Methods for delineating favorable mineralization areas for concealed uranium deposits

Abstract

The embodiment of the present application relates to the field of exploration using nuclear radiation, and in particular to a method for delineating a favorable zone for concealed uranium ore mineralization, which comprises the following steps: S10: obtaining soil radon gas concentration in the exploration area in summer; S20: obtaining soil radon gas concentration in the exploration area in winter; S30: determining an abnormal zone in the exploration area according to the soil radon gas concentration in summer; S40: determining the relative deviation of the soil radon gas concentration measurement data in the exploration area in summer and winter according to the data obtained in S10 and S20; S50: determining a low-value zone according to the relative deviation; S60: determining a favorable zone for concealed uranium ore mineralization according to the abnormal zone determined in step S30 and the low-value zone determined in step S50. By instantaneously measuring the soil radon gas concentration at the temperature of different seasons, obtaining the measurement data and relative deviation of different seasons, thereby dividing the abnormal zone of soil radon concentration and the low-value zone of relative deviation, extracting the deep abnormal information in the soil radon gas measurement, and improving the accuracy of delineating the favorable zone for mineralization.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of exploration using nuclear radiation, and in particular to a method for delineating a favorable zone for concealed uranium ore formation. Background Art

[0002] The statements herein merely provide background information related to the present application and do not necessarily constitute prior art.

[0003] Outcrop is the part of strata and rock bodies exposed on the surface, and concealed ore bodies refer to ore bodies that have no outcrops on the surface. At present, in the field of uranium exploration, shallow uranium deposits explored by radioactive measurement methods have been discovered and the focus of uranium exploration has shifted to deep exploration. Concealed ore bodies do not appear on the surface, and their exploration is more difficult. Therefore, an exploration method is needed to determine the areas where concealed uranium deposits may exist. Summary of the invention

[0004] A brief overview of the present application is provided below in order to provide a basic understanding of certain aspects of the present application. It should be understood that this overview is not an exhaustive overview of the present application. It is not intended to identify the key or important parts of the present application, nor is it intended to limit the scope of the present application. Its purpose is merely to present certain concepts in a simplified form as a prelude to a more detailed description discussed later.

[0005] The embodiment of the present application provides a method for delineating a favorable mineralization area for concealed uranium ore, which comprises the following steps: S10: performing instantaneous measurement of soil radon gas in an exploration area in summer to obtain the soil radon gas concentration of the exploration area; S20: performing instantaneous measurement of soil radon gas in an exploration area in winter to obtain the soil radon gas concentration of the exploration area; S30: determining an abnormal area in the exploration area according to the soil radon gas concentration determined in step S10; S40: determining a relative deviation of soil radon gas measurement data in summer and winter in the exploration area according to the soil radon gas concentration determined in step S10 and the soil radon gas concentration determined in step S20; S50: determining a low-value area of ​​the relative deviation according to the relative deviation; S60: determining a favorable mineralization area for concealed uranium ore according to the abnormal area determined in step S30 and the low-value area determined in step S50.

[0006] The embodiment of the present application provides a method for delineating favorable mineralization areas for hidden uranium deposits. By performing instantaneous measurement of soil radon gas concentration at temperatures in different seasons, measurement data and relative deviations in different seasons are obtained, thereby dividing abnormal areas of radon gas concentration and low-value areas of relative deviation, reducing the influence of the near-surface radioactive background field, effectively separating and extracting deep abnormal information in soil radon gas measurements, and improving the accuracy of delineating favorable mineralization areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to further illustrate the above and other advantages and features of the present application, the specific embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. The accompanying drawings together with the following detailed description are included in this specification and form a part of this specification. Elements with the same function and structure are represented by the same reference numerals. It should be understood that these drawings only describe typical examples of the present application and should not be regarded as limiting the scope of the present application.

[0008] Figure 1 It is a schematic flow chart of a method for delineating favorable areas for concealed uranium mineralization provided in an embodiment of the present application. DETAILED DESCRIPTION

[0009] Exemplary embodiments of the present application will be described below in conjunction with the accompanying drawings. For the sake of clarity and conciseness, not all features of the actual implementation are described in the specification. However, it should be understood that many implementation-specific decisions must be made in the process of developing any such actual implementation in order to achieve the developer's specific goals, such as meeting those constraints related to the system and business, and these constraints may vary from implementation to implementation. In addition, it should be understood that although the development work may be very complex and time-consuming, it is only a routine task for those skilled in the art who benefit from the content of this application.

[0010] It is also necessary to explain here that, in order to avoid obscuring the present application due to unnecessary details, only the device structure and / or processing steps closely related to the scheme according to the present application are shown in the accompanying drawings, while other details that are not very relevant to the present application are omitted.

[0011] The disclosure below provides a plurality of different embodiments or examples to implement the present application. In order to simplify the disclosure of the present application, the parts and methods of specific examples are described below. Of course, they are merely examples, and the purpose is not to limit the present application. In the description of the embodiments of the present application, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically limited.

[0012] Radon is an inert gas produced by radium, a decay product of uranium. It is not easy to undergo chemical changes. It has a strong migration ability in soil and rocks and can migrate from deep underground to near the surface. This characteristic makes radon gas measurement an important method for finding deep uranium deposits. Soil radon gas measurement can comprehensively reflect the characteristics of the near-surface radioactive background field and the deep radioactive field.

[0013] Existing research and practice show that the radon concentration in near-surface soil is more susceptible to seasonal changes. The inventors of this application have found that combining radon measurement with seasonal changes can reduce the influence of near-surface background field characteristics affected by seasonal changes, highlight the deep radioactive field characteristics, and use soil radon measurement data to separate and extract deep abnormal information, thereby delineating favorable uranium mineralization areas.

[0014] The embodiment of the present application provides a method for delineating a favorable zone for concealed uranium ore formation. Figure 1 The schematic diagram of the method for delineating a favorable zone for concealed uranium ore formation provided in an embodiment of the present application is shown as follows: Figure 1 As shown, it includes the following steps: S10: perform instantaneous measurement of soil radon gas in the exploration area in summer to obtain the soil radon gas concentration in the exploration area; S20: perform instantaneous measurement of soil radon gas in the exploration area in winter to obtain the soil radon gas concentration in the exploration area; S30: determine the abnormal area in the exploration area according to the soil radon gas concentration determined in step S10; S40: determine the relative deviation of the soil radon gas measurement data in summer and winter in the exploration area according to the soil radon gas concentration determined in step S10 and the soil radon gas concentration determined in step S20; S50: determine the low value area of ​​the relative deviation according to the relative deviation; S60: determine the favorable area for concealed uranium mineralization according to the abnormal area determined in step S30 and the low value area determined in step S50.

[0015] The method for delineating favorable mineralization areas for concealed uranium deposits provided in the present application performs instantaneous measurement of soil radon gas concentration at temperatures in different seasons to obtain measurement data and relative deviations in different seasons, thereby dividing abnormal areas of radon gas concentration and low-value areas of relative deviation, reducing the influence of the near-surface radioactive background field, effectively separating and extracting deep abnormal information in soil radon gas measurement, and improving the accuracy of delineating favorable mineralization areas.

[0016] In some embodiments, in step S30, the following steps are also included: S31: determining the distribution form of the data of soil radon gas concentration; S32: determining the abnormal area in the exploration area according to the distribution form of the data of soil radon gas concentration.

[0017] In some embodiments, in step S10, in summer, the measurement points are determined in the survey area according to the predetermined grid, and the holes are drilled at a predetermined depth (e.g., 70 cm-80 cm) to perform instantaneous measurement of soil radon gas. The drilling depths between different measurement points are kept consistent to control variables and eliminate the influence of different drilling depths on the measurement data.

[0018] In some embodiments, in step S31, the soil radon gas concentration data of the summer survey area measured in step S10 is subjected to a distribution morphology test.

[0019] In some embodiments, in step S32, the following steps are also included: S321: Determine that the distribution pattern of the data of soil radon gas concentration is basically a normal distribution; S322: Determine the average value of the data of soil radon gas concentration; S323: Determine the average value according to step S322, and determine the abnormal lower limit value of soil radon gas concentration; S324: Determine the abnormal area of ​​the exploration area according to the abnormal lower limit value determined in step S323.

[0020] In some embodiments, in step S321, the distribution frequency of summer soil radon gas concentration data within a predetermined range is statistically analyzed. If the summer soil radon gas concentration data basically obeys a normal distribution, it indicates that most of the summer soil radon gas concentration data are concentrated near the average value, and the influence of extreme values ​​is suppressed. At this time, obtaining the abnormal lower limit of the summer soil radon gas concentration data according to mathematical statistics can make the obtained abnormal lower limit value more accurate.

[0021] In some embodiments, step S323 also includes the following steps: S3231: determine the average value and mean square error of the soil radon gas concentration data; S3232: eliminate data in a predetermined range, and iterate multiple times using a predetermined method to determine the final average value; S3233: determine the abnormal lower limit value based on the final average value.

[0022] In some embodiments, in step S3232, the data screening range is set to: >X1+2S1 and <X1-2S1, wherein X1 represents the average value of the soil radon concentration data determined in step S3231, and S1 represents the mean square error determined in step S3231.

[0023] In some embodiments, in step S3232, the predetermined method is to calculate the remaining data in the same manner as the previous calculation based on the previous calculation.

[0024] In some embodiments, in step S3232, summer soil radon gas concentration data within the range greater than X1+2S1 and less than X1-2S1 are eliminated; the average value X2 and mean square deviation S2 of the remaining summer soil radon gas concentration data are recalculated, and the summer soil radon gas concentration data greater than X2+2S2 and less than X2-2S2 are eliminated; the average value X3 and mean square deviation S3 of the remaining summer soil radon gas concentration data are calculated again, and the summer soil radon gas concentration data greater than X3+2S3 and less than X3-2S3 are eliminated, and the above calculation method is repeated.

[0025] In some embodiments, in step S3233, the abnormal lower limit value of the soil radon concentration data is U d The final average value is X n , the final mean square error is S n , the lower limit of the abnormal area meets the following expression: U d =Xn +3S n .

[0026] In some embodiments, in step S3233, when there is no summer soil radon gas concentration data that can be eliminated within the data screening range, the average value X of all the remaining summer soil radon gas concentration data is used. n is the background value, X n +3S n is the abnormal lower limit value U d , which represents the lower limit of the abnormal soil radon concentration area. According to the abnormal lower limit value U d Determine that the soil radon concentration data is greater than X n +3S n For all the measuring points that meet the conditions, the area formed by the measuring points is the abnormal soil radon gas concentration area.

[0027] In some embodiments, the abnormal area delineated in step S32 represents that the soil radon gas concentration value at the measuring point in the area is relatively high, and there are radioactive anomalies at the surface or deep part of the location of the measuring point.

[0028] In some embodiments, in step S32, if the data of soil radon gas concentration basically obeys the logarithmic normal distribution, the data of soil radon gas concentration is taken as the logarithm with base 10, and the converted data is used as the data of soil radon gas concentration, and the abnormal area is determined according to the above method.

[0029] In some embodiments, in step S32, since the concentration of radioactive substances usually presents a large fluctuation range, the log-normal distribution can better handle the extreme values ​​and skewed distribution problems in the data. Therefore, when the soil radon gas concentration data in summer basically obeys the logarithmic distribution, the data can be logarithmically converted to more accurately calculate the abnormal lower limit value, wherein the logarithmic value of the soil radon gas concentration value is greater than the abnormal lower limit value U d The area composed of the measuring points is the abnormal soil radon concentration area.

[0030] In some embodiments, in step S32, if the data of soil radon gas concentration does not obey the normal distribution or the log-normal distribution, the following steps are also included: S321: determine the logarithmic value lgC of the data of soil radon gas concentration C; S322: determine the logarithmic value lgA of the area A of the region composed of measurement points greater than the soil radon gas concentration; S323: mark the data of soil radon gas concentration in a coordinate system with lgC as the horizontal axis and lgA as the vertical axis to obtain multiple scattered points; S324: use the least squares method to fit the multiple scattered points into two straight lines, determine the intersection point where the two straight lines intersect, and according to the intersection point, determine the corresponding soil radon gas concentration value as the abnormal lower limit value; S325: determine that the area where the soil radon gas concentration value is greater than the abnormal lower limit value determined in step S324 is an abnormal area.

[0031] In some embodiments, in step S32, when the soil radon gas concentration data deviates significantly from the normal distribution and the log-normal distribution, the content-area (CA) fractal method can be used to obtain the abnormal lower limit value U d This method regards the exploration area as a chaotic system with a low-dimensional attractor, in which the geochemical background value and the abnormal value of the element have their own independent power exponential relationship, forming a multiple distribution. By analyzing the relationship between the element content and the area, the fractal distribution characteristics of the element can be revealed, and then the abnormal lower limit value can be determined, so that it is not affected by the extreme value data, and the abnormal lower limit value can be automatically calculated to reduce the error of human intervention. Where C represents the soil radon gas concentration value, A represents the area composed of the measurement points greater than the soil radon gas concentration value, and a double logarithmic scatter plot is drawn with lgC as the horizontal axis and lgA as the vertical axis, and two straight lines are fitted on the scatter plot by the least squares method, and the soil radon gas concentration value corresponding to the horizontal coordinate of the intersection of the two straight lines is the abnormal lower limit value U d , the soil radon gas concentration in the survey area is greater than the abnormal lower limit U d The area composed of the measurement points is the abnormal area.

[0032] In some embodiments, in step S40, the relative deviation conforms to the following expression: D=|A1-A2| / (A1+A2), where D is the relative deviation, A1 is the soil radon concentration value measured at a certain measurement point in summer, and A2 is the soil radon concentration value measured at the same measurement point in winter.

[0033] In some embodiments, in step S20, winter measurement points are determined in the survey area according to the summer measurement points determined in step S10, ensuring that the winter measurement points coincide with the summer measurement points, and drilling holes to extract gas according to the depth of the summer drilling, and performing instantaneous measurement of soil radon gas. That is, the location, parameters and measurement method of measuring soil radon gas concentration in winter are consistent with the process of measuring soil radon gas concentration in summer, so as to ensure that seasonal changes are the only variable and exclude the influence of other factors on the measurement data.

[0034] In step S40, calculating the soil radon gas concentration values ​​of the same measuring point in summer and winter can determine the degree of deviation of the measurement result of each point from the average value, thereby evaluating the degree of change of the soil radon gas concentration of each measuring point under different seasonal temperature changes.

[0035] In some embodiments, in step S50, the following steps are also included: S51: Determine the relative deviation of each measurement point in the survey area, and form a data set D1, D2, D3...D of the relative deviations. n; S52: Determine the average value X1 and the mean square error S1 of the relative deviation; S53: Remove the data greater than X1+2S1 and less than X1-2S1 from the data set to obtain an updated data set; S54: Repeat steps S52-S53 until no data needs to be removed; S55: Determine the average value X1 of the data in step S54 n and the mean square error S n ; S56: Determine that the relative deviation is less than X n -2S n The area composed of measurement points is the low value area of ​​relative deviation.

[0036] In some embodiments, in step S56, the relative deviation of all soil radon gas concentration data remaining in step S54 is X. n -2S n The value is the threshold for demarcating the low-value zone of relative deviation of soil radon gas concentration in the exploration area. The low-value zone represents the area composed of measurement points where the soil radon gas concentration values ​​measured in summer and winter in the exploration area vary little. That is to say, the soil radon gas concentration values ​​in the low-value zone do not change significantly with seasonal temperature changes, which indicates that the soil radon gas at the measurement points in this area mainly comes from deep.

[0037] In some embodiments, in step S60, the area where the abnormal area and the low-value area overlap is a favorable area for concealed uranium mineralization.

[0038] In some embodiments, the abnormal soil radon gas concentration area delineated in step S32 is overlapped with the low-value area of ​​relative deviation in different seasons delineated in step S56. The abnormal soil radon gas concentration area indicates that there are radioactive anomalies in the shallow or deep part of the area. The low-value area of ​​relative deviation in different seasons represents that the soil radon gas in the area mainly comes from deep. The area where the abnormal area and the low-value area intersect is the favorable area for hidden uranium mineralization.

[0039] Regarding the embodiments of the present application, it should also be noted that, in the absence of conflict, the embodiments of the present application and the features therein can be combined with each other to obtain new embodiments.

[0040] The above are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. The protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for delineating a favorable zone for concealed uranium ore formation, characterized in that: It includes the following steps: S10: performing instantaneous measurement of soil radon gas in the survey area in summer to obtain the soil radon gas concentration in the survey area; S20: performing instantaneous measurement of soil radon gas in the survey area in winter to obtain the soil radon gas concentration in the survey area; S30: determining an abnormal area in the survey area according to the soil radon gas concentration determined in step S10; S40: Determine the relative deviation of the soil radon gas measurement data in summer and winter of the survey area according to the soil radon gas concentration determined in step S10 and the soil radon gas concentration determined in step S20; S50: determining a low value area of ​​the relative deviation according to the relative deviation; S60: Determine the favorable area for concealed uranium mineralization based on the abnormal area determined in step S30 and the low-value area determined in step S50.

2. The method according to claim 1, characterized in that In step S30, the following steps are also included: S31: Determine the distribution form of the soil radon gas concentration data; S32: Determine the abnormal area in the survey area according to the distribution pattern of the soil radon gas concentration data.

3. The method according to claim 2, characterized in that In step S32, the following steps are also included: S321: Determine that the distribution form of the soil radon gas concentration data is substantially normal distribution; S322: Determine the average value of the soil radon gas concentration data; S323: Determine the abnormal lower limit value of the soil radon gas concentration according to the average value determined in step S322; S324: According to the abnormal lower limit value determined in step S323, the exploration area is determined to be an abnormal area.

4. The method according to claim 3, characterized in that in, Step S323 also includes the following steps: S3231: Determine the average value and mean square error of the soil radon gas concentration data; S3232: Eliminate data within a predetermined range, and iterate multiple times using a predetermined method to determine a final average value; S3233: Determine the abnormal lower limit value based on the final average value.

5. The method according to claim 4, characterized in that In step S3232, data greater than X1+2S1 and less than X1-2S1 are eliminated. Among them, X1 represents the average value of the data of the soil radon gas concentration determined in step S3231, and S1 represents the mean square error determined in step S3231.

6. The method according to claim 4, characterized in that In step S3232, the predetermined method is to calculate the remaining data in the same manner as the previous calculation based on the previous calculation.

7. The method according to claim 5, characterized in that In step S3233, the abnormal lower limit value of the soil radon concentration data is U d , the final average value is X n , the final mean square error is S n , The abnormal lower limit value of the abnormal area meets the following expression: U d =X n +3S n 。 8. The method according to claim 2, characterized in that: In step S32, if the data of soil radon gas concentration basically obeys the logarithmic normal distribution, the data of soil radon gas concentration is taken as the logarithm with base 10, and the converted data is used as the data of soil radon gas concentration to determine the abnormal area.

9. The method according to claim 2, characterized in that: In step S32, if the data of soil radon gas concentration does not obey normal distribution or lognormal distribution, the following steps are also included: S321: Determine the logarithmic value lgC of the data of the soil radon gas concentration C; S322: Determine the logarithm value lgA of the area A of the region composed of the measurement points having a concentration greater than the soil radon gas concentration; S323: marking the data of soil radon gas concentration in a coordinate system with lgC as the horizontal axis and lgA as the vertical axis to obtain a plurality of scattered points; S324: fitting the plurality of scattered points into two straight lines using the least square method, determining an intersection point where the two straight lines intersect, and determining, based on the intersection point, that the soil radon gas concentration value corresponding to the intersection point is the abnormal lower limit value; S325: Determine the area where the soil radon gas concentration value is greater than the abnormal lower limit value determined in step S324 as an abnormal area.

10. The method according to claim 1, characterized in that In step S40, the relative deviation conforms to the following expression: D=|A1-A2| / (A1+A2), D is the relative deviation, A1 is the soil radon concentration value measured at a certain measuring point in summer, and A2 is the soil radon concentration value measured at the same measuring point in winter.

11. The method according to claim 1, characterized in that: In step S50, the following steps are also included: S51: Determine the relative deviation of each measuring point in the survey area and form data sets D1, D2, D3, ..., of the relative deviations. n ; S52: Determine the average value X1 and the mean square error S1 of the relative deviation; S53: Remove data greater than X1+2S1 and less than X1-2S1 from the data set to obtain an updated data set; S54: Repeat S52-S53 until there is no more data to be removed; S55: Determine the average value X of the data in step S54 n And the mean square error S n ; S56: Determine that the relative deviation is less than X n -2S n The area composed of the measurement points is the low value area of ​​the relative deviation.

12. The method according to claim 11, characterized in that In step S60, the area where the abnormal area overlaps with the low-value area is the favorable area for the formation of concealed uranium deposits.

Images