42 results about "Uranium mineralization" patented technology

The embodiment of the invention relates to the field of exploration or detection by applying nuclear radiation, in particular to a method for determining a uranium metallogenic area of a to-be-surveyed area, which comprises the following steps of: determining natural gamma logging data and energy spectrum logging uranium content data of the to-be-surveyed area; determining the positions of a plurality of drill holes of the to-be-surveyed area; obtaining a rock core sample of one of the determined drill holes; determining uranium contents at different depths according to the rock core sample; determining the relationship between the uranium content and the energy spectrum logging uranium content data of the drill hole and the relationship between the energy spectrum logging uranium content data and the natural gamma logging data so as to determine the relationship between the uranium content and the natural gamma logging data; and determining a natural gamma logging threshold value of the uranium metallogenic area so as to determine the uranium metallogenic area of the area to be surveyed. According to the method provided by the embodiment of the invention, the natural gamma logging threshold value of the uranium metallogenic area can be accurately determined, so that the uranium metallogenic area of the area to be surveyed can be accurately determined, and the exploration cost is greatly reduced.

The invention belongs to the field of mineral resource exploration, and particularly relates to an oil-gas hydrocarbon micro-leakage alteration information identification and uranium mineralization association-based prospecting method, which comprises the following steps of: 1, selecting a research area and collecting basic data; 2, oil gas hydrocarbon micro-leakage alteration information is extracted; step 3, establishing an alteration information and uranium mineralization association model; 4, delineating a favorable uranium mineralization area; and 5, drilling verification and model optimization. According to the method, alteration information caused by oil gas micro-leakage is accurately extracted through multi-source data fusion, dynamic monitoring and intelligent modeling technologies, a correlation model of the alteration information and uranium mineralization is established, the exploration efficiency of the sandstone type uranium mine is effectively improved, and the exploration cost of the sandstone type uranium mine is reduced. The problems that deep alteration information is difficult to effectively recognize in a thick covering layer basin, oil gas micro-leakage and uranium mineralization mineralization are not clear in association, the utilization rate of multi-source data is low, the prospecting period is long, cost is high and the like in a traditional prospecting technology are solved.

The invention belongs to the technical field of sandstone type uranium ore mineralization prediction, and particularly relates to a sample set construction method suitable for sandstone type uranium ore big data prediction, which comprises the following steps: a system collects and arranges geological-geophysical prospecting-geochemical prospecting-remote sensing data of a research area, extracts the geological, geophysical prospecting, geochemical prospecting and remote sensing data, and pre-processes the data; performing feature selection of a sample set by analyzing factors such as construction, magma activity, stratum and lithofacies paleogeography, geophysics, geochemistry and the like; integrating the selected sample feature data, and marking features and labels of each sample to form complete single sample data; and integrating the formed single sample data together to construct a sample set, performing feature engineering on the data in the sample set, randomly selecting samples to construct a training set, and using the remaining samples to construct a test set. According to the method, the working process of constructing the sandstone type uranium mine big data prediction sample set is optimized, so that the uncertainty in the working process is reduced.

The invention relates to the technical field of uranium mineralization prediction, in particular to a uranium ore positioning method for oil and gas dissipation channel control, which comprises the following steps: for a drilling point preliminarily meeting a uranium mineralization standard, determining whether a temperature range of a gas generation threshold meets a mineralization achievement condition or not, and transferring a preliminary drilling area according to a fluid activity path; the direction of moving the preliminary drilling area is determined, and the initial drilling parameters are adjusted; fluid property classification is carried out, and it is determined that the uranium metallogenic potential of the paleoenvironment where the sample is located meets expectation or secondary analysis of the uranium metallogenic potential is needed when the sample is formed; determining composition characteristic types of the samples, judging whether the causes of the samples are related to biological action or not according to the proportions of the samples in different composition characteristic types, and adjusting a judgment standard for determining uranium mineralization potential; and when the uranium mineralization potential meets the expectation or the cause of the sample is irrelevant to the biological action, the coexistence of the uranium ore and the hydrocarbon inclusion is verified through drilling. According to the invention, efficient uranium ore positioning is realized by identifying the oil-gas dissipation channel and the associated ore control elements.

The present application relates to a kind of extraction methods of uranium resource sample set in flight release feature, specifically to a kind of extraction methods of uranium resource sample set in flight release feature.The present application includes the following steps: step 1, known uranium deposit is converted into polygonal uranium mine area information;Step 2, sample label data in uranium mine area is generated according to fixed distance;Step 3, generate the flight release data of grid format;Step 4, the sample label corresponding to the feature value of flight release data generated by polygonal uranium mine area is calculated;Step 5, the calculation result is saved as uranium resource flight release sample data set.The present application can more accurately reflect the situation of flight release feature in uranium mineralization range.

The embodiment of the invention relates to the field of testing or analyzing materials by means of measuring chemical or physical properties of materials, in particular to a method for determining a uranium metallogenic area of a to-be-surveyed area, which comprises the following steps: acquiring soil radon gas data of the to-be-surveyed area; according to the soil radon gas data, determining a first uranium metallogenic favorable area of the to-be-surveyed area; according to the first uranium metallogenic favorable area, the positions of a plurality of drill holes are determined; acquiring a plurality of sandstone samples of the plurality of drill holes at a plurality of heights; determining the contents of montmorillonite and kaolinite in the plurality of sandstone samples; determining a second uranium metallogenic favorable area of the to-be-surveyed area according to the montmorillonite and kaolinite contents in the plurality of sandstone samples and the first uranium metallogenic favorable area; and determining the uranium metallogenic area of the area to be surveyed according to the contents of montmorillonite and kaolinite in the plurality of sandstone samples and the second uranium metallogenic favorable area. According to the method provided by the embodiment of the invention, the efficiency and accuracy of determining the uranium metallogenic area of the area to be surveyed can be improved.

The invention provides a test method and device for determining uranium metallogenic fluid components, a rock core sample is selected and put into a sealed beaker, a pH-Eh test is carried out for multiple days, after the test is finished, leachate is filtered through ICP-MS, the chemical components of the leachate are determined, and the uranium metallogenic fluid components are determined. The method comprises the following steps: calculating an asphalt uranium ore dissolution precipitation mechanism (mineral saturation index SI), an asphalt uranium ore dissolved uranium concentration boundary value and an oxidation reduction boundary value through hydrogeochemical simulation PHREEQC software, and approximately representing chemical components of ore-forming fluid as well as pH and Eh values of the chemical components by using the measured values; uranium metallogenic conditions and environments are determined through hydrogeochemical simulation calculation, basic data are provided for uranium metallogenic prospective area prediction, experimental data objectively explains the relationship between uranium migration and activation and metallogenic fluid, and the test device can achieve a certain effect for sandstone type uranium ore exploration and prediction.

The present invention belongs to the field of uranium geological exploration, and specifically discloses a method for evaluating the flow capacity of oxygen-containing uranium-containing water in sandstone-type uranium deposits, comprising: step S101, based on the analysis of structural deformation characteristics, the structural evolution of the structural layer where the uranium reservoir is located is restored; step S102, based on the plane structural map corresponding to each structural deformation period, the ancient burial depth, ancient inclination and ancient migration distance parameters of oxygen-containing uranium-containing water in the uranium reservoir in each geological historical period are obtained; step S103, based on the particle size analysis of the uranium reservoir, the Trask sorting coefficient is obtained; step S104, the flow capacity coefficient of oxygen-containing uranium-containing water in the uranium reservoir is calculated, and the flow capacity of oxygen-containing uranium-containing water in each geological historical period is determined. The present invention can quantitatively evaluate the flow capacity of oxygen-containing uranium-containing water in the uranium mineralization historical period, so as to provide important parameters for evaluating the uranium mineralization potential and favorable area prediction of sandstone-type uranium deposits.

This application relates to the field of tracer exploration or detection, and provides a geochemical tracing method for concealed sandstone-type uranium deposits. The method provides that by measuring the Mo and Th content in the ground atmosphere and soil, it identifies anomaly zones in the Mo element measurement, anomaly zones in the Mo-Th ratio, and comprehensive anomaly zones. Further measurement of the Mo content in the ground atmosphere is then performed in the comprehensive anomaly zones to determine favorable mineralization areas within the exploration area. According to the method provided in this application, it can effectively identify concealed sandstone-type uranium mineralization information and determine favorable uranium mineralization areas within the exploration area.

The embodiment of the invention relates to the technical field of exploration or detection by adopting comprehensive technical means, in particular to a hydrothermal uranium mine area resource prediction and evaluation method. According to the hydrothermal uranium ore area resource prediction and evaluation method, the geological cause of hydrothermal uranium ore is firstly judged, then the favorable mineralization area is delineated, and then the attribute of uranium mineralization is judged, so that the favorable mineralization part is determined from the favorable mineralization area. Compared with the prior art, the method has the advantages that the blindness of resource prediction and evaluation of the hydrothermal uranium ore region is reduced, the evaluation efficiency is improved, furthermore, different weights are given to the attributes of uranium mineralization, the effects of different attributes in evaluation are considered, and the evaluation precision is improved.

The invention provides a quantitative characterization method for a metallogenic relationship between oxidized sand bodies and uranium in a uranium reservoir, which comprises the following steps of: acquiring field core logging and drilling information, identifying distribution characteristics of the oxidized sand bodies in the uranium reservoir, and establishing a uranium-bearing rock series stratigraphic framework; according to the uranium-bearing rock series stratigraphic framework, the oxidized sand body thickness, the oxidized sand body ratio, the sandstone type uranium mineralization thickness and grade data in each drilling layer are counted; by drawing a uranium-bearing rock system rock geochemical type profile and drawing a uranium reservoir uranium mineralization thickness and grade plane distribution diagram and an oxidized sand body thickness and ratio distribution diagram, the relation between oxidized sand body space distribution and uranium mineralization in a uranium reservoir is represented from the profile and the plane; drawing a scatter diagram of uranium mineralization thickness and grade and oxidized sand body ratio, and delineating a main mineralization area and a rich mineralization area; the method can enrich theoretical research on uranium mineralization, can also play a guiding role in exploration work of sandstone type uranium ore, and improves the accuracy and efficiency of uranium ore exploration.

The invention provides a sandstone type uranium ore enrichment area positioning method based on a material source-sedimentary lobe, and the method comprises the following steps: collecting field core logging and drilling data, and building a uranium-bearing rock series stratigraphic framework; performing ore control factor data statistics according to the uranium-bearing rock series stratigraphic framework, importing corresponding statistical data into a drawing tool, and generating a uranium reservoir spatial distribution diagram and a uranium reservoir heavy mineral spatial distribution diagram; according to the uranium reservoir spatial distribution diagram and the heavy mineral spatial distribution diagram, obtaining a material source direction and a sedimentary lobe range, and carrying out spatial description on a material source-sedimentary lobe body; rebuilding a uranium mineralization source and sink model by taking the material source-sedimentary lobes as units; according to the method, the ore control factors of the uranium reservoir, the reduced geologic body and the metamorphic alteration zoning are analyzed, the important prospecting mark is tracked by taking the material source-sedimentary lobe as the unit, and the spatial distribution of the uranium mineralization body is predicted according to the important prospecting mark, so that the ore exploration accuracy and prospecting efficiency of the sandstone type uranium ore are improved.

The present application belongs to the technical field of uranium mine, and particularly relates to a method for evaluating the effect of intermediate-basic rock intrusion reformation on uranium mineralization in sandstone type uranium mine, which comprises the following steps: step one, data collection; step two, field core observation and sample collection; step three, evaluation of the space-time relationship between intermediate-basic rock intrusion reformation and uranium mineralization; step four, evaluation of the influence of intermediate-basic rock intrusion reformation on the physical property of ore-bearing layer; step five, evaluation of the influence of intermediate-basic rock intrusion reformation on groundwater migration and driving mechanism; step six, evaluation of the influence of intermediate-basic rock intrusion reformation on uranium mineralization; and step seven, comprehensive analysis and evaluation of the uranium mineralization effect of intermediate-basic rock intrusion reformation in sandstone type uranium mine. The method comprehensively evaluates the influence of intermediate-basic rock intrusion reformation on the formation and preservation of uranium mine, identifies the uranium mineralization effect of intermediate-basic rock intrusion reformation in sandstone type uranium mine, and establishes a sandstone uranium mineralization pattern diagram of intermediate-basic rock intrusion reformation.

The embodiment of the invention relates to the field of testing or analyzing ground materials by means of measuring chemical or physical properties of materials, in particular to a method for circling a metallogenic prospective area of a sandstone type uranium ore in a sedimentary basin. According to the method, soil samples with different granularities are obtained, the content of uranium and the content of thorium in the soil samples are determined respectively, and the potential value of deep uranium mineralization of each sampling point is obtained so as to indicate the deep uranium mineralization potential of a sampling area; by analyzing the molybdenum content in the soil sample with the small granularity, deep metallogenic information of the sampling area is further reflected through the abnormity of the molybdenum content; according to the potential value and the molybdenum content of deep uranium mineralization, deep uranium mineralization information can be reflected more comprehensively, and the accuracy of circling a mineralization prospective area is improved; in the implementation process, only superficial soil samples need to be collected, the field work difficulty is reduced, and the uranium prospecting efficiency is improved.

The invention discloses an intelligent prospecting prediction method based on deep learning, and the method comprises the following steps: collecting and sorting related information of geological information, geophysical information, geochemical information and remote sensing information of a research region, constructing a uranium resource exploration multivariate information database, and extracting information features to establish a uranium resource data set; constructing a uranium resource machine learning model, and training the uranium resource machine learning model by using the uranium resource data set until the output result of the uranium resource machine learning model meets the expectation; the uranium resource machine learning model outputs the similarity between the position of the central point of the prediction point of the research area and the known ore deposit / ore deposit, the uranium resource machine learning model is used for conducting favorable area prediction on the research area, and a uranium mineralization favorable area of the research area is determined; according to the method, the metallogenic condition can be analyzed from a more comprehensive angle, and the limitations of single data source and incomplete information in the prior art are overcome.

The invention discloses a uranium ore prospecting method, and relates to the technical field of prospecting, and the method comprises the steps: determining a sampling range according to the gamma energy spectrum of a target region, and the lithologic characteristics, construction conditions, hydrothermal alteration and uranium mineralization characteristics of a thick and large uranium ore body; sampling is conducted on the earth surface of the sampling range or in an existing drill hole, a sampling analysis result is obtained, and the development part of the thick and large uranium ore body is determined according to the sampling analysis result; carrying out groove exploration engineering in the development part to determine an ore prospecting mark of the thick and large uranium ore body; carrying out magnetotelluric sounding measurement at the position corresponding to the prospecting mark, investigating the address of the rich and thick large ore body, and laying a verification drill hole to check the deep extension condition of the rich and thick large ore body; according to the method, the deep ore-endowed rock development condition, the deep rich and thick large ore body ore control fracture development condition, the deep rich and thick large ore body surrounding rock alteration type and the deep rich and thick large ore body uranium mineralization characteristics are determined, then the working area of drilling construction is screened out, and the prospecting efficiency of the rich and thick large uranium ore body can be improved.

This invention belongs to the field of remote sensing geology and mineral exploration technology, specifically relating to a method for identifying indicative saline-alkali lands for sandstone-type uranium mineralization. The method includes: Step 1: preliminary identification and spatiotemporal characteristic analysis of saline-alkali lands based on remote sensing imagery; Step 2: in-depth identification based on spatial morphology and structural coupling; Step 3: evaluation of mineralization indices based on the identification results; and Step 4: comprehensive prediction of mineralization potential and selection of favorable areas. This method can distinguish between surface hydrologically formed and deep hydrologically formed saline-alkali lands, accurately identify effective saline-alkali lands that are indicative of sandstone-type uranium mineralization, and ultimately serve the comprehensive evaluation of uranium mineralization potential and the selection of favorable exploration areas.

This invention belongs to the interdisciplinary field of uranium geological exploration information technology and big data processing technology. Specifically, it relates to a method for screening mineralization feature sets of sandstone-type uranium deposits based on the maximum information coefficient (MIC). The method includes: Step S1: Extraction and organization of mineralization feature data; Step S2: Data preprocessing; Step S3: MIC calculation and preliminary ranking of feature values; Step S4: Screening feature thresholds based on inflection point analysis to determine key mineralization features. This method can identify key ore-controlling factors with high correlation to sandstone-type uranium mineralization from geoscientific big data, significantly improving the accuracy, efficiency, and interpretability of subsequent machine learning mineralization prediction models, and providing reliable data support for the selection of uranium exploration target areas.

The present application belongs to the field of sandstone uranium geological identification, and provides a sandstone uranium screening method. The method comprises the following steps: performing natural gamma logging fitting to obtain an approximate radioactivity gamma curve Gr(a); using grade value and the approximate radioactivity gamma curve Gr(a) fitting to calculate the grade of a mining section, distinguishing different grade sections, and determining the properties of the mining section; combining the grade calculation results of the mining section to determine the grade section boundary value and calculate the thickness of the mining section; using conventional logging curves to identify the lithology of the mining section; according to the grade of the mining section, the thickness of the mining section and the lithology of the mining section, determining a favorable ore-bearing section, classifying and evaluating the mining section; according to the favorable ore-bearing section, determining potential uranium mineralization wells and potential industrial wells, and further determining a favorable target area. The present application significantly increases the accuracy of the lithology splitting of the mining section, and improves the accuracy and work efficiency of the resource quantity calculation.

The invention belongs to the field of geological mineral exploration, and particularly relates to a method for indicating granite type uranium mineralization by using quartz elements and cathode luminescence characteristics, which comprises the following steps: step 1, collecting and selecting samples; step 2, sample preparation and chemical analysis; step 3, carrying out cathode luminescence CL analysis; and step 4, data processing and model construction. According to the method provided by the invention, through systematic analysis on the quartz sample, especially research on the trace element content and cathode luminescence structure characteristics of the quartz sample, geochemical indexes capable of effectively identifying and predicting the uranium mineralization area are established, and the efficiency and accuracy of granite type uranium deposit exploration can be effectively improved.

The invention belongs to the field of working methods of geological technologies, and particularly relates to a survey and analysis method for sources of interlayer oxidation zone sandstone type uranium ore metallogenic substances. Comprising the following steps of 1, investigating and screening a target horizon through a basin sedimentary stratum and a uranium content background value; 2, deducing a sediment source area by adopting a deposition structure measurement method and the like; step 3, carrying out a target layer rock ore test, and establishing a rock mineralogy basis for mineral substance traceability comparison analysis; 4, investigating and deducing mineralogical characteristics of geoplast rocks in the source area, and comparing and analyzing the mineralogical characteristics with a target horizon to determine a sediment source area; and 5, investigating distribution, migration and enrichment rules of uranium elements in the uranium mineralization system, and determining an mineralization action system and changes in combination with regional structure evolution analysis to respectively determine an inner uranium source and an outer uranium source of the uranium ore deposit. The method is divided into two parts of sediment source investigation and analysis and uranium source investigation and analysis so as to solve the problems that an existing analysis method is relatively shallow in investigation and analysis depth, investigation and analysis objects are mostly limited to geologic bodies of modern sediment source areas of basins, material sources and uranium sources are confused and the like.

The application discloses a five-in-one oil and uranium exploration and ore prospecting technology, realizes secondary development and utilization of a large amount of oil well logging data of an oil field through comprehensive radioactive anomaly screening, screens reliable radioactive anomalies, and determines a uranium ore prospecting target area; when shallow natural gamma data of the oil field is missing and cannot be screened, old well re-measuring technology is adopted for supplement; through natural gamma and quantitative gamma conversion technology, a correlation between gamma anomalies of a uranium mineralization section verification hole and GR anomalies of an oil field hole is established, and uranium ore resource quantity is estimated; through three-dimensional seismic data application technology, according to uranium exploration geological requirements, application countermeasures and methods of sandstone type uranium mine three-dimensional seismic data fault interpretation technology are established; through typical deposit application research, favorable conditions of typical sandstone type uranium mineralization in main uranium-producing basins in northern China are analyzed, and a sandstone type uranium exploration and evaluation technology system of an oil field working area of the basin is established, so that a concave is accurately evaluated, a favorable zone is determined, and exploration deployment is guided.

The invention belongs to the technical field of sandstone-type uranium ore metallogenic prediction, and particularly relates to a method suitable for rapidly positioning sandstone-type uranium ore in a target stratum exposure region, and the method comprises the steps: carrying out the processing and analysis of uranium ore geological data, and circling a uranium ore target stratum exposure region A; analyzing aviation radioactive data, and extracting an aviation radioactive uranium abnormal region B; carrying out superposition analysis on the A and the area B to determine a favorable uranium mining area C; processing and analyzing soil geochemical exploration data in the C, and extracting a soil geochemical exploration Th / U abnormal region D and a soil geochemical exploration U abnormal region E; hydrogeological data in the C is analyzed, the Th / U abnormal area D and the U abnormal area E are subjected to superposition analysis, and a target area F beneficial to uranium mineralization is determined; soil radon gas measurement is carried out in the F, and a uranium metallogenic target region G is determined; carrying out soil micro-fine granulation detection in the F, and determining a uranium metallogenic target region H; and G and H are subjected to superposition analysis, and a uranium metallogenic target region I is determined. According to the method, the sandstone-type uranium ore in the exposed region of the target stratum can be efficiently and rapidly implemented.

The invention discloses a uranium mineralization zone identification method and system based on multi-source remote sensing data fusion, and relates to the technical field of geological exploration, and the method comprises a multi-source data obtaining module which obtains multi-platform and multi-band remote sensing data, and the remote sensing data comprises optical remote sensing data, microwave remote sensing data and auxiliary data; constructing a uranium ore zone feature database based on the remote sensing data; the data preprocessing module is used for carrying out noise elimination, atmospheric interference removal and geometric distortion correction on the remote sensing data; the feature extraction and fusion module is used for extracting uranium mineralization zone sensitive features from the preprocessed multi-source data and carrying out cross-modal fusion, and the cross-modal fusion comprises feature layer fusion and decision-making layer fusion; an anomaly detection and geological analysis module; a result output and verification module; according to the method, all-weather, total-factor and non-blind-area coverage of a complex terrain area can be achieved, the exploration range is not limited to roads and gentle zones any more, and the coverage rate of a potential metallogenic zone is increased.

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.

The application relates to the field of geology and mineral resources, and discloses a detection analysis and ore-prospecting indication method of altered minerals in a granite-type uranium deposit, in particular to the identification of widely developed'reddening' altered material components in the Mianhuakeng uranium deposit in the north of Guangdong and the research on the ore-prospecting indication significance of the uranium deposit. Through polarization microscope, scanning electron microscope, laser Raman, electron probe and LA-ICP-MS and other technologies, it is found that the'reddening' material in the Mianhuakeng uranium deposit is mainly composed of hematite, goethite and a small amount of magnetite. The research finds that different forms of hematite are closely related to the enrichment degree of uranium, the self-morphology-hemihedral hematite is rich in uranium mineral inclusions, and the disseminated hematite contains uranium in the form of adsorption. The application provides a theoretical basis for granite-type uranium ore prospecting, and in particular, the crystallization form and element geochemical characteristics of iron oxides (hydroxides) are used to predict the uranium mineralization potential.

The invention discloses a uranium-bearing reservoir spatio-temporal distribution rule analysis method based on multistage sedimentary facies characteristics, which comprises the following steps: acquiring logging data of a certain area, judging the lithology of the area according to the logging data, and determining the sedimentary facies of the area according to the lithology; dividing sedimentary microfacies according to rock properties; calculating the physical property of the sedimentary area by using a capillary model; and analyzing the spatio-temporal distribution rule of the uranium-bearing reservoir in combination with physical properties. According to the method, the structure and stratum data of three-dimensional geological modeling are fused with the sedimentary facies-physical property model, a geology-physical property-mineralization three-in-one analysis system is formed, the credibility of the uranium mineralization prediction result is remarkably improved, and the method can be popularized to sandstone type uranium ore exploration of different sedimentary backgrounds, is especially suitable for medium and low permeability reservoirs, and has good application prospects. And a standardized process is provided for uranium resource evaluation under complex geological conditions.

The present application belongs to the technical field of sedimentary basin uranium exploration, and particularly relates to a method for restoring paleo-hydrodynamic conditions of a sedimentary basin. The present application comprises the following steps: Step 1: determining the tectonic evolution process and uranium mineralization period of a study area; Step 2: extracting drilling data; Step 3: drawing maps; Step 4: restoring paleo-hydrodynamic conditions. Based on the research on the relationship between tectonic evolution and uranium mineralization age, the present application draws paleo-topographic maps, paleo-geological maps, lithology distribution maps and the like of the last uranium mineralization period through a drilling database.

The invention discloses a sandstone type uranium mine exploration method, device, equipment and system, and relates to the technical field of geological exploration. The method comprises the following steps: analyzing geological data of a target area through a GIS (Geographic Information System), screening ore-forming favorable target area sampling points, collecting sampling point samples, carrying out coupling analysis to obtain a surface uranium abnormal area, and integrating and constructing a three-dimensional geology-geophysical model of the surface uranium abnormal area through a data inversion method. And deploying a drilling point based on the model, collecting a core sample, a formation water sample and a gas sample of the drilling point, constructing a three-dimensional uranium mineralization physical model according to a multivariate data fusion technology, and determining the content of the sandstone type uranium ore in the target area by using a geological block method according to the three-dimensional uranium mineralization physical model. By constructing the deep geology-geophysical model, integrated uranium ore exploration from the earth surface to the deep part and from the macroscopic area to the microscopic area is realized, and the exploration precision and exploration efficiency of the sandstone type uranium ore are improved.

The invention discloses a sodium metasurface hydrothermal type uranium mineralization range determination method and device, equipment, a medium and a product, and relates to the field of uranium ore resource exploration. Calculating the migration mass fraction of each major element corresponding to the rock sample in the grid, the sum of each high field intensity element and the ratio of the total amount of light rare earth to the total amount of heavy rare earth; drawing a thermodynamic diagram based on the coordinates of the rock sample in each grid, the migration mass fraction of each major element corresponding to the rock sample in each grid, the high-field-intensity element corresponding to the rock sample in each grid and the ratio of light rare earth to heavy rare earth corresponding to the rock sample in each grid; according to the method, the range can be determined accurately and efficiently, the method has the characteristic of high spatial resolution, the success rate of delineating field surface outcrop and deep hidden sodium metasurface type uranium mineralization can be greatly improved, and the prospecting efficiency is improved.