500 results about "Mineral 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 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 discloses a method for analyzing mineral trace elements by utilizing a micro-Raman spectrum, which comprises the following steps of: fixing a mineral sample on a rotary sample table of a micro-Raman spectrometer, selecting an area to be detected by combining a micro-imaging technology, collecting a Raman background signal under the pre-illumination of low-power laser, and analyzing the trace elements in the area to be detected according to the Raman background signal. The laser focal length, the spot size and the incident angle are adjusted accordingly, the laser is focused on a target area, under the calibrated laser condition, through a multi-angle excitation micro-area, after an algorithm is applied to optimize signals, reduce impurity interference and integrate multi-angle Raman signals, the characteristic spectrum information of the microelements can be extracted, and the microelements can be accurately detected. High-resolution analysis of sample components is realized, and a three-dimensional distribution model of microelements in a microcell is constructed in combination with microscopic imaging data. The method has the characteristics of non-destructiveness, high resolution and rapid detection, and is suitable for mineral component analysis in the fields of geology, material science and the like.

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

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

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

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

The invention is applicable to the technical field of virtual simulation, and particularly relates to a Unity3D-based dressing plant digital twinning system construction management method, which comprises the following steps of: acquiring running state data, process flow data and mineral composition information of equipment in a dressing plant; constructing a three-dimensional model based on MAYA, and importing the model into Unity; equipment running state monitoring data are embedded into the three-dimensional model, and parameter information of equipment is fed back in real time; based on the real-time monitoring data and the production condition change, the operation parameters and the technological process of the preparation equipment are adjusted; performing equipment fault prediction through a simulation technology by using historical data and real-time data, and providing a maintenance strategy; mineral processing equipment operation and emergency treatment are simulated in a virtual environment, and a simulation environment is provided for employee training. Through the high-precision three-dimensional model, the production equipment and the technological process of the dressing plant are visually displayed, the equipment state information is fed back in real time, and the comprehensive control capability of managers on the production condition of the dressing plant is improved.

The invention provides a high-precision recovery method and system for judging the sedimentary environment of marine facies mixed-volume shale, which is characterized in that on the basis of microscopic slice fine identification, the types of minerals in a sample are preliminarily identified by XRD (X-Ray Diffraction), the mineral color change under a cathode luminescence test is combined, and the mineral composition is analyzed by XRD; three main end members of carbonate minerals, clay minerals and siliceous minerals are used for triangular projection so as to identify main lithofacies types of the mixed-volume shale and plane distribution characteristics of various lithofacies; through TOF-SIMS, micro-area mineral composition and micro-area element change identification in the mixed shale is carried out, and a biomarker compound in organic geochemistry is used for sedimentary environment identification, so that sedimentary environment change corresponding to complex lithofacies change of the mixed shale is identified, and the formation mechanism of the mixed shale is clarified.

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 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 discloses a method, a system, equipment and a medium for evaluating the reservoir capacity of a tight gas reservoir, and relates to the technical field of petroleum and natural gas engineering. Comprising the following steps: acquiring actually measured Young modulus of each mineral component in a standard rock sample of a tight gas reservoir to be measured, and calculating theoretical Young modulus of each mineral component in the standard rock sample through a Young modulus calculation formula; combining the theoretical Young modulus with the actually measured Young modulus to obtain the mineral dispersity of each mineral component, and calculating the skeleton brittleness of each mineral component; measuring the total porosity and the effective porosity of the standard rock sample, calculating the effective porosity percentage of the standard rock sample, calculating the pore throat complexity of each mineral component, and calculating the pore throat effectiveness of each mineral component; and calculating a reservoir factor, and comprehensively evaluating the reservoir capacity of the tight gas reservoir to be tested. According to the method, the reservoir capacity of the tight gas reservoir is reflected through the numerical value of the reservoir factor, so that the evaluation result of the reservoir capacity of the tight gas reservoir is more accurate.

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 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 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 relates to the technical field of oil and gas reservoirs, and discloses a carbon dioxide dynamic water-rock reaction measuring device and method.According to the method, five groups of rock samples from the same well and with the same well depth are adopted for a parallel control experiment, the five groups of rock samples correspond to five reaction times set by the experiment respectively, and after each reaction is finished, the reaction time is calculated; according to the method, the porosity, permeability, mineral components and clay mineral components of corresponding rock samples are measured, the fluid ion concentration after the reaction is measured and analyzed, the carbon dioxide burying amount is calculated, experiments of other groups are not interfered, the reaction continuity and the reaction system sealing performance can be guaranteed, and the stratum reaction environment can be simulated more truly.

The invention relates to the technical field of process minerals, in particular to a metal mineral X-ray plate image mineral composition segmentation method based on improved yov8n, which comprises the following steps: S1, shooting a metal mineral X-ray plate image through a polarizing microscope, and accurately marking by using Label software; and S2, a small target detection layer and an SCConv module are added on the YOLOv8n, and a ContextAggregation attention mechanism is introduced at the same time, so that the detection capability and feature extraction of a small target can be enhanced. S3, performing multiple rounds of training by using an improved YOLOv8n model, adjusting a learning rate and refining training parameters, calling and outputting a trained weight file, and completing segmentation of mineral components of the metal mineral X-ray plate image; and S4, through performance comparison with other models, evaluating the model by using an average precision mean value (Map at 0.5) and an actual segmentation effect picture. The problems of common misrecognition and low average precision (Map at 0.5) during fine-particle-size mineral processing by a traditional segmentation method are effectively solved, and the Map at 0.5 of an improved model is improved by 6.75%.

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 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 petroleum and natural gas development, and particularly provides a shale oil ultra-long horizontal well volume fracturing fracture pressure reduction method which comprises the following steps: taking rock samples underground at different positions of a horizontal section of an ultra-long horizontal well, and testing initial physical property parameters, mineral component contents and rock mechanical parameters of the rock samples; a rock sample and liquid CO2 soaking experiment is carried out under the reservoir temperature and pressure condition, rock mechanical parameters of the rock sample after the experiment are tested, rock damage factors are defined, the fracture reduction capacity is evaluated according to the rock damage factors, and a fracturing section is selected; and establishing a shale oil reservoir geologic model based on the reservoir physical property parameters of the selected fracturing section, performing CO2 injection productivity numerical simulation, and determining the optimal CO2 injection rate. The problems that an existing method for reducing the fracture pressure of the shale oil ultra-long horizontal well is small in application object range, large in construction risk, low in operation efficiency and high in cost are solved, the CO2 injection amount is optimized, the dual effects of reducing the fracture pressure and increasing the yield through CO2 are achieved, and the construction risk and the operation cost are reduced.

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 discloses a lithium mineral component detection method based on improved YOLOv8, and belongs to the technical field of computer vision and mineral detection.The method comprises the steps that dry powder samples of various lithium mineral components are collected, the collected dry powder samples are shot under an optical microscope, and then the shot images are segmented and marked to obtain lithium mineral components; constructing a sample data set covering various lithium mineral components; the method comprises the following steps of: improving a YOLOv8 network to obtain an improved YOLOv8 network; training the improved YOLOv8 network on the basis of the sample data set; and the trained and improved YOLOv8 network is utilized to realize lithium mineral component detection. By adopting the scheme, the lithium mineral component detection effect and efficiency can be improved, and technical support is provided for intelligent detection of lithium ores.

The invention relates to the technical field of concrete aggregate detection, and specifically provides a method and a device for rapid detection of equivalent mud content of concrete aggregate. The invention determines the spectral absorption rate of mud powder with specific mineral composition and chemical composition to methylene blue by a spectral absorption method, and uses the spectral absorption rate as a calibration value to determine the equivalent of mud powder in actual aggregate equivalent to standard mud powder. The spectral absorption detection method avoids the subjective error caused by naked eye observation, and the accurate value of the equivalent mud content detected can also be used as a basis for adjusting the mix ratio due to the use of aggregates with different mud contents to produce concrete. At the same time, spectral absorption, edge computing, the Internet of Things, artificial intelligence, concrete materials and other related technologies are applied, and optical detection and Internet of Things big data technology are integrated to realize rapid detection of equivalent mud content of concrete aggregate and predictive control and adjustment of the influence of harmful clay particle content in aggregate on concrete working performance.