography of the survey area. Then, each hydrochemical anomaly area is analyzed based on factors such as geological structure, mineralization characteristics, rock properties, geomorphology, hydrogeology, the degree of development of oxidation zones, and the presence of metals in the ore, and the most likely mineralization anomaly area is selected. Step (4.1), when analyzing the abnormal area, first record the regional topography and landforms through drone and satellite imaging technology, and then use the geochemical exploration module to detect the rock properties and hydrogeology of the area; Step (4.2), import all specific data into the data analysis module, and the data analysis module analyzes the imported specific data in combination with the regional metal element content to determine the cause of the abnormality.

[0021] The geochemical exploration module includes a data acquisition system, a data detection system, and a data transmission system. The data acquisition system imports the collected data into the data detection system, and uses SPSS software and GeoDa software to perform principal component analysis on the geochemical data. The data obtained after analysis is transmitted to the data analysis module by the data transmission module.

[0022] The data analysis module includes a data collection system, a data analysis system and a database. The data collection system integrates and packages the received data and sends it to the data analysis system. The data analysis system combines the conditions of other discovered mineralization areas in the database with the existing data for analysis to find multiple hydrochemical anomaly areas and display the mineralization probability of each hydrochemical anomaly area.

[0023] Step (2.2) includes the following steps: Step (2.2.1), when sampling, the experimenter should collect and record the ambient temperature and humidity of the sampling area, as well as the rainfall in recent days and the content of various elements in the air to avoid the surrounding environment and rainfall affecting the test results of the sampling area; Step (2.2.2): When the test results of samples in some areas are significantly different from those of adjacent samples, we should return to the sampling area to resample, and conduct different control tests using sunny days, rainy days, and different sampling locations as control groups, and analyze the key factors affecting the test results in the area to improve the accuracy of the test results.

[0024] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A method for guiding prospecting based on the delineation of geochemical anomalies in stream sediments, characterized by: The prospecting method comprises: Step (1), grid-dividing all river branches in the selected prospecting area, and making a general prospecting area map with a scale of 1:50000 to 1:100000, so that it can be used as a survey stage, all river branches in the prospecting area are divided into intervals according to the complexity of the geological structure of the selected prospecting area, the length of the river system and other factors, and setting up partition marks on the prospecting area map; Step (2), select a location close to the center of the map as the location for drone deployment. For locations that are far away and difficult to reach by manpower, use drones to sample the river system, and the sample weight is 200-300ml. For locations that are close and easily accessible by manpower, use manpower to sample the river system, and the sample weight is 200-300ml. Step (3), first test the content of each element in the samples of the area that is obviously not related to the mineralization to determine the average normal content of each element, then test the collected samples, mark the content of each element of the sample collected at each partition position on the map partition position, and then perform concentration classification, and finally mark the classification criteria that can reflect the non-ore-bearing area, weakly mineralized area and obvious mineralized area; Step (4), based on the metal content map marked in step (3), combined with factors such as the topography in the survey area, delineate the hydrochemical anomaly area, then analyze each hydrochemical anomaly area based on factors such as geological structure, mineralization characteristics, rock properties, geomorphology, hydrogeology, the degree of development of oxidation zones, and the presence of metals in the ore, and select the most likely mineralization anomaly area; Step (5), then make a detailed prospecting area map of the most likely mineralized anomaly area with a scale of 1:10000 to 1:50000 as the detailed exploration stage, and repeat steps (1) to (4) to reduce the size of the most likely mineralized anomaly area, and determine the deep geological characteristics of the mineralized prospect area based on the deep geological characteristics and tectonic evolution characteristics of the prospecting area.

2. The method for guiding prospecting based on geochemical anomaly delineation of stream sediments according to claim 1, characterized in that: The step (1) comprises the following steps: Step (1.1), when zoning river branches, all small river branches, streams that are about to dry up, and dry valley terrains need to be specially marked and carefully zoned; Step (1.2): For river tributaries of about 1 km, a zone is set up every 150-250 m. For smaller dry valley terrain, a zone is set up every 100-200 m. For the mainstream or main stream of the river, a zone is set up every 250-450 m. A zone is set up at the entrance of each tributary without any spacing restrictions.

3. The method for guiding prospecting based on geochemical anomaly delineation of stream sediments according to claim 1, characterized in that: The step (2) comprises the following steps: Step (2.1), when the drone is sampling, it is necessary to immerse the sampling glass bottle in the river to be tested, and leave an air gap of 5-10mm between the water and the mouth of the glass bottle, and then seal the glass bottle. At the same time, it is necessary to collect multiple points at the partition position to avoid detection errors, and then quickly return to the experimenter to recover the sample; Step (2.2), when the experimenter takes samples manually, the sampling glass bottle and the bottle stopper should be washed with water for more than three times before sampling. After sampling, the collected samples should be numbered, and the samples delivered by each drone should be numbered to identify their sampling locations; Step (2.3), for areas with less water samples or dried-up water sources, soft mud or clay materials in soil sediments can be sampled. The samples should be collected at the bends of water flow, the depressions in the bedrock at the bottom of the valley behind huge rocks, etc. The weight of the sample should be 50-80g.

4. The method for guiding prospecting based on geochemical anomaly delineation of stream sediments according to claim 1, characterized in that: The step (3) comprises the following steps: Step (3.1), each different metal element content is marked with a different symbol, and the difference in element content is represented by the amount of paint within the symbol; Step (3.2) is to classify the elements according to the average normal content of each element and the maximum content of the element in the area. The first level is the average normal content of each element in the area, which is used as the background value; the second level is the content between the first level and the abnormal element content; then it is divided into the third, fourth and fifth levels from small to large according to the abnormal content of metal elements. The highest level can reflect a small amount of particularly high abnormal content directly related to the ore body, which is convenient for the determination of abnormal areas.

5. The method for guiding prospecting based on geochemical anomaly delineation of stream sediments according to claim 1, characterized in that: The step (4) comprises the following steps: Based on the metal content map marked in step (3), the hydrochemical anomaly area is delineated in combination with factors such as the topography of the survey area. Then, each hydrochemical anomaly area is analyzed based on factors such as geological structure, mineralization characteristics, rock properties, geomorphology, hydrogeology, the degree of development of oxidation zones, and the presence of metals in the ore, and the most likely mineralization anomaly area is selected. Step (4.1), when analyzing the abnormal area, first record the regional topography and landforms through drone and satellite imaging technology, and then use the geochemical exploration module to detect the rock properties and hydrogeology of the area; Step (4.2), import all specific data into the data analysis module, and the data analysis module analyzes the imported specific data in combination with the regional metal element content to determine the cause of the abnormality.

6. A method for guiding prospecting based on geochemical anomaly delineation of stream sediments according to claim 5, characterized in that: The geochemical exploration module includes a data acquisition system, a data detection system, and a data transmission system. The data acquisition system imports the collected data into the data detection system, and uses SPSS software and GeoDa software to perform principal component analysis on the geochemical data. The data obtained after analysis is transmitted to the data analysis module by the data transmission module.

7. The method for guiding prospecting based on geochemical anomaly delineation of stream sediments according to claim 5, characterized in that: The data analysis module includes a data collection system, a data analysis system and a database. The data collection system integrates and packages the received data and sends it to the data analysis system. The data analysis system combines the conditions of the other discovered mineralization areas in the database with the existing data for analysis to find multiple hydrochemical anomaly areas and display the mineralization probability of each hydrochemical anomaly area.

8. The method for guiding mineral exploration based on the delineation of geochemical anomalies of stream sediments according to claim 3 is characterized by: The step (2.2) comprises the following steps: Step (2.2.1), when sampling, the experimenter should collect and record the ambient temperature and humidity of the sampling area, as well as the rainfall in recent days and the content of various elements in the air to avoid the surrounding environment and rainfall affecting the test results of the sampling area; Step (2.2.2): When the test results of samples in some areas are significantly different from those of adjacent samples, we should return to the sampling area to resample, and conduct different control tests using sunny days, rainy days, and different sampling locations as control groups, and analyze the key factors affecting the test results in the area to improve the accuracy of the test results.