326 results about "Mineral composition" patented technology

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 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 discloses shrinkage-free aluminoferrite cement-based ultra-high performance concrete and a preparation method thereof, and belongs to the technical field of novel wall materials, and the shrinkage-free aluminoferrite cement-based ultra-high performance concrete comprises the following components: an activated cementing material, mineralized aggregate, an additive, reinforced fibers and mixing water. Due to the slow release effect of the methyl cellulose coating on the composite expanding agent, precise compensation of self-constriction is achieved, and contraction deformation in the curing and using process is effectively inhibited. Due to the unique mineral composition of the aluminoferrite cement, the early strength of the concrete is sharply improved, and the production cycle of prefabricated parts is greatly shortened. The steel fibers subjected to sand blasting and pre-wrapping modification can effectively bridge microcracks in the concrete and limit crack propagation; the polycarboxylate superplasticizer disperses the modified carbon nanofibers, crack initiation is inhibited from the microscopic level, and mechanical properties such as fracture resistance and impact resistance of the joint part and the prefabricated part are remarkably improved through cooperation of the polycarboxylate superplasticizer and the modified carbon nanofibers.

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.

A rock breaking efficiency prediction method based on image recognition and machine learning comprises the following steps: acquiring a rock surface image, performing graying processing by applying an image processing technology, and then performing pixel classification and image segmentation so as to clearly divide different minerals into a plurality of independent structure diagrams; modeling a rock material according to mineral components, importing boundary information of the plurality of structure diagrams into a model, generating a plurality of large-particle filled rock blocks with the same size as the plurality of structure diagrams, and calibrating mesoscopic parameter values according to rock mechanical characteristics; establishing a hob rock breaking discrete element calculation model, and performing multiple intrusion rock breaking simulation tests on rock samples with different mineral contents; collecting simulation results to construct a rock breaking efficiency data set; a prediction model is established based on a PSO-BPNN algorithm, and a rock breaking efficiency prediction model is obtained after training; and carrying out real-time prediction on the rock breaking efficiency by utilizing the established model. According to the method, the influence of rock mineral components on the rock breaking effect of the hob is considered, and efficient and accurate prediction of the rock breaking efficiency of the hob is realized by utilizing a method of combining rock microscopic components and macroscopic rock breaking behaviors.

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 provides a mineralogical substance composition testing method and system based on multispectral data fusion. The method comprises the following steps: separating out a first characteristic interference signal caused by the oxidation state of an iron element and a second characteristic interference signal caused by the oxidation state of a manganese element by adopting wavelet transform in a superposition region of a Raman spectrum signal and a visible light absorption spectrum; performing spatial weighting on the intensity of the first feature interference signal and the intensity of the second feature interference signal to construct a multi-dimensional feature vector, inputting the multi-dimensional feature vector to a pre-trained residual neural network, and combining a radioactivity attenuation parameter measured by a gamma spectrometer to determine the radioactivity attenuation of the first feature interference signal and the second feature interference signal. And generating a mineralogical substance composition test result containing a mineral phase, an isomorphic substitution ratio, color cause analysis data and a radiation safety level. According to the method, the collaborative interpretation of the multispectral data and the radiation parameters can be realized, the mineral component analysis precision is improved, the color formation mechanism is synchronously analyzed, and the radioactive risk level is quantitatively evaluated.

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 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 relates to the technical field of mineral exploration, and discloses a method for determining a heat source center of a gold and copper ore area containing alunite minerals, which comprises the following steps of: determining a to-be-detected area of a target mining area, sampling surface rocks according to a preset grid or section, and acquiring a plurality of rock samples and corresponding original acquisition points; carrying out mineral component analysis on the plurality of rock samples, screening the alunite-containing samples to obtain a plurality of alunite-containing samples, and screening effective samples; performing elemental component analysis on the effective sample, and extracting elements and contents related to gold mineralization or copper mineralization in the effective sample; setting a potential heat source center, calculating the distance between each effective sample and the potential heat source center, introducing a distance attenuation index, establishing an objective function of the element content and the distance, and adopting a gradient descent method to perform inversion solution by minimizing the objective function to obtain coordinates of the potential heat source center, namely the determined heat source center of the gold ore or the copper ore; the method improves the accuracy of gold and copper ore area heat source center exploration.

The invention discloses high-fluidity under-sea non-dispersible high-performance solidified sludge soil and a preparation method thereof, and belongs to the technical field of ocean engineering seabed leveling, repairing and scour prevention. Setting of a curing agent, a coupling agent and a flocculating agent is determined according to different mineral compositions of the sludge. The chitosan quaternary ammonium salt can be used after being prepared into a solution by adding deionized water, and in order to ensure that the chitosan quaternary ammonium salt is fully dissolved, when the chitosan quaternary ammonium salt solution is prepared, the ratio of the chitosan quaternary ammonium salt to the deionized water is not greater than 1: 3. According to the solidified sludge soil and the preparation method thereof, the underwater non-dispersing performance of the solidified sludge soil in a marine environment is remarkably improved by setting the curing agent, the coupling agent and the flocculating agent according to mineral components of the sludge soil on an engineering site, and meanwhile, the flowing performance of the solidified sludge soil is reserved to meet construction requirements. Various mechanical properties of the solidified silt soil are effectively improved, and the solidified silt soil has good compression resistance and bonding performance and has guiding significance in the technical field of ocean engineering seabed leveling, repairing and scouring resistance.

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 tunnel engineering safety prevention and control, and provides a gypsum rock tunnel water disaster risk evaluation and prevention and control scheme selection method which comprises the following steps: step 1-3, based on parameters such as rock mass structural integrity, stratum karst development degree, water yield property, groundwater corrosivity, gypsum rock mineral composition, expansibility and corrosion property, establishing a grading evaluation system, dividing corresponding grades and determining influence indexes R1-R8; 4, adopting an AHP method, an entropy weight method and a CRITIC method to perform multi-dimensional weight calculation on the subjectivity, objectivity and conflict influence indexes, correcting abnormal weights in combination with expert experience and verification rules, generating a comprehensive score, dividing risk grades, and matching graded prevention and control measures; and 5, optimizing and adjusting prevention and control measures in real time through a parameter risk level dynamic judgment and construction method matching mechanism. According to the method, multi-source parameter dynamic empowerment can be fused, and a full-life-cycle prevention and control method with accuracy, timeliness and self-adaptability is provided for tunnel engineering.

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 provides a lake ecological restoration method based on storm disturbance, which comprises the following steps: simulating distribution characteristics of storm disturbance intensity in the whole region of a lake by using a three-dimensional hydrodynamic model, and designing an arrangement scheme of sheltering devices in each region of the lake based on suspended particulate matter characteristics in each region of the lake; wherein the suspended particulate matter characteristics comprise mineral components, particle size distribution, concentration distribution and resuspension flux of the suspended particulate matter; the sheltering devices are arranged at the corresponding positions of all areas of the lake through modular splicing structures. Monitoring the characteristics of suspended particulate matters inside and outside the sheltering device in each region of the lake in real time so as to evaluate the inhibition effect of the sheltering device in each region of the lake on the suspended particulate matters; and adjusting the arrangement scheme of the sheltering device in each region of the lake according to the evaluation result. According to the method, the influence of wind wave disturbance on the sheltering device is considered, the effectiveness of the sheltering device can be improved, and the stability of an ecological system is further improved.

The invention relates to chemical-corrosion-resistant full-polished glaze as well as a preparation method and application thereof, and belongs to the technical field of ceramic production and manufacturing. The chemical-corrosion-resistant fully-polished glaze comprises the following mineral components in percentage by mass: 5%-10% of quartz, 5%-10% of kaolin, 1%-10% of calcined talc, 20%-25% of wollastonite, 10%-20% of calcined kaolin, 1%-5% of calcined alumina, 1%-5% of calcined zinc oxide, 1%-5% of barium carbonate, 1%-3% of titanium oxide, 1%-5% of zirconium silicate and 10%-20% of boron frit. By specially designing a full-polishing glaze formula of the ceramic tile, adjusting the firing temperature and discharging or reducing defects such as air holes in a glaze layer as much as possible, the glaze layer forms a stable inert surface, and chemical substances cannot react with the glaze layer or only slightly react with the glaze layer, so that the transparency, integrity and glossiness of the surface are kept.

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.

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 simulation method and system for microwave-induced heterogeneous rock heating fracture, and relates to the technical field of rock crushing engineering.The simulation method comprises the steps that an image of the surface of heterogeneous rock is obtained, and contour images and distribution characteristics of various mineral components in the image are extracted; establishing a microwave heating model in finite element software, and establishing a GBM numerical model in discrete element software; inputting the mineral composition contour image into finite element software, obtaining a pixel value, assigning the pixel value, and carrying out microwave heating simulation; and performing temperature assignment on the temperature discretization conversion, the GBM numerical model and the thermodynamic constitutive model as final temperature distribution, and performing thermal-mechanical coupling calculation on the GBM numerical model to obtain final temperature field distribution and a fracture mode. According to the method, the limitation of generating a numerical model through a traditional random function is broken through, the numerical model based on real mineral distribution is constructed through the image recognition technology and refined numerical modeling of the mineral crystal model, the accuracy is higher, and the method is more persuasive.

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 relates to the technical field of oil and gas well wall stability and fracturing yield increase development, in particular to a deep high-temperature rock statistical damage constitutive model construction method which comprises the following steps: performing mineral component and microstructure analysis on a deep rock core by adopting XRD (X-Ray Diffraction) and SEM (Scanning Electron Microscope) technologies, and performing quantitative statistics on mineral content to obtain a deep high-temperature rock statistical damage constitutive model. The method comprises the following steps: acquiring rock brittleness and plasticity characteristic basic data, performing a triaxial compression test by adopting a high-temperature triaxial compressor, and establishing a constitutive model capable of reflecting deep high-temperature rock damage; according to the mechanical characteristics of the deteriorated rock due to temperature rise, the provided model is verified to accurately simulate stress-strain curves of a sample in each stage of a single axis and a conventional three axis under different temperatures and confining pressures, the rationality of indexes is verified, and the deep high-temperature rock statistical damage constitutive model is obtained. The method solves the problem that in the prior art, a statistical damage constitutive model capable of accurately reflecting stress-strain characteristics of the deep high-temperature rock at each stage of a single axis and a conventional three axis under different temperatures and confining pressures is lacked.

The invention discloses a threshold judgment method for eliminating loess collapsibility through microwave irradiation, relates to the technical field of data prediction and updating, and is used for solving the problem of insufficient collapsibility control effect evaluation means when the structural change is not obvious, and the method comprises the following steps: acquiring and preprocessing a collapsible loess sample to obtain initial physical information data of the collapsible loess sample; microwave irradiation experiment conditions are set, and the collapsibility coefficient change trend of loess under the conditions is calculated. And judging the change of the internal structure according to trend evaluation whether a temperature distribution analysis method is adopted, if the change is weak, further obtaining the microstructure characteristics of the sample and the change of mineral components, and comprehensively evaluating the collapsibility reduction degree. If the reduction degree is high, void ratio parameters are introduced to carry out quantitative analysis on the collapsibility change, and a scanning electron microscope or X-ray diffraction analysis is selected to verify whether the collapsibility change reaches an expected control target or not, so that the stability and safety of loess are ensured.

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 invention relates to the technical field of permeability calculation, and discloses a method for predicting the high-temperature permeability of coal underground gasification surrounding rock based on a thermal stress model, which comprises the following steps: collecting samples, and preprocessing the samples to determine mineral components of the samples; carrying out heat treatment on the sample at different temperature levels, and then carrying out experimental testing to obtain parameters of the sample; simulating, coupling and calculating the strain energy of the sample by adopting a finite element method, and calculating the fracture amount by combining the strain energy and the geometrical shape of the fracture at high temperature; and calculating and predicting the high-temperature permeability by using the geometrical shape and the fracture amount of the fracture at high temperature. According to the method, finite element thermal stress simulation and fracture mechanics theories are combined, the stress causing fracture is accurately calculated, the fracture amount is calculated in combination with observation of the geometrical shape of the fracture after high temperature action under a microscopic image, and the fracture seepage rate is calculated based on the fracture amount and discontinuity of sudden change of the high-temperature seepage rate of the geometrical shape of the fracture after high temperature action. And the high-temperature permeability is calculated and predicted, and the method has very strong prediction performance.

The invention provides an analysis method of an in-situ leaching process, and belongs to the technical field of process mineralogy. According to the method, multi-scale penetration power parameter determination (ore structure and ore structure) is carried out by combining mineralogy characteristic digital analysis (mineral leaching property and mineral granularity characteristics), and finally quantitative indexes of the in-situ leaching process are determined. According to the method, automatic mineralogy analysis and seepage mechanics depth are coupled, closed-loop prediction of'mineral composition-leaching kinetics-economic indexes' is quantitatively analyzed, and a new analysis method is provided for low-grade resource development. Compared with a traditional trial and error method, related data of other metallurgical processes does not need to be determined through complex tests, the theoretical recovery rate can be rapidly measured, the index prediction efficiency is improved, and a basis can be provided for subsequent production and design optimization.

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 discloses a design method of a high-performance grouting material accurately matched with a soft coal rock physical property structure, and relates to the technical field of geotechnical engineering grouting. According to the method, mineral components, permeability, fracture distribution, strength, wettability and hydrological characteristics of soft coal rock are analyzed through multi-dimensional tests such as X-ray diffraction and a scanning electron microscope, and a quantitative mapping relation between physical property parameters and grouting material performance is established; constructing a grouting reinforcement material database comprising a material sub-library, a performance sub-library and a case sub-library, and introducing a generative adversarial network to dynamically update the fracture model; an orthogonal test and a machine learning algorithm are adopted to carry out multi-objective ratio optimization, and precise matching of grouting material performance and engineering geological conditions is realized in combination with field adaptability index closed-loop verification. According to the method, the grout groutability and the surrounding rock deformation control effect can be remarkably improved, the technical problems that a traditional grouting material depends on experience, and a database is static and low in efficiency are solved, and an intelligent solution is provided for complex soft coal rock engineering reinforcement.

The invention relates to an identification method and system for a hydrothermal alteration zone in carbonate rock construction, and belongs to the field of remote sensing geological prospecting, and the identification method comprises the steps: obtaining and preprocessing a spaceflight hyperspectral remote sensing image of a to-be-identified region, and obtaining surface reflectance data; mineral component analysis is carried out based on the surface reflectance data, carbonate mineral dominant pixels are marked, and a binary mask array after assignment is generated; extracting hydrothermal alteration information and generating an information intensity array according to the assigned binary mask array; performing binarization processing on the information intensity array according to a preset threshold value to generate a binary logic array; and converting the binary logic array into a geographic space vector area file based on an original image geographic coordinate system, and taking the geographic space vector area file as a hydrothermal alteration zone identification result. According to the method, rapid and accurate identification of the hydrothermal alteration zone in the carbonate rock area can be facilitated.