11 results about "Uranium deposit" patented technology

This invention pertains to data processing technology for seismic exploration of sandstone-type uranium deposits, specifically an adaptive denoising method for sandstone-type uranium deposit seismic data based on sparse transform. The method includes: inputting noisy raw two-dimensional seismic data y; initializing the maximum number of iterations I, setting the outer iterative accumulator i=1, and designing a search range J for the denoising coefficient truncation percentage; for each i, calculating the curvelet transform coefficients s of y; for each j within the search range, applying hard thresholding for denoising, and performing an inverse curvelet transform on the denoised coefficients to obtain the denoised seismic data y. j ; Calculate the noise removal ε corresponding to each j j The entropy; compare the calculated noise ε removed for each j. j The entropy is calculated, and the percentage corresponding to the maximum entropy within the search range is taken as the optimal denoising effect, and the corresponding seismic data is output. If i reaches the maximum number of iterations, the loop is exited, and the denoised seismic data corresponding to the current maximum entropy value is used as the output result. This invention can protect the effective signal while suppressing random noise.

A hydrothermal type uranium mine deep structure detection method based on electromagnetic method combined inversion, comprising: based on wide area electromagnetic method and magnetotelluric method, respectively acquiring wide area electromagnetic data set and magnetotelluric data set of each measuring point on the measuring line, and synchronously collecting the resistivity of rock samples, and generating a physical parameter table according to the resistivity; the wide area electromagnetic data set and the magnetotelluric data set are subjected to one-dimensional Occam inversion, and first resistivity profile and second resistivity profile are respectively generated; according to the depth weight function, the physical parameter table, the first resistivity profile and the second resistivity profile, an initial resistivity model is generated; the inversion objective function is iteratively solved by using the combined inversion algorithm, and the two-dimensional resistivity inversion profile is output when the iteration is terminated; the two-dimensional resistivity inversion profile is interpreted according to the physical parameter table, and a three-dimensional structural framework is established by using the interpretation result; based on the three-dimensional structural framework and the two-dimensional resistivity inversion profile, the target area in the target mine field is obtained.

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 application discloses a method for jointly mining coal and symbiotic uranium mine, and belongs to the technical field of mine exploitation. The method is specifically as follows: a coal mine field is divided into three zones, one wing of the field is a uranium mine preferential mining zone, the other wing is a coal mine mining zone, and the middle part is a protection zone; liquid pumping and injecting wells for in-situ leaching of the uranium mine are arranged in the coal mine underground; then, a coal seam in the coal mine mining zone of the coal mine field is mined, and meanwhile, the liquid pumping and injecting wells for the uranium mine are constructed downwardly by using a mining preparation roadway in the uranium mine preferential mining zone to perform in-situ leaching of the uranium mine; after the uranium mine is mined, the overlying coal seam of the uranium mine is mined, and the underlying coal seam of the uranium mine is mined by using a filling type or in-situ unmanned mining. The method for jointly mining the coal mine and the uranium mine can avoid the influence of uranium mine mining on subsequent coal mine mining, saves engineering quantity, and improves the confidentiality of uranium mine mining.

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 application discloses a kind of horizontal well injection / vertical well pumping in-situ leaching uranium streamline simulation and visualization method, for simulating the law of the dissolution leaching range of uranium deposit under the condition of horizontal well injection / vertical well pumping.The model considers that by solving the groundwater hydrodynamic field in the process of in-situ leaching uranium pumping and injection, then drawing the dissolution leaching streamline, for judging the dissolution leaching range.The characteristics of horizontal well injection / vertical well pumping in-situ leaching uranium streamline simulation and visualization are: (1) simulating the dissolution leaching hydrodynamic process; (2) streamline representation and visualization.The method provided by the application includes: considering the water flow process simulation under the condition of horizontal well injection / vertical well pumping, solving the groundwater hydrodynamic field in the process of pumping and injection, and then carrying out data processing on the dissolution leaching streamline, to simulate and depict the numerical simulation of dissolution leaching range.The simulation technology provided by the application can provide a scientific and reasonable theoretical basis for well pattern layout of mining area.

This invention belongs to the field of uranium geological exploration technology, specifically disclosing a method for identifying sedimentary microfacies in sandstone-type uranium deposits based on well logging facies models. The method first acquires geological, core, and well logging data of the study area, and constructs a fine sedimentary facies classification system based on core analysis. Then, it processes the well logging curves to establish lithological well logging response characteristics, physical property parameter tables, and lithological identification charts. Furthermore, it summarizes the rhythmic sequence of sedimentary microfacies and establishes a well logging facies model for sedimentary microfacies. Through lithological identification and well logging curve feature matching, it classifies single-well sedimentary microfacies and draws columnar sections. By comparing the microfacies development characteristics of uranium mineralized boreholes and ordinary boreholes, it clarifies the dominant reservoir microfacies types. Finally, it integrates mineralization information to delineate the planar distribution of dominant microfacies zones, achieving the prediction of favorable uranium reservoir facies zones and the delineation of favorable areas, thus improving the efficiency and accuracy of uranium exploration.

The application provides a sandstone type uranium ore prediction method based on pseudo-three-dimensional seismic data. The method comprises the following steps: a. obtaining two-dimensional seismic SGY profile data of a working area; b. performing trace head analysis on the SGY profile data; c. obtaining point coordinate data; d. processing the point coordinate data; e. processing the SGY profile data; f. collecting gamma and acoustic logging curves of the working area; g. processing the logging curve data; h. performing multi-parameter lithology inversion according to the processed SGY data and the logging curve data; and i. predicting a favorable sandstone type uranium ore forming area. The application fully utilizes two-dimensional seismic data, acoustic logging data and gamma logging data sensitive to sandstone type uranium ore to accurately and effectively predict the favorable sandstone type uranium ore forming area, reduces the uranium resource key exploration range in the working area, provides geophysical prospecting basis for subsequent drilling construction, greatly reduces the exploration cost and improves the exploration efficiency.

This invention belongs to the technical field of basic uranium geological research, and specifically discloses a method for predicting and evaluating sandstone-type uranium deposits in environments with relatively strong tectonic structures. The method includes: step (1) collection and organization of regional geological data; step (2) analysis of basin tectonic geological background and basin tectonic types; step (3) study of typical deposits; step (4) map compilation and study of regional uranium mineralization regularities; and step (5) extraction of prediction elements and prospective prediction. This invention, through the collection and organization of geological data from a geological region, combined with limited regional geological work, fully analyzes the tectonic geological background and metallogenic geological conditions; through the study of typical deposits, it identifies the target layers and key ore-controlling elements for prospecting, summarizes regional uranium mineralization regularities, extracts prediction elements, predicts and delineates favorable mineralization zones, and provides a basis for strategic uranium ore selection and medium- to long-term uranium geological exploration deployment.

Embodiments of the present application relate to the application of thermal methods to test or analyze materials, and in particular to a method for estimating the precipitation temperature of pitchblende in granite-type low-temperature hydrothermal uranium deposits, which can include the following steps: S10: collecting vein ore samples containing primary pitchblende veins in the survey area; S20: processing the vein ore samples to obtain calcite single mineral samples and fluorite single mineral samples; S30: analyzing the calcite single mineral and fluorite single mineral samples to determine the carbon isotope composition of the calcite single mineral samples and the carbon isotope composition of the fluid inclusions in the fluorite single mineral samples; S40: determining the carbon isotope equilibrium temperature according to the carbon isotope composition; S50: determining the precipitation temperature of pitchblende in granite-type low-temperature hydrothermal uranium deposits according to the carbon isotope equilibrium temperature. The method provided by the embodiments of the present application can determine the precipitation temperature of pitchblende through the carbon isotope composition of the coeval calcite and fluorite, and the determined precipitation temperature is accurate and reliable.