Method for delineating favorable metallogenic zone of sandstone type uranium deposit in detailed survey-general survey stage

Abstract

The invention belongs to the field of unconventional and new energy, and particularly relates to a method for delineating a favorable metallogenic zone of a sandstone-type uranium deposit in a detailed survey-general survey stage, and the method comprises the steps: dividing research units; calculating the shale content; determining the specific range of the shale content average value and the shale content standard deviation of the favorable metallogenic zone of the research unit, and judging whether the research unit is the favorable metallogenic zone or not; and delineating a favorable area. According to the method, high-longitudinal-resolution shale content continuous information can be obtained through secondary interpretation of the logging information, exploration deployment can be effectively guided in combination with statistical analysis of the shale content and the mineralization probability, the logging information is creatively applied to interpret the shale content of the target interval, and the exploration deployment efficiency is improved. And in combination with parameters such as the proportion and the average value of the mudstone in the interval, accurate prediction of the favorable area is realized through comprehensive analysis. According to the method, the exploration cost can be effectively reduced, the exploration success rate is improved, and the method has high application value.

Description

Technical Field

[0001] The present invention belongs to the field of unconventional and new energy, and in particular relates to a method for delineating a favorable mineralization zone of sandstone-type uranium deposits in the detailed survey-general survey stage. Background Art

[0002] At present, a variety of technical means have been publicly published for the prediction methods of favorable mineralization belts of sandstone-type uranium deposits. In the patent "Method for bottom division of uranium-bearing target layers and prediction of sandstone-type uranium mineralization" applied for by the Beijing Research Institute of Geology of the Nuclear Industry in 2021, the stratigraphic division of the target layer was carried out by constructing a stratigraphic framework, and mineralization prediction was carried out by integrating various information analysis of the outcrop area, single well comprehensive column chart analysis, and sample analysis and testing methods; in the patent "A method for selecting favorable uranium-containing areas of sandstone-type uranium deposits based on uranium mineralization elements" applied for by the Beijing Research Institute of Geology of the Nuclear Industry in 2021, the uranium mineralization probability coefficient plane map was determined through the analysis of uranium source conditions and reservoir conditions, and then the favorable mineralization areas were selected; in the patent "A method and system for determining favorable areas of sandstone-type uranium ore sand bodies" applied for by the Beijing Research Institute of Geology of the Nuclear Industry in 2022, the distribution characteristics of the redox transition zone and the uranium ore sand bodies were comprehensively analyzed by calculating the electrical measurement data collected in the mineralization prospective area, and then the favorable area was delineated. ; In the patent "A method for evaluating target layers suitable for sandstone-type uranium prospecting" applied for by the Beijing Research Institute of Geology of the Nuclear Industry in 2022, the target layer sandstone and mudstone were divided into lithologic geochemical zones, and the mineralization environment and potential were evaluated in combination with analytical testing methods; In the patent "A method for predicting favorable zones of sandstone-type uranium deposits in oil-uranium superposition areas" applied for by the Beijing Research Institute of Geology of the Nuclear Industry in 2022, the favorable zones of sandstone-type uranium deposits in oil-uranium superposition areas were predicted through analysis of uranium source conditions and structural characteristics, combined with research on uranium mineralization information and application of gamma logging; In the patent "A method for quantitative prediction of sandstone-type uranium deposits based on comprehensive logging big data" applied for by the Tianjin Geological Survey Center of the China Geological Survey in 2022, a linear relationship between natural gamma logging data and core quantitative gamma data was established, and three lithology curves, three resistivity curves, and three porosity curves were used for comprehensive lithology judgment, thereby obtaining information on the grade of the ore layer, the amount of uranium per square meter, and the lithology of the ore-bearing section.

[0003] The above technologies use different means to predict the favorable mineralization zones of sandstone-type uranium deposits to varying degrees. Some technologies use logging data, but are limited to the division of lithology and the measurement of mineralization. In fact, for sandstone-type uranium deposits, the mudstone in the reservoir, whether its reduction effect or its influence on reservoir heterogeneity, controls the development of sandstone-type uranium deposits to a large extent. If the mud content of the target layer can be characterized, the favorable mineralization zones can be predicted more effectively. Core sampling analysis can accurately measure the mud content, but core sampling analysis is limited by limited data and cannot achieve continuous mud content information. In addition, the research cycle is long and the cost is high, and it cannot provide timely basis for fast-paced uranium exploration. Summary of the invention

[0004] In view of the above problems, the present invention proposes a method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed investigation and general survey stage, comprising:

[0005] Divide the study units;

[0006] Calculate the mud content;

[0007] Determine the specific range of the average value and standard deviation of the mud content of the favorable mineralization zone of the research unit, and judge whether the research unit is a favorable mineralization zone;

[0008] Identify favorable areas.

[0009] A further preferred technical solution is to divide the research unit, including confirming that the formation age of the strata in the research unit is unified and that there is no obvious change in the sedimentary phase of the strata in the vertical and horizontal directions in the research unit.

[0010] A further preferred technical solution is that the thickness of the research unit is 10-50m.

[0011] A further preferred technical solution is to calculate the mud content, including:

[0012] Select the calculation method;

[0013] Calculate the specific mud content.

[0014] A further preferred technical solution is: the calculation method includes:

[0015] Calculated using a normal gamma curve;

[0016] Calculated using resistivity curve;

[0017] Calculated using the uranium-free gamma curve.

[0018] A further preferred technical solution is to calculate the specific mud content, including:

[0019] Obtain the resistivity value R of the pure mudstone baselinesh ;

[0020] Simplified resistivity curve.

[0021] A further preferred technical solution is: the simplified resistivity curve formula is:

[0022] V sh =R sh / R

[0023] Among them, V sh represents the calculated mudstone volume content, R sh represents the resistivity value of pure mudstone baseline, and R represents resistivity.

[0024] A further preferred technical solution is that the resistivity curve represented by R can be a double lateral resistivity curve or R 2.5 , R 4.5 Any one of the curves.

[0025] Its further preferred technical solution is: R sh It is obtained through statistical analysis of the simplified resistivity curve to be applied and core logging data.

[0026] A further preferred technical solution is to determine the specific range of the average value and standard deviation of the mud content of the favorable mineralization zone of the research unit, and determine whether the research unit is a favorable mineralization zone, which specifically includes:

[0027] Select standard wells;

[0028] Counting the mud content of the standard wells, and the average difference and standard deviation of the mud content;

[0029] According to the average difference and standard deviation of the mud content in the standard wells, the specific range of the average mud content and the standard deviation of the mud content in the favorable mineralization zone is determined;

[0030] Statistical analysis of the mud content of each study unit;

[0031] Calculate the mean and standard deviation of the mud content of each study unit;

[0032] Determine whether the study unit is a favorable mineralization zone.

[0033] A further preferred technical solution is: to calculate the mud content of the standard well, SH RT The curve is statistically analyzed.

[0034] A further preferred technical solution is: the method for determining the specific range of the average value of the mud content and the standard deviation of the mud content in the favorable mineralization zone is as follows:

[0035] When the average value of mud content is between 0.16-0.38, or the standard deviation of mud content is between 0.05-0.18, it is mineral-bearing and is a favorable mineralization zone.

[0036] The further preferred technical solution is: in the statistical analysis of the mud content of each research unit, the statistical method is to apply SH RT The curve is statistically analyzed.

[0037] A further preferred technical solution is: the method for calculating the average value and standard deviation of the mud content of each research unit is to calculate through an Excel spreadsheet or well logging interpretation software.

[0038] A further preferred technical solution is to determine whether the research unit is a favorable mineralization zone by the following method: when the average mud content of each research unit is between 0.18-0.35, or the standard deviation is between 0.03-0.04, it can be determined that the research unit is mineral-bearing.

[0039] A further preferred technical solution is to delineate a favorable area, including:

[0040] Selecting research units belonging to favorable mineralization zones

[0041] Draw a plan view of the average values ​​of the mud content of the study units belonging to the favorable mineralization zone;

[0042] Plot the standard deviation of the mud content of the study units belonging to the favorable mineralization zone;

[0043] The plane diagram of the average mud content of the research unit is superimposed with the plane diagram of the standard deviation of the mud content of the research unit to delineate the favorable area.

[0044] A further preferred technical solution is: a method for drawing a plane diagram of the average mud content of the research unit belonging to the favorable mineralization zone is: drawing by interpolation method.

[0045] A further preferred technical solution is: a method for drawing a plane diagram of the standard deviation of the mud content of the research unit belonging to the favorable mineralization zone is: drawing it by interpolation method.

[0046] A further preferred technical solution is: when the average value of the mud content of each research unit is between 0.20-0.22, it can be determined that the research unit belongs to a favorable mineralization zone.

[0047] A further preferred technical solution is: when the average mud content of each research unit is between 0.20-0.22, and the standard deviation of the mud content is between 0.03-0.04, it can be determined that the research unit belongs to a favorable mineralization zone.

[0048] Beneficial effects of the present invention: The present invention can obtain continuous information on mud content with high vertical resolution through secondary interpretation of well logging data, and combined with statistical analysis of mud content and mineralization probability, it will effectively guide exploration deployment. The present invention innovatively uses well logging data to interpret the mud content of the target layer, and combines parameters such as the proportion of mudstone in the layer, average value, etc., to achieve accurate prediction of favorable areas through comprehensive analysis. This method can effectively reduce exploration costs, improve exploration success rate, and has high application value.

[0049] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1 A flow chart showing a method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage;

[0052] Figure 2 The corresponding relationship between the mud content and the natural gamma according to an embodiment of the present invention is shown;

[0053] Figure 3 The corresponding relationship between the shale content and the resistivity according to the embodiment of the present invention is shown, wherein the horizontal axis is the shale content and the left vertical axis is the resistivity;

[0054] Figure 4 shows a comprehensive interpretation diagram of a standard well according to an embodiment of the present invention;

[0055] Figure 5 The scope of the favorable mineralization zone preliminarily delineated by using the average value of the mud content according to an embodiment of the present invention is shown;

[0056] Figure 6 A plan view for delineating favorable mineralization zones according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] The main steps of the present invention are as follows Figure 1 As shown, the content of the present invention mainly uses the statistical analysis of mud content, and the method is based on the secondary interpretation of well logging data. In order to achieve quantitative characterization of prediction results, the division of research units must meet the following conditions:

[0059] 1. The same lithology should have the same logging curve change law and a certain value range, so that the mud content can be calculated with a unified standard. Therefore, it is necessary to ensure that the logging curve of the same lithology in the research unit has no obvious changes, that the formation age of the strata in each research unit is unified, and that the sedimentary phase of the strata in the research unit has no obvious changes in the vertical and horizontal directions.

[0060] 2. To ensure the reliability of the prediction results, the thickness of the research unit should not be too large or too small. If it is too large, the statistical results will include multiple sets of mineral-bearing aquifers, which will make the delineation range of the favorable area too large. If it is too small, the statistical results will be too limited, which will lead to the delineation range of the favorable area being too small. Therefore, the thickness of the research unit is generally not more than 50m and not less than 10m.

[0061] 2. Calculate the mud content

[0062] 1. Selection of calculation method. There are many methods to calculate the mud content using logging curves. The most commonly used method is to use the natural gamma curve for calculation. Other methods such as resistivity curve can also be used to calculate the mud content. In the research process of this invention, the reliability of different methods for mudstone identification was compared through rock physical analysis, such as Figure 2 , 3 As shown, Figure 2 As shown in the figure, when the natural gamma value is low, the natural gamma value and mud content in the study area show an obvious positive correlation. This is mainly because the ore-bearing section of the sandstone-type uranium deposit can obviously form an abnormally high value of the natural gamma curve. Therefore, the calculation of mud content based on the ordinary gamma curve is not applicable to the calculation of mud content in sandstone-type uranium reservoirs. The uranium-free gamma curve can avoid the influence caused by the radioactivity of the uranium-bearing section to a certain extent, and can also be used to calculate the mud content.

[0063] For most in-situ leachable sandstone uranium deposits, the ore-bearing layers are generally shallow (less than 500 m) and compaction and metamorphism are not obvious. Therefore, resistivity logging can better identify sandstone and mudstone, and can give full play to its high resolution advantage to improve the accuracy of calculation. Through rock physical analysis, such as Figure 3 As shown, it can be seen that the resistivity curve has an obvious correlation with the mud content and can also be used to calculate the mud content.

[0064] The effects of the two methods were compared during the study. Figure 4 It can be seen that the shale content curve SH calculated from the resistivity curve RT Compared with the shale content curve SH calculated from the uranium-free gamma curve GR With higher resolution, it is more effective in identifying the mud content in different lithologies, such as Figure 4 In the middle section of 378m-382m, there are mud-gravel fine sandstone, muddy fine sandstone and muddy siltstone from bottom to top. Different lithologies have different mud contents, but SH GR The curve shape is just a simple box, and SH RT The curve is funnel-shaped, which can more accurately reflect the changes in mud content.

[0065] 2. Calculation of mud content. In the present invention, only the relative value of mud content needs to be calculated. Therefore, the conventional formula for calculating mud content based on resistivity is appropriately simplified, and the following formula V is used: sh =R sh / R, where V sh represents the calculated mudstone volume content, Rsh represents the resistivity value of the pure mudstone baseline, and R represents resistivity. Curve calculation can be realized through logging interpretation software. The log module of GPT software of Beijing Jinyang Putai Petroleum Technology Co., Ltd. is used in this study. The resistivity curve represented by R can be a dual lateral resistivity curve or R 2.5 , R 4.5 Any line of the curve, Rs h It is obtained through statistical analysis of the resistivity curve to be applied and core logging data.

[0066] 3. Statistical analysis of the relationship between mud content and mineral content.

[0067] 1. Reliability of verification method. Theoretically, due to the reduction effect of mudstone and its influence on reservoir heterogeneity, there is an obvious correlation between the mud content in the reservoir and the scale of ore body development. Exploration practice also shows that when the mud content in the reservoir is too low or too high, the ore body is basically not developed. Only moderate mud content can play a positive role in the development of the ore body. However, in actual research, it is necessary to statistically analyze and verify the relationship between the mud content and mineralization in the study area. A typical well in the study area (with a relatively thick abnormal section, developed industrial ore layers, mineralized layers, and non-ore layers, and a relatively developed impermeable layer) was selected and SH was used. RT The following values ​​are obtained by curve statistics of the mud content of each research unit. The data can be statistically analyzed using Excel tables or logging interpretation software. In this study, the log module of the GPT software of Beijing Jinyang Putai Petroleum Technology Co., Ltd. was used. The average value of the mud content represents the overall mudstone content of the research unit, and the standard deviation can represent the interlayer of sandstone and mudstone to a certain extent. It is necessary to judge whether the average value and standard deviation of the mud content have an obvious corresponding relationship with the mineralization of each research unit. Too low or too high mud content, too many or too low sand-mud interlayers are not suitable for the formation of industrial mineral layers. If the statistical results show that the average value and standard deviation of the mud content of the industrial mineral layer are within an appropriate range, and the research units greater than or less than this range basically do not develop industrial mineral layers, it indicates that the mineralization of the region has an obvious corresponding relationship with the mud content.

[0068] 2. If the statistical analysis of typical wells proves that there is a corresponding relationship between the mud content and mineralization in the study area. Carry out statistics on the mud content of each research unit of the target layer of the exploration well in the work area, and further calculate the relationship between the overall mineralization of the work area and the mud content. Determine the specific range of the average mud content and the standard deviation of the mud content in the favorable mineralization zone in the study area. (It should be noted that in order to improve the research efficiency in the present invention, the calculation result of the mud content is only a relative value. Although it can reflect the high and low changes in the mud content, it cannot quantitatively reflect the mud content. The calculation result can only be used to delineate the scope of the favorable area.)

[0069] Example

[0070] 1. Division of Research Units

[0071] The target layer in the study area is the lower section of the Yaojia Formation, where braided river sedimentary facies are developed as a whole. Therefore, the division of research units only considers the development of the impermeable layer, and deducts the purple-red mudstone representing the oxidative environment, and is divided into 5 research units. The thickness of the research units is between 10m and 20m.

[0072] 2. Calculate the mud content

[0073] In this study, the resistivity curve was used to calculate the mud content. The formula V sh =Rsh / RT, where V sh represents the calculated mudstone volume content, R sh R represents the resistivity value of pure mudstone baseline, and RT represents the deep lateral resistivity curve. sh The deep lateral resistivity value representing the mudstone in the study area was 4.2 Ω·m by comparison with the core.

[0074] 3. Statistical analysis of the relationship between mud content and mineral content.

[0075] 1. Verify the reliability of the research method. Take Well 09-08 in the work area as the standard well to determine whether there is a corresponding relationship between the mud content and mineralization in the work area.

[0076] The target layer 350m-420m section belongs to the lower section of the Yaojia Formation, which has braided river sedimentary facies as a whole. Therefore, the research unit is divided into five research points by considering only the development of the aquiclude and excluding the purple-red mudstone of 390m-394m. RT The following values ​​are obtained by statistically analyzing the mud content of each research point, as shown in Table 1. It can be seen that the average value and standard deviation of the mud content have an obvious corresponding relationship with the mineralization of each research point.

[0077] Table 1 Correspondence between characteristic parameters of mud content and mineralization in standard wells

[0078]

[0079] 2. The mud content of each research unit of the target layer of 26 exploration wells in the work area was statistically analyzed, and the relationship between the overall mineralization of the work area and the mud content was further statistically analyzed, as shown in Table 2. The statistical results show that when the average mud content of the research unit is less than 0.18, no matter how much the standard deviation of the mud content is, there is almost no industrial mine; when 0.18 < average mud content < 0.35, mineralization and industrial ore layers are developed on a large scale; when 0.20 < average mud content < 0.22, and 0.04 < standard deviation of mud content < 0.03, the probability of industrial mines is the highest; when 0.35 < average mud content, the probability of mineralization is high, and industrial ore layers are also more developed, but the corresponding lithology is mainly mudstone or siltstone, which has no mining value, and therefore cannot be used as an evaluation standard for favorable areas.

[0080] Table 2 Corresponding relationship between mineral content and mud content in the study area

[0081]

[0082]

[0083] Based on the above statistical results, the range of the favorable mineralization zone in the study area is determined to be within the range of 0.20<average mud content<0.22, and at the same time satisfying 0.04<standard deviation of mud content<0.03.

[0084] 4. Identify favorable areas.

[0085] 1. Relative shale content curve SH calculated using RT curve, i.e. gamma curve or resistivity curve RT Under the constraint of the research unit, the average value of the relative mud content of the research unit is calculated, and the plane diagram of the average mud content of the research unit is drawn using the interpolation method. The plane diagram of the average mud content drawn in the research process of the present invention is as follows: Figure 5 As shown, the industrial mines are all developed in the range of average mud content between 0.20-0.22, which is consistent with the statistical results.

[0086] 2. Relative mud content curve SH calculated using RT curve RT Under the constraints of the research unit, the standard deviation of the relative mud content of the research unit is calculated, and the plane diagram of the standard deviation of the mud content of the research unit is drawn by interpolation method, and it is superimposed with the plane diagram of the average value drawn in the first step to delineate the final favorable area, such as Figure 6 As shown in the figure, the industrial wells in the study area are all developed in the range of 0.20 < average mud content < 0.22, 0.04 < standard deviation of mud content < 0.03, and the overlap further improves the accuracy of delineation of favorable mineralization zones. During the exploration process in the study area in 2022, this method was applied and deployed, and industrial mines with a uranium content of up to 9kg / m2 were discovered. The industrial ore-seeking rate increased from the previous 20% to 38%.

[0087] It should be noted that the terms "first", "second" etc. in the present application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged in appropriate circumstances, so that the embodiments of the present application described here. In the present application, the orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", "front", "back", "top", "bottom", "inside", "outside", "middle", "vertical", "horizontal", "lateral", "longitudinal" etc. are based on the orientation or positional relationship shown in the accompanying drawings.

[0088] Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent substitutions for some of the technical features therein; and these modifications or substitutions do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage, characterized in that: include: Divide the study units; Calculate the mud content; Determine the specific range of the mean value and standard deviation of the mud content of the favorable mineralization zone of the research unit, and judge whether the research unit is a favorable mineralization zone; Identify favorable areas.

2. The method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to claim 1, characterized in that: The division of the research units includes: confirming that the formation age of the strata within the research units is unified and that there is no obvious change in the sedimentary phases of the strata within the research units in the vertical and horizontal directions.

3. The method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to claim 1, characterized in that: The thickness of the studied unit is 10-50 m.

4. The method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to claim 1, characterized in that: The calculation of the mud content includes: Select the calculation method; Calculate the specific mud content.

5. The method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to claim 4, characterized in that: The calculation method includes: Calculated using a normal gamma curve; Calculated using resistivity curve; Calculated using the uranium-free gamma curve.

6. The method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to claim 4, characterized in that: The calculation of specific mud content includes: Obtain the resistivity value R of the pure mudstone baseline sh ; Simplified resistivity curve.

7. A method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to claim 6, characterized in that: The simplified resistivity curve formula is: V sh =R sh / R Among them, V sh represents the calculated mudstone volume content, R sh It represents the resistivity value of pure mudstone baseline, and R represents resistivity.

8. The method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to claim 7, characterized in that: The resistivity curve represented by R is a dual lateral resistivity curve or R 2.5 , R 4.5 Any one of the curves.

9. The method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to claim 7, characterized in that: The R sh It is obtained through statistical analysis of the simplified resistivity curve to be applied and core logging data.

10. The method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to claim 7, characterized in that: Determine the specific range of the average value and standard deviation of the mud content of the favorable mineralization zone of the research unit, and judge whether the research unit is a favorable mineralization zone, including: Select standard wells; Counting the mud content of the standard wells, and the average difference and standard deviation of the mud content; According to the average difference and standard deviation of the mud content in the standard wells, the specific range of the average mud content and the standard deviation of the mud content in the favorable mineralization zone is determined; Statistical analysis of the mud content of each study unit; Calculate the mean and standard deviation of the mud content of each study unit; Determine whether the study unit is a favorable mineralization zone.

11. A method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to claim 10, characterized in that: The shale content of the standard well should be calculated using SH RT The curve is statistically analyzed.

12. A method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to claim 10, characterized in that: The method for determining the specific range of the average value and standard deviation of the mud content in the favorable mineralization zone is as follows: When the average value of mud content is between 0.16-0.38, or the standard deviation of mud content is between 0.05-0.18, it is mineral-bearing and is a favorable mineralization zone.

13. A method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to claim 10, characterized in that: The statistical method for calculating the mud content of each research unit is to apply SH RT The curve is statistically analyzed.

14. A method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to claim 10, characterized in that: The method for calculating the mean value and standard deviation of the mud content of each study unit is to use Excel spreadsheet or well logging interpretation software.

15. The method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey and general survey stage according to claim 10, characterized in that: The method for determining whether the research unit is a favorable mineralization zone is as follows: when the average value of the mud content of each research unit is between 0.18-0.35, or the standard deviation is between 0.03-0.04, it can be determined that the research unit is mineral-bearing.

16. A method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to any one of claims 1 to 15, characterized in that: The delineated favorable area includes: Select the study units belonging to the favorable mineralization belt; Draw a plan view of the average values ​​of the mud content of the study units belonging to the favorable mineralization zone; Plot the standard deviation of the mud content of the study units belonging to the favorable mineralization zone; The plane diagram of the average mud content of the research unit is superimposed with the plane diagram of the standard deviation of the mud content of the research unit to delineate the favorable area.

17. A method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to claim 16, characterized in that: The method for drawing a plan view of the average mud content of the research unit belonging to the favorable mineralization zone is: drawing by interpolation method.

18. A method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to claim 16, characterized in that: The method for drawing a plane diagram of the standard deviation of the mud content of the research unit belonging to the favorable mineralization zone is: drawing it by interpolation method.

19. A method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey-general survey stage according to claim 10, characterized in that: When the average value of the mud content of each research unit is between 0.20-0.22, it can be determined that the research unit belongs to a favorable mineralization zone.

20. The method for delineating favorable mineralization zones of sandstone-type uranium deposits in the detailed survey and general survey stage according to claim 10, characterized in that: When the average value of the mud content of each research unit is between 0.20-0.22, and the standard deviation of the mud content is between 0.03-0.04, it can be determined that the research unit belongs to a favorable mineralization zone.

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