Method for determining uranium ore metallogenic zone by using content of residual organic matters in detailed survey and exploration

Abstract

The invention relates to a method for determining a uranium ore metallogenic zone by using residual organic matter content in detailed survey and exploration. The method comprises the following steps: determining a background value domain of the residual organic matter content of the uranium ore metallogenic zone in a research target interval in a target area; calculating the residual organic matter content in at least one first single well in the target area to obtain a first residual organic matter content calculation value; determining actual residual organic matter content values of all single wells in the target area based on the first residual organic matter content calculated values; and determining a favorable uranium ore metallogenic zone in the research target interval based on the actual value of the residual organic matter content and the background value domain. According to the method, logging information is creatively utilized to calculate the content of residual organic matters in a research target interval, and a new favorable area prediction method is established in a well area through correction of experimental data and comprehensive geological analysis. By means of the method, the favorable metallogenic zone can be delineated under the condition of no coring, the exploration cost is effectively reduced, and the exploration success rate is increased.

Description

Technical Field

[0001] The present invention belongs to the field of unconventional and new energy, and relates to a method for determining a favorable mineralization zone of sandstone-type uranium deposits by applying well logging curve calculation, sedimentary phase analysis and comprehensive research on uranium mineralization conditions, and specifically relates to a method for determining a uranium mineralization zone by using residual organic matter content in detailed exploration. Background Art

[0002] A variety of technical means have been published for predicting favorable mineralization zones of sandstone-type uranium deposits. In the patent "A method for selecting favorable uranium-containing areas of sandstone-type uranium deposits based on uranium mineralization factors" applied for by the Beijing 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 deposits" applied for by the Beijing Institute of Geology of the Nuclear Industry in 2022, the electric field collected in the mineralization prospecting area was calculated. The data were measured and the distribution characteristics of the redox transition zone and uranium sand bodies were comprehensively analyzed to complete the delineation of favorable areas; in the patent "A method for evaluating target layers suitable for sandstone-type uranium prospecting" applied for by the Beijing Institute of Geology of the Nuclear Industry in 2022, the target layer sandstone and mudstone were divided into lithological geochemical zones, and the mineralization environment and potential were evaluated by combining 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 Institute of Geology of the Nuclear Industry in 2022, the uranium source conditions were evaluated. , structural characteristics, combined with the study of uranium mineralization information and the application of gamma logging, predicted the favorable zones of sandstone-type uranium deposits in the oil-uranium superposition area; in 2007, "Uranium Geology" published the mineralization characteristics and mineralization model of the Qianjiadian uranium deposit in the Songliao Basin by Luo Yi et al.; in 2018, "Earth Science" published the dual reduction medium model and its joint ore-control mechanism of sandstone-type uranium deposits such as Jiaoyangquan: and also discussed the Daying and Qianjiadian uranium deposits; in 2005, Luo Zhiming explained the application of comprehensive logging in the exploration of in-situ leaching sandstone uranium deposits in western Yunnan in his master's thesis; In 2020, "Xinjiang Geology" published the relationship between organic carbon, sulfur and uranium mineralization in the upper part of the Xishanyao Formation in the Kosgar area of ​​the Ili Basin by Chen Hong et al.; "Petroleum Experimental Geology" by Li Hongtao et al. published the geochemical characteristics and source discussion of hydrocarbons in the sandstone of the Yaojia Formation in the Qianjiadian Depression of the Kailu Basin; "Non-ferrous Metals (Mining Part)" by Cao Huifeng et al. published the characteristics of organic matter in the ore-bearing sand bodies of the Shuanglong uranium mine in the southeastern margin of the Ordos Basin and its relationship with uranium mineralization in 2020; "Uranium Geology" by Yin Jinshuang et al. published microorganisms, organic matter, oil and gas and sandstone-type uranium deposits in 2005.

[0003] The above methods discuss the application of various technical means in uranium exploration and the law of organic matter changes in uranium mineralization belts. Some technologies use logging data, including the changes and laws of the response characteristics of different lithologies on logging, accurately locate the vertical position of uranium development, and study the application of uranium mineralization in the mineralization environment and mineralization laws, but there are the following limitations:

[0004] ①Although the application of logging technology can meet the determination of different lithologies, the research mainly evaluates the corresponding characteristics of various logging curves that are conducive to mineralization, and no further calculation and analysis of various curves are applied; ②The residual organic matter content is an important indicator for finding favorable mineralization zones. Previous studies mainly obtained the organic matter content index through core experiments and established its corresponding relationship with uranium mineralization zones;

[0005] After a series of investigations, the data length of the remaining organic matter content obtained through experiments is short, the experimental cycle is long, the cost is high, and it has certain limitations. In addition, some wells have not been cored, which makes it difficult to meet the needs of rapid deployment, but the experimental data is relatively accurate and reliable. The remaining organic matter content can be obtained through secondary interpretation and calculation of logging data, but the calculation results are low in accuracy and large in error due to the influence of calculation formulas and parameters.

[0006] Based on this, the existing technology still needs to be improved. Summary of the invention

[0007] The present invention innovatively uses logging data to calculate the residual organic matter content of the target layer, and establishes a new method for predicting favorable areas in well-existing areas through correction of experimental data and comprehensive geological analysis.

[0008] Specifically, the present invention provides a method for determining a uranium mineralization zone by using residual organic matter content in detailed exploration, which comprises the following steps: determining a background value range of the residual organic matter content of the uranium mineralization zone in a target layer segment in a target area; calculating the residual organic matter content in at least one first single well in the target area to obtain a first residual organic matter content calculation value; determining the actual value of the residual organic matter content of all single wells in the target area based on the first residual organic matter content calculation value; and determining a favorable uranium mineralization zone in the target layer segment based on the actual value of the residual organic matter content and the background value range.

[0009] In some embodiments, the method is applicable to determining sandstone-type uranium mineralization zones.

[0010] In some embodiments, the target area includes multiple single wells, and the multiple single wells include the first single well; the research target layer segment includes multiple research units divided along the depth direction of the research target layer segment, and different parts of the multiple research units in the horizontal direction are respectively located in the corresponding single wells.

[0011] In some embodiments, the thickness of each of the study units is between 5 meters and 30 meters.

[0012] In some embodiments, the first single well is a single well after coring.

[0013] In some embodiments, the method further comprises the following step: obtaining experimental values ​​of residual organic matter content in a plurality of research units of at least one first single well.

[0014] In some embodiments, the step of determining the background value range of the residual organic matter content of the uranium mineralization zone in the research target layer section in the target area includes: determining the background value range of the residual organic matter content of the uranium mineralization zone in the research target layer section in the target area based on the experimental value of the residual organic matter content.

[0015] In some embodiments, the background value range is determined by the following formula 1:

[0016] E={A..B} Formula 1

[0017] Among them, E represents the background value range of the residual organic matter content of the uranium mineralization belt in the target layer in the target area; A represents the minimum average value of the residual organic matter content of the uranium ore in the target layer in the target area; B represents the maximum average value of the residual organic matter content of the uranium ore in the target layer in the target area.

[0018] In some embodiments, the minimum average value of the remaining organic matter content of the uranium ore in the target layer section of the target area is determined by the following formula 2, and the maximum average value of the remaining organic matter content of the uranium ore in the target layer section of the target area is determined by the following formula 3:

[0019] A=(a1+a2+a3+......+a n ) / n Formula 2

[0020] B=(b1+b2+b3+......+b n ) / n Formula 3

[0021] Among them, a represents the minimum value of the remaining organic matter content in a single well uranium mine; b represents the maximum value of the remaining organic matter content in a single well uranium mine; and n represents the number of wells.

[0022] In some embodiments, the minimum value of the remaining organic matter content of the single-well uranium ore is the minimum value of the remaining organic matter content of the uranium ore in multiple research units within the single well, and the maximum value of the remaining organic matter content of the single-well uranium ore is the maximum value of the remaining organic matter content of the uranium ore in multiple research units within the single well.

[0023] In some embodiments, the step of determining the actual value of the residual organic matter content of all single wells in the target area based on the first residual organic matter content calculation value includes: fitting the first residual organic matter content calculation value with the residual organic matter content experimental value to obtain a fitting relationship represented by the following formula 4:

[0024] y = a'x 2 - b'x + c Formula 4

[0025] Among them, y represents the experimental value of the residual organic matter content; x represents the first calculated value of the residual organic matter content; a', b', c represent unknown coefficients.

[0026] In some embodiments, the fitting relationship and the values ​​of the undetermined coefficients are obtained by fitting software.

[0027] In some embodiments, the step of determining the actual value of the remaining organic matter content of all single wells in the target area based on the first calculated value of the remaining organic matter content further includes: calculating the remaining organic matter content in at least one second single well in the target area to obtain a second calculated value of the remaining organic matter content; and calculating the actual value of the remaining organic matter content of all single wells in the target area through the fitting relationship and based on the second calculated value of the remaining organic matter content, wherein the second calculated value of the remaining organic matter content is substituted into the x value in the fitting relationship, and the calculated y value is the actual value of the remaining organic matter content of all single wells in the target area.

[0028] In some embodiments, the second single well is a single well that has not been cored.

[0029] In some embodiments, the first single well is a single well having a corresponding experimental value of the residual organic matter content, and the second single well is a single well not having a corresponding experimental value of the residual organic matter content.

[0030] In some embodiments, the step of calculating the remaining organic matter content in at least one first single well in the target area to obtain a first remaining organic matter content calculation value includes: calculating the remaining organic matter content in at least one first single well in the target area through a logging curve to obtain a first remaining organic matter content calculation value.

[0031] In some embodiments, the logging curves include sonic transit time and resistivity curves.

[0032] In some embodiments, the step of determining the favorable uranium mineralization zone within the target layer segment for research based on the actual value of the remaining organic matter content and the background value range includes: drawing a plan view of the remaining organic matter content within the target layer segment for research based on the actual value of the remaining organic matter content by a predetermined algorithm; and delineating the favorable uranium mineralization zone in the plan view based on the background value range.

[0033] In some embodiments, the predetermined algorithm comprises an interpolation algorithm.

[0034] In some embodiments, the plan view is drawn by geological mapping software.

[0035] The method described in the present invention uses the GeoEast software application in geophysical exploration for logging analysis and calculation, as well as data fitting and interpolation to achieve a new method for predicting favorable mineralization zones of sandstone-type uranium deposits. The method can delineate favorable mineralization zones without coring, effectively reduce exploration costs, and improve exploration success rates, and has high application value.

[0036] The method described in the present invention has been applied to a certain ore deposit in Qianjiadian, and good results have been achieved. In 2022, the method of the present invention was applied to predict favorable mineralization zones, and the success rate of exploration wells in the research area was increased from the original 32% to 48%, and the newly added resources exceeded 1,000 tons. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A flow chart showing a method for determining a uranium mineralization zone by using residual organic matter content in detailed exploration according to an embodiment of the present invention is shown;

[0038] Figure 2 A flow chart showing a method for determining a uranium mineralization zone by using residual organic matter content in detailed exploration according to another embodiment of the present invention is shown;

[0039] Figure 3 The effect diagram of calculating organic matter content by logging curve is shown;

[0040] Figure 4 The corresponding relationship between the experimental value and the calculated value of the residual organic matter content is shown;

[0041] Figure 5 The interpolation calculation effect diagram of the remaining organic matter content is shown; and

[0042] Figure 6 The predicted plan view of the favorable mineralization area is shown. DETAILED DESCRIPTION

[0043] It should be understood that the embodiments of the present invention shown in the exemplary embodiments are only illustrative. Although only a few embodiments are described in detail in the present invention, it is easy for those skilled in the art to appreciate that multiple modifications are feasible without actually departing from the teaching of the subject matter of the present invention. Accordingly, all such modifications should be included within the scope of the present invention. Without departing from the gist of the present invention, other replacements, modifications, changes and deletions may be made to the design, operating conditions and parameters of the following exemplary embodiments.

[0044] Studies have shown that areas where sandstone-type uranium deposits are enriched usually have two characteristics: one is that they contain rich reducing media, and the other is that the heterogeneity of the reservoir changes. The organic matter contained in the reservoir acts as a reducing agent and plays an important reducing role in uranium mineralization. Therefore, the purpose of the present invention is to use logging data for secondary interpretation and calculation on the premise of finely dividing the mineralization units, and combine experimental data to accurately describe the residual organic matter content of each mineralization unit in the target layer, form a variety of plane maps with different characteristics through drawing software, and conduct comprehensive geological research to delineate the distribution range of favorable mineralization locations on the plane, thereby guiding scientific deployment.

[0045] The present invention combines logging curve calculation analysis, sedimentary phase analysis and comprehensive evaluation of mineralization conditions into one technical means, and through its application, the favorable mineralization position of uranium deposits with sandstone as the main reservoir can be accurately delineated.

[0046] Specifically, the present invention provides a method 100 for determining a uranium mineralization zone using residual organic matter content in detailed exploration, such as Figure 1 As shown, the following steps are included:

[0047] S1. Determine the background range of residual organic matter content in the uranium mineralization belt within the target layer in the target area;

[0048] S2, calculating the residual organic matter content in at least one first single well in the target area to obtain a first residual organic matter content calculation value;

[0049] S3, determining the actual value of the remaining organic matter content of all the single wells in the target area based on the first calculated value of the remaining organic matter content; and

[0050] S4. Determine the favorable uranium mineralization zone within the target layer based on the actual value of the remaining organic matter content and the background value range.

[0051] In some embodiments, method 100 is applicable to determining a sandstone-type uranium mineralization belt. In a sedimentary basin, the formation and development of sandstone-type uranium deposits requires sufficient reducing medium, and the main components of the reducing medium are organic matter and a small amount of pyrite. Therefore, for the exploration of sandstone-type uranium deposits, accurate evaluation and research of the residual organic matter content is one of the important signs of prospecting.

[0052] In some embodiments, the target area may be a work area of ​​a uranium mineralization belt to be determined, and the target area may include a plurality of single wells distributed in the target area. In addition, at least one target layer segment may be selected in the target area as needed, and a plurality of single wells may be set in the area where the target layer segment is located. The target layer segment is the same stratum with a unified formation era and no significant change in sedimentary phase. The target layer segment may include a plurality of research units (also referred to as mineralization units) divided along its depth direction, and different parts of each of the plurality of research units in the horizontal direction may be located in the corresponding single well. The thickness of the research unit needs to be moderate. If the thickness is too large, the delineation range of the favorable area will be too large due to the inclusion of multiple sets of mineral-bearing layers in the statistical results. If the thickness is too small, the delineation range of the favorable area will be too small due to the excessive limitation of the statistical results. Therefore, the thickness of each research unit may be between 5 meters and 30 meters. Method 100 may consider the residual organic matter content in the same layer segment and the same research unit in multiple single wells, and determine the uranium mineralization belt based on these residual organic matter contents, as described in other parts of this application.

[0053] For ease of explanation, the multiple single wells in the target area can be roughly divided into two categories. The first category is single wells with corresponding experimental values ​​of residual organic matter content, for example, single wells that have been cored and collected through laboratory data. This type of single well is referred to as the first single well in this application; the second category is single wells that do not have corresponding experimental values ​​of residual organic matter content due to various reasons, for example, single wells that have not been cored. This type of single well is referred to as the second single well in this application. The method 100 described in this application uses the experimental value of the residual organic matter content of the first single well to calibrate the calculated value of the residual organic matter content, thereby obtaining a fitting formula, and then calculating the actual value of the residual organic matter content of the second single well based on the fitting formula, thereby obtaining the actual value of the residual organic matter content of all single wells in the target area, as described in other parts of this application. In this way, without coring the second single well, the favorable mineralization zone is delineated, the exploration cost is effectively reduced, and the exploration success rate is improved.

[0054] In some embodiments, method 100 may further include the following steps: obtaining experimental values ​​of the residual organic matter content in multiple research units of at least one first single well. The experimental values ​​of the residual organic matter content may include the maximum and minimum values ​​of the residual organic matter content in multiple research units of the first single well. As needed, the experimental values ​​of the residual organic matter content in multiple research units of almost all the first single wells in the target area may be obtained, thereby providing complete experimental data support for establishing the value range of the residual organic matter content in the uranium mineralization belt. The specific method for obtaining experimental data on the residual organic matter content for a single well by laboratory methods is well known to those skilled in the art and will not be repeated here.

[0055] In some embodiments, step S1 includes: determining the background value range of the residual organic matter content in the uranium mineralization belt within the target layer section of the target area based on the experimental value of the residual organic matter content.

[0056] In some embodiments, the background value range may be determined by the following formula 1:

[0057] E={A..B} Formula 1

[0058] Among them, E represents the background value range of the residual organic matter content of the uranium mineralization belt in the target layer in the target area; A represents the minimum average value of the residual organic matter content of the uranium ore in the target layer in the target area; B represents the maximum average value of the residual organic matter content of the uranium ore in the target layer in the target area.

[0059] In some embodiments, the minimum average value of the remaining organic matter content of the uranium ore in the target layer section in the target area can be determined by the following formula 2, and the maximum average value of the remaining organic matter content of the uranium ore in the target layer section in the target area can be determined by the following formula 3:

[0060] A=(a1+a2+a3+......+a n ) / n Formula 2

[0061] B=(b1+b2+b3+......+b n ) / n Formula 3

[0062] Among them, a represents the minimum value of the remaining organic matter content in a single well uranium mine; b represents the maximum value of the remaining organic matter content in a single well uranium mine; and n represents the number of wells.

[0063] In some embodiments, the minimum value of the remaining organic matter content of the single-well uranium ore is the minimum value of the remaining organic matter content of the uranium ore in multiple research units within the single well, and the maximum value of the remaining organic matter content of the single-well uranium ore is the maximum value of the remaining organic matter content of the uranium ore in multiple research units within the single well.

[0064] In some embodiments, step S3 includes: fitting the first calculated value of the residual organic matter content with the experimental value of the residual organic matter content to obtain a fitting relationship represented by the following formula 4:

[0065] y = a'x 2 - b'x + c Formula 4

[0066] Among them, y represents the experimental value of the residual organic matter content; x represents the first calculated value of the residual organic matter content; a', b', c represent unknown coefficients.

[0067] In some embodiments, the fitting relationship and the values ​​of the undetermined coefficients are obtained by fitting software. The fitting software may include Excel or other software that can achieve the fitting of calculated values ​​and experimental values.

[0068] In some embodiments, step S3 also includes: calculating the residual organic matter content in at least one second single well in the target area to obtain a second residual organic matter content calculation value; and calculating the actual value of the residual organic matter content of all single wells in the target area through the fitting relationship and based on the second residual organic matter content calculation value, wherein the second residual organic matter content calculation value is substituted into the x value in the fitting relationship, and the calculated y value is the actual value of the residual organic matter content of all single wells in the target area.

[0069] In some embodiments, step S2 includes: calculating the residual organic matter content in at least one first single well in the target area through a well logging curve to obtain a first residual organic matter content calculation value.

[0070] In some embodiments, the logging curves include sonic transit time and resistivity curves.

[0071] It should be understood that the second calculated value of the remaining organic matter content can be calculated in a similar manner to the first calculated value of the remaining organic matter content, and the specific steps of calculating the remaining organic matter content through the logging curve are well known to those skilled in the art and will not be repeated here.

[0072] In some embodiments, step S4 includes: drawing a plan view of the remaining organic matter content in the target layer segment through a predetermined algorithm based on the actual value of the remaining organic matter content; and delineating a favorable uranium mineralization zone in the plan view based on the background value range.

[0073] In some embodiments, the predetermined algorithm comprises an interpolation algorithm.

[0074] In some embodiments, the plan view is drawn by geological mapping software.

[0075] Reference below Figure 2 , which shows a flow chart of a method for determining uranium mineralization zones using residual organic matter content in detailed exploration according to another embodiment of the present invention.

[0076] First, we calculated the background range based on the experimental organic matter content:

[0077] The experimental data of the residual organic matter content of the same layer of multiple single wells in the work area are statistically analyzed, and the statistical data are shown in Table 1. Table 1 shows multiple single wells, for example, different single wells are marked with A9, A172, A173, L123, etc., and the numbers after "-" can represent different research units in the single well. The actual value of the residual organic matter content obtained can be characterized by mass percentage (%).

[0078] Appendix 1 Determination of background value range of organic matter content in uranium mineralization belt

[0079]

[0080] Based on these experimental data, the range of residual organic matter content in the uranium mineralization belt is established, and the formula is as follows:

[0081] E={A..B}Formula 1

[0082] A=(a1+a2+a3+......+a n ) / nFormula 2

[0083] B=(b1+b2+b3+......+b n ) / nFormula 3

[0084] In the formula: E represents the background value range of uranium mineralization belt; A represents the minimum average value of uranium organic matter content; B represents the maximum average value of uranium organic matter content; a represents the minimum value of uranium organic matter content in a single well; b represents the maximum value of uranium organic matter content in a single well; n represents the number of wells.

[0085] Then, the logging organic matter content is calculated based on the logging curve:

[0086] The present invention uses GeoRock module in GeoEast software of Oriental Geophysical Company to calculate the residual organic matter content through acoustic wave time difference and resistivity curve, such as Figure 3 As shown. Due to the influence of multiple parameter factors of the software, the calculated value will have errors with the experimental value, so it is necessary to fit the experimental data and calculated values ​​of multiple wells to obtain the fitting relationship. The specific steps are as follows:

[0087] 1. Fitting organic matter formula: The residual organic matter content of multiple single wells with experimental data (e.g., the first single well described in this application) is calculated using GeoEast software, and the relationship between the experimental value and the calculated value is fitted using Excel software, such as Figure 4 As shown, we get the relationship:

[0088] y = a'x 2 – b'x + c Formula 4

[0089] In the formula: y represents the organic matter content of a single well experiment; x represents the calculated organic matter content of a single well; a', b', c represent several unknown coefficients.

[0090] exist Figure 4 In the embodiment shown, a'=0.023, b'=0.333, c=2.6765, resulting in y=0.023x 2 –0.333x+2.6765.

[0091] 2. Fitting organic matter content: Although the experimental period is long and the cost is high, the experimental data has a small error and is closer to the true ratio of the residual organic matter content in the formation. Here, the experimental value can be considered equal to the true value of the formation. Therefore, on the one hand, the actual value of the residual organic matter content of this part of the single well can be directly obtained through the residual organic matter content of the single well with experimental data (for example, the first single well described in this application); on the other hand, due to the commonality of the residual organic matter content in the same work area, different single wells in the same work area can be applied to the above fitting relationship. Therefore, GeoEast software can be used to calculate the residual organic matter content of a single well with only a logging curve (for example, the second single well described in this application), and substitute it into (x) in the above formula, and through y=0.023x 2 –0.333x+2.6765 calculates the true ratio (y) of the remaining organic matter content of these wells in the target layer, thereby obtaining the actual value of the remaining organic matter content of all wells in the entire work area.

[0092] Finally, make a favorable area prediction:

[0093] 1. Interpolation mapping: In the work area, through the above calculations, the true value of the residual organic matter content (y) of the target layer of all wells in the work area is obtained. Through interpolation operations, a plane map of the residual organic matter content in the study area is drawn (this method can be realized through conventional geological mapping software, such as the map module of GPT software of Beijing Jinyang Putai Petroleum Technology Co., Ltd.), such as Figure 5 As shown. Figure 5In the figure, the curve line represents the residual organic matter content curve, the black point represents the non-ore-forming area, the blue point represents the area with certain display but not meeting the ore-forming standard, the yellow point and the red point represent the ore-forming area, and the uranium content of the red point is higher than that of the yellow point. When delineating the favorable uranium mineralization belt, the favorable uranium mineralization belt usually includes yellow points and red points, a small amount of blue points, but generally does not include black points.

[0094] 2. Prediction of favorable mineralization belts: Figure 5 In the interpolation diagram shown, the favorable uranium mineralization belt is delineated according to the range of the residual organic matter content value range E of the favorable mineralization belt in Formula 1. For example, in the case of E = {0.011, 0.082} obtained based on Table 1, the residual organic matter content curve of 0.011 is searched as the lower limit and the residual organic matter content curve of 0.082 is searched as the upper limit, and the following is obtained: Figure 6 The brown area shown is the favorable uranium mineralization belt.

[0095] The technical solution of the present application is further described below by a specific embodiment:

[0096] Example

[0097] The method described in the present invention is applied to the exploration of a sandstone-type uranium deposit in the north. The exploration degree of this deposit is relatively high, there are many exploration wells, and the logging series is complete. The method of the present invention was successfully applied in the exploration in 2022, and significant results were obtained. The specific implementation steps are as follows:

[0098] Step 1: Through the experimental data of the core well section in this area, and using Formula 1, the organic matter background value range (E) of the uranium mineralization belt is established. The residual organic matter content of each research unit of the target layer of 45 exploration wells in the work area is statistically analyzed. The statistical results show that when the residual organic matter content value of the research unit is less than 0.01, industrial mines are almost not developed; when 0.01 < residual organic matter content < 0.082, mineralization and industrial ore layers are developed on a large scale; when 0.082 > residual organic matter content, the probability of the occurrence of mineralized layers is high, and industrial ore layers are also more developed, but the corresponding lithology is mainly mudstone or siltstone, which has no mining value, so it cannot be used as an evaluation standard for favorable areas. Based on the above statistical results, the range of the favorable mineralization belt in the study area is determined to be 0.01 < residual organic matter content < 0.082.

[0099] Step 2: Use GeoEast software to calculate the organic matter content (x) of a single well with experimental data using well logging data, and correct the remaining organic matter content using Formula 4 to obtain the true value (y) of the organic matter content of all wells in the work area.

[0100] Step 3: On the plane, interpolate the residual organic matter content (y) of all wells to form a graph ( Figure 5 ), and then accurately delineate the favorable area according to the range (E) obtained in step 1 ( Figure 6 ).

[0101] This example successfully applied the method of the present invention to a certain ore deposit in Qianjiadian, and achieved good results. In 2022, the method of the present invention was applied in combination with other prediction technologies and means to predict favorable mineralization zones, and an industrial mine with a uranium content of up to 9kg / m2 was discovered. The industrial ore-seeking rate was increased from 36% to 45%, saving 50,000 yuan in experimental costs.

[0102] The above description is only a preferred embodiment of the present invention and is not intended to limit the scope of implementation of the present invention. If the present invention is modified or replaced by equivalents without departing from the spirit and scope of the present invention, it should be included in the protection scope of the claims of the present invention.

Claims

1. A method for determining uranium mineralization zones using residual organic matter content in detailed exploration, characterized in that: The following steps are involved: Determine the background range of residual organic matter content in the uranium mineralization zone within the target layer of the target area; Calculating the residual organic matter content in at least one first single well in the target area to obtain a first residual organic matter content calculation value; Determine the actual value of the remaining organic matter content of all the single wells in the target area based on the first calculated value of the remaining organic matter content; as well as Based on the actual value of the remaining organic matter content and the background value range, the favorable uranium mineralization zone in the target layer is determined.

2. The method according to claim 1, characterized in that The method is suitable for determining sandstone-type uranium mineralization zones.

3. The method according to claim 1, characterized in that The target area includes multiple single wells, and the multiple single wells include the first single well; the research target layer segment includes multiple research units divided along the depth direction of the research target layer segment, and different parts of the multiple research units in the horizontal direction are respectively located in the corresponding single wells.

4. The method according to claim 3, characterized in that The thickness of each of the studied units ranged from 5 to 30 meters.

5. The method according to claim 3, characterized in that: The first single well is a single well after coring.

6. The method according to claim 3, characterized in that Further comprising the steps of: Acquire experimental values ​​of the remaining organic matter content in a plurality of research units of at least one first single well.

7. The method according to claim 6, characterized in that The step of determining the background value range of the residual organic matter content of the uranium mineralization belt in the target layer section in the target area includes: Based on the experimental value of the residual organic matter content, the background value range of the residual organic matter content in the uranium mineralization belt in the research target layer section in the target area is determined.

8. The method according to claim 7, characterized in that The background value range is determined by the following formula 1: E={A..B} Formula 1 Among them, E represents the background value range of the residual organic matter content of the uranium mineralization belt in the target layer in the target area; A represents the minimum average value of the residual organic matter content of the uranium ore in the target layer in the target area; B represents the maximum average value of the residual organic matter content of the uranium ore in the target layer in the target area.

9. The method according to claim 8, characterized in that The minimum average value of the remaining organic matter content of the uranium ore in the target layer section of the target area is determined by the following formula 2, and the maximum average value of the remaining organic matter content of the uranium ore in the target layer section of the target area is determined by the following formula 3: A=(a1+a2+a3+......+a n ) / n Formula 2 B=(b1+b2+b3+......+b n ) / n Formula 3 Among them, a represents the minimum value of the remaining organic matter content in a single well uranium mine; b represents the maximum value of the remaining organic matter content in a single well uranium mine; and n represents the number of wells.

10. The method according to claim 9, characterized in that The minimum value of the remaining organic matter content of the single-well uranium ore is the minimum value of the remaining organic matter content of the uranium ore in multiple research units within the single well, and the maximum value of the remaining organic matter content of the single-well uranium ore is the maximum value of the remaining organic matter content of the uranium ore in multiple research units within the single well.

11. The method according to claim 6, characterized in that The step of determining the actual value of the remaining organic matter content of all the single wells in the target area based on the first calculated value of the remaining organic matter content comprises: The first calculated value of the residual organic matter content is fitted with the experimental value of the residual organic matter content to obtain a fitting relationship represented by the following formula 4: y = a'x 2 - b'x + c Formula 4 Among them, y represents the experimental value of the residual organic matter content; x represents the first calculated value of the residual organic matter content; a', b', c represent unknown coefficients.

12. The method according to claim 11, characterized in that The fitting relationship and the values ​​of the unknown coefficients are obtained by fitting software.

13. The method according to claim 12, characterized in that The step of determining the actual value of the remaining organic matter content of all the single wells in the target area based on the first calculated value of the remaining organic matter content further includes: Calculating the residual organic matter content in at least one second single well in the target area to obtain a second residual organic matter content calculation value; and Calculate the actual value of the remaining organic matter content of all the single wells in the target area by using the fitting relationship and based on the second calculated value of the remaining organic matter content, The second calculated value of the residual organic matter content is substituted into the x value in the fitting relationship, and the calculated y value is the actual value of the residual organic matter content of all single wells in the target area.

14. The method according to claim 13, characterized in that The second single well is a single well that has not been cored.

15. The method according to claim 13, characterized in that The first single well is a single well having a corresponding experimental value of the residual organic matter content, and the second single well is a single well not having a corresponding experimental value of the residual organic matter content.

16. The method according to claim 1, characterized in that The step of calculating the residual organic matter content in at least one first single well in the target area to obtain a first residual organic matter content calculation value comprises: The residual organic matter content in at least one first single well in the target area is calculated by using the well logging curve to obtain a first residual organic matter content calculation value.

17. The method according to claim 16, characterized in that The logging curve includes an acoustic wave time difference and a resistivity curve.

18. The method according to claim 1, characterized in that The step of determining the favorable uranium mineralization zone in the target layer based on the actual value of the remaining organic matter content and the background value range comprises: Draw a plan view of the residual organic matter content in the target layer according to a predetermined algorithm and based on the actual value of the residual organic matter content; and Based on the background value range, a favorable uranium mineralization zone is delineated in the plan view.

19. The method according to claim 18, characterized in that The predetermined algorithm includes an interpolation algorithm.

20. The method according to claim 18, characterized in that The plan is drawn using geological mapping software.

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