Metallization prediction method, system and equipment based on relation between alteration structure and space gamma field and medium

Abstract

The invention discloses a metallogenic prediction method, system and equipment based on the relation between an alteration structure and a space gamma field, and a medium, and relates to the technical field of metal mine detection. The method comprises the following steps: acquiring target geological data; positioning according to the ore body circle position of the borehole profile map, and then constructing a spatially independent or continuous spatial polyhedral map in a three-dimensional space along the trend of a corresponding tectonic alteration zone to obtain an ore body model; preprocessing the drilling gamma logging data and the drilling space data, and constructing a space gamma field model according to the preprocessed data; performing section combination on the space gamma field models of different levels and the ore body model, and determining a relationship between an alteration structure and a space gamma field according to combination conditions in different measurement area ranges; and analyzing the rock mass distribution of the target mine by using the relationship between the alteration structure and the space gamma field, and delineating the final position of the target mine. According to the method, the favorable metallogenic part can be predicted according to the relationship between the alteration structure and the space gamma field.

Description

Technical Field

[0001] The present invention relates to the technical field of metal ore detection, and particularly to a mineralization prediction method, system, device and medium based on the relationship between alteration structures and spatial gamma fields. Background Art

[0002] In the fields of geological exploration and mineral resource assessment, traditional geological modeling and ore body prediction methods mainly rely on two-dimensional geological maps and borehole data. These methods have limitations in dealing with complex geological structures and multi-source data. With the development of computer technology, three-dimensional geological modeling and spatial data analysis technologies have gradually become important tools for geological research. These technologies can more intuitively display the spatial relationships of geological bodies and improve the accuracy of ore body prediction.

[0003] The existing technologies have the following deficiencies in dealing with ore body prediction under complex geological conditions:

[0004] Firstly, traditional geological modeling methods are difficult to effectively integrate multi-source geological data, resulting in limited model accuracy. Secondly, existing spatial gamma field models are mostly of a single type and cannot comprehensively reflect the spatial characteristics of ore bodies. Finally, there is a lack of quantitative three-dimensional spatial analysis of the spatial distribution characteristics of current ore and its relationship with geological structures. Summary of the Invention

[0005] The purpose of the present invention is to provide a mineralization prediction method, system, device and medium based on the relationship between alteration structures and spatial gamma fields, which can perform spatial modeling of various geological bodies according to the data requirements of different geological body objects, and predict favorable ore-forming parts based on the relationship between alteration structures and spatial gamma fields.

[0006] To achieve the above purpose, the present invention provides the following solutions:

[0007] A mineralization prediction method based on the relationship between alteration structures and spatial gamma fields, comprising:

[0008] Obtaining target geological data; the target geological data includes borehole profile diagrams, borehole gamma logging data and borehole spatial data;

[0009] Positioning according to the ore body delineation position in the borehole profile diagram, and then constructing spatial independent or continuous spatial polyhedrons along the strike of the corresponding tectonic alteration zone in three-dimensional space to obtain an ore body model;

[0010] Preprocessing the borehole gamma logging data and the borehole spatial data, and constructing a spatial gamma field model according to the preprocessed data; the spatial gamma field model includes a spatial gamma high deviation field model, a spatial gamma high field model and a spatial gamma anomaly field model;

[0011] Perform cross-section combination of spatial gamma field models at different levels with the ore body model, and determine the relationship between alteration structures and the spatial gamma field based on the combination conditions within different survey areas;

[0012] Analyze the rock mass distribution of the target ore using the relationship between the alteration structure and the spatial gamma field, and delineate the final location of the target ore.

[0013] Optionally, preprocess the borehole gamma logging data and the borehole spatial data, and construct a spatial gamma field model based on the preprocessed data, specifically including:

[0014] Perform set iterative rejection processing on the borehole gamma logging data, calculate the average value and variance of the processed data, and determine the intensity level of the spatial gamma field according to the calculation results; the intensity levels include a relatively high field, a high field, and an abnormal field;

[0015] Based on the borehole spatial data, perform spatial isometric calculation and mapping using 3D modeling software, and perform hierarchical processing according to the intensity level to obtain a spatial gamma relatively high field model, a spatial gamma high field model, and a spatial gamma abnormal field model.

[0016] Optionally, before constructing the ore body model and the spatial gamma field model, it further includes: constructing a spatial database; the spatial database is used to provide data services for spatial modeling.

[0017] Optionally, the construction requirements of the spatial database include: data input, data management, data processing, and data output; among them, the data input includes the collection and input of logging data, the collection and input of inclinometry data, and the collection and input of logging data; the data management includes borehole management, project management, and user management; the data processing includes data preprocessing, logging content calculation, logging data statistics, logging data mapping, and spatial coordinate calculation; the data output includes logging result output, logging report output, and spatial data output.

[0018] Optionally, the system structure of the spatial database includes an inclinometry module, a logging module, a logging module, a sampling module, and an instrument management module; among them, the inclinometry module is used to store and manage the inclinometry data of each borehole, and generate borehole spatial data in combination with the collar coordinate data and logging data; the logging module is used to store and manage logging data, and perform data preprocessing, content calculation, and generate logging results; the logging module is used to store and manage borehole logging data and sampling analysis data to assist in result analysis; the instrument management module is used to store and manage various parameter data of the instrument.

[0019] The present invention also provides a metallogenic prediction system based on the relationship between alteration structures and the spatial gamma field, including:

[0020] A data acquisition unit for obtaining target geological data; the target geological data includes borehole profile diagrams, borehole gamma logging data, and borehole spatial data;

[0021] An ore body model construction unit for positioning according to the ore body delineation position of the borehole profile diagram, and then constructing spatial polyhedra diagrams independently or continuously in three-dimensional space along the strike of the corresponding tectonic alteration zone to obtain an ore body model;

[0022] A spatial gamma field model construction unit for preprocessing the borehole gamma logging data and the borehole spatial data, and constructing a spatial gamma field model according to the preprocessed data; the spatial gamma field model includes a spatial gamma high deviation field model, a spatial gamma high field model, and a spatial gamma anomaly field model;

[0023] A correlation analysis unit for combining cross-sections of spatial gamma field models at different levels with the ore body model, and determining the relationship between alteration structures and the spatial gamma field according to the combination conditions within different survey areas;

[0024] A target ore delineation unit for analyzing the rock mass distribution of the target ore by using the relationship between the alteration structure and the spatial gamma field, and delineating the position of the final target ore.

[0025] The present invention also provides an electronic device, including a memory and a processor, the memory is used for storing a computer program, and the processor runs the computer program to enable the electronic device to execute the ore-forming prediction method based on the relationship between alteration structures and the spatial gamma field as described above.

[0026] The present invention also provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, it implements the ore-forming prediction method based on the relationship between alteration structures and the spatial gamma field as described above.

[0027] According to the specific embodiments provided by the present invention, the following technical effects are disclosed by the present invention:

[0028] The present invention discloses a mineralization prediction method, system, device and medium based on the relationship between alteration structures and spatial gamma fields. The method includes obtaining target geological data; positioning according to the ore body delineation position in the borehole profile diagram, and then constructing spatial polyhedrons independently or continuously in three-dimensional space along the strike of the corresponding tectonic alteration zone to obtain an ore body model; preprocessing the borehole gamma logging data and borehole spatial data, and constructing a spatial gamma field model based on the preprocessed data; combining the spatial gamma field models at different levels with the ore body model in a profile, and determining the relationship between the alteration structure and the spatial gamma field according to the combination situation within different survey areas; analyzing the rock mass distribution of the target ore using the relationship between the alteration structure and the spatial gamma field, and delineating the final position of the target ore. The present invention can perform spatial modeling of various geological bodies according to the data requirements of different geological body objects, and predict favorable ore-forming parts based on the relationship between the alteration structure and the spatial gamma field. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0030] Figure 1 It is the structural design diagram of the geophysical exploration database system in this embodiment;

[0031] Figure 2 It is the structural design diagram of the spatial database system in this embodiment;

[0032] Figure 3 It is the flowchart of the three-dimensional comprehensive model generated by the database-supported modeling software in this embodiment;

[0033] Figure 4 It is the relationship diagram between the alteration type and the uranium ore grade in this embodiment;

[0034] Figure 5 It is the schematic flowchart of the mineralization prediction method based on the relationship between the alteration structure and the spatial gamma field in this embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0036] The object of the present invention is to provide a mineralization prediction method, system, device and medium based on the relationship between altered structures and spatial gamma fields, which can perform spatial modeling of various geological bodies according to the data requirements of different geological body objects, and predict favorable mineralization sites based on the relationship between altered structures and spatial gamma fields.

[0037] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0038] As Figures 1-5 shown, the present invention provides a mineralization prediction method based on the relationship between altered structures and spatial gamma fields, including:

[0039] Step 100: Obtain target geological data; the target geological data includes borehole profile diagrams, borehole gamma logging data, and borehole spatial data.

[0040] Step 200: Locate according to the ore body delineation position in the borehole profile diagram, and then construct spatial polyhedra independently or continuously along the corresponding tectonic alteration zone trend in three-dimensional space to obtain an ore body model.

[0041] Step 300: Preprocess the borehole gamma logging data and the borehole spatial data, and construct a spatial gamma field model according to the preprocessed data; the spatial gamma field model includes a spatial gamma high deviation field model, a spatial gamma high field model, and a spatial gamma anomaly field model.

[0042] Step 400: Combine spatial gamma field models of different levels with the ore body model in sections, and determine the relationship between altered structures and spatial gamma fields according to the combination conditions within different survey areas.

[0043] Step 500: Analyze the rock mass distribution of the target ore using the relationship between the altered structures and the spatial gamma fields, and delineate the final position of the target ore.

[0044] As a specific embodiment, the detailed processing procedures of the above steps are provided.

[0045] First, for the research idea: systematically collect borehole data, engineering surveying and mapping data, geophysical exploration data, etc. in the working area, input them into the spatial database according to the modeling requirements to form a spatial data set, perform spatial modeling of various geological bodies according to the data requirements of different geological body objects, and then analyze the spatial distribution characteristics of uranium ore elements and their relationships with structures, alterations, lithological interfaces, etc., summarize the rules and predict favorable mineralization sites.

[0046] Secondly, for the research content: The research content is mainly divided into three parts: spatial database construction, spatial model construction, and spatial model analysis.

[0047] (1) Main contents of the spatial database research:

[0048] ① Design reasonable and scientific data table forms to store various data; ② Design work processes suitable for work needs to facilitate data entry, storage, processing, etc.; ③ Design relevant functional models to help collect, regularize, calculate, convert, output data quickly and automatically; ④ Design intuitive and convenient operation interfaces to serve various operations.

[0049] (2) Main research contents of spatial model construction:

[0050] ① Conduct scientific classification according to the properties, attributes, uses, etc. of geological bodies; ② Quickly and accurately build models with the help of the spatial database; ③ Three-dimensional construction of different types of models; ④ Model integration between different platforms.

[0051] (3) Main research contents of spatial model analysis:

[0052] ① Observation and analysis of the spatial characteristics of the spatial model; ② Analysis and summary of the mutual relationships between spatial models; ③ Prediction of favorable ore-forming areas; ④ Production of spatial model result maps.

[0053] Finally, for the research methods:

[0054] (1) The spatial database is compiled jointly using Access + Vb.net on the basis of analyzing work requirements and referring to other geographical information databases.

[0055] (2) The spatial model is made using software such as 3Dmax, Autocad, Surpac, etc., and the spatial models made by different software are integrated on the same work platform for inspection and analysis.

[0056] (3) The spatial model analysis uses means such as mathematical statistics, combination, projection, sectioning, etc. for spatial comparative observation, and combines with the metallogenic theory of granite-type uranium deposits to summarize the uranium metallogenic characteristics and predict favorable ore-forming areas.

[0057] During the project implementation process, first use VB.NET programming means to build a spatial database to store and manage information such as drilling data, geophysical exploration data, and survey data, and then make full use of relevant professional software to build models of relevant geological bodies. For example, use the DSI (Discrete Smooth Interpolation) based on surface interpolation technology in Gocad for interpolation and connection of spatial structures and lithological interfaces into surfaces, use Voxler for calculation and drawing of spatial isosurfaces of gamma fields and alteration halos, use Surpac for delineation of spatial ore bodies and management of spatial data, and conduct integration and revision of spatial model bodies in 3Dmax.

[0058] After the above work, the production of models such as the spatial structure model, spatial alteration model, spatial rock mass model, spatial gamma field model, spatial drilling model, three-dimensional terrain model, and survey network was completed. The spatial models were observed and analyzed from multiple angles, and the distribution characteristics of the spatial gamma field and its relationships with the spatial structure model, spatial alteration model, and spatial rock mass model were summarized. Based on the distribution characteristics of the spatial gamma field, the distribution characteristics of structures, and the variation characteristics of alteration halos, etc., the favorable ore-forming areas in the working area were predicted.

[0059] Work practice has proved that the combination of database technology and three-dimensional modeling technology has enhanced the ability to process large amounts of data, accelerated the data processing speed, improved the means of expression in geoscientific research, and enhanced the information integration ability, making a beneficial exploration for deep prospecting research.

[0060] As another specific implementation method, the spatial database is mainly for increasing the data storage capacity and facilitating data management, providing data services for spatial modeling.

[0061] Purpose of the requirement analysis and design of the spatial database:

[0062] Data processing in actual work mainly includes four types of requirements: data input, data management, data processing, and data output. The specific tasks are as Figure 1 .

[0063] Data input tasks include: logging data acquisition and input, inclinometer data acquisition and input, logging data acquisition and input, etc.; data management tasks include: drilling management, project management, user management, etc.; data processing tasks include: data preprocessing, logging content calculation, logging data statistics, logging data mapping, spatial coordinate calculation, etc.; data output tasks include: logging result output, logging report output, spatial data output, etc.

[0064] The purpose of building the spatial database is mainly to serve the spatial modeling of geological bodies in the long row working area, and can quickly collect data, store data, manage data, process data, calculate spatial data, and output results, etc.

[0065] Design of the system structure of the spatial database:

[0066] Based on the work requirement analysis and aiming at the spatial modeling of geological bodies in the working area, the system structure of the database was designed according to the existing conditions, as Figure 2 shown.

[0067] The database system is mainly divided into five major parts: inclinometer module, logging, logging, sampling, and instrument management.

[0068] The inclinometer part mainly stores and manages the inclinometer data of each borehole. Combining the orifice coordinate data and the logging data, borehole spatial data can be generated to prepare for spatial modeling. The logging part mainly stores and manages the logging data, and performs preprocessing, content calculation, generation of logging results, etc. The logging result data can be appended to the borehole spatial data to provide uranium element distribution information for the borehole spatial model. The logging and sampling part mainly stores and manages the borehole logging data and sampling analysis data to assist in result analysis. The instrument part mainly stores and manages the parameter data of the instrument to facilitate logging content calculation and quality assessment.

[0069] Preparation of radioactive logging content data for boreholes:

[0070] The radioactive logging content data of boreholes needs to be statistically analyzed and classified to prepare for work such as spatial gamma field modeling.

[0071] The levels of gamma exposure rates of various rocks are related to lithology and ore-bearing tectonic alteration zones. In the center of the tectonic alteration zone, silicified cataclastic rocks, hematitized silicified cataclastic rocks, cataclastic granite, silicified cataclastic granite, silicified hematitized cataclastic granite, sericitized silicified cataclastic granite, etc. have high gamma exposure rates and are the main ore-bearing lithologies; sericitized biotite granite, sericitized hematitized biotite granite, sericitized biotite granite, etc. on both sides of the tectonic alteration zone have relatively high gamma exposure rates; normal wall rocks such as biotite granite and two-mica granite have relatively low gamma exposure rates. By statistically analyzing the gamma logging data, the variation ranges of gamma exposure rates of various lithologies are very large, and the standard deviation also varies greatly, reflecting frequent hydrothermal activities in the area. After the rocks are hydrothermally altered, uranium is activated, transformed, migrated and redistributed in the rocks, and is re-enriched under specific geochemical environments, resulting in extremely uneven distribution of rock gamma exposure rates.

[0072] Using the spatial data processing module of the spatial database, the radioactive logging content data can be processed in terms of format rules, error checking and correction, iterative elimination, mathematical statistics and classification, and assignment of borehole spatial coordinate attributes, etc., to obtain data suitable for spatial modeling. Then, clustering and grading are carried out according to the control areas of different tectonic alteration zones, and independent models such as No. 61 tectonic alteration zone, No. 60 tectonic alteration zone, and No. 9 tectonic alteration zone are constructed respectively, and then integrated on the same platform for comprehensive observation and comparative study.

[0073] Spatial model making:

[0074] Different modeling software has different modeling functions. For example, using Mapgis software and Arcgis software, it is convenient to edit and analyze surface basic geographical elements and basic geological elements; using 3Dmax software, spatial extraction of geological profiles and editing of spatial positions of geological elements can be carried out; using Surpac software, spatial connection and three-dimensional mapping of structural profiles, ore body profiles, rock mass distribution, etc. can be carried out, and spatial database management is supported; using Voxler software, a three-dimensional isosurface model of spatial gamma field can be generated according to the uranium element distribution density grade, etc. Combining relevant modeling software, the process of generating a spatial comprehensive model by three-dimensional modeling software with the support of a database is as follows Figure 3 .

[0075] The specific process is as follows: First, place and splice the geological profile and plan view of the working area in the three-dimensional space according to the positional relationship, then extract relevant profile elements such as structures and ore bodies, classify them according to the regular attributes such as the spatial position, influence range, and spatial distribution trend of the elements, and then perform operations such as spatial connection, splicing, tracing, and interpolation on the classified profiles to connect them into a surface model, and after operations such as node optimization and solidification, it is presented as an entity model of structures, ore bodies, alteration distribution, etc.

[0076] Spatial model results

[0077] Borehole model:

[0078] With the support of the spatial database, a spatial model of 105 boreholes in the working area was made using three-dimensional software. The borehole spatial model can display the spatial distribution position and shape of the boreholes, and can display the borehole numbers at the tops of the columns of each borehole model. It can also display information such as lithological stratification patterns, logging curves, and logging contents on or beside each borehole model column, which is convenient for spatial observation and inspection of borehole data and comparison with other geological body models, and can evaluate whether the detection positions of the boreholes are effective and the spatial control situation of other geological bodies.

[0079] Information such as lithological stratification, logging content, and alteration type can be attached to each borehole model column along with the depth, which can provide the preparation of spatial data required for modeling calculations for the next spatial gamma field, spatial rock mass model, and spatial alteration model.

[0080] Structural model:

[0081] The structural model of the working area is mainly built based on the No. 61, No. 60, and No. 9 structural belts and secondary structural belts such as No. 8 and No. 52. Among them, the No. 60 structural alteration belt is mainly controlled by the west area survey network, the No. 61 structural alteration belt is mainly controlled by the middle area survey network, and the east area survey network controls the No. 8, No. 9, No. 52 and other structural alteration belts.

[0082] The spatial model of the No. 61 structural alteration zone shows the following in terms of morphological manifestations: Generally, it extends stably along the strike and dip, with local branching, compounding, twisting and bending phenomena, and has a tensional structural property during the ore-forming stage. There are also secondary zones distributed on both sides of the No. 61 structural alteration zone, which may be favorable for ore formation.

[0083] The No. 60 structural alteration zone shows the following in terms of spatial morphology: Generally, it extends in a north-south direction along the strike, dips eastward, and may cross the No. 61 structural alteration zone at depth.

[0084] The morphological distributions of the No. 8, No. 9, and No. 52 structural alteration zones are all relatively complex and changeable, with tensional-torsional characteristics. The three structural alteration zones are approximately parallelly distributed in a northwesterly direction. The No. 9 structural alteration zone is in the middle, with the No. 8 structural alteration zone on its west side; the No. 52 structural alteration zone is on its east side, and there may be concealed secondary zones distributed between these two structural alteration zones. Generally, the three structural alteration zones all plunge northeastward.

[0085] Alteration model:

[0086] Generally, the alteration spatial model in the working area is similar to the spatial structural model in distribution, and its range gradually expands with increasing depth, showing characteristics of branching and compounding, swelling and shrinking.

[0087] Hydrothermal activities were intense during the ore-forming period in the zone. Alterations closely related to uranium mineralization such as silicification, hematitization, purple-black fluoritization, sericitization, calcite cementation, and chloritization are commonly seen. It has a zonal feature in the horizontal direction, that is, from the center of the structural zone to the outside, it is successively silicification → hematitization → sericitization → chloritization → kaolinization. Hydrothermal activities were also relatively intense after ore formation. Banded fluorite - quartz veins can be seen to occur, cementing the silicified rock breccia formed during the ore-forming period, indicating that the tectonic activities in the late ore-forming period have obvious tensional characteristics.

[0088] To reflect the relationship between different alterations and uranium ore grades, the borehole data of the ore-bearing lithology and logging content information of the No. 61, No. 60, and No. 9 structural alteration zones were respectively statistically analyzed. A relationship diagram between alteration types and uranium ore grades was made, as Figure 4 shown. It can be seen from Figure 4 that silicification and purple-black fluorite mineralization alterations are often related to high-grade uranium ore, followed by hematitization, and sericitization and chloritization are related to abnormal grades of uranium ore.

[0089] To reflect the distribution information of alterations in space, artificial digital empirical assignments were made to the alteration points distributed along the borehole model according to the contribution degree of alteration types to uranium mineralization for spatial calculation. The corresponding values for alteration types are shown in Table 1, and then an alteration spatial isosurface model was made using spatial isosurface calculation.

[0090] Table 1 Spatial calculation assignment table for alteration types in the Yangtze River ore concentration area

[0091]

[0092] Ore body model:

[0093] The ore body model is positioned according to the ore body delineation position in the borehole profile diagram, and then spatial polyhedrons are constructed independently or continuously in three-dimensional space along the strike of the corresponding tectonic alteration zone.

[0094] On the plane, the distribution of the red ore grade ore body is significantly reduced and more concentrated compared with the blue grade ore body. It is distributed within the No. 60 alteration zone in the western survey area; it appears in the No. 7 tectonic alteration zone in the central survey area; it is more densely distributed in the eastern survey area, which may be related to the relatively large number of control boreholes in this area.

[0095] From the profile diagram, the vertical depth range of the red ore grade ore body is -200 to 600 meters; overall, the ore body shows the characteristic of dipping northward.

[0096] Spatial gamma field model:

[0097] The uranium elements in a dispersed state underground migrate towards specific spaces under complex physical and chemical actions. After a long time, they are enriched in a favorable geological environment. Among them, the part that reaches the industrial index becomes the ore body, and the part that does not reach the industrial index forms a radioactive material halo. The halo wraps the ore body, and its range is much larger than that of the ore body, and the intensity gradually weakens outward with the increase of the diffusion distance. Therefore, by searching for radioactive ore halos, prospecting can be traced and guided, and the range of the ore halo is much larger than that of the ore body, making it easier to detect, which can reduce the difficulty of prospecting work and has strong practical value.

[0098] The spatial gamma field model can simulate the distribution intensity pattern of the ore halo underground. After iterative rejection processing of the borehole γ logging data, the average value and the mean square deviation are statistically obtained, and then the spatial gamma field is divided into a high deviation field, a high field, and an abnormal field according to the intensity level (Table 2), providing a basis for three-dimensional modeling stratification.

[0099] Table 2 Spatial gamma field division table

[0100]

[0101] After importing the borehole spatial data into the three-dimensional modeling software, spatial equivalent value calculation and mapping are carried out, and stratification is performed according to the intensity level, and spatial gamma high deviation field, spatial gamma high field, and spatial gamma abnormal field models are respectively made.

[0102] Radioactive halos are concentrated on a large scale in the deep north end of the central survey area, and there are also halos distributed in shallow positions. They are relatively continuous but the thickness is thinning and more dispersed, indicating that uranium elements tend to diffuse from deep to shallow. Radioactive halos in the western survey area are mainly distributed in the southern end of the survey area and are vertically continuous, with scattered distributions in the middle. Radioactive halos are relatively discrete in the eastern survey area, which should be caused by the large number of structural intersections in this area.

[0103] In order to comprehensively observe the gamma field distribution characteristics of the underground space in the working area, multiple horizontal sections can be superimposed and integrated into a cross-sectional diagram for overall information observation; similarly, the model can be sectioned vertically and multiple vertical sections can be superimposed and merged into a cross-sectional overlay diagram.

[0104] Spatial model analysis

[0105] Relationship between space gamma field and structure:

[0106] The spatial gamma field models and spatial structural models of different levels are combined to show that the high field, high field and abnormal field of the spatial gamma field in the western survey area are distributed at the intersection of the No. 60 structural alteration zone and the No. 61 structural alteration zone, indicating that uranium elements are concentrated at the intersection of the two structural zones.

[0107] In the central survey area, the spatial gamma-ray field halos of the No. 61 structural alteration zone are continuously clustered on a large scale, indicating a good uranium mineralization environment in this section.

[0108] The spatial gamma field in the eastern survey area is relatively scattered, mainly distributed in the deep intersection of the No. 8 structural alteration and the No. 9 structural alteration, reflecting a good mineralization environment.

[0109] Relationship between space gamma field and alteration:

[0110] The gamma field model and the spatial alteration halo model profile are superimposed and displayed. The gamma field and alteration halo in the central and western survey areas are closely associated with each other, while the gamma field and alteration halo in the eastern survey area are relatively discrete.

[0111] Gamma fields of different levels and alteration halo models are superimposed on one plane and displayed. Overall, the distribution of alteration halo is approximately parallel to the structural trend and is strictly controlled by the structural occurrence.

[0112] The alteration halo in the western survey area overlaps with the spatial gamma field, indicating that uranium mineralization and alteration are closely related in this area.

[0113] There are high-intensity halos distributed in the central survey area, which correspond to the gamma anomaly field; and the halo distribution corresponds to the intersection of belts 61 and 78, indicating that this area has good prospecting potential.

[0114] In the eastern survey area, the altered halos are less distributed along the No. 8 tectonic alteration zone, and are mainly distributed discretely along the No. 9 tectonic alteration zone and the No. 52 tectonic alteration zone in the form of strong altered halos. There is a corresponding spatial gamma anomaly field, but there is a separation at the corresponding position, indicating that the regional structure in the No. 9 alteration zone has a large distortion and the uranium element migration activity is strong.

[0115] Relationship between gamma field and rock mass:

[0116] The cross-section combinations of different-level spatial gamma fields and rock mass models are presented and observed separately within different survey areas. Due to the perspective relationship, some rock masses that are not closely related to the gamma field or block the line of sight will be hidden for convenient observation.

[0117] There are lamprophyre veins distributed in the northern part of the survey area, and the width of the lamprophyre vein bodies can reach 20 meters on the surface. The distribution of the high spatial gamma field and the high spatial gamma field is related to it, indicating that the chemical barrier formed by the basic rock veins makes a certain contribution to the enrichment of uranium elements.

[0118] The rock mass in this area dips northward as a whole, and the spatial gamma field also shows a distribution trend of gradually sinking northward, indicating that there is a certain correlation between the spatial gamma field and the spatial distribution of different rock masses.

[0119] The spatial gamma field is mostly distributed in the biotite granite rock mass, indicating that biotite granite makes a great contribution to uranium mineralization and controls the distribution of ore bodies. The distribution of biotite rock mass is relatively continuous, and the spatial gamma field also shows a continuous distribution characteristic in terms of distribution performance.

[0120] In terms of depth performance, above the elevation of 0m, on the contact interface of biotite granite with different grain sizes, there are distributions of high spatial gamma field and high spatial gamma field, indicating that uranium elements in the shallow layer are easily enriched due to lithological changes at the lithological interface, and the metallogenic law at the lithological interface is obvious.

[0121] Below the elevation of 0m, the spatial gamma field mainly appears in the biotite granite rock mass and is far from the contact interface between biotite granite and other lithologies. At the same time, the scale of the spatial gamma field becomes larger and the grade becomes higher. This shows that with the increase of depth, the distribution of uranium elements is more obviously affected by the distribution of medium-grained biotite rock mass and tectonic action. Biotite granite is a uranium-rich rock mass, which can provide abundant uranium sources for deep uranium mineralization; the deep tectonic movement is strong and large-scale, providing a larger-scale metallogenic space for uranium element enrichment and bringing deep uranium-rich hydrothermal fluids, providing good conditions for the formation of large-scale and high-grade uranium ore bodies.

[0122] (2) Relationship between spatial gamma field and rock mass distribution in the western survey area

[0123] The rock mass in this area also dips northward as a whole, and the spatial gamma field also shows a distribution trend of gradually sinking northward. This indicates that there is a correlation between the spatial gamma field and the distribution of different rock masses.

[0124] The spatial gamma field is mostly distributed in biotite granite rock masses, indicating that granitic biotite granite makes a great contribution to uranium mineralization and controls the distribution of ore bodies. The distribution of biotite granite rock masses is relatively continuous, and the spatial gamma field also shows a continuous distribution.

[0125] In terms of depth performance, above the elevation of 0m, high and relatively high spatial gamma fields are seen at the contact interfaces of biotite granite with different grain sizes, indicating the law of uranium element mineralization at the lithological interfaces in the shallow layer.

[0126] Below the elevation of 0m, the spatial gamma field mainly appears in biotite granite rock masses and is far from the contact interfaces between biotite granite and other lithologies, indicating that biotite granite in the deep part can provide a richer uranium source for uranium mineralization and has a greater potential for large-scale mineralization under conditions such as tectonic movement and well-developed alteration.

[0127] However, the scale of the No. 60 structural alteration zone is not as large as that of the No. 61 structural alteration zone. Therefore, the mineralization scale of the No. 60 structural alteration zone is not as large as that of the No. 61 structural alteration zone, and the corresponding distribution scale of the spatial gamma field is also relatively small.

[0128] (3) Relationship between the spatial gamma field and rock masses in the eastern survey area

[0129] The rock masses in this area generally plunge towards the northeast. The distribution of the spatial gamma field is relatively discrete and is less affected by the occurrence of rock masses. However, it still shows the characteristics that the spatial gamma field is prone to appear at lithological contact interfaces and is mostly distributed in biotite granite rock masses. The main spatial gamma anomaly fields in this area are mostly distributed below the elevation of 0m, indicating the characteristic of relatively large depth of uranium mineralization in this area.

[0130] Each embodiment in this specification is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. For the same and similar parts among the embodiments, reference can be made to each other.

[0131] Specific examples are used in this article to elaborate on the principles and implementation methods of the present invention. The descriptions of the above embodiments are only used to help understand the core idea of the present invention. At the same time, for those of ordinary skill in the art, based on the idea of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A mineralization prediction method based on the relationship between alteration structure and spatial gamma field, characterized in that: include: Acquiring target geological data; the target geological data includes a borehole profile, borehole gamma logging data and borehole spatial data; Locating the ore body circle position according to the drill hole profile, and then constructing a spatially independent or continuous spatial polyhedral map along the corresponding structural alteration zone in three-dimensional space to obtain an ore body model; Preprocessing the borehole gamma logging data and the borehole spatial data, and constructing a spatial gamma field model based on the preprocessed data; the spatial gamma field model includes a spatial gamma high field model, a spatial gamma high field model and a spatial gamma abnormal field model; Combining the spatial gamma field models of different levels with the ore body model in profile, and determining the relationship between the alteration structure and the spatial gamma field according to the combination conditions within different survey areas; The relationship between the alteration structure and the spatial gamma field is used to analyze the rock mass distribution of the target mine and determine the final target mine location.

2. The mineralization prediction method based on the relationship between alteration structure and spatial gamma field according to the full capability requirement 1 is characterized in that: Preprocessing the borehole gamma logging data and the borehole spatial data, and constructing a spatial gamma field model based on the preprocessed data, specifically includes: Performing iterative elimination processing on the borehole gamma logging data, and calculating the average value and mean square error of the processed data, and determining the intensity level of the spatial gamma field according to the calculation results; the intensity level includes high field, high field and abnormal field; Based on the borehole spatial data, three-dimensional modeling software is used to perform spatial equivalent calculation and mapping, and layered processing is performed based on intensity levels to obtain a spatial gamma high field model, a spatial gamma high field model, and a spatial gamma abnormal field model.

3. The mineralization prediction method based on the relationship between alteration structure and spatial gamma field according to the full capability requirement 1 is characterized in that: Before constructing the ore body model and the spatial gamma field model, the method further includes: constructing a spatial database; the spatial database is used to provide data services for spatial modeling.

4. The mineralization prediction method based on the relationship between alteration structure and spatial gamma field according to the full capability requirement 3 is characterized in that: The construction requirements of the spatial database include: data input, data management, data processing and data output; wherein, the data input includes the collection and input of logging data, the collection and input of inclination data, and the collection and input of cataloging data; the data management includes drilling management, project management and user management; the data processing includes data preprocessing, logging content calculation, logging data statistics, logging data mapping and spatial coordinate calculation; the data output includes logging results output, logging report output and spatial data output.

5. The mineralization prediction method based on the relationship between alteration structure and spatial gamma field according to the full capability requirement 3 is characterized in that: The system structure of the spatial database includes an inclinometer module, a logging module, a cataloging module, a sampling module and an instrument management module; wherein the inclinometer module is used to store and manage the inclinometer data of each borehole, and generate borehole spatial data in combination with the hole mouth coordinate data and the logging data; the logging module is used to store and manage the logging data, and perform data preprocessing, content calculation and generate logging results; the cataloging module is used to store and manage the borehole cataloging data and sampling analysis data to assist in the results analysis; the instrument management module is used to store and manage various instrument parameter data.

6. A mineralization prediction system based on the relationship between alteration structure and spatial gamma field, characterized in that: include: A data acquisition unit, used to obtain target geological data; The target geological data include borehole profiles, borehole gamma logging data and borehole spatial data; An ore body model construction unit is used to locate the ore body circle position according to the drill hole profile, and then construct a spatially independent or continuous spatial multi-faceted map along the direction of the corresponding structural alteration zone in three-dimensional space to obtain an ore body model; A spatial gamma field model construction unit is used to preprocess the borehole gamma logging data and the borehole spatial data, and to construct a spatial gamma field model according to the preprocessed data; the spatial gamma field model includes a spatial gamma high field model, a spatial gamma high field model and a spatial gamma abnormal field model; A correlation analysis unit, used for combining the spatial gamma field models of different levels with the ore body model in profile, and determining the relationship between the alteration structure and the spatial gamma field according to the combination conditions within different survey areas; The target mine delineation unit is used to analyze the rock mass distribution of the target mine by using the relationship between the alteration structure and the spatial gamma field, and to delineate the final target mine location.

7. An electronic device, characterized in that: It comprises a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the mineralization prediction method based on the relationship between the alteration structure and the spatial gamma field according to any one of claims 1-5.

8. A computer-readable storage medium, characterized in that: It stores a computer program, which, when executed by a processor, implements the mineralization prediction method based on the relationship between alteration structure and spatial gamma field as described in any one of claims 1 to 5.

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