13 results about "Gold deposit" patented technology

The application provides a three-dimensional geological modeling method and system for ductile shear zone type gold exploration, and relates to the technical field of gold exploration modeling. The application extracts a plurality of alteration anomaly zones related to gold mineralization hydrothermal alteration by acquiring multispectral remote sensing data of an exploration area; superimposes the anomaly zones to identify a prospecting target area and acquire electrical parameter data such as apparent resistivity and apparent polarization rate; determines the structural geological distribution in combination with surface geological mapping, divides a prospecting unit in space superposition with the target area, sets the electrical parameter range to establish a three-dimensional prospecting unit framework; and obtains the three-dimensional distribution of electrical parameters and the geological unit boundary by jointly inverting the electrical parameters as measured data, the framework and the parameter range, generates a three-dimensional geological model reflecting the spatial distribution of the gold mineralization body, and can accurately depict the spatial distribution of the ductile shear zone type gold mineralization body, thereby supporting efficient exploration.

The application discloses a kind of adjustable flat gold mine sampling drilling machines and working methods thereof, belong to the field of drilling sampling, including frame and setting on frame lifting type sampling mechanism, the four corners of frame are provided with adjustable support leg, for adjusting the drilling angle of lifting type sampling mechanism;Adjustable support leg includes fixed seat fixed on frame and mobile seat vertically slidingly connected with fixed seat by lifting adjustment assembly, the bottom end of mobile seat is provided with moving wheel.The above-mentioned kind of adjustable flat gold mine sampling drilling machine and working method thereof can adapt to rugged terrain, realize vertical or directional accurate sampling, operation is stable, safe and has strong versatility.

This invention discloses a method for constructing a comprehensive gold prospecting indicator system and accurately predicting gold deposits in shallowly covered areas, relating to the field of mineral exploration technology. The method includes: collecting multi-source data required for prospecting prediction; the multi-source data includes geological data, geophysical data, geochemical data, and remote sensing data; preprocessing the multi-source data to obtain a processed dataset; establishing a gold prospecting indicator system reference table for the study area; gridding the preprocessed dataset according to the reference table to obtain a "sample-feature" dataset; dividing the "sample-feature" dataset into training and testing sets; establishing a hybrid convolutional neural network model; training the hybrid convolutional neural network model on a Cu element dataset and saving it as a pre-trained model; and transferring the feature fusion results through a deep transfer learning network model to obtain prediction results for different features. This provides a systematic, quantitative, and intelligent method for prospecting in shallowly covered areas.

This invention provides a prospecting method for sulfide-type gold deposits in covered areas, comprising the following steps: obtaining the geological characteristics of typical gold deposits and delineating areas with similar geological conditions to known typical gold deposits; obtaining gas geochemical measurement results from each detection point; performing first-dimensional and second-dimensional classification based on the gas geochemical measurement results from each detection point; classifying prospecting target areas by combining the first and second-dimensional classifications; and delineating prospecting target areas and verification sequences based on the prospecting target classification results. This method achieves precise quantitative assessment of the distribution of sulfur-bearing gases and the enrichment degree of gold through a two-dimensional classification system, and further achieves precise classification of prospecting target areas through multi-dimensional combinations. This system effectively filters out the risk of misjudgment from single abnormal indicators, ensuring a high degree of matching between target area classification and the probability and scale of gold deposit existence, significantly improving the scientific nature of prospecting decisions and the success rate of target area verification.

The application provides a copper sulfide gold-bearing ore flotation method based on interface selective oxidation and copper ion synergistic effect, and relates to the field of mineral flotation. The method comprises the following steps: carrying out first mixing and first reaction on the pulp of copper sulfide gold-bearing ore treated by an organic sulfur inhibitor and a mild oxidation medium to obtain oxidized pulp; carrying out second mixing and second reaction on the oxidized pulp and a copper ion regulating component to obtain copper ion regulated pulp; and carrying out third mixing and flotation on the copper ion regulated pulp, a collector and a foaming agent to obtain gold-containing concentrate. The method does not aim to improve the overall floatability of copper sulfide minerals, realizes efficient recovery of gold existing in copper sulfide minerals under the premise of not damaging the original copper-molybdenum separation system selectivity, and is suitable for various copper sulfide gold-bearing ore systems.

The application relates to the technical field of intelligent exploration, in particular to a gold mine target area prediction method and system based on metallogenic causality orientation, which is applied to gold mine target area prediction in a shallow coverage area and comprises the following steps: obtaining geophysical and geochemical data of a region to be predicted, inputting the geophysical and geochemical data into a target area prediction model, and obtaining a prediction result of whether the region to be predicted is a target area; wherein the target area prediction model is trained through the following steps: obtaining historical data of a target area; obtaining a historical metallogenic causality graph through a PCMCI algorithm based on a geological prior constraint set; performing causality feature extraction on the historical metallogenic causality graph to obtain corresponding causality orientation features; inputting the causality orientation features into the target area prediction model, optimizing model hyperparameters through a gradient descent algorithm, and obtaining a target area prediction model for predicting a gold mine target area in a shallow coverage area. The model has improved robustness and interpretability, and precise target area prediction in a shallow coverage area is realized.

FIELD: mineral concentration.SUBSTANCE: present invention can be used for washing gold-bearing sands, including clay pellets in placer gold deposits, as well as in other branches of industry. The method for softening clay pellets in a hydrodynamic pulp pipeline includes softening clay pellets during the process of transporting pulp in a pulp pipeline made in the form of a pipe, by periodically colliding the moving clay pellets with swirlers located periodically along the pipe of the pulp pipeline and forming a repeating swirling flow in the liquid. To form a repeating swirling flow in a liquid, swirlers are made in the form of a pipe with arranged segments and working guide plates welded to its inner surface, made in the form of an irregular trapezoid with an inclined side at the entrance of the jet. The direction of the repeating swirling flow is changed by directing it with plates in segments at an angle to the longitudinal axis of the pipe and turning it around the axis of the slurry pipeline, in one segment in one direction, and in the other segment in the other direction.EFFECT: increase in the efficiency of softening clay pellets.1 cl, 3 dwg

This invention relates to the field of mineral deposit location and prediction technology, specifically to an artificial intelligence-based method for locating and predicting quartz vein-type gold deposits. The method includes a surrounding rock monitoring and acquisition module, a mineralization feature construction module, a negative sample screening module, a negative sample generation module, and a boundary correction analysis module. This invention obtains multi-dimensional geological information of spatial points in the surrounding rock in real time through automatic acquisition and linked analysis. Combining signal segmentation and parameter classification, it unifies the spatial expression of metal signals and strain characteristics. A data system is established using spatial numbering and time labels. By comparing the changing trends of gold elements and various mineral parameters, it achieves accurate characterization of mineralization features in continuous space. Thickness and confidence analysis are introduced to optimize negative sample generation and screening, dynamically adjusting the spatial distribution structure of negative samples. Based on the inference results, it automatically verifies and corrects boundary areas, achieving spatial consistency in ore body distribution and high reliability of prediction results.

The present application relates to gold mine geological exploration and geochemical survey technical field, especially in kind of gold mine exploration area surface geochemical anomaly source depth rapid evaluation device and method, including: shell, the cavity is equipped with in the shell, the first baffle is equipped with in the cavity, the cavity is divided into sampling side and processing side;Sampling module, setting in the sampling side, including first sampling pipeline and second sampling pipeline, the first sampling pipeline and second sampling pipeline top are equipped with sampling motor, the first sampling pipeline and second sampling pipeline are rotationally arranged with sampling rod in, the spiral blade is wound with on the sampling rod, and one end of the sampling rod is connected with sampling motor, the other end is equipped with soil cutting blade, the present application improves the accuracy of gold mine surface geochemical anomaly source depth evaluation significantly through double pipeline design: first sampling pipeline removes surface contaminated soil quickly, and second sampling pipeline directly collects target depth sample.

This invention relates to the field of mineral analysis technology, specifically to a method for quantitative analysis of the occurrence state of gold in ore deposits. The method includes: pretreatment of ore samples to obtain the total gold content; gold hyper-enrichment treatment of the pretreated ore samples to obtain hyper-enriched ore samples; fabrication of resin targets for both the pretreated and hyper-enriched ore samples, and analysis of each resin target using TIMA; micro-area in-situ analysis of the sulfide resin targets using LA-ICP-MS; and quantitative analysis of the gold occurrence state in the ore samples using data obtained from TIMA and LA-ICP-MS analyses. Compared to traditional qualitative or semi-quantitative methods, this method has higher resolution and wider applicability, suitable for the study of different types of gold deposits, and provides reliable data support for subsequent optimization of beneficiation and smelting processes.

A method for predicting gold deposits in complex tectonic settings based on background noise imaging includes the following steps: 1. Using passive source seismic technology based on natural background noise, noise signals are obtained and preprocessed. Then, cross-correlation and superposition are performed, and the Green's function between stations is extracted. Subsequently, dispersion curves and surface wave velocities are calculated. A high-resolution three-dimensional Vs model is constructed using three-dimensional surface wave tomography. 2. Based on the three-dimensional Vs model, low-velocity and high-velocity anomaly zones are identified. Velocity anomalies are overlaid with known faults and magma-contact mineralization structures, and velocity anomaly-tectonic coupling zones are delineated. A mineralization potential index is established based on multiple factors, including velocity anomaly amplitude, anomaly volume, and structural intersection angle. 3. High-potential target areas are delineated based on the potential index threshold, and the area and anomaly type information are output to a GIS platform. This invention can predict concealed gold deposits.

The application relates to the technical field of intelligent exploration, in particular to a shallow coverage area gold mine target area prediction method and system, which comprises the following steps: inputting multi-source ore point data of a to-be-predicted area into a gold mine target area prediction model to obtain corresponding gold mine target area prediction results; the gold mine target area prediction model is trained through the following steps: acquiring first ore point data corresponding to a first ore point and second ore point data corresponding to a second ore point; based on the first ore point data, acquiring a first Au average value and a correlation coefficient corresponding to the first ore point, and based on the second ore point data, acquiring a first Au average value and a correlation coefficient corresponding to the second ore point; based on the first Au average value and the correlation coefficient, adjusting the first ore point data and the second ore point data, and based on the adjusted first ore point data and the second ore point data, obtaining a gold mine target area prediction model for predicting a gold mine target area in a shallow coverage area. The method effectively supplements the total amount of samples and significantly reduces the risk of target area misjudgment and misjudgment.