761 results about "Maceral" patented technology

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 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 discloses a quantitative evaluation method for complexity of shale oil and gas horizontal well reservoir reconstruction cracks, which comprises the following steps: determining a crack development strength factor representing reservoir inherent crack development potential by calculating a mineral heterogeneous coefficient based on rock sample mineral component data at each perforation cluster position in a target fracturing section; determining the optimal fracture length by combining reservoir numerical simulation, determining the total fracturing fluid amount, performing non-uniform distribution according to the heterogeneity of each cluster, and determining a fracture propagation complexity factor representing the dynamic propagation complexity of the hydraulic fracture; weighting the two factors to obtain a crack complexity index for comprehensively evaluating the reservoir transformation effect, and performing grading; according to the method, static geological evaluation and dynamic engineering evaluation are combined, quantification of inter-cluster transformation differences is achieved, the defects that a traditional method is one-sided in evaluation and low in precision are overcome, and a reliable quantitative basis is provided for optimal design of a shale oil and gas reservoir fracturing scheme and accurate evaluation of the transformation effect.

The invention provides a metal ore artificial intelligence sorting method based on lithofacies analysis, and relates to the technical field of data processing, and the method comprises the steps: obtaining a unified image of an ore sample, extracting a crystal structure contour, and calculating texture direction consistency, particle distribution density and color concentration degree in each region; constructing a lithofacies analysis model based on a two-channel neural network; training the lithofacies analysis model according to the training data set to obtain a fusion recognition model; obtaining an ore image to be sorted, and inputting the ore image to be sorted into the fusion recognition model to obtain predicted mineral distribution data; and extracting a boundary confidence factor and a region type probability, carrying out re-calibration on predicted mineral distribution data, generating a sorting control instruction, and driving sorting equipment to carry out physical sorting operation. The rock facies analysis is carried out on the ore image sample through artificial intelligence, and the types of symbiotic minerals can be accurately distinguished.

The invention relates to the technical field of big data processing, and discloses a data extraction method and system for geological mineral exploration, and the method comprises the steps: carrying out the standardization preprocessing of original data containing space coordinates, lithology texts, mineral components, logging curves and mineralization labels; spatial, semantic, concentration and time sequence deep representations are extracted in parallel through a multi-modal geologic feature encoder and fused into high-dimensional vectors; applying structured sparse constraint to the features by using a graph attention mechanism guided by an expert knowledge graph, and strengthening a mineralization association dimension; a dynamic incremental learning engine is combined with an elastic weight solidification mechanism to realize local fine tuning of model parameters and historical knowledge retention; and finally outputting a mineralization potential score, a mineralization factor sequence and an abnormal element combination. According to the method, through triple mechanisms of multi-modal fusion, knowledge embedding and incremental evolution, the accuracy, interpretability and timeliness of data extraction are improved, and the real-time analysis requirement of large-scale mineral exploration is met.

The invention provides a method for measuring and calculating the article position of continuous silver ore with the particle size of 0.037 mm or above, and belongs to the technical field of mineral grade detection. The silver grade in the sample is measured and calculated through screening; leaching and measuring the content of silver monomers and continuous silver minerals, and reselecting to obtain a heavy sand product; carrying out fluorescent dyeing on the heavy sand product, and selecting monomer silver minerals; analyzing the color of the silver mineral through point scanning data of a scanning electron microscope, melting the monomer silver mineral to obtain the volume of the monomer silver mineral, and calculating the content of the monomer silver mineral; and carrying out conversion to obtain the continuous silver ore article position with the size of more than 0.037 mm. According to the method, the target mineral is rapidly and accurately obtained by adopting density medium reselection and fluorescent dye tracing; introducing a scanning electron microscope to measure and calculate the actual density of the silver mineral to replace the theoretical density, smelting the silver mineral in a mold, and carrying out volume measurement and calculation to obtain the actual metal amount closer to the actual silver mineral; measuring and calculating errors caused by impurities and irregular shapes of mineral particles are reduced; and the calculated grade of the silver mineral is more accurate.

The invention relates to the technical field of mineralogy, in particular to a complex iron mineral distinguishing and quantifying method and an iron mineral content analysis method, which innovatively combines chemical dissolution, automatic mineralogy analysis and a micro-area magnetic verification technology to realize distinguishing and quantifying of complex iron minerals. According to the analysis method, a closed and mutual verification analysis system is formed, acid treatment of carbonate, automatic mineralogy analysis of residual minerals, micro-area magnetic verification correction of misjudgment of maghemite, element surface scanning verification of mineralogy total quantification accuracy and a final calculation result, and closed verification of the total iron content of chemical analysis are combined, and therefore the comprehensive performance of the magnetic separation system is improved. The reliability of a final result is ensured and standardized popularization and application are facilitated.

The invention discloses a surrounding rock quality grading method and system suitable for being carried by an unmanned aerial vehicle in a tunnel. The method comprises the following steps: scanning a tunnel face by adopting unmanned aerial vehicle carried equipment to obtain imaging hyperspectral images scanned for multiple times; performing spectrum extraction on the hyperspectral images scanned for multiple times to obtain local mineral features, and performing image extraction on the hyperspectral images to obtain local rock mass integrity features; splicing the imaging hyperspectral images scanned for multiple times to obtain an overall imaging hyperspectral image of the tunnel face; performing feature extraction on the spectrum in the overall imaging hyperspectral image to obtain mineral features; performing feature extraction on the image in the overall imaging hyperspectral image to obtain rock mass integrity features; judging whether a special local area exists or not, if yes, rejecting special local area information and inputting local mineral features, local rock mass integrity features, mineral features and rock mass integrity features into a Bayesian hierarchical model, and if not, directly inputting the features into the Bayesian hierarchical model to perform surrounding rock quality grading.

The invention relates to the technical field of mineralogy, and provides a prediction method for mineral flotation yield. According to the method, the content and dissociation degree of the target minerals under different size fractions are accurately obtained through the technologies of ore grinding, system screening and automatic mineralogy analysis, the yield prediction method based on the mineral selectability physical model is established, the crossing from elements to minerals and from the whole to the size fractions can be achieved, and the yield prediction accuracy is improved. And a brand-new, scientific and reliable technical reference is provided for precise prediction and process optimization of the sulfide ore flotation yield.

The invention belongs to the technical field of vanadium enrichment mechanisms of phosphorus vanadium ores, and discloses a research method of a vanadium enrichment mechanism in a diagenetic stage of phosphorus vanadium ores, which comprises the following steps: S1, sample collection and treatment; s2, rock ore identification and mineral composition analysis; s3, analyzing the occurrence state and microcell morphology of vanadium; s4, performing geochemical analysis on the whole rock; s5, in-situ microcell geochemical analysis is carried out; s6, phosphorus nodule analysis; s7, comprehensive analysis and mineralization model establishment; according to the method, mineralogy, total rock geochemistry, micro-area surface scanning and other multi-scale and multi-means research methods are comprehensively utilized, and the vanadium occurrence state, the ore-forming fluid evolution and the phosphorus-vanadium coupling relation are finely described; in-situ microcell geochemical analysis is introduced into phosphorus nodule analysis, the internal structure, the growth sequence and element distribution of the phosphorus nodule are directly revealed, obvious frontier and systematicness are achieved, and reliable theoretical support is provided for accurate exploration of vanadium ore resources and green and efficient dressing and smelting process research and development.

The invention discloses a construction method of a synthetic rock mass digital model containing a three-dimensional master control fracture, and belongs to the technical field of rock mass numerical simulation. The method comprises the following steps: collecting a complete rock mass and a crack-containing rock sample on site, and preparing a coal rock sample; reconstructing a rock core through CT (Computed Tomography) scanning and Avizo software, and segmenting a mineral matrix and fractures; based on a Fisher statistical distribution method, performing standardization processing on the orientation characteristic parameters of the three-dimensional fracture of the rock; carrying out grouping and dominance analysis on the fractures; the method comprises the following steps: carrying out coal sample fracture analogue simulation by adopting a DFN in software 3DEC, and generating a DFN-Voronoi block model; a DFN-Voronoi SRM model is manufactured; carrying out a compression experiment on the model to monitor stress and strain; and carrying out DFN-Voronoi SRM model parameter sensitivity analysis based on a single-factor experimental method, and proposing a parameter calibration method. According to the method, the mechanical property and the dominant fracture group of the rock sample are considered, and a parameter acquisition and calibration method of the model is completely given in the aspect of model calibration; fracture network construction and model synthesis are optimized, and DFN-Voronoi SRM model parameter sensitivity analysis and calibration are summarized.

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 provides an electric logging data normalization processing method and equipment based on X-ray diffraction (XRD) mineral constraint, and belongs to the field of petroleum logging engineering.The method comprises the steps that test data of mineral composition parameters and cable logging data of rock physical property parameters are obtained, and the mineral composition parameters at least comprise rock mineral composition obtained through X-ray diffraction testing; based on the test data of the mineral composition parameters, determining calculated values of the rock physical property parameters by utilizing a volume summation method; judging whether the calculated value of the rock physical property parameter is completely matched with the cable logging data of the rock physical property parameter or not; if the judgment result is incomplete matching, performing normalization processing on the cable logging data of the rock physical property parameters based on the calculated values of the rock physical property parameters; otherwise, the normalization processing is not carried out. Through the method provided by the invention, all system errors of the cable test data can be reduced, so that the cable logging information can more accurately reflect the physical properties of underground rocks.

The invention relates to the crossing field of mineralogy and geochemistry, in particular to a mineral and element relation analysis method for gold-bearing minerals based on image matching and data fusion and application of the mineral and element relation analysis method. Comprising the steps of ore sample processing, gold-bearing mineral image calibration through AMICS, trace element scanning through fixed-point EPMA and EDS, image-level matching and spatial data fusion and gold-bearing mineral-element relation analysis. According to the method, the AMICS mineral map and the EPMA element information are fused, relation analysis of trace elements in the gold ore and visual reconstruction of a mineral-element corresponding mechanism can be achieved, and effective data and image models are provided for microcosmic metallogenic information requirements in digital mine construction.

The invention discloses a metamorphic rock P-T-t trajectory reconstruction method and system based on multi-source data fusion, and relates to the field of metamorphic rock P-T-t trajectory reconstruction.The method comprises the steps that electronic probe microcell map data and internal standard sample data of a metamorphic rock sample are obtained, and multi-stage data correction is conducted; carrying out mineral phase identification and chemical component quantitative interpretation to generate a mineral classification map, an element concentration distribution map and a total rock main component data set; thermodynamic phase equilibrium simulation is carried out, a P-T view profile map is generated, and a P-T track is extracted; performing microcell in-situ chronological analysis on selected minerals in the mineral classification map to obtain chronological data; and carrying out space-time coupling on the P-T trajectory and chronology data, constructing a P-T-t three-dimensional trajectory model of the metamorphic rock, and outputting a visual reconstruction report. According to the method, automation and standardization of the whole process of metamorphic rock P-T-t trajectory from data acquisition and processing to model reconstruction are realized, and the precision, efficiency and reliability of trajectory analysis are improved.

The invention discloses a leucite mineral separation system and process, and relates to the technical field of mineral separation, and the separation system comprises a magnetic field generation mechanism, a conveying assembly, a scraper, a guide plate, a tailing outlet and a concentrate outlet. The magnetic field generating mechanism is used for generating magnetic fields; the conveying assembly is used for conveying concentrate in the forward direction and conveying tailings in the reverse direction, the scraping plate is used for scraping the concentrate from the conveying belt, the flow guide plate is used for guiding flow of the concentrate so as to classify the concentrate, and therefore the purpose of conducting multi-stage classification treatment at a time can be achieved, and the classification efficiency is improved.

The invention provides a pore geometric morphology fine characterization method based on confining pore forming of mineral particles, which comprises the following steps: S1, performing fine characterization of the mineral particles based on geometric morphology characteristics, and accurately identifying the mineral particles in combination with characterization results; s2, performing geometric shape quantitative characterization on different types of pores from the angles of pore diameters, roundness, flatness, shape indexes and corner angle indexes to obtain geometric shape parameters of the pores; s3, on the basis of the recognized mineral particles, the names of confinement pores are determined, clustering analysis is conducted on the confinement pores in combination with the geometric morphology quantitative characterization result obtained in the step S2, and a pore classification scheme is established; and S4, based on a classification scheme and a quantitative characterization result, determining development characteristics of shale reservoir pores, establishing a porosity contribution index model formula, and matching and verifying a reservoir physical property result. According to the method, through comprehensive analysis of the pore morphological characteristics, solid data support and theoretical basis can be provided for scientific evaluation of a high-quality pore development mode.

The invention relates to the technical field of ore deposit geological exploration, in particular to a method for judging the composite mineralization of a magma hydrothermal system, which comprises the following steps: 1) field geological survey and total factor sampling; 2) screening characteristic minerals and identifying lithofacies; (3) feature mineral mineralization generation division and cause preliminary exploration; 4) in-situ microcell geochemical analysis; (5) geochemically verifying the formation cause of the ore deposit; 6) analyzing an element zoning mode; and 7) reconstructing the composite mineralization process. According to the method, lithofacies discrimination, mineral geochemical analysis and mineral internal element spatial distribution (mapping / plane scanning) are organically combined, a multi-scale and multi-criterion synergistic composite mineralization recognition system is constructed, the magma hydrothermal system mineralization type can be effectively recognized, and then the composite mineralization process is reconstructed. The problem of lithofacies and geochemical splitting in traditional analysis is solved, and key technical support is provided for complex magma hydrothermal cause deposit analysis and deep prospecting prediction.

A method for generating a training dataset for determining grain boundaries and minerals in a thin section of a rock sample, includes receiving the thin section of the rock sample, generating optical images of the thin section with an optical tool, generating mineral phase images of the thin section with an electron microscopy tool, computing first and second pseudo-images based on different features extracted from the optical images, generating the training dataset based on (1) the optical images, (2) the mineral phase images, and (3) the pseudo-images, and training a single deep neural network, DNN, based on the training dataset to simultaneously determine a mineral type and grain boundaries in the thin section of the rock sample.

The invention discloses a method for analyzing diagenesis of clay minerals by combining physical simulation and numerical simulation, which comprises the following steps: selecting clay single minerals, and preparing a formation water solution; respectively filling the clay single mineral and the stratum water solution into a plurality of reaction kettles, and carrying out diagenesis physical simulation; establishing a numerical simulation model with the same physical simulation experiment condition, and outputting mineral and ion data; according to mineral and ion data, fitting a physical simulation experiment result and a numerical simulation result, and determining a mineral corrosion rate; and establishing a geologic model by taking the mineral dissolution rate as a reference, and performing clay single mineral diagenesis simulation within a geological time scale. According to the method, numerical simulation parameters are constrained by physical simulation experiment results, and comparison and verification of numerical simulation and physical simulation results are realized by adjusting mineral corrosion kinetic parameters in real time, so that the numerical simulation experiment results are close to actual conditions.

The invention provides a gold ore phase analysis method, and belongs to the field of mineral analys.The gold ore phase analysis method comprises the steps that a gold ore sample is prepared into ore pulp, the pH value is adjusted to 10-11, ultrasonic cavitation treatment is conducted after polyethylene glycol is added, and limonite turbid liquid and sedimentation bottom mud are obtained through separation; the turbid liquid is subjected to flocculation precipitation, drying, roasting, acid dissolution and impurity removal, and the limonite gold-loaded grade is obtained through the mass difference before and after dissolution and gold concentration determination; separating metal sulfide ore heavy minerals and gangue minerals from the settled bottom mud through artificial heavy elutriation, performing acid dissolution and impurity removal on the metal sulfide heavy minerals, and calculating the gold loading grade of the metal sulfide heavy minerals through mass difference and gold concentration determination; after gangue minerals are subjected to oxidizing roasting, the gold content is measured after concentrated acid dissolution; and calculating the distribution rate of gold based on the result. The gold loading grade and distribution of the limonite phase, the metal sulfide ore phase and the gangue mineral phase are measured in a split-phase mode, the method is highly matched with the gold ore development process, operation is easy and convenient, the result is reliable, and beneficiation and metallurgy technological process formulation and technical index pre-judgment can be effectively served.

The invention provides a rock mineral composition intelligent analysis method and system combining a three-dimensional point cloud and a knowledge graph, and relates to the technical field of geological information intelligent analysis. According to the method, knowledge graph data in the mineral and rock fields are constructed, a consistency rule and an inference rule are configured, and a corresponding relation between a semantic unit and an evidence feature is established in combination with color, reflection intensity, texture and band attributes of a three-dimensional point cloud; performing category reasoning and relationship consistency verification under knowledge constraints, and introducing bedding continuity and boundary consistency constraints to perform global optimization to generate a three-dimensional component distribution diagram; and when the on-site checking deviation exceeds a threshold value, automatically updating the knowledge graph and the rule and solving again to realize self-learning and closed-loop optimization. According to the method, high-precision identification and dynamic checking of three-dimensional components of rock minerals can be realized, and automation and reliability of geological information analysis are remarkably improved.

In one aspect, the disclosure relates to a method for recovering critical minerals from a solution, the method comprising: (a) providing a critical mineral solution comprising at least one critical mineral and water; (b) contacting the critical mineral solution with an acid or a base in an amount sufficient enough to adjust the pH to a value of about 2 to about 7; (c) contacting the critical mineral solution with a first modified biochar, forming a first saturated biochar; and (d) desorbing the first saturated biochar, thereby forming a first critical mineral precipitate, a first stripped biochar, and a first aqueous phase. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present disclosure.

The application provides a high-efficiency recovery method for copper in chalcocite-type copper concentrate sulfuric acid roasting and acid leaching residue, and belongs to the technical field of mineral processing.The application recovers sulfide copper minerals and intergrowth of the sulfide copper minerals and cupric ferrite in chalcocite-type copper concentrate sulfuric acid roasting and acid leaching residue through flotation, then recovers cupric ferrite and intergrowth of the cupric ferrite and the sulfide copper minerals in middlings and tailings in the flotation through magnetic separation, and finally recovers superfine cupric ferrite and copper mineral particles completely wrapped by gangue minerals in the tailings in the magnetic separation through chemical dissociation.The application uses the method of combination of flotation, magnetic separation and chemical dissociation, strengthens recovery of the copper in chalcocite-type copper concentrate sulfuric acid roasting and acid leaching residue, and the comprehensive recovery rate can reach 91.18%.

The invention belongs to the field of petroleum geology, and particularly relates to a method for theoretically calculating the preservation temperature and pressure upper limit of a sedimentary basin inclusion. On the basis of analyzing and determining the deformation weakness direction of common minerals in the sedimentary basin, the common diagenetic minerals are subjected to stretching or burst pressure difference analysis, and the deformation weakness direction of the common minerals in the sedimentary basin is determined by setting the uniform temperature, salinity and CO2 and CH4 concentrations of fluid inclusions under different systems, drawing up isovolumetric lines of the fluid inclusions with different salinity under different systems and drawing up a formation temperature and pressure gradient curve. And finally, obtaining the theoretical temperature and pressure of stretching or bursting of the fluid inclusion along with formation lifting / deep burying through the difference between the isovolumetric line of the fluid inclusion with different salinity and the formation temperature and pressure gradient line under different systems. The method is an important supplement to the basic theory and the analysis method of the fluid inclusion, is a deepened understanding of the rebalance mechanism of the fluid inclusion, and is helpful for promoting the development of geochemistry of the fluid inclusion.

The invention relates to the technical field of mineral resource prospecting exploration, in particular to a prospecting prediction method based on a compound rock mass anatomy porphyry-skarn composite mineralization system. The control factors and formation mechanism of the ore deposit are clarified, and the deep earth dynamics process of porphyry mineralization development is disclosed. Through typical ore deposit fine dissection, the space-time structure characteristics of mineralization in different structural evolution stages are discussed; according to the method, mineral in-situ micro-area surface scanning and sulfide isotope in-situ tracing technologies are utilized to determine occurrence forms of metallogenic elements, restrain activation migration behaviors of microelements, find out sources of metallogenic metal substances, reveal a superposition metallogenic development mechanism and provide theoretical basis and technical support for prospecting exploration.

The invention belongs to the technical field of oil and gas reservoir rock data identification, and particularly relates to a three-dimensional multi-mineral digital core modeling method. According to the method, a 2D-3DGAN algorithm is provided, a three-dimensional data volume can be generated only by using a single two-dimensional picture, the advantages of a 2D-3DGAN method and an AMICS method are combined, a modeling method of 'AMICS + 2D-3DGAN' is provided to establish a multi-mineral, high-precision and efficient three-dimensional multi-mineral digital core, the representative two-dimensional ore scanning image is obtained by using the 2D-3DGAN method, and the three-dimensional data volume can be generated only by using a single two-dimensional picture. And generating a three-dimensional multi-mineral digital image by using the obtained two-dimensional mine scanning image as a training image. The built model not only contains multiple minerals, but also gives consideration to accuracy and economical efficiency, can represent reservoir rocks, and provides a firm basis for subsequent diagenesis simulation based on multi-mineral digital cores and research on electrical, acoustic and mechanical properties of reservoirs.

Provided herein are methods of determining the reactivity of one or more minerals present within a geological formation within a target zone in response to the injection of CO2 into the target zone. For example, the methods may comprise one or more of the following steps: (1) determining one or more mineral and fluid characteristics of a geological formation comprising one or more minerals; (2) using a reaction rate model to characterize the chemical reactivity of one or more minerals present in a target zone of the geological formation in response to injection of CO2 into the target zone; (3) using a reactivity index model to estimate the amount of one or more minerals in the target zone that would be modified between a first time point and a second point during a CO2 injection and sequestration operation; and (4) injecting an amount of CO2 into the target zone based on the estimated reactivity of the one or more minerals present in the target zone.

The invention discloses a raw ore mineral parameter-based tailing index dynamic prediction method, which comprises the following steps of: establishing a quantitative correlation model of mineral parameters and tailing indexes according to the grade alpha of a target element in a raw ore, the weight content W of a target mineral, the content D of the target element in the target mineral and the dissociation degree under a certain fineness condition; based on the model, tailing indexes corresponding to different intergrowth types can be predicted in real time, a traditional laboratory multi-round verification test is replaced, reagent consumption is reduced, and the test period is shortened. And meanwhile, optimal ore dressing process parameters are reversely deduced by setting an environmental protection threshold value, collaborative optimization of the resource recovery rate and environmental protection compliance is achieved, and the technical problems of resource waste and excessive emission in a traditional ore dressing process are solved.

The invention discloses a PINN and DWM-based tunnel face three-dimensional structure real-time inversion method and system, particularly relates to the technical field of mineral geological exploration, and is used for solving the problem of fusion failure caused by a conductive mineral shielding effect, drilling track offset and physical dimension mismatch in the prior art. By synchronously collecting drilling parameters and geophysical field data, spatial distribution of a conductive mineral enrichment area is identified, and a drill hole-geological interface position relationship is analyzed; after establishing joint feature data of spatial constraint, inputting a physical information neural network to dynamically adjust a field-force coupling weight: enhancing the weight based on electromagnetic wave attenuation characteristics and drilling parameter sudden change response, and reducing the weight according to an included angle between a hole wall crack and a drill hole axis; and finally, inverting rock mass parameters through a loss function of double physical constraints, and constructing a three-dimensional geologic model fusing resistivity and mechanical properties. The cross-scale multi-source data accurate fusion is realized, and the ore body boundary identification precision is obviously improved.