50 results about "Gold deposit" patented technology

The invention discloses a gold mine resource potential prediction method fusing a geological knowledge graph and a large model, and belongs to the technical field of mineral resource prediction, and the method comprises the steps: aggregating geological exploration data streams, constructing a space-time event knowledge graph, driving a pre-trained large model to carry out continuous tensor projection, and carrying out prediction. Encoding the metallogenic mechanism into a gauge tensor to construct a geological semantic Riemannian manifold; constructing a neural differential equation set representing metallogenic dynamics on the manifold; by taking observation data as a boundary, calculating an energy dissipation minimum value path through variational solution and geodesic line optimization; locking and representing a negentropy flow accumulation area of the ore body through phase-space reconstruction and persistence coherence test; and holographic mapping is carried out on the accumulation area to form a materialized prospecting target area, and a dynamic causal transcription report is generated. According to the method, a generative dynamic inversion normal form based on a physical mechanism is adopted, metallogenic prediction is reconstructed into solving of an evolution problem of a differential equation in a manifold space, the space-time inevitability of a metallogenic system can be replayed from static observation data, and a prospecting target region with causal interpretation is generated.

The invention discloses a hydrothermal vein type gold deposit alteration zoning remote sensing identification method, and the method specifically comprises the following steps: S1, carrying out multi-platform remote sensing cooperative interpretation, and obtaining the initial alteration zoning information of a regional scale. According to the hydrothermal vein type gold deposit alteration zoning remote sensing identification method, through organic combination of multi-platform remote sensing cooperative interpretation and unmanned aerial vehicle fine mineral mapping, cross-scale detection from regional scale preliminary alteration zoning identification to target region scale alteration lithofacies accurate delineation is realized; the problems that a traditional remote sensing method is single in scale and insufficient in precision in alteration zoning recognition are effectively solved. According to the method, the complementation advantages of multi-temporal optical remote sensing, synthetic aperture radar and thermal infrared remote sensing data are utilized, accurate recognition of key altered minerals is achieved in combination with hyperspectral data of the unmanned aerial vehicle, and the certainty of alteration zoning boundaries and the accuracy of lithofacies classification are remarkably improved.

The invention relates to the technical field of geophysical exploration, and discloses a three-dimensional fine electromagnetic detection method for ore control fracture of a deep gold ore. The method comprises the following steps: arranging a measuring point array to emit a coding artificial electromagnetic pulse signal, and synchronously receiving a plurality of induced magnetic field responses to form an original data volume; estimating a noise baseline based on statistical distribution and adaptively calibrating data; constructing a spatial correlation network by using the time sequence correlation of adjacent measuring points, and identifying a high-connectivity cluster as a suspected fracture region; extracting a regional time sequence to perform multi-level clustering, and screening a typical fracture response mode; based on the mode set global matching enhancement response, generating an enhancement data volume; multi-scale three-dimensional tensor decomposition is adopted to extract a tensor kernel component, and an electrical structure is reconstructed according to the spatial compactness and energy attenuation characteristics of the tensor kernel component; and finally, iteratively fusing with a geological constraint model to output a three-dimensional ore control fracture fine detection result. According to the method, intelligent identification and high-precision imaging of the deep fracture are realized.

The invention provides a gold mine prospecting target area intelligent delineation method and system based on multi-source geological data, and relates to the technical field of mineral exploration. Remote sensing images, geophysical exploration and earth surface rock chemical data associated with gold mine mineralization are collected, and according to the gold mine mineralization characteristics, the gold mine prospecting target area intelligent delineation method and system based on the multi-source geological data are obtained; correcting gold element space distribution difference, decomposing mineral spectrum mixing information, and strengthening mineralization related characteristic information. Then mining a data feature association relationship based on the feature information, the physical exploration data and the geochemical data, constructing a metallogenic association network, and inputting the feature information to obtain metallogenic association parameters; calculating mineralization probability values point by point in combination with spatial distribution characteristics of the multi-source geological data, generating a continuous mineralization probability curved surface, finally screening areas with probability values higher than a preset threshold value, locking a conforming closed area in combination with a typical gold ore deposit model, and recording coordinate boundary information to generate a gold ore prospecting target area map. The intelligent and accurate delineation of the gold ore prospecting target area can be realized.

The invention relates to the technical field of intelligent exploration, in particular to a gold mine target prediction method and system based on metallogenic causal orientation, which is applied to gold mine target prediction in a shallow coverage area, and comprises the following steps: acquiring earth materialization data of a to-be-predicted area, and inputting the earth materialization data into a target prediction model, obtaining a prediction result of whether the target area is a target area; wherein the target region prediction model is trained through the following steps: acquiring historical data of a target region; based on the geological prior constraint set, obtaining a historical metallogenic causal map through a PCMCI algorithm; performing causal feature extraction on the historical metallogenic causal atlas to obtain corresponding causal-oriented features; and inputting the causal-oriented features into a target region prediction model, and optimizing model hyper-parameters through a gradient descent algorithm to obtain a target region prediction model for performing gold mine target region prediction on the shallow coverage region. The method not only improves the robustness and interpretation of the model, but also realizes accurate target prediction in a shallow coverage area.

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 invention relates to the field of data analysis, in particular to a gold industry heterogeneous data analysis and knowledge graph construction method. The method comprises the steps that a gold mine multi-modal heterogeneous original data set is acquired, semantic normalization analysis and cross-modal consistency verification based on domain ontology are carried out on the gold mine multi-modal heterogeneous original data set, and a multi-modal gold geological knowledge information set is generated; based on this, performing deep association mining of fusion causal inference and a spatio-temporal evolution mode, and generating a candidate golden knowledge unit set with causal logic and spatio-temporal constraints; on the basis, taking a known typical gold deposit as a verification anchor point, carrying out credibility backtracking verification and causal association strength screening on knowledge units, and generating a verification gold knowledge unit set; and based on this, modeling and iterative construction of the knowledge graph are carried out, and the gold exploration knowledge graph serving deep and hidden gold mine intelligent prediction is generated. In the heterogeneous data analysis process, the intelligent prediction accuracy of the ore body is improved.

The invention relates to the technical field of mineral exploration, in particular to a multi-source geological data fusion-based Carlin type gold mine prospecting prediction method, which comprises the following steps of: constructing a multi-dimensional identification mark system covering geological, geophysical and geochemical elements, and integrating multi-source data; analyzing the tectonic framework to respectively extract related information elements of deep guide ore and shallow accommodation ore structures, and establishing a structure coupling model reflecting the spatial configuration relation of the deep guide ore and the shallow accommodation ore through coupling analysis; performing spatial correlation quantitative evaluation on the geochemical anomaly information and the structural coupling model, constructing a three-dimensional prediction model, and delineating a gold mineralization anomaly target region; and carrying out uncertainty quantitative evaluation on the model, determining the sensitivity and confidence interval of the key parameters, and carrying out iterative optimization on the model to generate a final prediction result. According to the method, the effective metallogenic structure system can be clearly identified, and the prediction conclusion is reliably quantified, so that the precision and practicability of prospecting prediction are improved.

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.

The invention discloses a gold mine mining parameter optimization method and device based on digital twinning and a medium, and relates to the technical field of mining engineering.The gold mine mining parameter optimization method comprises the steps that a high-fidelity digital twinning body is constructed, a micro-proxy simulator is established, and an initial twinning log is generated; recording the combined observation three-channel and twinborn state in the initial twinborn log; a posteriori parameter set is used as a priori, hierarchical multi-objective optimization of opportunity constraint is executed under accelerated evaluation of a microagent simulator to obtain a gold mine mining parameter set, and a version package is generated; and implementing staged issuing and operation instruction mapping by using the version package, and writing back records of combined observation of three channels and twin states to form a new round of initial twin logs. According to the method, a posterior parameter set containing a confidence boundary is output under weight constraint and consistency check by using combined likelihood robust online inversion, so that charge linear density, detonation delay segmentation, rock mass equivalent strength and joint parameters are prompted to rapidly and stably converge and are used as reliable input of opportunity constraint layering multi-objective optimization.

This invention discloses a geophysical anomaly data management system and method for gold mine exploration, relating to the field of data analysis technology. The system includes: a historical data management module, a feature extraction and analysis module, a validity assessment model construction module, and a real-time data acquisition and validity assessment module. The historical data management module divides historical geophysical anomaly data into historical valid data and historical invalid data. The feature extraction and analysis module analyzes the deviation between historical valid data and historical invalid data, extracts and marks key validity features. The validity assessment model construction module constructs a comprehensive validity assessment model based on the key validity features and calculates a comprehensive validity assessment index threshold. The real-time data acquisition and validity assessment module acquires real-time geophysical anomaly data, extracts key validity features, calculates a real-time comprehensive validity assessment index, and identifies real-time valid data.

The invention relates to a method for enhancing the biological pre-oxidation gold extraction effect of high-arsenic low-sulfur gold concentrate in a high-altitude area. A method for enhancing the biological pre-oxidation gold extraction effect of high-arsenic low-sulfur gold concentrate in a high-altitude area comprises the following steps that (1) the high-arsenic low-sulfur gold concentrate is sequentially subjected to biological pre-oxidation and countercurrent washing treatment, and ore pulp is obtained; (2) adding an oxidizing agent into the ore pulp, and carrying out enhanced oxidation; and (3) lime is added into the ore pulp subjected to enhanced oxidation, after the ore pulp is adjusted to be alkaline, a golden cicada environment-friendly gold extraction agent and activated carbon are added, and the mixture is used for leaching gold. According to the method for strengthening the biological pre-oxidation gold extraction effect of the high-arsenic low-sulfur gold concentrate in the high-altitude area, the oxidizing agent matched with the technology is selected after the biological pre-oxidation technology, the oxidation effect of the gold-bearing minerals such as arsenopyrite and pyrite is further strengthened, wrapped gold in the gold-bearing minerals is fully opened, and the gold recovery rate is increased.

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 utility model relates to the technical field of a portable geophysical detector for gold mine geological exploration, in particular to a portable geophysical detector for gold mine geological exploration, which comprises a box body, and a wire winding groove, a support groove and an equipment groove are arranged in the box body. A cable coil capable of accommodating a cable is arranged in the cable coiling groove; a geophysical detector body is arranged in the equipment groove; a support mechanism used for supporting and handheld use of the geophysical detector body is arranged in the support groove. Through the device, the portability of the whole equipment is improved, the assembling and disassembling processes of the equipment are simplified, the time and energy of operators are saved, the complexity of equipment operation is reduced, and the working efficiency is improved.

The invention relates to the technical field of ore deposit positioning prediction, in particular to a quartz vein type gold deposit positioning prediction method based on artificial intelligence, which comprises a surrounding rock monitoring acquisition module, a mineralization characteristic construction module, a negative sample screening module, a negative sample generation module and a boundary correction analysis module. According to the method, multi-dimensional geological information of surrounding rock space point locations is obtained in real time through automatic collection and linkage analysis, a data system is established by combining signal segmentation identification and parameter classification and unifying a space expression mode of metal signals and strain characteristics and utilizing space numbers and time labels, and the gold element and various mineral parameter change trends are compared, so that the gold element and various mineral parameter change trends are compared, and the gold element and various mineral parameter change trends are combined. Precise description of mineralization characteristics in a continuous space is realized, thickness and confidence analysis is introduced to optimize negative sample generation and screening, a spatial negative sample distribution structure is dynamically adjusted, a boundary region is automatically checked and corrected by relying on a reasoning result, and spatial consistency of ore body distribution and high reliability of a prediction result are realized.

The invention discloses a dust suppression device for gold mines, and relates to the field of gold mine dust removal and suppression technologies, the dust suppression device comprises a water sprinkling assembly, first supporting blocks are arranged on the two sides of the water sprinkling assembly in the transverse direction, second supporting blocks are arranged at the lower ends of the first supporting blocks in a sleeving mode, and the first supporting blocks and the second supporting blocks can slide relative to each other; the upper ends of the two first supporting blocks are hollow, the sides, in the longitudinal direction, of the first supporting blocks communicate with water conveying pipes, the ends, away from the first supporting blocks, of the water conveying pipes communicate with water tanks, first water pumps are arranged between the water conveying pipes and the water tanks, and the sides, close to each other, of the upper ends of the two first supporting blocks communicate with connecting cylinders. Connecting blocks are fixedly arranged on the sides, close to each other, of the upper ends of the two first supporting blocks, plugging plates are slidably connected to the sides, close to each other, of the first supporting blocks, the sides, in the length direction, of the plugging plates penetrate through the first supporting blocks and are right opposite to the water conveying pipe, and adjusting pieces are arranged on the sides, close to each other, of the two second supporting blocks. The dust suppression device has the effect of improving the control convenience of the dust suppression device.

This invention relates to a method for simultaneous gold recovery and value-added utilization of antimony in antimony-bearing gold ore, belonging to the field of non-ferrous metallurgical technology. The invention involves adding antimony-bearing gold ore to an alkaline solution for alkaline leaching to obtain an alkaline leaching solution and gold-bearing antimony-degraded ore; recovering gold from the gold-bearing antimony-degraded ore; electrowinning the alkaline leaching solution to obtain gold-bearing electrowinning antimony and gold-bearing anode slime; recovering gold from the gold-bearing anode slime; placing a solid sulfur source in the low-temperature heating zone of a dual-temperature zone furnace reactor, and placing the gold-bearing electrowinning antimony in the high-temperature sulfidation reaction zone of the dual-temperature zone furnace reactor, using inert gas for gas washing to remove impurities, and then heating to the temperature of the low-temperature heating zone (200–400°C) and the high-temperature sulfidation reaction zone (500–800°C), the solid sulfur source in the low-temperature heating zone releases gaseous sulfur which reacts with the gold-bearing electrowinning antimony in the high-temperature sulfidation reaction zone to generate gaseous antimony sulfide and gold-bearing residue, the gaseous antimony sulfide condenses, and the gold-bearing residue is used to recover gold. This invention achieves value-added utilization of metallic antimony and efficient recovery of precious metal gold.

The invention discloses a method for predicting porphyry type copper-gold deposit prospecting based on platinum group element evolution trajectories, and relates to the technical field of geological mineral exploration. The method comprises the following steps: collecting a rock sample in a target exploration area; the rock sample comprises an ore-containing rock mass and an ore-free rock mass; carrying out sample preparation and analysis test on the collected sample to obtain element content data in the sample; preprocessing the element content data, and screening sample data meeting preset geochemical indexes; drawing a scatter diagram according to the screened data; based on the drawn scatter diagram, establishing a discrimination model used for describing a corresponding relation between the sulfide saturation time and the sulfide saturation total amount; and classifying the metallogenic system of the target exploration area into a corresponding metallogenic system scene according to the discrimination model, and predicting the prospecting potential of the target exploration area. According to the method, the platinum group elements, the major elements and the trace elements are integrated for correlation analysis, so that the mineralization potential of the rock mass can be quickly predicted.

The invention relates to the technical field of mineral analysis, in particular to a quantitative analysis method for the occurrence state of gold in an ore deposit. The quantitative analysis method for the occurrence state of the gold in the ore deposit comprises the steps that an ore sample is pretreated, and the total content of the gold in the ore sample is obtained. And carrying out gold hyperaccumulation treatment on the pretreated ore sample to obtain a hyperaccumulated ore sample. Respectively manufacturing resin targets for the pretreated ore sample and the hyperaccumulated ore sample, and analyzing each resin target by using TIMA. And carrying out microcell in-situ analysis on the sulfide resin target by using LA-ICP-MS. And carrying out quantitative analysis on the occurrence state of gold in the ore sample by combining data obtained by TIMA and LA-ICP-MS analysis. Compared with a traditional qualitative or semi-quantitative method, the method has higher resolving power and application universality, is suitable for research of different types of gold deposits, and provides reliable data support for follow-up dressing and smelting process optimization.

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.

The utility model relates to the field of ore separation, and discloses an ore separation device for gold ore mining, the ore separation device comprises an ore separation shell, a fixing plate is fixedly mounted on the top surface of the ore separation shell, and an aeration shell is fixedly mounted on the top surface of the fixing plate in a penetrating manner; a stirring mechanism is arranged in the ore separation shell and located below the aeration shell, two mounting plates are fixedly mounted on the top face of the ore separation shell, a motor drives a speed reducer and a first small belt wheel to rotate, and the first small belt wheel drives a first large belt wheel to rotate through a first transmission belt. According to the device, the rotating rod drives the scraping plate and the net plate to rotate at a certain rotating speed, the foam and the coarse ore on the top of the ore separation shell can be effectively discharged, meanwhile, excessive liquid cannot be brought out, and the device is convenient to use and high in practicability. The ore separation efficiency is improved.

The invention relates to the technical field of intelligent exploration, in particular to a shallow coverage area gold mine target area prediction method and system, and the method comprises the steps: inputting the multi-source ore occurrence data of a to-be-predicted area into a gold mine target area prediction model, and obtaining a corresponding gold mine target area prediction result; the gold ore target area prediction model is trained through the following steps that first ore occurrence data corresponding to a first ore occurrence and second ore occurrence data corresponding to a second ore occurrence which are collected in advance are obtained; obtaining a first Au mean value and a correlation coefficient corresponding to the first ore deposit based on the first ore deposit data, and obtaining a first Au mean value and a correlation coefficient corresponding to the second ore deposit based on the second ore deposit data; and based on the first Au mean value and the correlation coefficient, adjusting the first ore occurrence data and the second ore occurrence data, and based on the adjusted first ore occurrence data and the second ore occurrence data, obtaining a gold ore target prediction model for performing gold ore target prediction on the shallow coverage area. The total quantity of samples is effectively supplemented, and the risk of missed judgment and misjudgment of a target region is remarkably reduced.

The invention discloses a gold mine area safety early warning method and device based on holographic data and a medium, and relates to the technical field of gold mine area safety management, and the method comprises a data collection module which is used for collecting gold mine environment monitoring data; the data fusion module is used for processing gold mine environment monitoring data collected from different sources and different time periods; the risk extraction module is used for extracting risk factor data of the gold mine area and automatically identifying potential risk factors and risk modes; the risk assessment module is used for generating a risk assessment data set; the risk optimization module is used for generating a mining area risk analysis data set, processing the mining area risk analysis data set and formulating an emergency response scheme; and the early warning generation module is used for carrying out risk assessment and generating an optimized risk management strategy. Through cooperation of the data acquisition module and the data fusion module, gold mine environment data are accurately collected and processed, the integrity and quality of the data are ensured, and a reliable basis is provided for risk analysis.

This disclosure relates to the field of data processing technology, specifically to a method and system for processing gold mineralization data using a geologically constrained spatiotemporal attention network. The method includes: preprocessing gold mineralization data; training a network model using geochemical spatial sequence samples. The network model, from input to output, sequentially includes a deep feature extraction module, a data reconstruction module, and an anomaly score calculation module. The deep feature extraction module extracts local spatial features and models global correlation patterns. The data reconstruction module reconstructs the latent vectors output by the deep feature extraction module into the original data space. The anomaly score calculation module calculates the reconstruction error and normalizes it to an anomaly score, which is then linearly weighted and fused with a fault distance factor to generate a comprehensive anomaly score. The trained network model is used to identify anomalies in the gold mineralization data to be processed. This disclosure does not rely on strong distribution assumptions or manual threshold settings, and can efficiently and accurately identify gold mineralization anomalies in complex geological backgrounds.

The invention belongs to the technical field of mineral exploration, and particularly relates to a geophysical and geochemical exploration data analysis-based fast delineation gold mine prospecting method, which comprises the following steps of: A1, collecting a geological map, a mineral map, a remote sensing image and historical exploration data, and establishing an initial GIS (Geographic Information System) database; a2, collecting a sample, sending the sample to a laboratory for multi-element analysis, and delineating a comprehensive geochemical anomaly region taking gold as a main part; a3, carrying out multi-element detection by using an X-ray fluorescence detection device, and focusing a planar anomaly to a specific earth surface element concentration center; a4, arranging ground geophysical prospecting equipment, and detecting spatial distribution, occurrence and burial depth of a low-resistance and high-polarizability body or an ore control structure related to mineralization; a5, performing spatial fusion and coupling analysis on surface element abnormity, underground geophysical prospecting abnormity and a known geological structure, establishing a comprehensive model, and screening out a drilling verification target position; and A6, designing and implementing verification drilling, and verifying the accuracy of comprehensive prediction of geophysical and geochemical exploration through accurate test of the rock core sample.

The application discloses a geological comprehensive information analysis system and method for gold exploration, and relates to the technical field of information analysis.The analysis method comprises the following steps: extracting the geological types and geological features of an exploration area, and generating corresponding collection records; performing quality evaluation on the geological information of any collection record; performing comparison analysis on any two collection records with the same geological type, obtaining difference features, and performing deviation degree analysis on the difference features; constructing an anomaly evaluation model and setting anomaly identification standards; performing geological feature extraction on the real-time collected geological information of the exploration area, and generating real-time collection records; performing anomaly identification on the presentation of each geological feature; and through multidimensional analysis on the collected geological information in the exploration process, the errors existing in the traditional single index judgment can be eliminated, the quality of the geological information can be more accurately and effectively judged, and the exploration efficiency is improved.

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

A heap building method taking gold ore dump leaching residues and neutralization residues as carriers comprises the following process steps and conditions: transportation and preliminary stacking: carrying out filter pressing on the neutralization residues obtained by reaction of mine copper-containing acid wastewater and lime through a filter press, then conveying the neutralization residues and the gold ore dump leaching residues to a specified storage yard according to a ratio of less than 8: 1, and preliminarily completing centralized stacking of the two types of residues; a round platform foundation is constructed, a forklift is used for working in the middle area of a storage yard, preliminarily stacked neutralization slag and gold ore dump leaching slag are mixed and compacted layer by layer, and a pile body with the height of 6-8 m is constructed and formed and serves as a foundation for subsequent outward expansion stacking and discharging; s2, outwards expanding and stacking, continuously transporting the neutralization slag and the gold ore dump leaching slag which are mixed according to the proportion of less than 8: 1 in the S1 to the edge of the platform by taking the constructed circular platform as the center, and gradually outwards expanding and stacking along the circular platform; a round platform is constructed, a forklift is used for flattening, pushing, discharging and compacting mixed slag on the edge, the round platform with the radius being 6-10 m is constructed, and the method has the advantages that the consumption of gold ore dump leaching slag can be reduced by 10% or below, and industrial efficient stacking is achieved.