Method and system for identifying sandstone-type uranium ore enrichment zone

Abstract

This invention provides a method and system for identifying sandstone-type uranium enrichment zones, belonging to the field of mineral resource evaluation technology. The method includes: performing secondary interpretation on well logging data to obtain corresponding key parameters; establishing geochemical environment maps, calcareous sandstone identification maps, and metallogenic zone maps to form a standard model for orebody identification; determining the distribution of the top and bottom plates and metallogenic sections of the orebody in single-well profiles based on the standard model, obtaining the identification results for each single well; tracking the distribution of interlayer oxidation zones and planar metallogenic zones to generate a metallogenic enrichment zone range map of the target area; optimizing the well location deployment scheme based on the metallogenic enrichment zone range map of the target area, and outputting the metallogenic enrichment zone range map and the optimized well location deployment scheme. This invention provides an efficient and accurate method for uranium mineralization prediction and exploration, significantly improving the accuracy and efficiency of metallogenic zone identification, while optimizing well location design and reducing exploration costs.

Description

Technical Field

[0001] This invention relates to the field of mineral resource evaluation technology, specifically to a method for identifying sandstone-type uranium ore enrichment zones and a system for identifying sandstone-type uranium ore enrichment zones. Background Technology

[0002] Sandstone-type uranium deposits are widely distributed in sedimentary basins, and their mineralization processes are closely related to geochemical and sedimentary environments. Currently, the identification of metallogenic belts mainly relies on geological observation, geochemical analysis, and well logging geophysical exploration techniques. For example, observing the color or mineralization characteristics of borehole cores can provide a direct indication of the metallogenic environment. However, this method often fails to provide accurate explanations in complex redox transition environments, such as the presence of uranium mineralization in the oxidative environment of red sandstone. Furthermore, geochemical modeling methods based on sample analysis of trace elements (such as uranium, thorium, and potassium), while improving the scientific accuracy of ore body prediction to some extent, rely on extensive sample collection and experimental analysis, resulting in high time consumption and costs. Moreover, the applicability of these models is easily limited by regional differences in geochemical background.

[0003] Furthermore, geophysical exploration and well logging techniques, as rapid identification tools, are typically used for the preliminary delineation of interlayer oxidation zones. However, existing methods are mostly based on single-element analysis, making it difficult to comprehensively integrate multiple well logging parameters for accurate prediction of orebody distribution. Especially in the prediction of thin-layer orebody distribution, existing methods have low accuracy, easily leading to missed orebody identification or prediction errors. Simultaneously, existing technologies lack sufficient ability to identify the distribution characteristics of calcareous sandstone and mudstone diaphragms within metallogenic belts, making it difficult to comprehensively reveal the preservation and enrichment conditions of orebodies.

[0004] Therefore, two main problems exist: first, the unique geological phenomena of ore body formation in red sandstone oxidation environments cannot be effectively explained; second, single-element analysis methods are insufficient to accurately predict the distribution of thin-layer ore bodies and the integrity of metallogenic belts. These problems urgently require a comprehensive judgment method based on multi-parameter fusion to improve the accuracy of sandstone-type uranium ore-forming belt prediction and exploration efficiency. Summary of the Invention

[0005] The purpose of this invention is to provide a method and system for identifying sandstone-type uranium enrichment zones, so as to at least solve the problems of insufficient accuracy and low efficiency in existing sandstone-type uranium enrichment zone identification schemes.

[0006] To achieve the above objectives, the first aspect of the present invention provides a method for identifying sandstone-type uranium ore enrichment zones. The method includes: collecting well logging data of a target area and performing secondary interpretation on the well logging data to obtain corresponding key parameters; establishing geochemical environment maps, calcareous sandstone identification maps, and metallogenic zone maps based on the key parameters to constitute a standard model for ore body identification; determining the distribution of the top and bottom plates and metallogenic sections of the ore body in single-well profiles based on the standard model to obtain the identification results of each single well; performing interlayer oxidation zone and planar metallogenic zone distribution tracking based on the identification results of each single well to generate a metallogenic enrichment zone range map of the target area; optimizing the well location deployment scheme based on the metallogenic enrichment zone range map of the target area, and outputting the metallogenic enrichment zone range map and the optimized well location deployment scheme.

[0007] Optionally, the step of performing secondary interpretation on the well logging data to obtain corresponding key parameters includes: performing secondary interpretation on the well logging data to extract nuclear parameters reflecting the geochemical and sedimentary environments as corresponding key parameters.

[0008] Optionally, the key parameters include any one or more of the following: thorium-uranium ratio, natural gamma, core color, elemental content, resistivity, acoustic transit time, and porosity; wherein, the elemental content includes any one or more of the following: uranium content, thorium content, and potassium content.

[0009] Optionally, the construction rules for the geochemical environment map are as follows: the key parameters related to the obtained geochemical environment are divided into multiple numerical ranges based on the geochemical environment stratification standard to obtain parameter statistical results; based on the parameter statistical results, the curve shape, continuous thickness, and anomaly boundary value of various geochemical environments are defined as judgment rules; based on the judgment rules, the spatial variation characteristics of the key parameters related to each geochemical environment in each geochemical environment are analyzed to generate an identification map of each geochemical environment based on the spatial variation characteristics, which serves as the geochemical environment map.

[0010] Optional key parameters related to the geochemical environment include core color, natural gamma, elemental content, and thorium-uranium ratio; various geochemical environments include any one or more of the following: oxidation zone energy dispersive spectroscopy logging geochemical environment, oxidation-reduction transition zone energy dispersive spectroscopy logging geochemical environment, mineralized zone energy dispersive spectroscopy logging geochemical environment, anomaly zone energy dispersive spectroscopy logging geochemical environment, and unoxidized zone energy dispersive spectroscopy logging geochemical environment.

[0011] Optionally, the spatial variation characteristics of the identification chart of the oxidation zone energy dispersive well logging geochemical environment simultaneously satisfy the following rules: the thorium-uranium ratio of the continuous first preset formation thickness is greater than the preset thorium-uranium oxide ratio; the proportion of red and / or yellow in the core color is greater than the preset first proportion threshold; and the content of each element is a preset benchmark value.

[0012] Optionally, the spatial variation characteristics of the identification chart of the redox transition zone energy spectral logging geochemical environment simultaneously satisfy the following rules: the thorium-uranium ratio of the continuous first preset formation thickness is between the preset thorium-uranium oxide ratio and the preset thorium-uranium reduction ratio; the ratio of red to gray in the core color is less than the ratio and the proportion of red and gray is greater than the preset second proportion threshold; the absolute value of the difference between the content of each element and the corresponding preset benchmark value is greater than the preset absolute value threshold of the difference.

[0013] Optionally, the spatial variation characteristics of the identification chart of the mineralized zone energy dispersive logging geochemical environment simultaneously satisfy the following rules: the thorium-uranium ratio of the second consecutive preset formation thickness is less than the preset reduced thorium-uranium ratio; the gray ratio in the core color of the second consecutive preset formation thickness is greater than the preset third proportion threshold; the absolute value of the difference between the content of each element in the second consecutive preset formation thickness and the corresponding preset benchmark value is greater than the preset absolute value threshold of the difference; the natural gamma of the second consecutive preset formation thickness is greater than the preset natural gamma threshold; and the abrupt change value of porosity relative to the benchmark porosity is greater than the preset abrupt change value threshold.

[0014] Optionally, the spatial variation characteristics of the identification chart of the anomalous zone energy spectrum logging geochemical environment simultaneously satisfy the following rules: the magnitude of the thorium-uranium ratio between thin layers of a preset thickness is repeatedly reversed with respect to each preset thorium-uranium ratio; the magnitude of the absolute value of the difference between the content of each element and the corresponding preset benchmark value between thin layers of a preset thickness is repeatedly reversed with respect to a preset absolute value threshold; the magnitude of the natural gamma of the preset formation thickness between thin layers of a preset thickness is repeatedly reversed with respect to a preset natural gamma threshold; and the magnitude of the abrupt change in porosity relative to the benchmark porosity is repeatedly reversed with respect to a preset abrupt change threshold.

[0015] Optionally, the spatial variation characteristics of the identification chart of the unoxidized zone energy dispersive spectroscopy geochemical environment simultaneously satisfy the following rules: the fluctuation range of the thorium-uranium ratio within the preset second preset formation thickness is less than the first preset fluctuation range; the core color within the preset second preset formation thickness that is greater than the preset fourth proportion threshold is the same as the core color of the parent rock; and the fluctuation range of the content of each element within the preset second preset formation thickness is less than the second preset fluctuation range.

[0016] Optionally, the construction rules for the identification map of calcareous sandstone are as follows: based on the resistivity and acoustic transit time in the obtained key parameters, the resistivity and acoustic transit time in the state of calcareous sandstone are statistically analyzed; based on the resistivity and acoustic transit time in the state of calcareous sandstone, resistivity thresholds and acoustic transit time thresholds of the ore-forming zone map are generated, and identification rules for the ore-forming zone map are constructed with the resistivity thresholds and acoustic transit time thresholds.

[0017] Optionally, the identification rule for the gray sandstone identification chart is: the resistivity within the second preset stratum thickness is greater than the resistivity threshold, and the acoustic transit time is less than the acoustic transit time threshold.

[0018] Optionally, the construction rules for the metallogenic belt map are as follows: based on the reducing environment in the key parameters obtained from the geochemical environment map, and based on the reducing environment calcareous sandstone in the key parameters obtained from the calcareous sandstone identification map; based on the reducing environment identification results and the calcareous sandstone identification results, the metallogenic region is predicted, and the boundary of the predicted region is determined; within the predicted region, the continuous thickness of the metallogenic region is marked based on the variation morphology of the well logging curves; based on the boundary and continuous thickness of the predicted metallogenic region, the metallogenic belt map is constructed.

[0019] Optionally, the following rules must be met simultaneously on the metallogenic belt map: the thorium-uranium ratio within the preset second preset stratum thickness is less than the preset reduced thorium-uranium ratio threshold; the lithology identification result within the preset second preset stratum thickness is gray sandstone; the absolute value of the difference between the content of each element in the continuous second preset stratum thickness and the corresponding preset benchmark value is greater than the preset absolute value threshold of the difference; the natural gamma of the continuous second preset stratum thickness is greater than the preset gamma threshold; and the abrupt change value of the porosity of the continuous second preset stratum thickness relative to the benchmark porosity is greater than the preset abrupt change value threshold.

[0020] Optionally, the construction rules for the standard model for ore body identification are as follows: geochemical environment identification is performed based on the geochemical environment map, calcareous sandstone identification is performed based on the calcareous sandstone identification map, and the top and bottom partitions of the ore-forming belt are identified based on the ore-forming belt map; combined with the variation characteristics of well logging curves, as well as the geochemical environment identification results, calcareous sandstone identification results, and the top and bottom partitions of the ore-forming belt identification results, the identification models for standard ore-forming belts and / or special ore-forming belts are identified, which serve as the standard model for ore body identification.

[0021] Optionally, the rule for identifying the standard metallogenic belt is that all identified metallogenic belts meet the requirements of the metallogenic belt map; the special metallogenic belts include any one or more of the following: weathered leached limestone karst pore-type minerals, evaporative limestone interlayer residual adsorption type minerals, and sedimentary sandstone mudstone partition minerals.

[0022] Optionally, the identification model for weathered leached limestone karst porous deposits is that within the identified ore-forming zone, there exists a partial thorium-uranium ratio greater than a preset reduced thorium-uranium ratio threshold; the identification model for residual adsorption type deposits in evaporation environment limestone interlayers is that within the identified ore-forming zone, there exists red silty mudstone or mudstone; and the identification model for sedimentary sandstone-mudstone partition deposits is that within the identified ore-forming zone, there is a lack of top or bottom calcareous sandstone.

[0023] Optionally, determining the distribution of the ore body's top and bottom plates and ore-forming sections in a single-well profile based on the standard model to obtain the identification results of each single well includes: collecting actual logging data from each single well and performing analysis on the actual logging data based on the standard model to obtain the distribution of the ore body's top and bottom plates and ore-forming sections within the corresponding single-well area, as the identification result of the single well; and performing interlayer oxidation zone and planar ore-forming zone distribution tracking based on the identification results of each single well to generate a ore-forming enrichment zone range map of the target area includes: combining the identification results of each single well based on the spatial distribution characteristics of each well to generate a ore-forming enrichment zone range map of the target area.

[0024] Optionally, the optimization of well location deployment scheme based on the mineralized enrichment zone range map of the target area, and the output of the mineralized enrichment zone range map and the optimized well location deployment scheme, includes: identifying enrichment zones based on the mineralized enrichment zone range map of the target area, determining the optimized well locations as deployment positions based on the identified enrichment zones; performing visualization processing on the optimized well locations and the mineralized enrichment zone range map of the target area to obtain visualized chart data; and pushing the visualized chart data to the user terminal.

[0025] A second aspect of this invention provides a system for identifying sandstone-type uranium ore enrichment zones. The system includes: a data acquisition unit for acquiring well logging data of a target area and performing secondary interpretation on the well logging data to obtain corresponding key parameters; a model building unit for establishing geochemical environment maps, calcareous sandstone identification maps, and metallogenic zone maps based on the key parameters, respectively, to constitute a standard model for ore body identification; a single-well identification unit for determining the distribution of the top and bottom plates and metallogenic sections of the ore body in a single-well profile based on the standard model, and obtaining the identification results of each single well; a region identification unit for tracking the distribution of interlayer oxidation zones and planar metallogenic zones based on the identification results of each single well, generating a metallogenic enrichment zone range map of the target area; and an output unit for optimizing well location deployment schemes based on the metallogenic enrichment zone range map of the target area, and outputting the metallogenic enrichment zone range map and the optimized well location deployment scheme.

[0026] On the other hand, the present invention provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the above-described method for identifying sandstone-type uranium-rich zones.

[0027] Through the above technical solution, this invention collects well logging data from the target area and performs secondary interpretation to extract key geochemical parameters, constructing geochemical environment maps, calcareous sandstone identification maps, and metallogenic belt maps, forming a standard model for orebody identification. Using this model, the distribution of the top and bottom plates and metallogenic sections of the orebody can be accurately determined in a single well profile. Combining the results of each single well, comprehensive tracking of inter-layer oxidation zones and planar metallogenic belts is achieved, generating a metallogenic enrichment zone range map of the target area. Based on this range map, the well location deployment scheme is optimized, providing an efficient and accurate method for uranium mineralization prediction and exploration, significantly improving the accuracy of metallogenic belt identification and exploration efficiency, while also optimizing well location design and reducing exploration costs.

[0028] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0029] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart of the steps of a method for identifying sandstone-type uranium deposit enrichment zones provided by one embodiment of the present invention; Figure 2 This is a schematic diagram of a standard graph of oxidative environment geochemical environment curves provided in one embodiment of the present invention; Figure 3 This is a schematic diagram of a standard graph of the redox transition environment geochemical environment curve provided by one embodiment of the present invention; Figure 4 This is a schematic diagram of a standard chart of geochemical environment curves for metallogenic belts provided in one embodiment of the present invention; Figure 5 This is a schematic diagram of a standard graph of geochemical environment curves of anomaly zones provided in one embodiment of the present invention; Figure 6 This is a schematic diagram of a standard chart of the environmental curve of the unoxidized zone provided in one embodiment of the present invention; Figure 7 This is a schematic diagram of a gray sandstone identification plate provided in one embodiment of the present invention; Figure 8 This is a schematic diagram of a cross-sectional view of the ore-forming environment provided in one embodiment of the present invention; Figure 9 This is a schematic diagram of a standard ore body template provided in one embodiment of the present invention; Figure 10 This is a schematic diagram of a weathered leaching limestone karst pore-shaped ore template provided in one embodiment of the present invention; Figure 11This is a schematic diagram of a residual adsorption-type ore template for limestone interlayers provided in one embodiment of the present invention; Figure 12 This is a schematic diagram of a sedimentary sandstone and mudstone partition template provided in one embodiment of the present invention; Figure 13 This is a schematic diagram of a standard geochemical environmental profile provided in one embodiment of the present invention; Figure 14 This is a diagram showing the relationship between the distribution of oxidation and reduction zones and the ore body, provided by one embodiment of the present invention. Figure 15 This is a system structure diagram of a sandstone-type uranium ore enrichment zone identification system provided in one embodiment of the present invention. Detailed Implementation

[0030] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0031] Figure 1 This is a flowchart of a method for identifying sandstone-type uranium deposit enrichment zones according to one embodiment of the present invention. Figure 1 As shown, this invention provides a method for identifying sandstone-type uranium deposit enrichment zones, the method comprising: Step S10: Collect well logging data of the target area and perform secondary interpretation on the well logging data to obtain the corresponding key parameters.

[0032] Specifically, the process of performing secondary interpretation on the well logging data to obtain corresponding key parameters includes: performing secondary interpretation on the well logging data to extract nuclear parameters reflecting the geochemical and sedimentary environments as corresponding key parameters.

[0033] Furthermore, the key parameters include any one or more of the following: thorium-uranium ratio, natural gamma, core color, elemental content, resistivity, acoustic transit time, and porosity; wherein, the elemental content includes any one or more of the following: uranium content, thorium content, and potassium content.

[0034] In this embodiment of the invention, the process of performing secondary interpretation of well logging data includes reprocessing and optimizing the original well logging curves. The original well logging data may contain various parameter information such as natural gamma curves, gamma spectral logging (including the distribution of uranium, thorium, and potassium content), resistivity curves, sonic transit time curves, and porosity curves. Through secondary interpretation of these curves, nuclear parameters reflecting geochemical environments (such as oxidation zones, reduction zones, and transition zones) and sedimentary environments (such as reservoir lithology and porosity characteristics) can be extracted. These nuclear parameters include, but are not limited to, the following: 1) Thorium-uranium ratio (Th / U): This is an important indicator parameter for the uranium ore-forming environment and is used to divide the geochemical environment. Generally, Th / U > 7 indicates an oxidative environment, Th / U < 1 indicates a reducing environment, and 1 < Th / U < 7 indicates an oxidation-reduction transition zone.

[0035] 2) Natural gamma (GR): It is used to determine the shale content and the distribution of abnormal values. When GR > 210, it is judged as an abnormal display. When GR > 500 and the thickness > 1 m, it can be preliminarily judged as an industrial ore section.

[0036] 3) Element content (U, Th, K): The uranium content (U) is an important parameter directly indicating the enrichment of the ore body. The thorium content (Th) and potassium content (K) respectively reflect the adsorption characteristics of clay minerals and the changes in the formation oxidation-reduction environment.

[0037] 4) Resistivity (Rt): It is used to identify the top and bottom plates of the reservoir, such as the distribution of calcareous sandstone or mudstone barriers. Calcareous sandstone usually shows Rt > 25.

[0038] 5) Acoustic transit time (AC): It reflects the compaction degree and pore characteristics of the formation. The AC of calcareous sandstone is < 380.

[0039] 6) Porosity (POR): It is used to determine the effectiveness of the reservoir. High porosity usually indicates a high-quality reservoir.

[0040] 7) Core color: The oxidation or reduction environment is determined by the color. For example, red sandstone indicates an oxidative environment, while gray sandstone indicates a reducing environment.

[0041] The extraction of these parameters through the reinterpretation of logging data not only improves the utilization efficiency of the original data but also significantly enhances the determination accuracy of the geochemical environment and sedimentary environment through the mutual verification and fusion analysis among the parameters. For example, the combination of the thorium-uranium ratio and the natural gamma curve can be used to accurately divide the oxidation-reduction interface, and the parameter pair combining resistivity and acoustic transit time can effectively identify the calcareous sandstone barrier, which are all important conditions for ore body determination.

[0042] Based on the present invention, through secondary interpretation, key parameters that better reflect stratigraphic characteristics can be extracted, avoiding the bias problems caused by single-element analysis in traditional methods. This is especially beneficial in complex redox transition environments, improving the accuracy of ore-forming zone identification. The extracted key parameters can be cross-validated, laying a data foundation for subsequent construction of geochemical environment maps and ore-forming zone maps, while also supporting the integrated application of multiple technologies. By efficiently extracting parameters from well logging data, reliance on sample experimental analysis is reduced, significantly lowering exploration time and economic costs. The extracted parameters have higher adaptability to different geological environments, meeting the uranium exploration needs of various sedimentary systems, thus enhancing the technology's versatility and promotional value.

[0043] Step S20: Based on the key parameters, establish geochemical environment maps, calcareous sandstone identification maps, and ore-forming zone maps to form a standard model for ore body identification.

[0044] Specifically, the construction rules for the geochemical environment map are as follows: the key parameters related to the obtained geochemical environment are divided into multiple numerical ranges based on the geochemical environment stratification standard to obtain parameter statistical results; based on the parameter statistical results, the curve shape, continuous thickness, and anomaly boundary value definitions of various geochemical environments are executed as judgment rules; based on the judgment rules, the spatial variation characteristics of the key parameters related to each geochemical environment in each geochemical environment are executed to generate an identification map of each geochemical environment based on the spatial variation characteristics, which serves as the geochemical environment map.

[0045] Furthermore, key parameters related to the geochemical environment include core color, natural gamma, elemental content, and thorium-uranium ratio; various geochemical environments include any one or more of the following: oxidized zone energy dispersive spectroscopy logging geochemical environment, oxidation-reduction transition zone energy dispersive spectroscopy logging geochemical environment, mineralized zone energy dispersive spectroscopy logging geochemical environment, anomaly zone energy dispersive spectroscopy logging geochemical environment, and unoxidized zone energy dispersive spectroscopy logging geochemical environment.

[0046] In this embodiment of the invention, key parameters (such as core color, natural gamma, elemental content, and thorium-uranium ratio) are grouped and statistically analyzed according to geochemical environmental stratification standards. Through parameter statistics, the numerical distribution range of each parameter in different geochemical environments is obtained, such as the upper and lower limits of Th / U, the anomaly range of GR values, and the classification statistics of core color. After clarifying the stratification standards, the morphology, thickness, and anomaly characteristics of well logging curves are summarized, and boundary values ​​are defined in conjunction with the specific attributes of the geochemical environment. The spatial variation characteristics of key parameters for each geochemical environment are extracted, including the distribution pattern and spatial correlation of parameter values ​​in the depth direction. Based on the above steps, the statistical rules, curve morphology characteristics, and spatial distribution patterns of various geochemical environments are transformed into standard charts.

[0047] Preferably, the spatial variation characteristics of the identification chart of the oxidation zone energy dispersive spectroscopy well logging geochemical environment simultaneously satisfy the following rules: the thorium-uranium ratio of a continuous first preset formation thickness is greater than a preset thorium-uranium oxide ratio; the proportion of red and / or yellow in the core color is greater than a preset first proportion threshold; and the content of each element is a preset baseline value. In one possible implementation, the discrimination parameters of the identification chart of the oxidation zone energy dispersive spectroscopy well logging geochemical environment are shown in Table 1, and the specific format is as follows: Figure 2 As shown.

[0048] Table 1 Oxidation Zone Discrimination Parameters

[0049] In this embodiment of the invention, the thorium-uranium ratio (Th / U) is used as a core parameter for determining the oxidation zone. It requires that within a continuous first preset formation thickness range, the thorium-uranium ratio must be greater than a preset oxidation zone threshold. This indicates that the area is in a strongly oxidizing environment, characterized by a Th / U ratio > 7. This high ratio reflects the strong mobility of uranium in the formation and its unenriched state. The spatial distribution and stability of this ratio can be determined through continuity analysis of the logging curves. Secondly, core color, as a direct characterization parameter of the oxidation environment, requires that the proportion of red and / or yellow in the core be greater than a preset first proportion threshold. The appearance of this color is a typical characteristic formed under oxidation; red is usually colored by iron oxides, while yellow indicates strong post-oxidation. Setting the proportion threshold can effectively eliminate interference from small amounts of localized oxidation or mixed environments, making the calibration results more reliable. Finally, the content of each element needs to meet preset benchmark values. This includes the content of uranium (U), thorium (Th), and potassium (K), which typically maintain relatively stable background values ​​in the oxidation zone. Abnormal fluctuations may indicate the entry into a transitional or reducing environment, so the setting of these benchmark values ​​ensures the accurate division of the oxidation zone.

[0050] Furthermore, the spatial variation characteristics of the identification chart of the redox transition zone energy dispersive spectroscopy geochemical environment simultaneously satisfy the following rules: the thorium-uranium ratio of the continuous first preset formation thickness is between the preset thorium-uranium oxide ratio and the preset thorium-uranium reduction ratio; the ratio of red to gray in the core color is less than the ratio and the proportion of red and gray is greater than the preset second proportion threshold; the absolute value of the difference between the content of each element and the corresponding preset benchmark value is greater than the preset absolute value threshold of the difference. In one possible implementation, the discrimination parameters of the identification chart of the redox transition zone energy dispersive spectroscopy geochemical environment are shown in Table 2, and the specific format is as follows: Figure 3 As shown.

[0051] Table 2. Parameters for Discriminating the Oxidation-Reduction Transition Zone

[0052] In the embodiments of the present invention, the thorium-uranium ratio (Th / U) is the core parameter for determining the oxidation-reduction transition zone. According to the chart rules, within the continuous first preset formation thickness, the Th / U value needs to be between the preset oxidation thorium-uranium ratio (such as Th / U > 7) and the reduction thorium-uranium ratio (such as Th / U < 1), that is, 1 < Th / U < 7. This range indicates that the area is in a geochemical environment with obvious oxidation-reduction alternation, the material migration is relatively active, and it is suitable for forming specific mineralization characteristics. In addition, from the curve shape, the Th / U curve shows a fluctuating shape with frequent alternations, and the curve change range is relatively large, which is an important sign of the transition zone. Secondly, as a direct characterization of the geochemical environment, the core color shows an alternating distribution of red and gray in the oxidation-reduction transition zone, and its ratio and distribution range also have important judgment significance. The specific rules require that the ratio of red to gray is lower than a certain preset value, and at the same time, the total proportion of the two needs to be greater than the preset second proportion threshold. The alternating color characteristics reflect the dynamic changes of the oxidation and reduction processes in the transition zone, and this red-gray alternation phenomenon usually corresponds to the interbedded sedimentary characteristics of sandstone and mudstone. Finally, the contents of each element (including uranium U, thorium Th, and potassium K) show abnormal changes in the transition zone, and the absolute value of the difference between them and the corresponding preset reference value needs to be greater than the preset absolute value threshold of the difference. For example, the abnormal values of uranium U and thorium Th in the transition zone are often more than twice the reference value or show significant fluctuations. The potassium K value may show high or low anomalies, and this unstable characteristic further confirms the existence of element migration and mineralization potential in the transition zone.

[0053] Furthermore, the rules that the spatial variation characteristics of the identification chart of the geochemical environment of the energy spectrum logging in the mineralized zone need to satisfy simultaneously are: the thorium-uranium ratio of the continuous second preset formation thickness is less than the preset reduction thorium-uranium ratio; the gray ratio in the core color of the continuous second preset formation thickness is greater than the preset third proportion threshold; the absolute value of the difference between the content of each element and the corresponding preset reference value of the continuous second preset formation thickness is greater than the preset absolute value threshold of the difference; the natural gamma of the continuous second preset formation thickness is greater than the preset natural gamma threshold; the mutation value of the porosity relative to the reference porosity is greater than the preset mutation value threshold. In a possible implementation manner, the discrimination parameters of the identification chart of the geochemical environment of the energy spectrum logging in the mineralized zone are shown in Table 3, and the specific format is as Figure 4 shown.

[0054] Table 3 Discrimination Parameter Table of the Identification Chart of the Geochemical Environment of the Energy Spectrum Logging in the Mineralized Zone

[0055] In this embodiment of the invention, the thorium-uranium ratio (Th / U) is used as a core parameter, and it must be less than a preset reduced thorium-uranium ratio (usually 1) within a continuous second preset stratum thickness range. When Th / U < 1, it indicates that the stratum is in a typical reducing environment with weak oxidation, while uranium has good enrichment conditions in this environment. From the curve morphology, the Th / U curve may be invisible or show a thin-layer left-filled shape in a reducing environment, indicating stable reducing conditions and mineralization potential.

[0056] Secondly, the gray ratio of the core color must be greater than the preset third proportion threshold, reflecting the sedimentary characteristics under oxygen-deficient conditions in a reducing environment. Gray cores are usually composed of reducing sediments, such as calcareous sandstone or argillaceous mudstone. A high proportion of gray cores indicates that the environment is dominated by sedimentary reduction processes, suitable for uranium precipitation and enrichment. In addition, the occasional gray bands in the lithology are also an important characteristic of a reducing environment.

[0057] Third, the content of each element must differ significantly from the preset benchmark value, and the absolute value of the difference must be greater than the set threshold. For example, the uranium (U) content may show a significantly abnormally high value (more than twice the benchmark value), while the thorium (Th) and potassium (K) contents may show high or low abnormal variations. This irregular distribution of element content further illustrates the complex material migration and enrichment processes in the reducing environment.

[0058] Fourth, the natural gamma (GR) value must be greater than the preset natural gamma threshold (usually above 210 API). The presence of high natural gamma values ​​in a reducing environment is usually associated with abnormal enrichment of uranium and is an important indicator for determining the reducing environment.

[0059] Finally, the porosity must exhibit a significant abrupt change relative to the baseline porosity, with the abrupt change value exceeding a preset threshold (e.g., abrupt change value > 20). High porosity often indicates good reservoir permeability, which is conducive to the fluid migration and precipitation of uranium, creating favorable conditions for mineralization.

[0060] Furthermore, the spatial variation characteristics of the identification chart of the anomalous zone energy spectrum logging geochemical environment simultaneously satisfy the following rules: the magnitude of the thorium-uranium ratio between thin layers of a preset thickness is repeatedly reversed with respect to each preset thorium-uranium ratio; the magnitude of the absolute value of the difference between the content of each element and the corresponding preset benchmark value between thin layers of a preset thickness is repeatedly reversed with respect to a preset absolute value threshold; the magnitude of the natural gamma of the preset formation thickness between thin layers of a preset thickness is repeatedly reversed with respect to a preset natural gamma threshold; and the magnitude of the abrupt change in porosity relative to the benchmark porosity is repeatedly reversed with respect to a preset abrupt change threshold.

[0061] In this embodiment of the invention, the repeated flips in the thorium-uranium ratio (Th / U) are a typical characteristic of anomaly zones. Between thin layers of a predetermined thickness, the Th / U value frequently changes between different predetermined threshold ranges. For example, the Th / U value in one layer may be higher than the oxidation threshold (>7), while in an adjacent layer it may suddenly fall below the reduction threshold (<1). This rapid flipping phenomenon indicates frequent oxidation-reduction alternation in the formation, possibly related to rapid fluid migration, local precipitation, and dissolution processes. This change typically manifests as frequent dagger-shaped fluctuations or sawtooth patterns in well logging curves.

[0062] Secondly, the reversal of the absolute differences in the contents of each element (such as uranium (U), thorium (Th), and potassium (K)) relative to the preset benchmark values ​​further verifies the characteristics of the anomaly zone. Between thin layers, the variations in the contents of each element may be higher than the preset threshold (e.g., U > benchmark value + 2 times) or lower than the preset threshold (e.g., U < benchmark value - 2 times). This variation typically reflects the instability of the local geochemical environment, such as the migration and anomalous enrichment of elements in fluids. These reversal phenomena not only illustrate the complexity of the geochemical environment within the anomaly zone but also suggest the existence of local mineralization potential.

[0063] Furthermore, the natural gamma (GR) values ​​also exhibit multiple flips. Within the pre-defined thin layers, the GR value may be higher than the threshold (>210 API) in one segment, while falling below that value in adjacent segments. This fluctuation is consistent with changes in the thorium-uranium ratio and elemental abundance, further supporting the unstable geochemical background of the anomaly zone.

[0064] Finally, the multiple reversals of porosity abrupt changes from the preset threshold reflect drastic variations in reservoir properties. Porosity between thin layers may show a significant increase (e.g., > baseline value + 20), followed by a sharp decrease in adjacent layers. This variation indicates that the reservoirs in the anomalous zone exhibit extremely high heterogeneity, closely related to fluid activity and mineralization conditions, as shown in the following format: Figure 5 As shown.

[0065] Furthermore, the spatial variation characteristics of the identification chart of the unoxidized zone energy dispersive spectroscopy geochemical environment simultaneously satisfy the following rules: the fluctuation range of the thorium-uranium ratio within a preset second preset formation thickness is smaller than the first preset fluctuation range; the core color within a preset second preset formation thickness that is greater than a preset fourth proportion threshold is the same as the core color of the parent rock; and the fluctuation range of the content of each element within a preset second preset formation thickness is smaller than the second preset fluctuation range. In one possible implementation, the discrimination parameters of the identification chart of the unoxidized zone energy dispersive spectroscopy geochemical environment are shown in Table 4, with the specific format as follows: Figure 6 As shown.

[0066] Table 4. Discrimination Parameters for Unoxidized Zone

[0067] In this embodiment of the invention, the thorium-uranium ratio (Th / U) in the unoxidized zone fluctuates within a smaller range than the first preset fluctuation range, showing no significant abnormal changes. The Th / U value in the unoxidized zone is typically stable and close to the regional baseline value, with a generally smooth curve without obvious fluctuations or abrupt changes. This stability indicates that the environment has not undergone oxidation or reduction, reflecting the original geochemical state of the parent rock. This characteristic makes the Th / U value an important parameter for determining the unoxidized zone. Secondly, the core color is consistent with the parent rock color within a preset second preset stratigraphic thickness, and the proportion of the same color must be greater than a preset fourth proportion threshold. The lithology in the unoxidized zone has not been modified by oxidation, and the core color usually directly reflects the original color of the parent rock, whether gray, red, or other colors, it is consistent with the parent rock. This characteristic avoids color changes caused by oxidation, providing an intuitive basis for determining the unoxidized zone. Thirdly, the content of each element (such as uranium (U), thorium (Th), and potassium (K)) in the unoxidized zone fluctuates within a smaller range than the second preset fluctuation range. According to the chart, the content of each element is close to the regional baseline value, and the curve shape shows a stable and abrupt change. This stability indicates that material migration and geochemical reactions are weak in the unoxidized zone, which basically maintains its original state, and is an important characteristic that distinguishes it from the oxidized zone or the anomalous zone.

[0068] Preferably, the construction rule for the identification map of calcareous sandstone is as follows: based on the resistivity and acoustic transit time in the obtained key parameters, the resistivity and acoustic transit time in the state of calcareous sandstone are statistically analyzed; based on the resistivity and acoustic transit time in the state of calcareous sandstone, a resistivity threshold and an acoustic transit time threshold for the mineralization zone map are generated, and the identification rule for the mineralization zone map is constructed with the resistivity threshold and the acoustic transit time threshold.

[0069] Furthermore, the identification rules for the gray sandstone identification chart are as follows: the resistivity within the second preset stratum thickness is greater than the resistivity threshold, and the acoustic transit time is less than the acoustic transit time threshold.

[0070] In this embodiment of the invention, the construction rules for the identification chart of calcareous sandstone are based on the key parameters of resistivity (Rt) and acoustic transit time (AC). By analyzing a large amount of well logging data from calcareous sandstone strata, the resistivity and acoustic transit time of calcareous sandstone within different stratum thickness ranges are statistically analyzed to form its characteristic distribution. For example, calcareous sandstone typically exhibits high resistivity (Rt>25 Ω·m) because its low water content and high density limit current flow. Furthermore, the acoustic transit time is usually low (AC<380 μs / ft), reflecting the high density and low porosity of the rock strata. Through in-depth statistical analysis of these data, the resistivity and acoustic transit time thresholds of calcareous sandstone in the mineralization zone can be determined.

[0071] Furthermore, based on the resistivity threshold and acoustic transit time threshold defined by statistical results, identification rules for calcareous sandstone were established. Specifically, within a preset second-preset stratigraphic thickness, if the resistivity is greater than the resistivity threshold and the acoustic transit time is less than the acoustic transit time threshold, the stratum can be identified as calcareous sandstone. This rule, based on the physical properties of calcareous sandstone in its mineralization environment, effectively avoids interference from other lithologies. For example, in the process of identifying mineralization zones, the resistivity and acoustic transit time of mudstone and sandstone are often significantly different from those of calcareous sandstone. By using the dual constraints of resistivity and acoustic transit time, the location and extent of calcareous sandstone can be more accurately determined.

[0072] Furthermore, these identification rules are used to combine the physical properties of calcareous sandstone with the distribution of metallogenic belts to generate metallogenic belt maps. These maps include the distribution range of calcareous sandstone and its correlation with metallogenic conditions. This method not only improves the accuracy of metallogenic belt identification but also provides a reliable basis for subsequent orebody distribution prediction. In one possible implementation, the discrimination parameters for calcareous sandstone are shown in Table 5, with specific formats as follows: Figure 7 As shown.

[0073] Table 5. Discrimination Parameters for Lime Sandstone

[0074] Preferably, the construction rules for the metallogenic belt map are as follows: Based on the reducing environment identified from the key parameters of the geochemical environment map, and based on the reducing environment calcareous sandstone identified from the key parameters of the calcareous sandstone map; based on the reducing environment identification results and the calcareous sandstone identification results, metallogenic areas are predicted, and the boundaries of the predicted areas are determined; within the predicted areas, the continuous thickness of the metallogenic areas is calibrated based on the variation morphology of well logging curves; based on the boundaries and continuous thickness of the predicted metallogenic areas, a metallogenic belt map is constructed. In one possible implementation, the metallogenic belt map discrimination parameters are shown in Table 6, such as... Figure 8 As shown.

[0075] Table 6. Discrimination Parameters for Metallogenic Environment Profiles

[0076] Furthermore, the metallogenic belt map must simultaneously meet the following rules: the thorium-uranium ratio within the second preset stratum thickness is less than the preset reduced thorium-uranium ratio threshold; the lithology identification result within the second preset stratum thickness is gray sandstone; the absolute value of the difference between the content of each element within the second preset stratum thickness and the corresponding preset benchmark value is greater than the preset absolute value threshold of the difference; the natural gamma within the second preset stratum thickness is greater than the preset gamma threshold; and the abrupt change in porosity within the second preset stratum thickness relative to the benchmark porosity is greater than the preset abrupt change threshold.

[0077] In this embodiment of the invention, reducing environments are identified using geochemical environmental maps. Reducing environments are crucial for mineralization and are typically determined through analysis of the thorium-uranium ratio (Th / U). When the Th / U value is less than a preset reduction threshold (e.g., Th / U < 1), it is designated as a reducing environment region. In reducing environments, due to reduced oxidation and enhanced reduction conditions, uranium ions are more easily precipitated and enriched, providing the foundation for the formation of mineralized belts.

[0078] Secondly, by combining the results of the calcareous sandstone identification chart, the distribution range of calcareous sandstone in the reduced environment was further defined. Calcareous sandstone serves as an important reservoir and partition in the mineralization zone, and its identification is based on parameters such as resistivity and acoustic transit time. When the resistivity is higher than a preset threshold (e.g., Rt>25 Ω·m) and the acoustic transit time is lower than a preset threshold (e.g., AC<380 μs / ft), it can be identified as a calcareous sandstone layer. This determination further narrows down the range of the mineralization area and enhances the accuracy of the prediction.

[0079] After clarifying the reducing environment and the distribution of calcareous sandstone, the mineralization area is predicted based on their intersection, and the continuous thickness of the mineralization zone within the predicted area is determined by analyzing the variation morphology of well logging curves. For example, sawtooth, dagger-shaped, or abrupt change regions in the curve morphology usually reflect the distribution characteristics of the ore body. By determining the continuous thickness (e.g., greater than 1m), the predicted range of the mineralization zone can be further optimized.

[0080] Finally, based on the predicted boundaries and continuous thickness of the metallogenic region, a metallogenic belt map is constructed. The metallogenic belt map must meet several rules: within a continuous, second-preset stratigraphic thickness range, the thorium-uranium ratio is less than a preset reduced thorium-uranium ratio threshold; the lithology is identified as gray sandstone; the absolute difference in the content of each element (e.g., U, Th, K) relative to the baseline value is greater than a preset threshold; the natural gamma value is greater than a preset gamma threshold (e.g., GR > 210 API); and the porosity abrupt change value is greater than a preset abrupt change value threshold. These rules comprehensively reflect the typical physical and geochemical characteristics of the metallogenic belt.

[0081] Preferably, the construction rules for the standard model for ore body identification are as follows: geochemical environment identification is performed based on the geochemical environment map, calcareous sandstone identification is performed based on the calcareous sandstone identification map, and the top and bottom partitions of the ore-forming belt are identified based on the ore-forming belt map; combined with the variation characteristics of well logging curves, as well as the geochemical environment identification results, calcareous sandstone identification results, and the top and bottom partitions of the ore-forming belt identification results, identification models for standard ore-forming belts and / or special ore-forming belts are identified, which serve as the standard model for ore body identification.

[0082] In this embodiment of the invention, a systematic and precise set of orebody identification rules is constructed by combining multi-map comprehensive analysis with well logging curve characteristics, providing a scientific basis for the exploration of sandstone-type uranium deposits. The rules are first constructed based on geochemical environment maps, performing geochemical environment identification to accurately delineate oxidation, reduction, and transition zones to determine the possible geochemical background of the orebody. Subsequently, using a calcareous sandstone identification map, calcareous sandstone is accurately identified to determine its distribution range as reservoirs and silt. Further, using a metallogenic belt map, the top and bottom silt of the metallogenic belt are identified to clarify its physical boundaries. Based on this, combined with the variation characteristics of well logging curves, such as the thorium-uranium ratio (Th / U), natural gamma (GR), and anomalous distributions of elemental contents (e.g., U, Th), the identification results of the geochemical environment, calcareous sandstone, and metallogenic belt boundaries are comprehensively analyzed to finally construct a model for determining standard and special metallogenic belts. Standard metallogenic belts refer to areas that meet typical metallogenic conditions, while special metallogenic belts take into account atypical mineralization areas that may exist in complex geological environments, such as mineralization phenomena in red sandstone oxidation zones. Figure 9 As shown, a standard orebody template is provided, and Table 7 is a table of orebody standard template discrimination parameters.

[0083] Table 7. Standard Map Discrimination Parameters for Ore Bodies

[0084] Preferably, the identification model of the standard metallogenic belt is based on the rule that all metallogenic belts identified meet the requirements of the metallogenic belt map; the special metallogenic belts include any one or more of the following: weathered leached limestone karst pore-type minerals, evaporative limestone interlayer residual adsorption type minerals, and sedimentary sandstone mudstone partition minerals.

[0085] Furthermore, the identification model for weathered leached limestone karst porous deposits is that within the identified ore-forming zone, there exists a partial thorium-uranium ratio greater than a preset reduced thorium-uranium ratio threshold; the identification model for residual adsorption type deposits in evaporation environment limestone interlayers is that within the identified ore-forming zone, there exists red silty mudstone or mudstone; and the identification model for sedimentary sandstone-mudstone partition deposits is that within the identified ore-forming zone, there is a lack of top or bottom calcareous sandstone.

[0086] In this embodiment of the invention, the identification model for standard metallogenic belts is based on the unified rules of metallogenic belt maps, requiring that the identified metallogenic belts all meet the geochemical environment, reservoir characteristics, and mineralization zone boundary features defined in the metallogenic belt maps. Through comprehensive analysis of geochemical environments (such as reducing environments), lithological distribution (such as the top and bottom characteristics of calcareous sandstone), well logging curve morphology, and anomaly parameter distribution, standard metallogenic belts represent typical mineralization areas, possessing relatively stable metallogenic regularities and clear orebody distribution ranges.

[0087] Special metallogenic belts are designed for unconventional mineralization phenomena, encompassing various metallogenic types under complex geological environments, including weathered leached limestone karst porous deposits, evaporative limestone interlayer residual adsorption deposits, and sedimentary sandstone-mudstone partition deposits. The identification model for each special metallogenic belt is tailored to its unique metallogenic conditions and geological characteristics, with specific rules as follows: 1) Identification model for weathered leached limestone karst porous deposits: such as Figure 10 As shown, within the identified mineralization zones, some thorium-uranium ratios (Th / U) exceed the preset reduced thorium-uranium ratio threshold (e.g., Th / U > 1). This phenomenon indicates that although the region as a whole is in a reducing environment, local areas may have experienced altered geochemical conditions due to post-weathering and leaching, with localized oxidation promoting the dissolution and redistribution of the ore bodies. This type of mineralization is typically associated with the porous and fractured structure of limestone and is a typical mineralization zone formed by dissolution.

[0088] 2) Identification model for residual adsorption-type minerals in limestone interlayers in evaporative environments: such as Figure 11 The diagram shows the presence of red silty mudstone or mudstone strata within the mineralization zone. This indicates that the area may have undergone evaporative sedimentation, resulting in ore bodies enriched within limestone interlayers. Red silty mudstone is a typical feature of evaporative environments, reflecting intense oxidation and mineral adsorption during mineralization. This type of mineralization typically manifests as thinner ore layers with high enrichment levels, and its distribution is closely related to the sedimentary environment.

[0089] 3) Identification model for sedimentary sandstone and mudstone partition deposits: such as Figure 12 As shown, within the identified mineralization zone, either the top or bottom layer of calcareous sandstone is missing, and the main feature is mudstone partitions. This situation reflects that during the mineralization process, due to the discontinuity of the calcareous sandstone reservoir, the ore body was protected and sealed by mudstone partitions. The mudstone partitions acted as shielding, contributing to the preservation of the ore body within the local environment.

[0090] The above model supplements the identification method of standard metallogenic belts with the identification rules of special metallogenic belts, and solves the problem of identifying mineralization phenomena that may exist under complex geological conditions.

[0091] Based on the present invention, the rules for standard metallogenic belts ensure accurate identification of typical metallogenic belts, while the rules for special metallogenic belts expand the adaptability of the identification model, covering unconventional mineralization phenomena in complex geological environments. By designing targeted rules, mineralization characteristics formed under localized weathering, evaporation, or sedimentary environments can be identified, significantly improving the comprehensiveness and accuracy of ore body identification. The model for special metallogenic belts addresses complex weathering, sedimentation, and shielding conditions, providing a scientific basis for identifying mineralization phenomena under special geological backgrounds. Combining the identification rules for standard and special metallogenic belts allows for the design of differentiated exploration strategies for different metallogenic conditions, improving exploration efficiency and reducing unnecessary investment.

[0092] Step S30: Based on the standard model, determine the distribution of the top and bottom plates of the ore body and the ore-forming section in the single-well profile, and obtain the identification results of each single well.

[0093] Specifically, actual logging data from each individual well is collected, and analysis is performed on the actual logging data based on the standard model to obtain the distribution of the top and bottom plates and ore-forming sections of the corresponding individual well area, which serves as the identification result of the individual well. Based on the identification results of each individual well, the distribution tracking of interlayer oxidation zones and planar ore-forming zones is performed to generate a ore-forming enrichment zone range map of the target area, including: based on the spatial distribution characteristics of each well, the identification results of each individual well are combined to generate a ore-forming enrichment zone range map of the target area.

[0094] In this embodiment of the invention, actual logging data from individual wells in the target area are collected, including key logging parameters (such as thorium-uranium ratio Th / U, natural gamma ray GR, uranium content U, resistivity Rt, and acoustic transit time AC). Based on a standard model, the logging curves of each individual well are analyzed to determine the location of the top and bottom plates of the ore body and the vertical distribution range of the mineralized section within that well profile. The application of the standard model ensures the accuracy of the individual well profile analysis by comprehensively analyzing the variation characteristics of the logging data (such as GR anomalies, low Th / U values, and high U values), combined with the identification of the top and bottom plate calcareous sandstone. For example, in the logging curve, when the Th / U value is less than 1 and the GR value is greater than 210 API, accompanied by characteristic changes in resistivity and acoustic transit time, the top and bottom plates of the ore body section and the mineralization thickness can be determined.

[0095] Step S40: Based on the identification results of each single well, perform interlayer oxidation zone and planar mineralization zone distribution tracking to generate a mineralization enrichment zone range map of the target area.

[0096] Specifically, based on the single-well identification results, the distribution tracking of interlayer oxidation zones and ore-forming zones is further performed. Specifically, by analyzing the spatial distribution characteristics of each single well (relative position, depth, and stratigraphic variation trends between well locations), the distribution results of the top and bottom plates of the ore body and the ore-forming section of each single well are combined to track the spatial continuity of the ore-forming zone. The distribution analysis of the interlayer oxidation zone utilizes the variation law of Th / U values ​​in the single-well profile, while the tracking of the planar ore-forming zone combines the lateral variation characteristics of the single-well ore body distribution to form an overall ore-forming distribution model from single wells to the region.

[0097] Furthermore, through comprehensive analysis of the identification results from each individual well, a map of the mineralized enrichment zone in the target area is generated. This map not only reflects the spatial distribution of the interlayer oxidation zone but also clarifies the thickness, boundaries, and enrichment characteristics of the mineralized zone. This process, by integrating the results from individual wells into a regional prediction map, realizes the transformation from local identification to regional prediction of ore bodies, providing a scientific basis for exploration decisions.

[0098] Step S50: Optimize the well location deployment scheme based on the metallogenic enrichment zone range map of the target area, and output the metallogenic enrichment zone range map and the optimized well location deployment scheme.

[0099] Specifically, enrichment zones are identified based on the mineralized enrichment zone range map of the target area, and optimized wells are determined as deployment locations based on the identified enrichment zones; the optimized well deployment locations and the mineralized enrichment zone range map of the target area are visualized to obtain visualized chart data; the visualized chart data is pushed to the user terminal.

[0100] In this embodiment of the invention, uranium enrichment zones within a target area are identified using a map showing the extent of ore-bearing enrichment zones. Based on the spatial distribution characteristics of the ore-bearing enrichment zones (such as the top and bottom plates, thickness, and lateral enrichment range of the ore body) and the distribution patterns of interlayer oxidation zones, mineralization enrichment areas are precisely delineated. These enrichment zones typically correspond to areas with high resource potential and are the preferred targets for well site deployment.

[0101] Furthermore, based on the identified enrichment zones and in accordance with well network optimization design principles (such as minimum well spacing and coverage of the largest enrichment area), the optimized well locations are determined. Well location selection considers not only the central location of the enrichment zone but also factors such as stratigraphic structure, reservoir characteristics of the calcareous sandstone, and exploration economics to ensure efficient resource development. Subsequently, the optimized well locations are combined with a map of the mineralized enrichment zone extent to generate visualized chart data. By intuitively marking the mineralized enrichment zone extent map, the optimized well location deployment results are presented graphically, including detailed information such as the geographical location of the wells, well network layout, target depth, and well spacing. The generated visualized chart data can intuitively reflect the correspondence between well locations and enrichment zones, providing users with clear decision-making basis.

[0102] Furthermore, by pushing visualized charts and data to users, they can view the distribution of mineralized enrichment zones in the target area and the optimized well placement plan in real time. This process enhances the visualization of exploration planning and the convenience of user decision-making.

[0103] Example 1: The calcareous sandstone identified using this method shows excellent agreement with core descriptions and lithological data (e.g.) Figure 13 (As shown). The thicker the calcareous sandstone interlayers and the more stable the aquatic environment, the richer and more stable the ore body. The ore bodies identified using this chart show good correlation.

[0104] Example 2: like Figure 13A standard chart comparing environmental profiles of different stages of the oxidation zone in the inversion tectonic zone was established. Based on multi-directional profiles from wells in the study area, the overall environmental profile shows that the top and bottom of the ore body are mostly relatively dense oxidized sandstone bodies. The sandstone bodies in the ore-forming zone have relatively good porosity and permeability conditions and are gray sandstone bodies, with some sandstone bodies showing a yellow hue. These are distributed in the contact zone between the top and bottom of the ore body and the red sandstone. The environmental profile shows that from the oxidation zone to the reduction zone, the red sandstone gradually decreases while the gray sandstone gradually increases, and the average TH / U ratio decreases. Whether in plan view or cross section, the rich ore body is distributed in zones where the two types of sandstone bodies alternate, or where the TH / U ratio alternates between oxidized (TH / U>7) and reduced (TH / U<1). This chart can be used to roughly determine the geochemical environment of the well section. The yellow post-oxidation zone in the inversion zone appears on the reducing environment side. This is formed after the inversion, when the stratigraphic dip changes, and the leaching of red sandstone fades and stains the gray sandstone. This is also a marker of the ore body's appearance. In this case, the ore body is usually distributed in gray sandstone between red and yellow sandstone, and the ore body is relatively rich. The location of the ore body can be roughly identified by this map when an inversion structure appears.

[0105] like Figure 14 A cross-sectional diagram showing the relationship between oxidation / reduction zones and ore body distribution reveals that ore bodies are all distributed in environments with a TH / U ratio < 1, unrelated to uranium anomalies. As shown in the cross-section, in areas with relatively gentle tectonics, the environmental distribution is more stable, while the ore bodies are all controlled within the mineralization environment. The ore body distribution does not perfectly match the geochemical environment distribution because the ore body distribution is also related to the sedimentary environment and subsequent leaching. For clarity, the cross-section shows a main continuous environmental distribution, and the distribution of thin-layer ore bodies also conforms to the pattern shown in this cross-section. Therefore, this invention proposes a geochemical environmental stratification method, in which ore bodies are all distributed in the reduction zone. The absence of a TH / U curve column indicates the mineralization environment distribution segment.

[0106] Example 3: A method for predicting mineralized enrichment zones using map plots is created, specifically including: S1: Establish a geochemical environmental stratification scheme Current stratification schemes have several problems: excessively thick layers make orebody numbering difficult, while excessively thin layers result in some orebody crossing between layers, leading to issues of orebody segmentation and stratum attribution. The main reason for these problems is the rapid changes in sand bodies and the scarcity of stable sand bodies in the study area, making stratification difficult. However, mineralization is not actually controlled by a single sand body layer, but rather by the geochemical environment. Therefore, stratification based on geochemical environmental parameters avoids these issues. Furthermore, stratigraphic deposition periods and changes in the geochemical environment are usually not entirely synchronous. Therefore, this study will use a geochemical environmental stratification scheme based on thorium-uranium ratios for future research.

[0107] The specific steps are as follows: Step 1: Divide the TH / U ratio calculation results into three categories: TH / U>7, TH / U<1, and intermediate values, respectively defined as Environment I, Environment II, and Environment III. Step 2: Based on the phases in the geochemical environment stratification scheme, establish geochemical environment well-connected profiles. Following the principle of connecting the environment at the same depth as adjacent wells, trace the mineralization from pure oxidation zone to pure reduction zone. Following this sequence, the ore body changes from thin to thick and from poor to rich. After reaching a thick industrial ore layer, transition to the next interlayer oxidation zone mineralization phase.

[0108] S2: Depositional Environment Identification The sedimentary environment is comprehensively determined using factors such as spontaneous potential, resistivity, and lithology. The morphology of standard sedimentary microfacies curves is calibrated to identify the sedimentary microfacies of a single well. In this invention, the environmental determination mainly focuses on the identification of baffles, including mudstone baffles and calcareous sandstone baffles, using parameters of the calcareous sandstone baffle for identification.

[0109] S3: Establish profile maps: including geochemical environment profiles, ore body profiles, and comprehensive environmental profiles of metallogenic belts.

[0110] S4: Tracking method in the vertical direction of the metallogenic belt: The specific method for determining whether a metallogenic belt exists at a certain depth is as follows: 1) Well logging curves and lithological data are processed into standard chart formats. By comparing these charts, the geochemical environment and distribution of calcareous sandstone in a single well can be determined. If the geochemical environment is favorable, calcareous sandstone can be searched for as the top and bottom plates. If both top and bottom plates of calcareous sandstone are present and the geochemical environment is mineralization-enhancing, it is highly likely to be identified as a mineralization zone.

[0111] 2) Alternatively, one can first look for the top and bottom calcareous sandstone, and then look for the surrounding environment. If both conditions are met, the mineralization is established.

[0112] 3) Use the above-mentioned standard orebody chart to determine mineralization. S5: Apply the above-mentioned chemical environment map to determine the environment. A stable reducing environment within an oxidation-reduction environment is considered a favorable ore-enrichment zone. The geochemical environment is within the ore-forming zone. Using the ore-forming environment profile map of this invention to determine the location of the ore-forming section requires combining porosity-permeability curves, core data, and thorium-Th curve values ​​for a comprehensive judgment. This can predict the ore-enrichment sections in the general survey area and detailed survey area.

[0113] Example 4: A method for tracing mineralization zones using planar analysis is proposed. Mineralization occurs during the transition from an oxidizing to a reducing environment, with ore bodies concentrated in the transition bands. As the reducing environment intensifies, the ore bodies gradually thin, transitioning to the next interlayer oxidizing zone, thus transitioning to the next mineralization stage. As shown in the figure, the thorium-uranium ratio curve shows a significant transition from a predominantly red distribution to a predominantly white band, all of which represent favorable mineralization zones. The specific steps for tracing these mineralization zones are as follows: Step 1: Divide the stratigraphic layers according to the geochemical environmental stratification scheme. Step 2: Establish a phased interlayer oxidation zone planar map based on the phases of the interlayer oxidation zone (this interlayer oxidation zone planar map can objectively reflect the geochemical environment of the interlayer oxidation zone, and the stratigraphic deposition period and the change of geochemical environment are usually not completely synchronous), forming a distribution map of the interlayer oxidation zone for a certain phase.

[0114] Step 3: Project each phase of the metallogenic environment zone onto a planar map to ultimately determine the boundaries of the multi-phase pure oxidation zone, ore zone, anomalous zone, and unoxidized zone. Project the boundaries of each phase of geochemical environment zoning onto a planar map, and simultaneously project the boundaries of the multi-phase oxidation zone and unoxidized zone onto the plane to delineate the planar distribution range of the multi-phase metallogenic zone and anomalous zone, and determine the favorable metallogenic zone.

[0115] Step 4: Combine the calcareous sandstone with the tectonic map to trace the development range of the calcareous sandstone and project it onto the plan view.

[0116] Step 5: The distribution range of the multi-stage superimposed mineralization zones, anomaly zones, and calcareous sandstone is the range of favorable mineralization areas, forming the range of the ore body planar enrichment zone.

[0117] This invention creatively proposes a method for identifying ore bodies using "geochemical environment determination maps and metallogenic belt maps." This method can effectively track the environment simultaneously with the top and bottom plates of the reservoir and the metallogenic environment, predicting metallogenic sections and ore body enrichment zones. This method has been tested in two areas of a region already in the detailed exploration area, and also tested in an exploration area, with predictions and deployments implemented. Practice has proven that this method of identifying sandstone-type uranium ore enrichment zones using maps has the function of predicting the depth and planar distribution range of ore bodies. This method can be used to predict ore bodies and deploy well locations in detailed exploration areas, effectively avoiding issues such as ore body cross-layers, reserve attribution, and reserve segmentation. More than 1800 wells have been used for comprehensive geochemical environment profiles, with a standard map conformity rate of over 95%. A total of 50 profiles have been established in the application area, predicting two favorable areas and deploying 15 well locations. Implementation is planned for next year, with very promising results expected. Application in the southern region with sparse well locations has shown conformity with standard maps. Plans are underway to test in regional exploration areas to predict favorable areas. In addition, the application of this invention can form a new reserve estimation method that is more in line with the mineralization law; it can provide more accurate parameters for the deployment of well networks in the later stage of development; this invention can identify the mineralization of new areas and predict favorable areas; after the application of this method, the effect of improving the mineralization rate and other indicators can be seen in this year, and the effect of other aspects can be seen within three years. The economic benefits depend on the scope of application and the promotion and application.

[0118] Figure 15 This is a system structure diagram of a sandstone-type uranium deposit enrichment zone identification system provided in one embodiment of the present invention. Figure 15 As shown, this invention provides a system for identifying sandstone-type uranium ore enrichment zones. The system includes: a data acquisition unit for acquiring well logging data of a target area and performing secondary interpretation on the well logging data to obtain corresponding key parameters; a model building unit for establishing geochemical environment maps, calcareous sandstone identification maps, and metallogenic zone maps based on the key parameters to form a standard model for ore body identification; a single-well identification unit for determining the distribution of the top and bottom plates and metallogenic sections of the ore body in a single-well profile based on the standard model, and obtaining the identification results of each single well; a regional identification unit for tracking the distribution of interlayer oxidation zones and planar metallogenic zones based on the identification results of each single well, and generating a metallogenic enrichment zone range map of the target area; and an output unit for optimizing the well location deployment scheme based on the metallogenic enrichment zone range map of the target area, and outputting the metallogenic enrichment zone range map and the optimized well location deployment scheme. The present invention also provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the above-described method for identifying sandstone-type uranium ore enrichment zones.

[0119] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a microcontroller, chip, or processor to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0120] The optional embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details described above. Within the scope of the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical solutions of the embodiments of the present invention, and these simple modifications all fall within the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe the various possible combinations.

[0121] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the embodiments of the present invention, they should also be regarded as the content disclosed by the embodiments of the present invention.

Claims

1. A method for identifying sandstone-type uranium deposit enrichment zones, characterized in that, The method includes: Collect well logging data of the target area and perform secondary interpretation on the well logging data to obtain the corresponding key parameters; Based on the aforementioned key parameters, geochemical environment maps, calcareous sandstone identification maps, and metallogenic belt maps were established to form a standard model for ore body identification. Based on the standard model, the distribution of the top and bottom plates of the ore body and the ore-forming section is determined in the single-well profile, and the identification results of each single well are obtained. Based on the identification results of each individual well, the distribution of interlayer oxidation zones and planar mineralization zones is tracked to generate a map of the mineralization enrichment zone range in the target area; The well location deployment scheme is optimized based on the metallogenic enrichment zone range map of the target area, and the metallogenic enrichment zone range map and the optimized well location deployment scheme are output.

2. The method according to claim 1, characterized in that, The secondary interpretation of the well logging data to obtain the corresponding key parameters includes: The well logging data is subjected to secondary interpretation to extract nuclear parameters reflecting the geochemical and sedimentary environments, which are then used as corresponding key parameters.

3. The method according to claim 1, characterized in that, The key parameters include: Thorium-uranium ratio, natural gamma ray, core color, elemental content, resistivity, acoustic transit time, and porosity are all or one of the following: The elemental content includes any one or more of the following: uranium content, thorium content, and potassium content.

4. The method according to claim 3, characterized in that, The rules for constructing the geochemical environment map are as follows: The key parameters related to the obtained geochemical environment were divided into multiple numerical ranges based on the geochemical environment stratification standard, and the parameter statistical results were obtained. Based on the statistical results of parameters, the curve shape, continuous thickness and anomaly boundary value definitions of various geochemical environments are implemented as the judgment rules; Based on the determination rules, the spatial variation characteristics of key parameters related to each geochemical environment are analyzed in each geochemical environment. Based on these spatial variation characteristics, an identification map of each geochemical environment is generated, which serves as the geochemical environment map.

5. The method according to claim 4, characterized in that, Key parameters related to the geochemical environment include core color, natural gamma, elemental content, and thorium-uranium ratio; Various geochemical environments include: Any one or more of the following: oxidation zone energy dispersive spectroscopy logging geochemical environment, oxidation-reduction transition zone energy dispersive spectroscopy logging geochemical environment, mineralization zone energy dispersive spectroscopy logging geochemical environment, anomaly zone energy dispersive spectroscopy logging geochemical environment, and unoxidized zone energy dispersive spectroscopy logging geochemical environment.

6. The method according to claim 5, characterized in that, The spatial variation characteristics of the identification charts for the oxidation zone energy dispersive spectroscopy well geochemical environment simultaneously satisfy the following rules: The thorium-uranium ratio of the continuous first preset stratum thickness is greater than the preset thorium-uranium oxide ratio; The proportion of red and / or yellow in the core color is greater than the preset first proportion threshold; The content of each element is the preset baseline value.

7. The method according to claim 5, characterized in that, The spatial variation characteristics of the identification charts for the redox transition zone energy dispersive spectroscopy geochemical environment simultaneously satisfy the following rules: The thorium-uranium ratio of the continuous first preset stratum thickness is between the preset thorium-uranium oxide ratio and the preset reduced thorium-uranium ratio; The ratio of red to gray in the core color is less than the specified ratio, and the proportion of red and gray is greater than the preset second proportion threshold. The absolute value of the difference between the content of each element and the corresponding preset benchmark value is greater than the preset absolute value threshold of the difference.

8. The method according to claim 5, characterized in that, The spatial variation characteristics of the identification charts for the mineralized zone energy dispersive spectroscopy geochemical environment simultaneously satisfy the following rules: The thorium-uranium ratio at the second consecutive preset stratum thickness is less than the preset reduced thorium-uranium ratio; The proportion of gray in the core color of the second consecutive preset stratum thickness is greater than the preset third proportion threshold; The absolute value of the difference between the element content of each element in the second consecutive preset formation thickness and the corresponding preset benchmark value is greater than the preset absolute value threshold for difference; The natural gamma of the second consecutive preset formation thickness is greater than the preset natural gamma threshold. The abrupt change in porosity relative to the baseline porosity is greater than a preset abrupt change threshold.

9. The method according to claim 5, characterized in that, The spatial variation characteristics of the identification charts for the anomalous band energy spectrum logging geochemical environment simultaneously satisfy the following rules: The magnitude of the thorium-uranium ratio between thin layers of a preset thickness and the magnitude relationship between each preset thorium-uranium ratio are repeatedly reversed; The relationship between the absolute value of the difference between the content of each element and the corresponding preset benchmark value and the preset absolute value threshold of the difference is repeatedly flipped; The relationship between the natural gamma of the preset formation thickness and the preset natural gamma threshold is repeatedly flipped between thin layers of preset thickness. The relationship between the abrupt change in porosity relative to the baseline porosity and the preset abrupt change threshold is repeatedly reversed.

10. The method according to claim 5, characterized in that, The spatial variation characteristics of the identification charts for the unoxidized zone energy dispersive spectroscopy well geochemical environment simultaneously satisfy the following rules: The fluctuation range of the thorium-uranium ratio within the second preset formation thickness is smaller than the first preset fluctuation range; The core color within the second preset stratum thickness that is greater than the fourth preset proportion threshold is the same as the core color of the parent rock. The fluctuation range of the content of each element within the second preset formation thickness is less than the second preset fluctuation range.

11. The method according to claim 3, characterized in that, The construction rules for the identification chart of calcareous sandstone are as follows: Based on the resistivity and acoustic transit time in the key parameters obtained, the resistivity and acoustic transit time in the state of calcareous sandstone were statistically analyzed. The resistivity threshold and acoustic transit time threshold are used to generate a metallogenic zone map based on the resistivity and acoustic transit time threshold in the calcareous sandstone state, and the identification rules for constructing the metallogenic zone map with the resistivity threshold and acoustic transit time threshold are also described.

12. The method according to claim 11, characterized in that, The identification rules for the limestone identification chart are as follows: The resistivity within the second preset formation thickness is greater than the resistivity threshold, and the acoustic transit time is less than the acoustic transit time threshold.

13. The method according to claim 3, characterized in that, The rules for constructing metallogenic belt maps are as follows: The reducing environment is identified from key parameters based on geochemical environment maps, and the reducing environment is identified from key parameters based on calcareous sandstone maps. Based on the results of the reduced environment identification and the identification of the calcareous sandstone, the mineralization area is predicted and the boundary of the predicted area is determined. The continuous thickness of the ore-forming area is determined based on the variation pattern of the well logging curve within the prediction area. Based on the predicted boundaries and continuous thickness of the metallogenic region, a metallogenic belt map is constructed.

14. The method according to claim 13, characterized in that, The rules that the metallogenic belt map must simultaneously satisfy are: The thorium-uranium ratio within the second preset formation thickness is less than the preset reduced thorium-uranium ratio threshold. The lithology identification result within the second preset stratum thickness is gray sandstone; The absolute value of the difference between the element content of each element in the second consecutive preset formation thickness and the corresponding preset benchmark value is greater than the preset absolute value threshold for difference; The natural gamma of the second consecutive preset formation thickness is greater than the preset gamma threshold. The abrupt change in porosity of the second consecutive preset formation thickness relative to the reference porosity is greater than the preset abrupt change threshold.

15. The method according to claim 1, characterized in that, The construction rules for the standard model for ore body identification are as follows: Geochemical environment identification is performed based on geochemical environment maps; calcareous sandstone identification is performed based on calcareous sandstone identification maps; and top and bottom septa of ore-forming belts are identified based on ore-forming belt maps. By combining the variation characteristics of well logging curves, as well as the geochemical environment identification results, calcareous sandstone identification results, and top and bottom partition identification results of ore-forming belts, identification models for standard ore-forming belts and / or special ore-forming belts are established, serving as standard models for ore body determination.

16. The method according to claim 15, characterized in that, The rule for identifying the standard metallogenic belt is that within the identified metallogenic belt, the metallogenic belt map must be satisfied. The special metallogenic belt includes: Any one or more of the following: weathered leached limestone karst pore-type minerals, residual adsorption type minerals in evaporation environment limestone interlayers, and sedimentary sandstone and mudstone partition minerals.

17. The method according to claim 16, characterized in that, The identification model for weathered leached limestone karst porous mineralization is based on the existence of some thorium-uranium ratio values ​​greater than a preset reduced thorium-uranium ratio threshold within the identified mineralization zone. The identification model for residual adsorption-type minerals in limestone interlayers of the evaporation environment is the presence of red silty mudstone or mudstone within the identified mineralization zone. The identification model for sedimentary sandstone and mudstone partition deposits is that within the identified mineralization zone, there is a missing top or bottom layer of calcareous sandstone.

18. The method according to claim 1, characterized in that, The process of determining the distribution of the top and bottom plates of the ore body and the ore-forming section in a single-well profile based on the standard model, and obtaining the identification results of each single well, includes: Collect actual logging data from each individual well, and perform analysis on the actual logging data based on the standard model to obtain the distribution of the top and bottom plates of the ore body and the ore-forming section within the corresponding individual well area, which serves as the identification result of the individual well. Based on the identification results of each individual well, the distribution tracking of interlayer oxidation zones and planar mineralization zones is performed to generate a mineralization enrichment zone range map of the target area, including: Based on the spatial distribution characteristics of each well, the identification results of each individual well are combined to generate a map of the mineralized enrichment zone range of the target area.

19. The method according to claim 1, characterized in that, The optimized well location deployment scheme based on the metallogenic enrichment zone range map of the target area, and the output of the metallogenic enrichment zone range map and the optimized well location deployment scheme, includes: Enrichment zones are identified based on the range map of the mineralized enrichment zones in the target area, and the optimized wells are determined based on the identified enrichment zones as deployment locations. The optimized well deployment location and target area metallogenic enrichment zone range map are visualized to obtain visualized chart data; The visualized icon data is pushed to the user's device.

20. A system for identifying sandstone-type uranium deposit enrichment zones, characterized in that, The system includes: The acquisition unit is used to acquire well logging data of the target area and perform secondary interpretation on the well logging data to obtain the corresponding key parameters; The model building unit is used to build geochemical environment maps, calcareous sandstone identification maps, and metallogenic belt maps based on the key parameters, so as to form a standard model for ore body identification. A single-well identification unit is used to determine the distribution of the top and bottom plates and ore-forming sections of the ore body in a single-well profile based on the standard model, and to obtain the identification results of each single well. The regional identification unit is used to perform interlayer oxidation zone and planar metallogenic zone distribution tracking based on the identification results of each single well, and generate a metallogenic enrichment zone range map of the target area; The output unit is used to optimize the well location deployment scheme based on the metallogenic enrichment zone range map of the target area, and output the metallogenic enrichment zone range map and the optimized well location deployment scheme.

21. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the method for identifying sandstone-type uranium-rich zones as described in any one of claims 1-19.

Images