67 results about "Microscopic scale" patented technology

The invention belongs to the technical field of environmental monitoring, and particularly relates to a super-resolution fluorescence imaging analysis method based on hypersensitive fluorescent quantum dots. The quantum dots have high water solubility and stability, and can emit narrow-bandwidth fluorescence due to unique optical properties of the quantum dots. According to the invention, a quantum dot luminescent material is adopted to construct an ultra-high resolution microscope system which can be used for observing composite behaviors between micropollutants and quantum dots on a microscopic scale, and a three-dimensional fluorescence microspectrometer and a computer vision algorithm are integrated; the whole reaction process is deduced according to the evolution of the three-dimensional fluorescence spectrum between the micro-pollutants and the quantum dots in different space (concentration), time (reaction process) and chemical dimensions, and a multi-dimensional fingerprint spectrum is formed according to the whole reaction process and is used for identifying and tracing the micro-pollutants. The method has the advantages of being high in detection speed, high in fingerprint performance and less in interference of background factors.

The invention discloses a multi-scale strain measurement method for a metal material at an ultralow temperature, and the method combines a DIC technology and HR-EBSD analysis, and achieves the precise strain measurement from a macro scale to a micro scale. Macroscopic strain distribution on the surface of a sample is accurately captured through a DIC technology, and HR-EBSD analysis is utilized to further go deep into a microscopic level, so that a microscopic deformation mechanism of a material in an ultralow-temperature environment is disclosed. The overall strain of the material is researched from the macroscopic perspective, the specific region of interest in the macroscopic strain state is further deepened, the microscopic strain distribution of the region of interest is explored, and the deformation behavior and the mechanical property of the material at the ultralow temperature can be more comprehensively understood. Besides, a non-direct contact type heat exchange mode is adopted, so that accurate temperature control is realized, and meanwhile, the influence of water mist or condensation and the like generated by evaporation and condensation of a cooling medium on a test result is avoided.

The invention discloses an NPC three-level inverter fault detection system based on image processing, and relates to the technical field of inverter fault detection, and the system comprises the following components: an image collection module which employs an industrial camera and an adjustable support to collect an NPC three-level inverter image, performing real-time evaluation on the acquired image by using an image comprehensive quality index formula, and adjusting camera parameters according to an evaluation result to obtain an image meeting subsequent processing requirements; according to the method, the image of the NPC three-level inverter is deeply analyzed from a macroscopic level and a microcosmic level by applying a multi-scale image processing technology, on the macroscopic scale, the system can quickly identify the overall fault trend and the general area of the inverter and provide a preliminary judgment basis for maintenance personnel, and on the microcosmic scale, the system can quickly identify the fault trend and the general area of the inverter and provide a preliminary judgment basis for maintenance personnel. And the system can accurately identify the positions and states of different elements, and even can capture tiny deformation or damage signs of the elements, so that maintenance personnel can quickly and accurately find fault points.

The invention belongs to the technical field of geological research, and discloses a multi-scale lithofacies identification and sedimentary microfacies reconstruction method and system, and the method comprises the steps: data collection and preprocessing: collecting core data, slice data, logging data and seismic data of a research region; multi-scale lithofacies feature extraction, wherein the multi-scale lithofacies feature extraction comprises micro-scale feature extraction, medium-scale feature extraction and macro-scale feature extraction; constructing and training a multi-scale lithofacies recognition model, constructing the multi-scale lithofacies recognition model by adopting a deep learning algorithm, and taking the extracted microscopic, mesoscopic and macroscopic lithofacies features as input data; multi-scale lithofacies identification: extracting multi-scale lithofacies features from the preprocessed multi-source data; and sedimentary microfacies reconstruction: establishing a lithofacies-sedimentary microfacies conversion relation in combination with a sedimentology principle and a geological knowledge base. According to the method, multi-source data such as rock cores, slices, logging and earthquakes are integrated, lithofacies features are extracted from microcosmic, mesoscopic and macroscopic multiple scales, the features and changes of lithofacies can be comprehensively and accurately reflected, and compared with a traditional single-scale method, the accuracy and reliability of lithofacies recognition are improved.

The invention belongs to the field of geochemistry and tectonic geology research, and discloses a stress gradient analysis method based on directional change of saline inclusion in FIP. According to the method, the size, shape and distribution characteristics of the saline inclusion in the FIP in different directions are acquired and quantitatively analyzed through the system, and a stress gradient evolution model is constructed, so that the spatial change of a local tectonic stress field is revealed. Compared with a traditional stress analysis method mainly based on a macrostructure, the stress analysis method focuses on stress response behaviors under a microscopic scale, combines various precise test means such as microscopic observation, pressure measurement and cathode luminescence, and realizes a technical path of directly inverting the tectonic stress gradient from the microstructure. The method can be widely applied to geological research of structural environments such as fault zones and shear zones, provides a new technical means for crust stress field analysis, and has important research value and wide application prospects.

The invention provides a metal powder bed additive manufacturing macrostructure residual deformation control method and system, and the method comprises the steps: 1, obtaining material equivalent inherent strain under different forming process parameters through a metal powder bed melting forming microscale numerical model, establishing a mapping relation between the forming process parameters and the equivalent inherent strain of the material through an approximate model technology; 2, the structure is partitioned, a numerical model is manufactured through a macro-scale metal powder bed additive, macro-structure residual deformation corresponding to regional inherent strain is obtained, an approximate model of partitioned material inherent strain and the maximum residual deformation of the structure is constructed, and the maximum residual deformation of the structure is obtained by combining the mapping relation between forming process parameters and the material inherent strain; the integral structure residual deformation prediction under the multi-partition process parameters is realized; and step 3, carrying out a forming process optimization design of residual deformation minimization to realize the residual deformation control of the macrostructure.

The invention relates to the field of atmospheric pollution diffusion simulation, and particularly discloses a multi-scale coupled atmospheric pollution diffusion simulation system, which comprises a data source module used for collecting and integrating various data sources including meteorological data, topographic data, pollution source data and atmospheric pollutant concentration data, and providing basic information for simulation; the multi-scale modeling module further comprises a micro-scale model for simulating a detailed diffusion process of pollutants in a local area by calculating a fluid dynamics equation based on a fluid dynamics principle; by integrating various data sources such as meteorological data, topographic data, pollution source data and atmospheric pollutant concentration data, the system can provide more comprehensive and accurate basic information, so that the simulation precision is improved; the combination of microscopic, mesoscopic and macroscopic scale models can respectively capture pollutant diffusion characteristics under different scales, so that the simulation result is more detailed and real.

The invention belongs to the field of rock mechanics, and particularly discloses a shale multi-scale mechanical property characterization method which comprises the following steps: acquiring mechanical parameters of shale under a macroscale through a triaxial compression experiment; obtaining mechanical parameters of the shale in a mesoscale through a micron indentation experiment; generating a shale surface modulus distribution diagram through a modulus imaging experiment, and combining with an SEM-EDS experiment to determine the composition and elastic modulus of microscopic minerals of the shale; a Mori-Tanaka method is used for carrying out scale upgrading on the micromechanical properties of the shale, the equivalent mechanical parameters of the shale under the macroscopic scale are obtained by integrating the volume fractions, the elastic parameters and the porosity of all phases of microminerals in the shale, and the micromechanical properties and macroscopic response of the microminerals are effectively bridged. According to the method, the anisotropy of the shale in the dimension is disclosed from multiple scales, and the mechanical behaviors and the internal relation of the shale in the macroscopic scale and the microscopic scale are comprehensively disclosed.

The invention discloses an oil-water two-phase seepage model construction method and system based on a critical path and a medium. Relates to the technical field of oil-gas field development. According to the scheme, a traditional black oil model simulation technology and a critical radius technology based on a critical path seepage theory are combined, and on the basis of ensuring the scale of an oil reservoir model, the oil-water two-phase seepage characteristic oil reservoir simulation method considering the micro-scale critical path is provided; microscopic characteristics such as a pore throat structure in a real reservoir rock are restored to the greatest extent by using the critical radius, and phenomena such as a dominant channel (critical path) of seepage of oil-water two-phase fluid in a pore throat and factors influencing displacement efficiency are researched from a microscopic perspective, so that a higher-precision oil reservoir simulation analysis result is obtained; according to the scheme, the flow and pressure of each component of oil and water are calculated directly based on the critical radius and the critical path length, a static oil-water relative permeability curve does not need to be input in the simulation process, and the stress state and the change process of each part of the oil reservoir can be reflected more directly.

The invention discloses an abrasive water jet rock breaking simulation method based on a DEM-CFD coupling method. Establishing an EBPM bonded rock mass discrete element model through a discrete element DEM, and calibrating mesoscopic parameters through a virtual mechanical test; simulating a water-abrasive two-phase flow through fluid dynamics CFD, and adopting a Gidaspow drag force model; the DEM-CFD bidirectional interface realizes real-time coupling; carrying out post-treatment to extract an erosion morphology and a crack network; the method can effectively simulate the rock mass fracture process and the large deformation behavior in the water jet rock breaking process and reveal rock mass damage evolution from the microscopic scale, and can be widely applied to research of water jet assisted rock breaking in the fields of civil engineering, mining, petroleum energy, marine resources and the like.

The invention provides a geological unit attribute characterization method and system based on multi-scale cascade fusion, and belongs to the technical field of geotechnical engineering. The method comprises the steps that seismic wave data and sound wave data of a target area are acquired and preprocessed; performing parameter consistency conversion on the seismic wave data and the sound wave data by using the scale conversion coefficient; dividing the target area into grids of different scales based on the geological attribute change rate; on the basis of the divided grids, the converted seismic wave data and the converted sound wave data are input into a cascade fusion model, the converted seismic wave data serve as the basis of a macroscopic model, the sound wave data serve as local fine constraints, and attribute fusion of the seismic wave data and the sound wave data is achieved through a multi-scale coupling algorithm; and carrying out attribute prediction by using an attribute prediction algorithm to obtain a geological unit attribute representation graph. The synergistic effect of macroscopic and microscopic scales is effectively realized, and the problems of insufficient seismic wave and drilling sound wave data fusion and insufficient precision in the prior art are solved.

A method of imaging vascular activity at microscopic scale in at least one region of a network of blood vessels of a human or animal organ, the method comprising: (a) emitting a series of consecutive incident ultrasound waves in the at least one region by an ultrasound transducer array extending in at least one direction, the incident ultrasonic waves are propagated in the direction perpendicular to the transducer array; (b) acquiring a set of raw data from the backscattered ultrasound by the transducer array; (c) generating a series of continuous ultrasound images according to the original data; (d) detecting at least one isolated ultrasound contrast agent in the ultrasound image; (e) locating the position of the at least one isolated ultrasound contrast agent at a precision lower than the wavelength of the wave; (f) generating an at least two-dimensional backscatter amplitude image by assigning, to each pixel, a value representative of the measured backscatter amplitude of the at least one isolated ultrasound contrast agent detected in that pixel.

The present disclosure proposes a method and apparatus for imaging at a microscopic scale a region of an organ of a human or animal, allowing the use of a 2D subsampled ultrasound probe while providing 3D ULM images with high resolution usually obtained only with a full 2D array matrix, by sorting the detected microbubbles and keeping only the microbubbles corresponding to the spots belonging to the main lobe of the Point Spread Function (PSF) of the microbubble and removing the phantom microbubbles corresponding to the spots belonging to the side lobes. It is also possible to provide a 3D non-invasive imaging of the microvascular flow of the region of an organ, such as a brain in-vivo, with high resolution and high sensitivity.

The present invention discloses a method for simulating restricted migration to calculate the flow tortuosity in a porous medium, including simplifying and correcting a sample digital core based on the watershed algorithm; including the collision probability of microscopic-scale continuous-phase particles characterized by the gray value of the digital core in different regions and different migration directions; including the migration direction of the continuous-phase operator and the digital core mirror extension mapping method for different digital core resolutions; quantifying the tortuosity in different states by simulating the stable diffusion coefficient under infinite mirror mapping and combining the operator migration mode in the real situation in the above text. Based on the digital core, the tortuosity data obtained by the method of simulating random migration in the porous medium in the present invention, compared with the existing methods of ideal mathematical models such as koponen, sousa, and barrande, introduces the complex pore structure and force influence in migration. The tortuosity obtained by the new method is simulated and calculated, and the coincidence rate of the result is increased by 11% compared with the tortuosity of the traditional method.

The invention discloses a geomagnetic disturbance geoelectric field calculation method based on a block geoelectric structure, relates to the technical field of geomagnetic disturbance geoelectric field calculation, and solves the technical problem of low GIC calculation accuracy in complex geology. According to the method, in a macroscopic scale, a one-dimensional conductivity model is inverted by using long-period magnetotelluric sounding, and a regional structure framework is delimited by combining a geological map, so that the accuracy of a global electrical background is ensured; a three-dimensional electrical structure is constructed through audio magnetotelluric sounding in the mesoscale, a secondary geological unit is recognized, and the problem that a traditional model is insufficient in depicting transverse electrical differences is solved; in the microscopic scale, for a key area, high-density resistivity imaging and a controllable source audio magnetotelluric method are used for capturing a high-conductivity / low-resistance anomalous body, and fine modeling of a local area is achieved; according to the method, the geological complexity is mined through the multi-scale model, so that the calculation precision of the GIC is improved.

The invention relates to a cross-wavelength response integrated biosensor which comprises a plurality of periodic units, and each periodic unit comprises a substrate layer, a dielectric layer and a metal layer which are sequentially arranged from top to bottom; the metal layer comprises a plurality of metal structure units, each metal structure unit comprises a metal wire and two discrete metal split rings, and the metal wire and the metal split rings are formed by nano particle arrays. According to the invention, a plurality of independent sensors are not needed, and high-sensitivity sensing response of the THz wave band and the optical wave band can be realized only by a single integrated structure; in a single sensor, high-sensitivity detection of biomolecules from small to sub-nanometer scale and from large to micron scale can be realized at the same time; on the microscopic scale, the THz resonance sensitivity of the sensor can reach 63.9 GHz / RIU; on the nanoscale, when the incident wavelength is 785 nm, the SERS enhancement factor of the sensor is 8.8 * 10 < 4 >; the response performance of the biosensor can be realized by optimizing the structural parameters, geometrical shapes, unit arrangement and the like of the metal layer.

To provide a material that can reliably provide highly accurate and precise features on a microscopic scale. [Solution] A method for densifying an expanded polyethylene (ePE) substrate, the method comprising the steps of: providing an ePE substrate having a first density and a first size; selectively densifying a portion of the ePE substrate to form a densified portion of the ePE substrate, wherein the densified portion of the ePE substrate has a second density greater than the first density, and the densified portion of the ePE is a densified pattern; and shrinking the ePE substrate to a second size, thereby reducing the densified pattern to a fine densified pattern, wherein the second size is smaller than the first size, and the fine densified pattern is smaller than the densified pattern.

The present invention relates to the field of engineering rock mass technology, and specifically discloses a time-effective coordinated control method based on the selection of differential targets before and after the peak of tunnel surrounding rock. Based on ground stress conditions and coal rock mechanical parameters, combined with the FDEM method, the process of incubation-initiation-extension of elastic deformation before the peak of surrounding rock and tension-shear fracture after the peak after tunnel excavation is simulated, the development characteristics of the tension-shear fracture network of surrounding rock are predicted in advance, and the tension and shear control targets within the plastic zone of surrounding rock are determined; through the two-stage control method of "pre-peak prediction" targeted strengthening and "post-peak prediction + observation" targeted control, the time-effective coordinated control of differential targets before and after the peak of surrounding rock is realized. The method uses FDEM and borehole imaging, based on the evolution characteristics of the tunnel tension-shear fracture network, to identify and distinguish tension control targets, shear control targets and grouting targets in the tension-shear fracture network of surrounding rock on a microscopic scale, specifically adjust the anchor (cable) structure and grouting parameters, and realize the targeted time-effective strengthening control of surrounding rock throughout the life cycle of the tunnel.

The present application discloses a multi-scale strain measurement method for metallic materials at ultra-low temperatures. This method combines DIC technology and HR-EBSD analysis to achieve precise strain measurement from the macroscopic to the microscopic scale. The macroscopic strain distribution on the specimen surface is accurately captured by DIC technology, and HR-EBSD analysis is used to further delve into the microscopic level to reveal the microscopic deformation mechanism of the material in an ultra-low temperature environment. It not only studies the overall strain of the material from a macroscopic perspective but also further delves into specific regions of interest under this macroscopic strain state to explore the microscopic strain distribution in the regions of interest, enabling a more comprehensive understanding of the deformation behavior and mechanical properties of the material at ultra-low temperatures. Additionally, a non-direct contact heat exchange method is adopted to achieve precise temperature control while avoiding the influence of water mist, condensation, etc. generated by the evaporation and condensation of the cooling medium on the test results.

The invention provides a shale oil light and heavy component and ratio spatial distribution visualization method and system based on a CLSM laser spectrum, and belongs to the technical field of crude oil component analysis. The problem of how to visualize spatial distribution and proportion analysis of light and heavy components of crude oil is solved. The method comprises the following steps: exciting a crude oil sample by using 488nm laser, and collecting fluorescence signals in wave bands of 490nm-510nm and 680nm-710nm to respectively represent light and heavy components; and extracting the fluorescence intensity of each pixel point, calculating the fluorescence intensity of light and heavy components, associating R with the crude oil density through a regression model, and setting thresholds R1 and R2 to classify the components, thereby realizing the spatial distribution visualization of the crude oil components on the microscopic scale. The method is accurate in quantification and visual in result, solves the problems of low spatial resolution and difficulty in component distinguishing in the prior art, and is suitable for oil reservoir evaluation and development optimization.

The present application relates to a method for evaluating fatigue strength of a multi-component alloy based on slip localization, comprising: obtaining material parameters of a multi-component alloy used for fatigue testing, and establishing a micro-scale model on a computer based on the material parameters; simulating fatigue loading of the micro-scale model by molecular dynamics simulation; after the simulated fatigue loading enters a steady-state stage, dividing the micro-scale model into a plurality of sub-units of the same size, and calculating the slip irreversibility of each sub-unit based on the shear strain of each atom in each sub-unit, and then calculating the difference in slip irreversibility between each sub-unit; calculating a non-uniform parameter based on the slip irreversibility of each sub-unit and the difference in slip irreversibility; normalizing and de-gridding the non-uniform parameter to obtain a slip localization index; and constructing a fatigue strength evaluation model based on the material parameters and the slip localization index.

The invention discloses a carbonate rock cross-scale mechanical property characterization method. The carbonate rock cross-scale mechanical property characterization method comprises the following steps: S1, basic physical property characterization; s2, processing a carbonate rock micromechanics experiment sample; s3, scanning electron microscope observation and microcosmic mineral identification; s4, correcting the area function of the needle tip of the pressing needle; s5, testing the micromechanical property of the carbonate rock mineral; s6, carrying out data arrangement on the micro-mechanical properties and the composition proportion; and S7, constructing a mechanical upscaling model and calculating macromechanical properties. According to the method, main mineral types in carbonate rocks are identified by utilizing a scanning electron microscope and energy spectrum analysis on a microscopic scale, and then the mechanical properties of different minerals are quantitatively represented by utilizing quasi-static nanoindentations. On the basis, mineral composition proportion information and porosity data are synthesized, an upscaling model of the mechanical property is constructed, and cross-scale prediction and evaluation of the macroscopic mechanical property of the carbonate rock are achieved.

The invention relates to a multi-scale finite element method and system based on sub-model nesting and a medium, and the method comprises the steps: building a preset macro-scale finite element simulation model of a material or a structural member, determining a pre-extraction first-stage sub-model region of a region of interest, extracting a first-stage sub-model, and obtaining a second-stage sub-model region of the region of interest; determining a pre-extracted second-level sub-model region of the concerned region by using the recorded displacement boundary condition of the first-level sub-model, and carrying out finite element simulation of the second-level sub-model; verifying whether the second-stage sub-model meets the simulation of a micro scale; if yes, based on a Voronoi method, a scanning electron microscope or an electron back scattering diffraction method, a crystal plasticity finite element simulation model is established by utilizing the boundary displacement condition of the level sub-model. According to the invention, simulation of stress, deformation or damage evolution of a material microstructure under a complex load is realized.

The invention provides a rock reservoir intelligent three-dimensional modeling method and device based on well drilling and rock core data, and the method comprises the steps: segmenting a rock reservoir feature image and a microstructure feature image based on a color gradation difference value, and obtaining a structural feature under an engineering scale and a microstructure feature under a microscopic scale; constructing a sum training diffusion generation model based on the structural features under the engineering scale and the microstructure features under the microscopic scale, and generating a preparation model of the target area through the trained diffusion generation model; and under the condition that the matching rate of the reservoir parameter characteristics of the preparatory model and the reservoir parameter characteristics of the target area is greater than a preset matching rate threshold value, obtaining a rock reservoir three-dimensional model of the engineering scale of the target area based on the preparatory model. According to the method, scale limitation is broken, artificial reservoir model feature selection is reduced, and intelligent construction of the deep rock reservoir is realized.

The invention provides a multi-scale residual feedback seismic inversion method and device for CO2 storage layer identification and electronic equipment. The method comprises the following steps of: decomposing original seismic data and logging data into three levels of data volumes of a macroscale, a mesoscale and a microscale respectively by utilizing wavelet transform; on the macroscopic scale, utilizing the post-stack seismic data to invert the stratum velocity and the tectonic framework; on the mesoscale, the reservoir porosity is inversed by using the pre-stack sub-angle seismic data; on the microscopic scale, the trend and density of the crack are inversed by using azimuth angle seismic data; and taking the residual error of the synthetic data obtained by the next scale inversion and the measured data as a correction term to be fed back to the inversion process of the previous scale so as to restrain and correct the inversion parameters of the previous scale. Earthquake and geological problems are decomposed to different scales such as structures, reservoirs and cracks, and the longitudinal resolution and geological conformity of inversion results are greatly improved.

The invention provides a construction method and device of a phase change energy storage multi-phase-field multi-scale calculation model and a storage medium, and belongs to the technical field of phase change energy storage. The method comprises the following steps: dividing the phase change energy storage system into a micro scale, a mesoscale and a macro scale, and dividing different computational domains based on different scales; constructing physical models of each computational domain, wherein the physical models comprise a micro-scale physical model, a mesoscale physical model and a macro-scale macro continuous model; the physical models of all the computational domains are subjected to parallel calculation, the physical models of all the computational domains are coupled in the parallel calculation process, and real-time transmission of information of all the computational domains is achieved; aiming at the defects of the existing research, a microscopic molecular dynamics algorithm, a mesoscopic lattice Boltzmann algorithm and a macroscopic finite element model are mutually coupled in parallel, and the cross-scale multi-phase field coupling research from a microscopic phenomenon to a macroscopic phenomenon in an energy storage system is realized.

The invention discloses a material failure process virtual space modeling and simulation method and system for a digital test, and the method comprises the steps: collecting the spatial geometric morphology, surface texture features, internal organization structure and service environment parameters of a structural material, and generating multi-source basic data; constructing a three-dimensional digital model based on the multi-source basic data; carrying out multi-physics field coupling modeling and failure mechanism simulation on the three-dimensional digital model under macroscopic, mesoscopic and microscopic scales, and determining a performance evolution process; and loading the three-dimensional digital model through a graphical user interface, controlling a simulation process and outputting a visual result. According to the method, a complete virtual modeling chain of the material failure process is formed from geometric reconstruction to multi-scale modeling and from simulation solution to result visualization; the system supports coupling modeling and data mapping under the microcosmic-mesoscopic-macroscopic scale, and the failure mechanism research depth is improved.

Technique capable of suitably estimating macroscopic characteristics or microscopic characteristics of target structure SOLUTION: An information processing apparatus (1) includes an acquisition unit (11) that acquires one or a plurality of macroscopic feature amounts characterizing a phenomenon of a subject structural body on a macroscopic scale and one or a plurality of microscopic feature amounts characterizing at least one of a structure and a behavior of a component of the subject structural body on a microscopic scale of the subject structural body, and a generation unit (12) that generates a model defining a correspondence relationship between the phenomenon of the subject structural body on the macroscopic scale and at least one of the structure and the behavior of the component of the subject structural body on the microscopic scale of the subject structural body and including one or a plurality of stages of scaling processing with reference to the one or the plurality of macroscopic feature amounts and the one or the plurality of microscopic feature amounts acquired by the acquisition unit.SELECTED DRAWING: Figure 1

The invention discloses a shale reservoir supercritical carbon dioxide fracturing numerical simulation method and system, and belongs to the technical field of unconventional oil and gas exploitation. Mineral phase real microscopic distribution characteristics and multiple groups of microscopic rock mechanical parameters of a sample are obtained; determining the probability that each group of microscopic rock mechanical parameters belong to each mineral phase, and obtaining the average rock mechanical parameter value of each mineral phase; according to the real microcosmic distribution characteristics of the sample mineral phase, generating a microcosmic mineral distribution random field according with the real distribution characteristics of shale; according to the average rock mechanical parameter value of each mineral phase and the shale microscopic mineral distribution random field, the microscopic mechanical characteristics of the microscopic mineral distribution random field are equivalent to the microscopic scale, the microscopic scale is upgraded to the macroscale, a supercritical carbon dioxide fracturing model of the shale reservoir in the in-situ environment is constructed, and numerical simulation is carried out. By means of the method, accurate expression of the nanoscale-millimeter scale-meter scale-mine scale reservoir transformation numerical model can be achieved.

The invention relates to the technical field of spatial information acquisition and application, in particular to spatial information acquisition equipment adopting a semi-transparent screen for large-image-field imaging, which comprises a fixed imaging module and a movable imaging module, the equipment adopts the semi-transparent screen for large-image-field imaging, and then a common camera is used for copying an optical screen. The design thought expands the area of the image sensor into the area of the semi-transparent screen. Therefore, the limitation of the depth of field of an optical system and an image sensor on the technology is reduced, and high-precision three-dimensional reconstruction of centimeter-scale to meter-scale objects is realized through unique optical design and a movable structure. The core innovation lies in that a large-area semi-transparent screen is used as an intermediate image surface, and a fixed optical system and controllable mechanical motion are matched, so that large-image-field and high-resolution depth-of-field scanning imaging is realized, and the technical bottleneck that the traditional SFF is only suitable for microscopic scale is broken through.