135 results about "Mineralogical composition" patented technology

The invention relates to the technical field of model construction, and discloses a neural network-based frozen soil unfrozen water content detection model construction method and system. The method comprises the following steps: carrying out segmented sampling test on a clay sample in a temperature interval of 0 DEG C to-20 DEG C to obtain a multi-dimensional original data set, and carrying out standardization and principal component analysis on the data set to obtain a standardized feature vector; and performing three-stage classification marking on the feature vectors to obtain a training data matrix. A deep neural network is adopted to carry out five-fold cross validation training, and a prediction model of three hidden layers is constructed. And performing correction calculation on model output according to soil mineral composition and porosity parameters, and finally identifying an abnormal value through root-mean-square error analysis and a three-time standard deviation principle to obtain a standardized prediction result. According to the method, the mapping relation between the thermal parameters and the unfrozen water content is established, correction is carried out in combination with the soil body characteristic parameters, and the technical problem that the prediction precision of the unfrozen water content is not high in the prior art can be solved.

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 a prospecting method and a prospecting system for mainly extracting soil micro-fine particles in a shallow coverage area, and the prospecting method comprises the following steps: separating a micro-fine particle part from a soil sample by adopting a wet screening method according to a preset particle size range to obtain a target micro-fine particle sample; the method comprises the following steps: for a target micro-fine particle sample, acquiring chemical component data through an X-ray fluorescence spectrophotometer, and determining the content and distribution characteristics of main elements in the sample; analyzing the mineral composition of the target micro-fine particle sample by adopting an X-ray diffractometer, and identifying the types and relative contents of main minerals in the sample; determining the particle size distribution of the target micro-fine particle sample through a laser particle size analyzer to obtain the proportion information of particles with different particle sizes in the sample; according to the geophysical data, gravity, magnetic force and electrical parameters of the target area are extracted, and a geophysical feature model is established; and carrying out data fusion on the geochemical features and the geophysical feature model, and extracting key feature variables in multi-source information by adopting a principal component analysis method.

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 method for quantitatively evaluating the paleo-productivity of hydrocarbon source rock in a sedimentary period. The method comprises the following steps: acquiring a representative rock sample in a target hydrocarbon source rock stratum; carrying out total organic carbon content test, total rock mineral composition analysis and organic petrology analysis on the selected rock sample; determining the deposition rate of the rock sample in the deposition period; and establishing a quantitative evaluation model for the ancient productivity in the deposition period based on a carbon element substance conservation principle. The method for evaluating the ancient productivity is based on the principle of conservation of carbon elements, and the ancient productivity of hydrocarbon source rocks is quantitatively evaluated through the steps of organic matter thermal evolution hydrocarbon generation recovery, organic matter anaerobic oxidation consumption recovery, terrestrial source organic matter input and removal and the like. The method is widely applied to ancient productivity evaluation of hydrocarbon source rocks in marine facies and continental sedimentary environments in different regions, and provides technical support for formation mechanism research and distribution prediction of continental facies high-quality hydrocarbon source rocks in China.

The invention provides a manufacturing method of a rock-like material considering prefabricated fractures, and the method comprises the following steps: obtaining three-dimensional scanning data of a rock sample through a double-source double-energy CT scanning system, carrying out three-dimensional reconstruction and analysis on the three-dimensional scanning data, and extracting the particle size distribution range, volume fraction and fracture parameters of minerals in rock; according to the particle size distribution and proportion of minerals, mineral particles consistent with rock minerals in type are prepared through crushing and mixed in proportion, and the stacking porosity is calculated; adding epoxy phenolic resin according to the porosity to form a uniformly mixed material; a fracture structure model is generated through the 3D printing technology, and camphor is selected as a fracture model consumable; fully stirring the crack model and the mixed material, filling the mold in a layered manner, and compacting; heating in a muffle furnace to cure the epoxy phenolic resin, sublimating through camphor to form a crack structure, and cooling to obtain the rock-like material with similar mineral composition and crack characteristics. According to the method, the rock similar material containing the prefabricated cracks can be rapidly manufactured.

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 rock slice detail identification and slice text description generation method, and relates to the technical field of geological analysis. On the basis of constructing a picture and corresponding text description database under the rock polarizing microscope, matching the image under the rock polarizing microscope with a rock name, a mineral composition and a polarizing microscope type by utilizing a fine-tuned CNCLIP contrast learning network; and a text generation model is combined to directly generate slice description from the picture under the rock polarizing microscope. By adopting the method disclosed by the invention, the organization, classification and identification of the rock picture data under the polarizing microscope can be effectively realized, the rock slice image under the microscope can be directly read by the method constructed by the invention, and the content in the picture is matched with the rock name, the mineral and the polarizing microscope type; and on the basis, a text generation model is combined, and finally, the function of automatically carrying out text description on the image under the rock polarizing microscope is realized.

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 rapid detection method of limestone mineral powder, and belongs to the technical field of road engineering material detection. The rapid detection method comprises the following steps: respectively acquiring a diffraction spectrum and a fluorescence spectrum of a mineral powder sample by using XRD and XRF scanning equipment and an image processing technology; determining mineral composition according to characteristic peaks in an actually measured diffraction spectrogram of the mineral powder sample, and calculating relative mass percent as an index for identifying whether the mineral powder sample is limestone mineral powder or not; the method comprises the following steps: carrying out comparative analysis on a characteristic peak in an actually measured fluorescence spectrum of a mineral powder sample and a standard fluorescence spectrum, and taking the relative mass percent of calcium oxide (CaO), magnesium oxide (MgO) and silicon dioxide (SiO2) in the mineral powder sample as an index for judging the quality of the mineral powder sample. According to the method, the property and the quality of the asphalt mixture mineral powder can be quickly and accurately judged, the operation is simple, effective supervision on the lithology of the rock processed by the limestone mineral powder is effectively realized, and a solid foundation can be laid for subsequently providing a limestone mineral powder quality grading method.

The invention discloses an efficient beneficiation method for niobium ore, and belongs to the technical field of beneficiation. The method comprises the steps that raw niobium ore is crushed and then subjected to weak magnetic treatment to remove strong magnetic iron ore, weak magnetic tailings are subjected to desliming treatment and then subjected to strong magnetic treatment, and strong magnetic concentrate and strong magnetic tailings are obtained; the strong magnetic concentrate is subjected to desilicication reverse flotation, and desilicication tailings are obtained; the desilicication tailings are subjected to dehydration, reagent removal and desliming and then subjected to niobium flotation I, and niobium concentrate I is obtained; the strong magnetic tailings are subjected to niobium flotation II, and niobium concentrate II is obtained; and after the niobium concentrate II is subjected to dehydration and reagent removal treatment, upgrading flotation III is carried out, and niobium concentrate III is obtained. According to the method, according to the mineral composition characteristics of the niobium ore, magnetic separation is firstly carried out, and different flotation methods are respectively adopted for magnetic niobium-containing minerals and non-magnetic niobium-containing minerals for enrichment of the niobium ore, so that not only is the total recovery efficiency of the niobium ore improved, but also the niobium concentrate grade is improved, and the reagent consumption is reduced.

The invention discloses a shale anisotropic rock physical modeling method, electronic equipment and a medium. The method comprises the following steps: calculating an elastic anisotropy matrix Ccl0 of illite and montmorillonite mineral particles, namely an elastic modulus Ccl of VTI anisotropy of a clay mixture; the elastic modulus Cncl of the non-clay minerals is calculated; calculating the VTI anisotropy C1 of the solid matrix composed of the clay mineral and the non-clay mineral; calculating an elastic matrix Ck of the porous kerogen by using a Krief formula; based on the elastic matrixes C1 and Ck, calculating an elastic matrix C2 of a VTI matrix 2 by using an anisotropic equivalent constant theory; and based on the elastic matrix C2 and the inorganic aperture system stiffness matrix Cf, calculating a marine permian system shale elastic matrix Csat. The method provides a research basis for reservoir key physical property and anisotropy parameter analysis and reservoir mechanical property and oiliness evaluation.

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 present invention is applicable to the technical field of bank slope protection, and in particular to a molecular simulation research method for cracking behavior of mudstone in the drawdown zone of a strongly weathered reservoir bank slope, the method comprising: determining the mineral composition of purple-red strongly weathered mudstone in the drawdown zone to obtain the determination result; establishing a microscopic model of mudstone cracks; simulating the adsorption of water molecules on the surface of montmorillonite crystal layers in the microscopic model of mudstone cracks; performing molecular dynamics simulation on the mudstone crack model of adsorbed water molecules; drawing images of the microstructure of mudstone cracks under different water concentrations and outputting them. The present invention obtains the coordinates and velocities of all atoms in the system at any time through Newton's laws of motion, and then uses statistical mechanics methods to calculate the relevant physical quantities and thermodynamic properties of the system, etc., which can clearly reveal the mechanism of generation and expansion of cracks in strongly weathered mudstone, quantitatively describe the interaction between clay minerals and feldspar and quartz in mudstone, and provide a theoretical reference for the modification of strongly weathered mudstone in the drawdown zone and the protection of the bank slope drawdown zone.

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.

A method for constructing a prediction model of the freezing characteristic curve of soil belongs to the technical field of geotechnical engineering. It can quickly obtain the unfrozen water content in different continuous physical states by using several groups of test results. Based on multiple initial water contents, indoor tests and the deduction of their mutual relationships are carried out, and a prediction model based on the unfrozen water of cohesive soil is proposed. Only two conventional physical parameters, namely the initial water content and temperature, are required to calculate the unfrozen water content under any freezing temperature condition in the conventional freezing state, which has the advantages of high efficiency and convenience. There is no need to analyze factors such as particle size content and mineral composition of the soil, so there is no need for complex and expensive experimental equipment or instruments, and the measurement cost is low. Thus, the control differential equation of soil freezing can be unified into one equation in the frozen zone and the unfrozen zone.

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.