1327 results about "Maceral" patented technology

The invention discloses an altered mineral analysis-based prospecting target prediction method and system, and relates to the technical field of prospecting target prediction. An altered mineral analysis-based prospecting target prediction system comprises a data acquisition module, a clustering analysis module, an alteration combination discrimination module, a spatial modeling module, a space-time coupling module and a metallogenic evaluation module. According to the method, altered minerals and symbiotic combinations of the altered minerals are subjected to layered clustering treatment by introducing mineral thermodynamic phase diagram constraints, multi-stage superposed alteration information in a complex structure area is effectively analyzed, and a mineral symbiotic combination structure model with cause difference expression ability is established; by constructing cause period labels and forming a time sequence decoupling model, systematic distinguishing of alteration bodies formed under the mineralization effect of different times is achieved, and a time sequence basis is provided for identification of the multi-stage mineralization process.

The invention provides a deep geologic body occurrence characteristic quantitative representation modeling method and system, and the model focuses on the multi-physics field occurrence environment of rock mass material composition, structural characteristics, stress distribution and the like under the continuous mining condition of a deep underground metal mine. An information expression framework capable of crossing a'microcosmic-experimental-engineering 'multi-level spatial scale is constructed, microcosmic rock core mineral components and crack information, laboratory mechanical response parameters and structural surface shear characteristics and macroscopic fault system and stress disturbance data reflected by microseismic events are introduced, a heterogeneous data fusion method is comprehensively applied, and a microcosmic-experimental-engineering multi-level spatial scale is constructed. A three-dimensional tensor model with dynamic evolution capability and physical interpretation capability is established, high-precision, dynamic and multi-scale comprehensive modeling of a complex deep geologic body occurrence environment is realized, and the model has the characteristics of clear information hierarchy, high fusion precision, strong physical interpretability and the like. And dynamic perception and scientific research and judgment of geologic mass mechanics and structure states can be realized in a complex deep environment.

The invention belongs to the technical field of geological information processing, and discloses a geological mineral exploration data extraction system which comprises the following steps: constructing an air-ground-hole three-in-one acquisition network, and respectively acquiring earth surface mineral spectrum data, seismic longitudinal wave and transverse wave reflection data and rock core main quantity and trace element composition data; processing the collected data to form a five-dimensional data cube containing space coordinates, spectrum parameters, physical property parameters, element parameters and time indexes, performing physical layer attribute extraction on the five-dimensional data cube, performing analysis to obtain a wave impedance value and a lithology category probability array, performing semantic layer attribute extraction on the five-dimensional data cube, and performing semantic layer attribute extraction on the five-dimensional data cube; an alteration type probability array is obtained through analysis, an alteration zoning graph layer is generated, the mineralization potential index and a five-dimensional data cube are fused, a four-dimensional dynamic database is constructed, a mineralization potential prediction graph layer and a drilling priority graph are generated based on the four-dimensional dynamic database, and therefore the decision-making level of ore body drilling deployment is improved.

The invention discloses a rapid method for determining the grade of target elements in concentrate based on mineral dissociation degree, and the grade of the target elements in the concentrate under a certain fineness condition is calculated according to the dissociation degree of target minerals in a raw ore sample under the certain fineness condition and the content of the target elements in the target minerals in the raw ore sample. By means of the method, the grade of the target element in the concentrate under the specified fineness condition can be calculated more quickly and more effectively, the beneficiation effect under the fineness condition can be predicted in advance when beneficiation operation is not conducted, and powerful data support is provided for formulation of the beneficiation technological process.

The invention discloses a deep resource fluidized mining disturbance effect evaluation model under a multi-field coupling effect, and the method specifically comprises the following steps: constructing a multi-field coupling parameter system: collecting geologic body basic parameters, covering rock mass mechanical parameters, thermal physical parameters, fluid parameters and chemical parameters in deep three-high, high ground stress, high ground temperature and high karst water pressure environments, and establishing a multi-field coupling parameter system; the method comprises the following steps: establishing a dynamic parameter database, realizing real-time updating of parameters along with a mining process, establishing a heat-flow-force-chemical full-coupling mathematical model, introducing the influence of a rock plastic damage correction term quantification temperature on heat conduction efficiency, associating a dynamic mapping relation between mineral reaction and rock physical property parameters, and establishing a dynamic parameter database. Simplification errors of a traditional model on multi-field effects are thoroughly eliminated, chained interaction of temperature, fluid, stress and chemical processes in a deep three-high environment is accurately described, a model prediction result better fits an actual mining working condition, and prediction deviation is greatly reduced.

The invention discloses a rock mechanical parameter determination method based on a nanoindentation experiment, which comprises the following steps: S1, randomly selecting a small part of a target rock to carry out the nanoindentation experiment, and testing the elastic modulus, hardness and fracture toughness micromechanical parameters of the target rock; s2, constructing a multi-scale structure model of the target rock by considering internal cracks, pores, organic matters and proportion factors of each mineral component of the target rock based on the micromechanics parameters obtained by the nanoindentation experiment; s3, on the basis of the multi-scale structure model of the target rock, performing multi-scale transformation by utilizing a reformed group theory to obtain a simplified structure model of the target rock, and calculating mechanical parameters of the simplified structure model; and S4, carrying out a macromechanics experiment on the target rock, calculating mechanical parameters, and then checking the reliability of the method for calculating the mechanical parameters of the target rock based on the nanoindentation experiment. According to the method, the efficiency and precision of calculating the macromechanical parameters of the rock can be improved.

The invention discloses a rock crack evolution numerical simulation method based on data analysis, and relates to the technical field of rock mechanics engineering numerical simulation, and the method comprises the following steps: S1, obtaining microstructure data of a target rock, including a CT scanning image, an SEM image and mineral energy spectrum data; and S2, constructing a spatial distribution dynamic mechanical parameter field based on the microstructure data. According to the rock crack evolution numerical simulation method based on data analysis, a dynamic mechanical parameter field driven by a microstructure is constructed, so that the inherent defect that rock is simplified into a homogeneous material in a traditional method is overcome; microscopic characteristics such as mineral hardness gradient, grain boundary strength distribution and pore morphology are effectively quantified into an elastic modulus field, a tensile strength field and a fracture energy field which are spatially distributed, so that the numerical prediction of crack initiation and expansion truly reflects the inherent heterogeneity of the rock for the first time.

The invention provides a deep coalbed methane reservoir double-pore structure parameter prediction method and device, relates to the technical field of coalbed methane reservoir development, and solves the technical problem of low precision of a prediction result of pores of a deep coalbed methane reservoir. The method comprises the steps that based on the initial organic matter content, the clay content and the brittle mineral content, an equivalent medium theoretical model is used for establishing a coal bed gas reservoir double-pore coal rock physical model; calculating matrix porosity, fracture porosity and fracture aspect ratio according to logging observation longitudinal wave and transverse wave velocities in the logging data, and taking well-side matrix porosity, fracture porosity and fracture aspect ratio as pore parameter prior information of the coal bed gas reservoir double-pore coal rock physical model; and based on the specified three-dimensional seismic horizon data and the pore parameter prior information, pre-stack seismic inversion is carried out by using a pre-stack Bayesian inversion method through the coal bed gas reservoir double-pore coal rock physical model, and a coal bed gas reservoir double-pore reservoir prediction result is obtained.

The invention provides a mineral leaching property analysis method, which belongs to the field of process mineralogy, and comprises the following steps: crushing and enriching a sample to be detected, and selecting single mineral particles to obtain target mineral particles; the preparation method comprises the following steps: coating a sample preparation grinding tool with epoxy resin glue, adding target mineral particles, and carrying out curing and grinding treatment to obtain a primary sample; cutting the primary sample, placing the grinding surface downwards and the three wear-resistant alloys at the bottom of a sample preparation grinding tool, injecting epoxy resin glue, curing to form a composite sample, accurately grinding, polishing, performing carbon spraying treatment, performing first automatic mineralogical analysis, measuring the area of a target mineral, cleaning, and performing leaching treatment to obtain a treated sample; and after solidification, accurate grinding and polishing and carbon spraying treatment, secondary automatic mineralogical analysis is carried out, the area of the residual target mineral is measured, and the leaching index of the target mineral is calculated. Reliable technical support is provided for mineral processing technology optimization and resource evaluation, and the method is particularly suitable for development of efficient leaching technologies of precious metal, rare earth and the like.

The invention relates to the technical field of multi-source information analysis, in particular to a niobium-tantalum metal ore metallogenic evaluation system based on multi-source information analysis, which comprises a geologic structure association module, a mineral distribution interpretation module, a metallogenic environment adaptation module, a spatial feature analysis module and a potential region judgment module. According to the method, by introducing a multi-source data analysis and fusion method, the evaluation precision and comprehensive capability of resource exploration are effectively improved, analysis after information fusion is combined with relevance and spatial modes of different data types, it is ensured that mineralization potential evaluation is more accurate, the limitation of a single data source and manual analysis is overcome, and the method is suitable for popularization and application. According to the method, the identification precision and reliability of the mineralization law are improved, the potential area can be identified more accurately, resource potential analysis is optimized in combination with the adaptability of the mineralization environment, the efficiency and accuracy of determining the mineralization area are remarkably improved, the problems of information isolation and analysis deviation in a traditional method are avoided, and the scientificity and the practical application value of the exploration process are enhanced.

The invention relates to the technical field of accurate calculation of mining quantity, in particular to an intelligent accurate calculation system of mining quantity based on a three-dimensional geologic model, which comprises a multi-source heterogeneous data acquisition module used for acquiring and preprocessing various data such as geologic structure and mineral distribution; the dynamic three-dimensional geologic modeling module constructs a digital geologic model; the precise reserve calculation module calculates exploitable reserves; the intelligent mining planning module is used for generating a mining path optimal solution set by adopting a hybrid taboo genetic optimization algorithm and evaluating the mining efficiency and the safety risk; the resource collaborative scheduling module is used for establishing a multi-objective optimization model of the equipment-personnel-transportation system by using a space-time constraint particle swarm optimization algorithm; and the visual decision support module supports real-time simulation and adjustment of the mining scheme through a WebGL three-dimensional visual engine and an AR interactive interface. According to the intelligent mining method, accurate calculation of the mining quantity and intelligent mining are achieved, the mining efficiency is improved, safety is guaranteed, resource allocation is optimized, and economic benefits are improved.

Apparatus and methods for monitoring emissions from a borehole to determine the composition of earthen material removed from the borehole are described. Monitoring can be done in real time as the borehole is being deepened with a millimeter-wave drilling beam. The present technology can monitor in real-time the elemental composition of the earthen materials (e.g., rock, minerals, crystals, metals, etc.) in a borehole created by a directed-energy beam that melts and vaporizes the earthen material materials in its path. Using a continuous emissions monitor (CEM) in combination with directed-energy excavation of a borehole enables rapid surveying of the subsurface for precious and commercial metals.

The invention discloses a prospecting method, device and equipment based on a multi-source remote sensing technology and a medium, and relates to the technical field of remote sensing geological survey, and the prospecting method based on the multi-source remote sensing technology comprises the steps: determining the distribution data of ore indicating factors of a research area through the multi-source remote sensing technology; the ore indicating factors comprise geological data, geophysical data and geochemical element content data of a research area extracted by a multi-source remote sensing technology; carrying out mineral content analysis on the known ore deposits in the research area, and determining the ore grades of the known ore deposits; training a pre-constructed prospecting model by taking the ore grade of the known ore deposit and the ore indicating factor of the known ore deposit as sample data to obtain a trained prospecting model; and inputting the distribution data of the ore-showing factors of the research area into the trained prospecting model so as to predict the mineral content of the research area through the prospecting model, and determining a prospecting potential area in the research area.

The invention provides a method for detecting the porosity of in-situ dump-leached ore, and belongs to the technical field of ore porosity detection. The method comprises the following steps: taking an ore body on site, preparing a filling agent, performing vacuum gradient impregnation, curing, dissolving and separating the ore to obtain a pore model; melting and softening the pore model to obtain the pore volume in the ore, and finally obtaining the porosity of the ore; wherein nano SiO2 is added into the filler resin, and permeation of tiny pores is guaranteed based on the size effect and the interface optimization effect of a nano material; and through vacuum gradient impregnation, sufficient permeation of tiny pores is further ensured. According to the detection method, the limitation of a drainage method on ore pores containing water-soluble minerals is avoided; the problems that ore samples need to be collected and taken back to a laboratory to be detected in a mercury injection method, a gas adsorption method and the like, the ore body structure is damaged, and consumed time is long are solved. Detection can be carried out on site, ore permeability parameters are provided for the in-situ dump leaching process, and a real-time basis is provided for flow selection.

The invention provides an ore leaching property analysis method, and belongs to the field of process mineralogy, and the method comprises the following steps: taking a to-be-detected sample, carrying out ore grinding treatment, and carrying out ore washing and desliming to obtain a pretreated sample; mixing the pretreated sample with graphite to prepare an automatic mineralogical analysis sample, measuring the content of a target mineral and the content of a target element through automatic mineralogical analysis, and calculating the average content of the target mineral; adding an agent into the pretreated sample to carry out leaching reaction, carrying out solid-liquid separation to obtain mineral residues, and calculating the mass ratio of the mineral residues to the pretreated sample before reaction; mixing mineral residues with graphite to prepare an automatic mineralogical analysis sample, analyzing the sample, measuring the content of residual target minerals and the content of residual target elements, and calculating the average content of the residual target minerals; and calculating a mineral leaching coefficient and an ore leaching coefficient based on the obtained data. The in-situ leaching recovery rate prediction method based on mineralogical analysis is suitable for development and evaluation of low-grade and complex ore bodies.

The invention discloses a satellite-air-ground-well multi-method collaborative shallow coverage area copper-gold ore exploration method, and relates to the technical field of mineral resource exploration, regional alteration mineral information is extracted in a shallow coverage area, and a porphyry type copper-gold ore prospecting prospective area is determined according to alteration mineral space distribution and zoning characteristics thereof; in the prospecting prospective area, a key exploration area is selected according to metallogenic geological conditions, aviation geophysical prospecting and aviation hyperspectral remote sensing investigation are carried out, and a prospecting favorable area is delineated; performing prospecting prediction on related ore types in the favorable prospecting area, and delineating a prospecting target area; determining a new drilling position in the target area; drilling verification and well logging are carried out, ground-well geophysical prospecting is carried out to describe the spatial form of the metallogenic geologic body, and the prospecting effect is expanded. According to the method, the favorable prospecting area and the prospecting target area can be more accurately delineated, the spatial form of the ore body is finely delineated, a reliable basis is provided for prospecting of the porphyry type copper-gold ore, and the prospecting success rate and efficiency of the porphyry type copper-gold ore in the shallow coverage area are greatly improved.

The invention provides a digital rock core three-dimensional reconstruction method containing pore and mineral distribution, and relates to the field of oil-gas exploration and development. The three-dimensional reconstruction method of the digital rock core containing pore and mineral distribution comprises the following steps: (1) marking positioning information on a sample; (2) acquiring pore three-dimensional information of the rock core sample; (3) obtaining a mineral analysis cross section; (4) carrying out QEMSCAN quantitative analysis; and (5) establishing a three-dimensional mineral model. According to the method, a multi-element three-dimensional mineral model of pore and mineral distribution is established, so that reservoir characterization and rock parameter simulation are better carried out, and a basis is provided for later reservoir evaluation and favorable exploration area selection.

The invention relates to the technical field of oil exploration, and discloses a rock mechanical parameter logging intelligent evaluation method considering continental facies shale fabric characteristics. The method comprises the following steps: 1, dividing shale lithofacies, identifying and determining the bedding development thickness of a sample through an optical microscope, determining a granularity experiment of the sample through granularity analysis, and forming mineral composition and bedding factor lithofacies division; 2, constructing a typical logging facies based on a rock electricity response relationship, and dividing the imaging logging facies of the research area according to natural gamma curves of conventional logging and imaging logging, core deposition structure characteristics and imaging logging image characteristics; 3, testing the longitudinal and transverse wave velocities and the porosity of different shale lithofacies, and calculating the dynamic elastic modulus and the Poisson's ratio. Through fine division and description, the method for accurately evaluating the bedding development condition, the particle size characteristics and the mineral components of the shale sample is provided, the testing time is short, the cost is low, and accurate evaluation of shale can be achieved.

The invention discloses an orthotropic rock physical modeling method. The method comprises the following steps: S1, obtaining tight reservoir parameters; s2, estimating the elastic modulus of the mixed minerals; s3, enabling the mixed mineral to be equivalent to a VTI background rock matrix caused by a thin layer; s4, matrix pores are added into a VTI background rock matrix; s5, embedding the vertical crack into the VTI background'dry 'rock skeleton to obtain an OA medium'dry' rock skeleton; s6, calculating the bulk modulus and saturated rock density of the mixed fluid; s7, adding the mixed fluid into the OA medium'dry 'rock skeleton to obtain OA medium saturated rock; s8, calculating longitudinal and transverse wave velocities and anisotropy parameters of OA medium saturated rocks; and S9, calculating OA medium saturated rock. According to the method, the tight reservoir with the orthotropic characteristic can be simulated, the Thomsen parameter and the fracture weakness parameter of the tight reservoir can be obtained, and data support is provided for fracture evaluation, anisotropic parameter inversion, permeability prediction and the like of the tight reservoir.

The invention relates to the technical field of geological data processing, in particular to a prospecting method and system based on geological text data, and the method comprises the following steps: obtaining exploration drilling data, extracting lithologic description, mineral composition and fracture filling conditions of a rock core, calculating the correlation index of drilling depth and mineralization thickness, screening the change trend of ore grade, and obtaining the geological text data. And obtaining mining area borehole lithology distribution data. According to the method, by deeply analyzing drilling data and lithologic characteristics, accurately recognizing a mineralized fluid accumulation area and improving the prediction precision of an ore body occurrence position, boundary control of a mineralized zone is optimized through measurement and calculation of spatial homogeneity, the extension precision of the mineralized zone is enhanced, scientific adjustment of a prospecting range is ensured through detailed analysis of altered mineral characteristics, and the method is suitable for large-scale popularization and application. The reasonability of demarcation of the prospecting target area is improved, multi-dimensional data and parameter analysis are integrated, a complete prospecting logic chain is constructed, and mineral product prediction precision and resource exploration efficiency are remarkably improved.

The invention discloses a nuclear magnetic T2 spectrum correction method for a shale reservoir, and relates to the field of object detection, and the nuclear magnetic T2 spectrum correction method for the shale reservoir comprises the following steps: 1, determining the gas logging porosity, saturated water porosity and main mineral components of the shale reservoir; compared with the prior art, the method disclosed by the invention has the beneficial effects that a drying-saturated water-centrifugal two-dimensional nuclear magnetic resonance experiment is carried out, and signals of crystal water, clay bound water and hydroxyl in a sample are preliminarily identified; through inversion of organic matter signals in the dry sample, signals of movable water are further determined; the relation between the difference value among the gas logging porosity, the saturated water porosity and the nuclear magnetic porosity and different mineral contents is discussed, and particularly the remarkable influence of iron-containing minerals on the porosity difference value is discussed; by eliminating the influence of diffusion relaxation caused by the magnetic susceptibility difference, the T2 spectrum correction method based on the mineral magnetic susceptibility is established, and the T2 spectrum accuracy obtained through nuclear magnetic resonance measurement is improved.

The invention relates to the technical field of oil and gas geological exploration, in particular to an over-mature hydrocarbon source rock parent material type distinguishing method and system.The method comprises the following steps that regional deposition characteristics are studied, an over-mature hydrocarbon source rock deposition environment is recognized, principal elements and microelements are extracted in combination with a geological background, and component relevance is judged; and sorting representative sedimentary environment elements, and establishing a sedimentary environment associated element set. According to the method, accurate recognition of the sedimentary environment is achieved by extracting major elements and trace elements, representative elements are screened, proportional analysis is combined with the macerals, distribution characteristics of saprolite groups, exinite groups and the like are determined, the ratio relation between the macerals and inorganic elements is recognized, a ratio operation set is constructed, and the relation between the macerals and the elements is analyzed in a multi-dimensional mode. The relationship between parent material types and maceral characteristics is disclosed, a maceral type index model is constructed, hydrocarbon source rock parent material type division precision and sedimentary environment analysis systematicness are improved, and a scientific basis is provided for oil and gas resource exploration.

The invention provides a method for characterizing the heterogeneity of a millimeter-level shale oil and gas reservoir. The method mainly solves the problem that the reliability and accuracy of a reservoir evaluation result of an existing volume sampling method are low. The method is characterized by comprising the following steps that S1, shale millimeter-level mineral components are recognized and drilled; s2, based on the obtained powdery sample, oil-containing and non-oil-containing tests are carried out; determining occurrence pore size distribution to carry out reservoir characterization through comparison before and after pumping; s3, on the basis of the obtained powdery sample, carrying out oiliness characterization on different lamina / layered components; and S4, carrying out millimeter-level shale oil reservoir heterogeneity characterization on the basis of the reservoir property and oiliness results of the different strata / layered components. According to the method provided by the invention, the identification precision of the shale formation / stratified structure can be enhanced, millimeter-level fine representation of lithology of different formation / strata is realized, and favorable support is provided for shale oil enrichment mechanism, sweet spot prediction and the like.

The invention discloses a method for analyzing a sedimentary basin object source based on the detrital zircon age, and belongs to the field of analysis and detection, and the method comprises the following steps: S1, uniformly sampling in a known well and a potential object source area of a target layer to obtain a rock sample; s2, slicing the obtained rock sample to obtain a plurality of common slice samples and casting body slice samples, then performing component identification on slices, and analyzing identification results; s3, performing statistics on sandstone debris components of the Benxi group sample in the research area, and drawing a lithologic triangular diagram; s4, drawing a Qt-F-L diagram according to the debris component data of the research area; s5, representative samples in the research area are selected for heavy mineral analysis; s6, selecting representative samples in the research area, and measuring major elements and rare earth elements in the representative samples to analyze the material source supply condition of the research area; s7, performing U-Pb chronological characteristic analysis on the fragment zircon of the sample; and S8, performing U-Pb dating analysis on the fragment zircon of the sample.

The invention discloses a mining plan making method and system, and relates to the technical field of automatic management, and the method comprises the steps: obtaining a mine image and environment data; extracting multi-dimensional features of the mine image, and fusing the multi-dimensional features to obtain fused features; inputting the fusion features into a recognition model to obtain a mineral recognition result; combining the environment data with the mineral identification result to form a mine environment-resource distribution map; and inputting the mine environment-resource distribution map into the mining model to obtain a mine mining plan. According to the mining plan based on machine vision and a large model, real-time and high-definition monitoring of the mine environment is achieved by integrating the high-precision camera shooting function and the advanced video processing technology, subjectivity and errors of manual judgment are reduced, the mining process is accelerated, optimal configuration and efficient utilization of resources are achieved, and the mining efficiency is improved. And higher production efficiency and economic benefits are brought to mine enterprises.

The invention provides an altered mineral recognition model construction method and system and a storage medium, and relates to the technical field of geological exploration, and the method comprises the steps: obtaining remote sensing data of a geological resource environment hyperspectral microsatellite for a target region; performing feature enhancement on the remote sensing data through a band ratio method to obtain band ratio features of the remote sensing data; performing principal component analysis on the remote sensing data to obtain principal component characteristics of the remote sensing data; splicing the waveband ratio feature, the principal component feature and the remote sensing data to obtain a high-dimensional feature matrix, and allocating an actual target mineral proportion to each pixel in the high-dimensional feature matrix according to preset mineral sample data; and training the initial recognition model according to the high-dimensional feature matrix and the actual target mineral proportion, and taking the trained initial recognition model as an altered mineral recognition model. According to the method, through multi-dimensional feature extraction and an advanced machine learning algorithm, the recognition effect on altered minerals is remarkably improved.

The invention provides a method for measuring a structure coefficient, and belongs to the field of process mineralogy, and the method comprises the following steps: selecting a representative ore sample, and preparing an automatic mineralogy analysis sample; performing automatic mineralogical analysis on the automatic mineralogical analysis sample, measuring the area of a target mineral and the content of a target element, and calculating a structural distribution coefficient, an edge structural distribution coefficient and a far-end structural content of the target mineral in combination with the density of the target mineral; and based on the target mineral structure content, the edge structure content and the far-end structure content, a target mineral structure coefficient, an edge structure coefficient and a far-end structure coefficient are calculated respectively, and an ore structure coefficient is obtained through weighted summation. According to the method, a special calculation method is set, the structural characteristics of the ore are comprehensively represented by the target mineral structure, the edge structure and the far-end structure, and the structural characteristics of the ore can be measured; through analysis of ore characteristic structures, structure coefficients are calculated so as to represent the influence of the structures on the permeability of the ore.

The invention discloses a hyperspectral satellite target rock and mineral identification method and system based on spectral characteristic parameters. The method comprises the following steps: S1, collecting and preprocessing a standard rock and mineral reflection spectrum curve; s2, collecting a regional hyperspectral satellite image and carrying out image preprocessing; s3, identifying diagnostic spectral reflection and absorption characteristics of the target rock mine based on the standard curve; s4, screening and extracting a diagnostic spectral range of the hyperspectral satellite image; s5, calculating diagnostic spectral characteristic parameters of the hyperspectral image target rock mine; and S6, on the basis of the S5, processing the spectral characteristic parameters obtained by calculation, and realizing target rock and mine identification based on multi-dimensional diagnosis spectral characteristics. According to the method, the application potential of the hyperspectral satellite image in the field of remote sensing geology is effectively improved and the scientificity and the accuracy of the hyperspectral satellite image in large-range rock and ore recognition drawing application are improved through the target rock and ore standard spectral curve characteristic analysis, hyperspectral satellite image processing and spectral characteristic parameter estimation methods.

The invention belongs to the technical field of magnetite beneficiation, and particularly relates to a method for removing iron impurities in minerals through manual and automatic three-stage combination in magnet beneficiation, a three-stage iron removal system is arranged, the iron impurities and ferromanganese are detected step by step according to the size of the iron impurities and the property of magnets or ferromanganese, and a detected magnetic field is cooperatively calibrated step by step; and iron impurities in the ores are removed in a classified manner. Compared with the prior art, the system has the beneficial effects that a manual and automatic three-stage combined iron removal solution is adopted, large magnetic iron impurities, small magnetic iron impurities and ferromanganese impurities in the process are efficiently classified and removed in a targeted manner, damage of the iron impurities to equipment such as an ore crusher and a belt conveyor is avoided, the operation efficiency of the process is improved, and the production cost is reduced. And the problem of removing iron impurities in magnet beneficiation is solved.

The invention discloses an efficient ion adsorption type rare earth ore deposit prospecting exploration method which comprises the following steps: 1) delineating a prospecting prospecting area indoors through a geochemical exploration weak anomaly extraction technology; 2) investigating the rare earth mineralization enrichment law and the characteristics of rare earth minerals and clay minerals in the prospecting prospective area, carrying out large-scale geological mapping in the field, and delineating a prospecting target area; and 3) quickly positioning and evaluating the rare earth ore body through a field on-site manual percussion drill technology. According to the method, through the technical combination of the rare earth enrichment mechanism, the mineralogy, the chemical exploration weak anomaly extraction technology and the field rapid evaluation technology, rapid prospecting exploration is achieved, the prospecting efficiency and success rate of the rare earth ore are greatly improved, the time is shortened, the procedure is simplified, and the cost is greatly reduced.