96 results about "Mineralogical composition" patented technology

The invention relates to the technical field of process data analysis and processing, and discloses a coal-based solid waste recycling full-process intelligent management and control platform and a digital twin system. The platform is characterized in that an identification module identifies a coal-based solid waste mineral phase through a ray diffractometer to obtain mineral composition classification data; the construction module constructs a digital twinborn model based on the classification data, simulates a dissolution reaction, and obtains weathering soil formation process data; the establishment module establishes a pollutant migration prediction model according to the process data to obtain environmental risk data; the optimization module optimizes the risk data through an improved particle swarm-genetic hybrid algorithm to obtain a resource path scheme; and the adjusting module adaptively adjusts the process parameters based on the path scheme to obtain a whole-process management and control instruction. The problems that accurate mineral phase recognition and intelligent classification are lacked in the coal-based solid waste recycling process, and a dynamic prediction model cannot be constructed and a weathering soil forming process cannot be simulated in real time based on mineral composition data are solved.

The invention relates to a digital intelligent regulation and control preparation method and system for a high-solid-waste low-carbon high-performance grouting material, and solves the problems that a traditional preparation technology lacks an autonomous and controllable digital intelligent regulation and control system and is weak in adaptability to fluctuation of raw materials, and the method comprises the following steps: obtaining XRF chemical components and XRD mineral composition data of industrial solid waste raw materials; constructing a material gene database; based on the database, screening a proportioning scheme by using a performance prediction model, and predicting workability, strength development and shrinkage performance; inputting a prediction result as a fitness function into a multi-objective optimization algorithm, and outputting an optimal material gene combination; a batching scheme is generated based on the optimal combination, and a stirring process is started after technological parameters are preset; collecting data through a real-time monitoring system, and comparing the data with the digital twin model; and based on a comparison result, automatically adjusting material proportioning parameters. The high-solid-waste, low-carbon and high-performance grouting material has the advantages that accurate design and regulation of the high-solid-waste, low-carbon and high-performance grouting material are achieved, material performance is improved, and carbon emission and cost are reduced.

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 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 technical field of road engineering, in particular to a detection method for evaluating cohesion characteristics of river-crossing shield tunnel waste slag improved soil for roadbed filling, which comprises the following steps: preparing a solidified soil sample; calculating coupling parameters; obtaining a static cohesion force and a dynamic cohesion force; obtaining a water stability coefficient; based on the collected roadbed filling characteristic parameters, the static cohesion, the dynamic cohesion and the water stability coefficient, constructing a dynamic resilience modulus correlation model; grading the cohesion characteristics of the solidified shield soil according to the coupling parameters and the dynamic rebound modulus; detecting actual values of the coupling parameters and the dynamic resilience modulus of the to-be-evaluated solidified soil, and determining the grade of the to-be-evaluated solidified soil; according to the cohesion characteristic detection method, the characteristics of shield tunnel soil particles, mineral composition and roadbed filling scenes are fitted, actual working conditions are simulated, and the solidification effect is quantified, so that a scientific basis is provided for engineering application of shield tunnel soil solidification improved roadbed, and the problems in the background technology are effectively solved.

The invention discloses a crack in-situ plugging and self-repairing method based on homologous rock ore self-activation, and relates to the technical field of rock soil and geological engineering, and the method comprises the following steps: 1, obtaining target rock stratum broken rock, and grinding the target rock stratum broken rock to 100 [mu] m or less to prepare homologous rock powder; 2, preparing a low-concentration acid / alkaline activator to provide a medium for the reaction; 3, the rock powder and an activating agent are mixed in a solid-liquid mode and then stirred into uniform slurry; and fourthly, grout is injected into the cracks through spiral drilling grouting equipment, and the fine cracks are covered through the capillary action. And 5, cementing the slurry by virtue of a stratum or an external heat source to form a crystallized cemented body, and realizing crack plugging and self-repairing. The target rock stratum in-situ broken rock ore is ground into powder, the material source is wide, the cost is low, the powder is consistent with the geological environment mineral composition, the formed rock ore is tightly combined with the surrounding rock, interface sufficient cementation is avoided, the long-term stability is improved, and the problems of secondary leakage, falling and environment caused by heterogeneity of a traditional exogenous material are effectively solved.

The invention discloses a multi-parameter dynamic coupling hydrothermal activity deterministic calculation and quantitative evaluation method which is used for quantitatively evaluating hydrothermal activity in marine shale. The method comprises the following steps: firstly, collecting a typical marine shale sample, and carrying out systematic experimental test analysis, including TOC determination and element content (ICP-MS, XRF) and mineral composition (XRD, FEM-EDS) analysis, to obtain geochemical and mineralogical data of the sample; thirdly, constructing a hydrothermal influence index (HII), and based on the influence of organic matter development on nonlinear enrichment of metal elements, introducing TOC data to perform dynamic threshold adjustment on HII to form an HIIc model; and the existence of hydrothermal activity is further verified by combining the rare earth element Eu abnormity. The method comprises the following steps: constructing a hydrothermal mineral combination index (HMI) through mineral phase equilibrium constraint, and establishing a hydrothermal contribution rate (HCR) model in combination with multivariate parameters; and finally, according to the HCR value and mineral development characteristics, performing quantitative evaluation on the activity intensity of the hydrothermal solution.

The present invention discloses the system and method of preparation of a surface-modified crystalline blend to enhance the properties of water by optimizing its mineral composition, alkalinity, and bioavailability. The crystalline blend comprises Tourmaline, Shungite, Jade, Silica, Zeolite, Lava Stones, and Calcareous Shale, with additional minerals like Maifan, Calcite, and Dolomite to enhance water quality. The invention utilizes Bioactive Crystal Resonance Technology (BCRT), wherein individual minerals are heated below their phase transition temperature to activate them while maintaining their crystalline state providing controlled activation and ensuring a regulated release of beneficial minerals, preventing excessive increases in pH or TDS levels while significantly reducing heavy metal leaching. The system includes a perforated membrane leveraging irregularly shaped crystals ranging from 0.5 to 5mm, allowing water to interact with the modified minerals to restore essential nutrients, increase hydration efficiency, improve detoxification, alkaline water, and provide antioxidant benefits.

The invention relates to the technical field of underground hydrogen storage, and discloses an underground hydrogen storage prediction method coupled with a chemical reaction. The method comprises the following steps: determining the hydrogen leakage flux of the underground hydrogen storage according to reservoir information of the underground hydrogen storage based on the Darcy law; according to three-phase substances including mineral composition, solution composition and gas composition of the underground hydrogen storage, a physical model containing a mineral-fluid-gas storage three-phase substance equilibrium relation of the underground hydrogen storage is established by utilizing the law of conservation of substances; according to the dissolution trends of different minerals in the underground hydrogen storage under the hydrogen-fluid-rock chemical reaction system, a dissolution kinetic model of the different minerals is established; and according to the hydrogen leakage flux, the coupling physical model and the dissolution kinetic model, obtaining the change conditions of mineral composition, solution composition and gas composition in the underground hydrogen storage library caused by hydrogen-fluid-rock chemical reaction under the hydrogen leakage flux, so as to predict the hydrogen storage condition of the underground hydrogen storage library.

The invention relates to the technical field of shale mechanical property prediction, and discloses a shale mechanical property prediction method based on a shared decision tree multi-task gradient elevator, which comprises the following steps: S1, taking sample data of different blocks under different storage conditions as data sources, wherein the total organic carbon content TOC, the sampling depth, the mineral composition, the temperature and the pressure are used as characteristic data, and the elastic modulus, the Poisson's ratio and the compressive strength of the shale are used as label data; and randomly dividing the feature and label data into a training set, a verification set and a test set according to a ratio of 0.7: 0.2: 0.1. Compared with a traditional experimental measurement method, the shale mechanical property prediction method based on the shared decision tree multi-task gradient elevator has the advantages that on the premise of reducing the measurement cost, the nonlinear relation between the multi-source characteristics such as mineral components, confining pressure and temperature and the shale mechanical property is effectively captured, and the prediction accuracy is improved. The final fitting precision is high, and the prediction speed is improved.

The invention discloses a mineral activator for a low-clinker silicate cementing material, which is prepared by jointly grinding 75.0-85.0 wt% of mineral activator clinker and 15.0-25.0 wt% of calcium carboxylate until the specific surface area is 350-400 m < 2 > / kg, the proportioning parameters of the mineral activator clinker are as follows: the calcium-sulfur ratio is 1.0-1.5, and the silicon-aluminum ratio is 1.8-2.0; the mineral composition comprises the following components in percentage by weight: 40 to 63 percent of anhydrous CaSO4 mineral, 30 to 50 percent of CaO mineral, 5 to 8 percent of CaCO3 mineral and 2 to 5 percent of Ca3Al2 (SiO4) 3 mineral. The mineral activator disclosed by the invention can be prepared into a low-clinker silicate cementing material with the cement clinker dosage of less than 20%, can meet the working performance, mechanical property and durability required by modern concrete preparation, and has basic conditions for bulk concrete engineering application.

The invention discloses a formation pressure inversion method based on formation elastic modulus data. Rock sampling is carried out on an engineering site, micrometer CT scanning is carried out on a sample to obtain the porosity of the sample, and statistics is carried out on a pore aspect ratio distribution function, sample mineral composition, elastic moduli of different minerals and three-order elastic constants. And then, through a Mori-Tanaka model in composite material mechanics, an analytic relationship between the rock elasticity modulus and the formation pressure is constructed. Afterwards, triaxial pressure elastic modulus measurement is carried out on an engineering field sample, comparison with a modulus predicted value of the constructed analytical model is carried out, an error source is analyzed, the model is improved, and the accurate analytical relation between the rock elastic modulus and the formation pressure, which is suitable for the rock in the work area, is obtained. And finally, acquiring stratum elasticity modulus information through a stratum velocity profile obtained by exploring seismic data, and inverting the stratum pressure based on the stratum elasticity modulus information and the analytical relationship between the rock elasticity modulus and the stratum pressure.

The invention discloses a low-carbon green environment-friendly calcium siliceous material for aerated concrete as well as a preparation method and application thereof, and belongs to the technical field of building materials. The calcium-silicon material disclosed by the invention comprises the following mineral components in percentage by weight: 44 to 57 percent of C2S, 5 to 9 percent of C4AF, 12 to 15 percent of f-CaO and 1 to 2 percent of f-CaSO4. The preparation method comprises the following steps: analyzing the chemical components of the raw materials of low-grade limestone, limestone mining waste soil and phosphogypsum; calculating a burdening scheme according to formulas (1)-(6), and then burdening; and calcining the raw material at low temperature, cooling and grinding. The invention also discloses the calcium-silicon material prepared by adopting the method and application of the calcium-silicon material. The low-grade limestone and the mine waste soil are used for preparing the cementing material, the phosphogypsum is used for providing a sulfate component, synergistic recycling of the three kinds of solid waste is achieved, and the raw material cost of a traditional calcium material is reduced. The calcium-silicon material disclosed by the invention is low in calcination temperature and low in carbon emission; when the calcium-silicon material is used for preparing aerated concrete, the thickening and hardening of slurry can be accelerated, and the standing time can be shortened.

The invention provides a coal gangue-based soil conditioner preparation method and system, and the method comprises the steps: collecting coal gangue soil sample data, extracting mineral composition characteristics, carrying out the classification processing of mineral types through employing a grouping algorithm, and obtaining a mineral diversity level index which reflects the richness and distribution balance of the mineral types; obtaining the active site distribution density value, inputting the active site distribution density value into an organic acid concentration adjustment calculation model, and investigating a chemical reaction mode between the organic acid and minerals through an interactive mode analysis method to obtain an optimized organic acid concentration adjustment scheme; and according to the finally determined evaluation index, verifying the validity of the pollutant fixation treatment formula data by adopting an adsorption performance verification method to obtain a verification result, and if the verification result meets a preset adsorption standard, outputting a preparation scheme of the coal gangue-based soil conditioner.

The invention discloses a rock slice image classification method based on domain self-adaption, and the method comprises the steps: collecting rock slice image data, the method comprises the following steps: acquiring a rock slice image, performing multi-scale data preprocessing and geological field data enhancement, extracting multi-level visual features of the rock slice image by utilizing a pre-trained DINOv3 model, performing field specialized adaptation on general visual features through a geological field adaptive Adapter module, and enhancing rock slice discriminative feature representation by adopting a double-path attention mechanism. Constructing a progressive hierarchical classification head to realize coarse-to-fine rock classification; and designing a multi-stage progressive training strategy to optimize the overall performance of the model. According to the method, mineral composition and structural features of the rock slices under different scales can be accurately captured, and multi-scale features and an attention mechanism are fully utilized, so that accurate classification of the rock slices is realized, and the accuracy and reliability of rock slice identification are remarkably improved.

This invention relates to the field of cement building materials technology, specifically disclosing a method for improving the strength of silicate clinker based on mineral and crystal composition analysis. The method involves collecting 3-day and 28-day compressive strength test data of silicate clinker and quantitatively analyzing the mineral and crystal composition data using XRD. A mineral composition and strength zoning statistical method is employed to obtain appropriate C3S or C2S content to maintain a relatively good overall level of 3-day and 28-day compressive strength of the clinker. Then, a stepwise multiple linear regression analysis is used to establish the relationship between the 3-day and 28-day compressive strength of the clinker, clinker liter weight, f-CaO, the content of other chemical components, and the mineral composition and crystal content of the clinker. Specific analytical methods are used to determine optimization measures, further optimizing and improving the clinker strength. Using the above method, the 3-day and 28-day compressive strength of silicate clinker can be improved simultaneously.

The application discloses a rock component modeling method based on image recognition and belongs to the technical field of numerical simulation tests, and comprises the following steps: S1, image gray processing and coordinate mapping; S2, gray statistics and threshold backstepping; S3, data import and model correspondence; and S4, mineral grouping and attribute assignment steps. The application can accurately acquire the mineral composition information of granite by fusing XRD test results and digital image processing technology, and can construct a modeling system in accordance with the actual rock microcrystal grain morphology and distribution characteristics in the discrete element software, so that the accuracy and the calculation efficiency of the numerical model can be effectively improved, and the visualization capability of the rock crack propagation process can be enhanced.

The invention provides a method for determining in-situ composition of geothermal water, and belongs to the technical field of geothermal energy development. Geothermal water, geothermal gas and spring bloom or scale samples are collected, chemical composition analysis of the geothermal water, component analysis of the geothermal gas (including absolute content of CO2 and H2S) and mineral composition analysis of the spring bloom or scale are carried out, and then according to the geochemical process of mother geothermal fluid rising from a deep reservoir to the earth surface, the geothermal gas is analyzed. And determining whether cold water mixing, gas escape and mineral precipitation occur in the geothermal water, finally correcting the influence of the generated geochemical action on the chemical components of the geothermal water, and calculating the chemical components of the in-situ geothermal fluid. According to the invention, the problem that the scaling property, corrosivity and thermal storage temperature evaluation of the thermal storage fluid are inaccurate due to the fact that the chemical composition of the mother geothermal fluid cannot be represented due to the geochemical effect of changing the composition of the existing surface thermal spring water or borehole geothermal well water in the upflow process can be solved.

The mineralogical, chemical, magnetic, and physical properties of a rock can be used to determine the amount of hydrogen that was generated during rock alteration and the remaining amount of hydrogen generation potential. The methodologies evaluate the hydrogen generation potential of geological samples and identify natural hydrogen source rocks. The mineralogy, elemental composition, iron content and oxidation state, and other properties of a geological sample may be determined. From the determined mineralogy and other properties of the geological sample, the amount of hydrogen which the geological sample may have generated may be quantified. This method can determine the maturity of hydrogen source rocks, the potential volume of hydrogen that can be generated in other parts of a given geologic province with higher degrees of hydrogen source rock maturity, and quantify the potential remaining volume of hydrogen that can be still be generated via secondary enhanced hydrogen stimulation processes.

The invention discloses a method for predicting compressive strength of ordinary Portland cement based on mineral composition, which comprises the following steps of: collecting a plurality of groups of cement samples, taking the mineral composition and the specific surface area as independent variables, and taking the 28d compressive strength data as dependent variables, wherein each group of cement samples comprises the mineral composition, the specific surface area and the 28d compressive strength data; a compressive strength prediction model based on a convolutional neural network is constructed, the compressive strength prediction model comprises an input layer, a convolutional layer, a batch normalization layer, a Dropout layer, a full connection layer and a regression layer, the compressive strength prediction model is trained by using a cement sample, mineral components and specific surface area data of to-be-detected cement are input into the compressive strength prediction model, and a 28d compressive strength prediction value is obtained. According to the method, the mechanical property of the cement can be quickly and accurately predicted on the premise of not depending on the traditional 28-day test period, so that the cement quality is pre-judged in advance, and the risk of insufficient concrete strength caused by the use of cement with substandard strength is reduced to the greatest extent.

The invention discloses a bayan obo ore iron ore concentrate quality improvement and impurity reduction process based on magnetic separation instead of flotation, and belongs to the technical field of mineral processing. The Bayan obo ore iron ore concentrate quality improvement and impurity reduction process based on magnetic separation instead of flotation comprises the following steps: carrying out chemical multi-element analysis, mineral composition analysis and size fraction analysis on raw ore; the raw ore is ground to-500 meshes, and the proportion reaches 95% or above; a washing machine is adopted for magnetic separation, a fixed magnetic field, a circulating magnetic field and a compensation magnetic field are set, and the rising water amount is 1100-1200 L / h; through magnetic separation, the grade of concentrate TFe is improved, and the content of F and P impurities is remarkably reduced. According to the Bayan Obo ore iron ore concentrate quality improvement and impurity reduction process based on magnetic separation instead of flotation, efficient quality improvement and impurity reduction of iron ore concentrate are achieved by optimizing the grinding granularity and the magnetic separation condition, the production cost is reduced, and environmental pollution is reduced.

A method is described for characterizing near-wellbore lithology, mineralogy, and heterogeneity, including receiving azimuthal gamma ray data from a horizontal well; calculating a difference between an up-sector gamma ray signal and a down-sector gamma ray signal and normalizing the difference by an average gamma ray value to generate a gamma ray difference value; using the gamma ray difference value to identify heterogeneous intervals along the horizontal well to generate a heterogeneity index; and using the heterogeneity index for at least one of geomechanical analysis of wellbore stability, drilling performance analysis, fracturing decisions, and production performance diagnosis. The method is executed by a computer system.

The invention provides a compact sandstone three-dimensional mineral characterization method based on a CT image and an EDS image, and the method comprises the following steps: (1) firstly scanning and recognizing a real compact sandstone sample by using a micron CT to obtain a corresponding CT image, then analyzing and scanning the compact sandstone sample by using an X-ray energy disperse spectroscopy to obtain a compact sandstone sample; obtaining the proportions of various minerals in the sample by using an XRD (X-Ray Diffraction) experiment; (2) registering the two-dimensional CT image slice and the EDS image; (3) simultaneously carrying out joint reconstruction on the CT image slices and the EDS images to obtain a series of reconstruction data, and combining the reconstruction data with the image scanning data to obtain a training database; and (4) performing optimization adjustment on the three-dimensional mineral model by adopting an optimization algorithm by taking the mineral composition measured by the XRD experiment as a constraint, so as to obtain a three-dimensional mineral structure closest to the real rock sample. According to the method, three-dimensional mineral distribution closest to real rock core mineral components can be obtained, and the characterization precision is improved while the efficiency is considered.

The invention relates to the technical field of reservoir dam leakage detection, in particular to a dam leakage quantitative identification method based on a multivariate hybrid model. According to the method, multivariate mixed model establishment analysis is carried out based on natural water chemical information, verification is further carried out in combination with isotope composition, in addition, the source position and the proportion of dam body leakage are qualitatively and quantitatively recognized in combination with mineralogical composition differences of permeable rock stratums, soil and filling materials at different positions, and the dam body leakage detection accuracy is improved. And the cause and the path of the leakage phenomenon can be more accurately and quantitatively identified.

This invention relates to the field of oil and gas field enhancement and stimulation technology, and discloses a method for screening coupling agents for acid fracturing in carbonate rocks based on interfacial film formation to regulate acid-rock reactions. The method first conducts basic physical property tests on different types of coupling agents to evaluate their wettability and spreading ability on carbonate rock surfaces; then, it characterizes the adsorption and film-forming behavior of the coupling agents on the rock surface; it evaluates the compatibility of the coupling agents with different fracturing fluid systems; it analyzes the influence of coupling agent concentration and stirring conditions on the acid-rock reaction rate through acid-rock reaction experiments, and establishes an evaluation index for acid-rock reaction rate control; finally, it conducts reservoir adaptability evaluation under different temperature, mineral composition, and porosity conditions, and comprehensively screens out target coupling agents suitable for acid fracturing operations in carbonate rocks. This invention establishes a systematic coupling agent screening process, which can effectively reduce the acid-rock reaction rate, increase the acid interaction distance, and thus improve the acid fracturing stimulation effect of carbonate reservoirs.

The invention belongs to the technical field of shale oil and gas development, and discloses a shale oil-gas-bearing potential multi-parameter collaborative evaluation method. The method integrates six experimental technologies of nitrogen adsorption, carbon dioxide adsorption, carbon and oxygen isotope, rock pyrolysis and XRD total rock / clay analysis, and comprises the core steps of obtaining multi-dimensional data such as a pore structure, mineral composition, organic matter characteristics, an isotope ratio and the like after standardized pretreatment of a shale sample, and performing parameter correction, weight distribution and collaborative modeling to obtain a shale sample. And quantifying the oil-gas potential index and grading. The method solves the problem that traditional single parameter evaluation is insufficient in accuracy, data are comprehensive and reliable, and key technical support is provided for shale oil and gas exploration and development and reservoir evaluation.

This invention describes a method of conducting formation evaluation and in particular inferring formation mineralogy when the formation is complex, and when the set of available downhole measurements is limited in information content or quality. One or more embodiments of the method can use a core mineralogy database to generate effective mineral assemblage that captures the natural systematic correlations between series of minerals.

The invention discloses a method for selectively grinding vanadium-titanium-iron ore concentrate to improve the iron grade, and belongs to the technical field of ore dressing. The method comprises the steps that vanadium-titanium-iron rough concentrate is graded through a screen with the mesh hole being 0.038 mm, after a product with the particle size being + 0.038 mm obtained through grading is stirred and ground, the product with the particle size being-0.038 mm obtained through grading is combined into a product with the particle size being optimized, the product with the particle size being optimized is sequentially subjected to demagnetizing treatment and magnetic separation upgrading, and upgraded iron concentrate is obtained; according to the method, the technological process of grading, ore grinding, demagnetizing and magnetic separation is adopted according to the mineral composition and dissemination characteristics of the vanadium-titanium-iron rough concentrate, the grade of the iron concentrate can be effectively improved, meanwhile, the content of impurity elements such as silicon, magnesium and aluminum is reduced, and technical support is provided for efficient recovery and low-cost smelting of the vanadium-titanium-iron magnetite.

An efficient beneficiation method for niobium ore, relating to the technical field of beneficiation. The method comprises: crushing raw niobium ore and performing low-intensity magnetic separation to remove highly magnetic iron ore, performing desliming treatment on low-intensity magnetic tailings, and then performing high-intensity magnetic separation to obtain high-intensity magnetic concentrate and high-intensity magnetic tailings; performing desiliconization reverse flotation on the high-intensity magnetic concentrate to obtain desiliconized tailings; performing dewatering, reagent removal, and desliming on the desiliconized tailings, and then performing niobium flotation I to obtain niobium concentrate I; performing niobium flotation II on the high-intensity magnetic tailings to obtain niobium concentrate II; and performing dewatering and reagent removal on the niobium concentrate II, and then performing upgrading flotation III to obtain niobium concentrate III. On the basis of the mineralogical characteristics of niobium ore, magnetic separation is first performed for classification, and different flotation methods are respectively applied to magnetic niobium‑containing minerals and non‑magnetic niobium‑containing minerals for enrichment of niobium minerals, which not only improves the overall recovery efficiency of niobium ore, but also increases the niobium concentrate grade and reduces reagent consumption.