257 results about "Pore distribution" patented technology

The invention provides coal-based porous carbon for preparing a silicon-carbon negative electrode material as well as a preparation method and application of the coal-based porous carbon, coal-based porous graphite is used as a matrix carbon material, polymer resin is used as a rigid bonding and coating material, heterogeneous elements such as B, N and P are used as doping materials, a carbon nanotube is used as a flexible conductive buffer material, and the materials are dispersed in a solvent to form slurry; through atomization granulation and high-temperature carbonization, heterogeneous element doped resin hard carbon is bridged with carbon nanotubes to construct a three-dimensional rigid-flexible conductive network to cooperatively coat the surface of the porous coal-based graphite, and doped heterogeneous elements are utilized to induce chemical-physical auxiliary activation to perform micro-mesoporous precise regulation and control pore forming on an inner core and a shell. The prepared novel coal-based porous carbon is high in porous framework particle strength and reasonable in pore distribution and has a three-dimensional rigid-flexible conductive network core-shell structure. The invention aims to solve the problems of unreasonable pore distribution of porous carbon, poor matrix strength and the like in the preparation process of a novel vapor deposition silicon-carbon negative electrode material.

The invention relates to the field of image processing, in particular to an oilstone static pressure forming quality detection method based on image processing, and the method comprises the steps: obtaining an infrared image set of an oilstone sintering and cooling stage, carrying out the superpixel segmentation to obtain a superpixel region of each frame of image, matching the superpixel regions of adjacent frames, and building a corresponding relation, and calculating a temperature anomaly characteristic value of each region. And analyzing the temperature change trend of each region, calculating a correlation coefficient, and introducing distance and temperature anomaly weight to carry out weighted fusion to obtain a comprehensive correlation index. And in combination with the temperature anomaly characteristic value and the comprehensive correlation index, evaluating the possibility value of occurrence of pore anomaly in each superpixel region, and judging whether pore distribution anomaly exists in the oilstone or not, thereby completing quality detection. According to the method, through superpixel segmentation and matching, in combination with temperature anomaly characteristics and comprehensive correlation analysis, precise detection of oilstone internal pore anomaly is realized, and the reliability of static pressure forming quality detection is improved.

The invention relates to the technical field of liquid absorption cores of vapor chambers, in particular to a vapor chamber with a porous liquid absorption core of a secondary structure and a preparation method of the vapor chamber. The preparation method comprises the following steps that an upper cover plate and a lower cover plate are prepared; cutting the metal wire mesh to obtain a wire mesh structure, and fixing the wire mesh structure on the surface of one side of the lower cover plate; electroplating is carried out on the silk screen structure of the lower cover plate to deposit nano-copper; calcining and curing the secondary structure of the silk screen electroplated with the nano-copper; and packaging the upper cover plate and the calcined lower cover plate, and performing liquid injection, degassing, sealing welding and packaging treatment to obtain the vapor chamber. According to the vapor chamber, the liquid absorption core with a secondary structure is prepared on the silk screen of the lower cover plate through electro-deposition of nano copper, the nano copper structure on the silk screen serves as the liquid absorption core through calcination and solidification, the service life of the vapor chamber can be effectively prolonged, the secondary porous structure provides multi-stage hole distribution for the liquid absorption core, multiple liquid flowing channels are provided, and heat conduction is accelerated.

The invention relates to the technical field of tunnel construction, in particular to a jamming risk early warning method and system for a flood discharge tunnel TBM tunneling process, and the method comprises the steps: building a lithology-tunneling model based on lithology parameter data and tunneling parameter data; dividing the end of the flood discharge tunnel to be tunneled based on the matching degree of the lithology comprehensive parameters of the flood discharge tunnel to be tunneled and the lithology-tunneling model; reducing the rotating speed of the cutterhead or increasing the inclination angle of the cutterhead based on the difference between the expansion rate and the expansion rate threshold; establishing a jamming risk early warning adjustment model based on the plurality of tunneling parameters before and after adjustment and the surrounding rock deformation values, and determining an early warning threshold correction coefficient; determining whether to monitor the fluctuation of the pore distribution of the surrounding rock based on the porosity of the surrounding rock so as to optimize the early warning threshold correction coefficient according to the correction coefficient optimization value; and reducing the surrounding rock deformation threshold value based on the correction coefficient optimization value. According to the invention, the accuracy of machine jamming risk early warning is improved.

The invention discloses a metal material hole evolution behavior simulation method influenced by multi-structure characteristics, and particularly relates to the technical field of metal material deformation damage prediction. The metal material hole evolution behavior simulation method influenced by the multi-structure characteristics comprises the following steps: (1) obtaining metal material microstructure information through characterization, and obtaining metal material hole internal distribution information through industrial CT detection; (2) constructing a representative volume unit containing multi-organization characteristics and hole distribution; (3) applying a periodic boundary condition to the RVE; (4) carrying out deformation behavior simulation calculation on the RVE under different loading conditions; and (5) obtaining the evolution behavior that the hole volume of the metal material is increased along with the deformation. The novel modeling method is developed, the second phase distribution density can be flexibly changed, non-uniform construction is achieved, the real microstructure characteristics of the metal material can be accurately reflected, and optimization of the preparation process of the high-performance metal material is facilitated.

The invention provides a refractory material quality detection method and system based on machine learning, and the method comprises the steps: collecting a multi-angle surface image set of a refractory material sample, covering images under different illumination conditions, so as to comprehensively capture material surface features; a pre-trained image feature analysis model is called to extract surface texture features, pore distribution features and microscopic crack features, and an image feature set is formed; performing joint classification processing on the image feature set based on a preset defect classification rule base, and identifying and quantifying defect types and distribution parameters thereof; generating a quality evaluation parameter according to the defect type set and the distribution parameter, comparing the quality evaluation parameter with a preset quality standard threshold value, and outputting a quality detection result; and a detection result is fed back to a production line control system, and sorting operation and process parameter adjustment are automatically triggered to realize intelligent monitoring and optimization of the production process, so that the accuracy and efficiency of quality detection of the refractory material are improved, and the improvement of the production quality is promoted.

The invention relates to the technical field of material analysis, and discloses an intelligent raw material composition screening method and system based on a sound insulation material, and the method comprises the steps: collecting acoustic characteristic test data, microstructure data and chemical composition data of a candidate sound insulation material; performing frequency response curve decomposition on the acoustic characteristic test data to obtain a characteristic frequency band sound absorption coefficient, and constructing an acoustic impedance tensor of the sound insulation material to analyze the sound wave dissipation performance of the candidate sound insulation material; calculating the pore distribution entropy and connectivity index of the candidate sound insulation material to analyze the sound wave propagation retardation efficiency of the candidate sound insulation material; analyzing the molecular chain flexibility and interfacial compatibility of the candidate sound insulation material to evaluate the acoustic performance stability of the candidate sound insulation material for multi-component compounding; and screening a target material from the candidate sound insulation materials by using sound wave dissipation performance, sound wave propagation retardation efficiency and acoustic performance stability. The performance matching degree of the raw materials screened out of the sound insulation material in actual composite use can be improved.

The invention discloses an underwater leveling machine path optimization method based on foundation bed pore characteristics, and relates to the technical field of ocean engineering. The method comprises the following steps: measuring three-dimensional topographic data and pore distribution characteristic data of a to-be-leveled water area foundation bed by using a multi-source sensing and control system and a multi-beam sounding method, establishing a digital topographic model of the to-be-leveled foundation bed, and generating candidate optimized leveling paths adapted to geological characteristics by constructing an initial construction path, the engineering feasibility of the leveling operation is evaluated, and the optimal position of each path point after iterative optimization is output as an optimized leveling path in combination with an optimization algorithm, so that the leveling of the underwater leveling machine is completed; according to the method, the pore distribution characteristics and three-dimensional topographic data of a seabed foundation bed are intelligently analyzed, reliable environment data are obtained, an initial construction blueprint is formed, a basis is provided for optimization, dynamic generation and online correction of a path are achieved by fusing pore characteristic analysis and an intelligent optimization algorithm, and efficient, uniform and high-precision autonomous leveling operation is achieved.

The invention provides a rock porosity adaptive modeling and blasting crack expansion calculation method based on key-type near-field dynamics, and the method comprises the steps: constructing a unified near-field dynamics model containing pore adaptive generation and blasting dynamic response; dynamic simulation of the rock blasting process is realized through pore distribution control, blasting load time history application and crack evolution judgment, and crack initiation, expansion and penetration rules can be accurately reproduced while the calculation stability is ensured. By introducing a pore adaptive discrete algorithm, the construction of rock models under different porosity conditions is automatically realized, and the initiation, expansion and penetration processes of cracks in the rock mass are accurately predicted in combination with near-field dynamics mechanical calculation under the action of an explosion load. According to the method, the heterogeneous characteristic of the rock and the discontinuous effect of the blasting load can be considered at the same time under a unified dynamic framework.

The invention discloses a method for accurately evaluating the erosion damage depth of hydraulic concrete, which relates to the technical field of concrete damage detection, and comprises the following steps: carrying out three-dimensional scanning on a surface damage area of an abraded hydraulic concrete test piece, and selecting random points to carry out drilling and coring operation so as to obtain a concrete core sample. According to the method, multiple detection means including three-dimensional scanning, computed tomography and microhardness testing are combined, the punching wear damage depth of the hydraulic concrete is accurately measured, and the damage form and depth information of the concrete surface is rapidly obtained through three-dimensional scanning; computed tomography deeply detects microcracks and pore distribution in concrete, microhardness test further accurately positions the damage depth, the limitation of a traditional detection method on detection precision is effectively overcome, more accurate damage depth data can be provided, and a reliable basis is provided for maintenance and repair of a hydraulic concrete structure.

The application relates to a customizable capillary wick structure, a preparation method and a design method in the technical field of wick structures of heat conduction plates. The capillary wick structure comprises one or more layer structures, when the layer structures are two or more, the two or more layer structures are arranged in a stack from top to bottom; each layer structure comprises a plurality of units arranged in an array; each unit comprises a plurality of support columns connected with each other, and a plating layer subjected to hydrophilic treatment is formed on the surface of the support column. The capillary wick structure has excellent liquid absorption performance, can improve the heat dissipation efficiency of the heat conduction plate, better meets the heat dissipation demand of electronic devices, the design method and the preparation method can optimize the structure parameters such as the size, thickness and pore distribution of the wick according to actual heat dissipation demand, realize customized design, effectively improve the liquid absorption performance of the wick, and provide a new scheme for customized design and preparation of the capillary wick of the heat conduction plate.

The invention relates to a shale full pore size distribution and connectivity quantitative characterization method. The method comprises the following steps: respectively determining a two-dimensional nuclear magnetic resonance T1-T2 spectrum and a nuclear magnetic resonance T2 spectrum of a dry sample core and a saturated oil core, carrying out a high-pressure mercury injection test on a parallel sample of the core, completing benchmarking of T2 and pore throat radius, and determining core communication aperture distribution; (2) splitting the rock core into sheets along the lamella, determining a two-dimensional nuclear magnetic resonance T1-T2 spectrum of the sheet-shaped dry sample rock core, comparing the two-dimensional nuclear magnetic resonance T1-T2 spectrum with the T1-T2 spectrum of the dry sample rock core, and calculating the distribution of the disconnected seams of the rock core; (3) grinding the rock core into 200-mesh particles, measuring the two-dimensional nuclear magnetic resonance T1-T2 spectrum of the granular dry sample rock core, comparing the two-dimensional nuclear magnetic resonance T1-T2 spectrum with the T1-T2 spectrum of the sheet-shaped dry sample rock core, and calculating the distribution of disconnected holes of the rock core; and (4) calculating shale full pore size distribution and connectivity. According to the method, nuclear magnetic resonance testing is carried out on shale in different states and forms, and quantitative characterization of shale full pore size distribution and connectivity of different storage spaces is achieved.

The invention relates to the crossing field of mechanical engineering and intelligent manufacturing, and discloses a real-time monitoring, regulating and controlling method for the manufacturing process of an automobile lightweight component. According to the method, a distributed fiber bragg grating sensing array is embedded in a mold, and a three-dimensional strain field at the flowing front edge of resin is obtained in real time; a multi-scale pore generation kinetic model is combined to perform online inversion on an unwetted area and pore distribution; and the pressure gradient and the mold temperature field of the hot press are adaptively regulated and controlled, and the flow path is dynamically corrected. The system comprises a sensing embedding module, a strain demodulation module, a pore inversion module, a regulation and control instruction generation module and a multi-zone execution module. According to the method, closed-loop precise control over the porosity being lower than 0.5% is achieved, and the consistency and reliability of the mechanical property of the component are remarkably improved.

The invention discloses a fluidized bed reactor for preparing porous carbon through collaborative graded activation of water vapor and CO2 and a method for preparing the porous carbon through collaborative graded activation of the water vapor and the CO2, and belongs to the technical field of material chemical engineering. The fluidized bed reactor is composed of a shell, a fluidization section, a sedimentation section, a porous distribution plate, a gas distribution chamber, a stirring device and a temperature control system, and uniform fluidization and multi-section temperature control of superfine powder are achieved. According to the activation method, steam and CO2 collaborative graded etching pore-forming is adopted, specifically, in the first stage, quick pore-forming is conducted mainly through steam at the temperature of 500-800 DEG C, in the second stage, pore-expanding is conducted cooperatively through steam and CO at the temperature of 700-900 DEG C, and in the third stage, fine control is conducted mainly through CO2 at the temperature of 850-1050 DEG C; the continuous preparation of the high-performance porous carbon with the specific surface area of 1500-2500m < 2 > / g, the pore volume of more than or equal to 0.8 cm < 3 > / g and the 2-10nm mesopores accounting for 20-60% is realized by adjusting the gas velocity, the activation temperature, the activation time and the ratio of water vapor to CO2, the bottlenecks of low specific surface area, single pore diameter, large batch difference and the like of physical activation are solved, and the method is suitable for green and low-cost production of high-end energy storage carbon materials such as supercapacitors, lithium / sodium ion batteries and the like.

The invention discloses a preparation method of a porous copper foil based on a hydrogel template and the porous copper fores.The method comprises the steps that firstly, a hydrogel solution is applied to the surface of a cathode roller in a spraying mode, and a hydrogel shielding point array is formed by means of the self-polymerization characteristic of the hydrogel solution; secondly, performing electrolysis operation by taking a cathode roller area outside the shielding point as a deposition site to prepare a composite copper foil mingled with the hydrogel shielding point; and then, stripping the composite copper foil from the cathode roller, placing the composite copper foil in an alkaline solution for ultrasonic treatment for 0.5-5 minutes, so that the hydrogel shielding point is swelled and then falls off through ultrasonic oscillation, and a pure porous copper foil is obtained. And finally, performing surface treatment on the porous copper foil by adopting a passivation solution to improve the stability of the porous copper foil. According to the method, accurate regulation and control of the porous structure are achieved through the hydrogel template, the preparation process is green and efficient, and the obtained porous copper foil is uniform in pore distribution, large in specific surface area and good in mechanical property.

The invention discloses a closing resistor disc porosity accurate detection and imaging method, device, equipment and medium based on an ultrasonic back scattering signal, and relates to the technical field of ultrasonic nondestructive evaluation.The method comprises the steps that a low-frequency ultrasonic probe is adopted to conduct water immersion type ultrasonic scanning on a target closing resistor disc, and data to be processed are obtained; preprocessing the to-be-processed data, and extracting characteristic parameters of a back scattering signal, including back scattering average power, back scattering spectrum energy and the like; determining the reference porosity of a specific area of the target resistor disc through a standard water immersion method, and establishing a calibration data set; constructing a porosity prediction model based on particle swarm optimization support vector regression (PSO-SVR), and realizing accurate mapping of back scattering characteristic parameters and porosity through nonlinear regression analysis; and based on the established prediction model, carrying out porosity calculation on the whole area of the resistor disc, and generating a two-dimensional pore distribution image. By means of the method, accurate detection and imaging of the porosity of the closing resistor disc can be achieved.

A method and device for determining oil-water relative permeability information of a medium-high permeability reservoir, relating to the technical field of oil and gas reservoir development. The method comprises: acquiring nuclear magnetic resonance T2 spectrum information of a medium-high permeability reservoir in multiple states (101); determining pore distribution and oil phase distribution on the basis of the nuclear magnetic resonance T2 spectrum information in multiple states (102); using the pore distribution and the oil phase distribution of the medium-high permeability reservoir, combined with the wettability type of a core of the medium-high permeability reservoir, to divide movable oil-water space in the nuclear magnetic resonance T2 spectrum information in multiple states (103); on the basis of the nuclear magnetic resonance T2 spectrum information of the medium-high permeability reservoir in multiple states, determining a correspondence between the normalized saturation of the movable oil-water space and a T2 value (104); and on the basis of the correspondence between the normalized saturation of the movable oil-water space and the T2 value, determining an oil-phase relative permeability curve and a water-phase relative permeability curve of the medium-high permeability reservoir (105).

The present invention provides a method for characterizing the pore structure of rocks. First, different types of image acquisition methods are used to characterize the pore characteristics at different scales. Then, the pore volumes of the overlapping parts with intermediate precision between the images at different scales are calibrated to achieve the characterization of the full-scale pore structure of rock samples. The concept of the present invention is reasonable, integrating pore characterization means at different scales, capable of obtaining the total porosity of pores at all scales, realizing the characterization of the pore results of rocks at different scales, and accurately quantifying the porosity and pore distribution at the millimeter, micrometer, and nanometer scales.

The invention discloses a preparation process of a fine-spacing ordered dense-arrangement porous needle plate. The preparation process comprises the following steps: designing a three-dimensional model of a needle plate mold, reserving hole site marking points, setting laser processing parameters according to the characteristics of selected materials and the precision of the required mold, filling selected metal powder, and manufacturing a needle plate mold blank through a 3D metal printing technology; according to the performance requirements of the selected materials, the needle plate mold blank is subjected to heat treatment; and a machine vision system is used for recognizing reserved hole site mark points and correcting positioning deviation, different laser machining parameters are selected according to the surface quality grade of the mold, fine machining of the inner surface of a micropore is achieved through the laser technology, and the high-quality needle plate mold is obtained. The invention further discloses a porous needle plate mold. By adopting the device and the method, the problems of difficulty in positioning, low machining efficiency, non-uniform hole distribution, overlarge hole pitch, rough hole wall and the like during micropore machining are solved, and efficient preparation of the high-precision needle plate mold with numerous micropores, small hole pitch and ordered arrangement of the micropores is successfully realized.

The invention belongs to a lithium ion battery negative electrode material, and particularly relates to a porous carbon matrix for a silicon-carbon negative electrode and a preparation method of the porous carbon matrix. The specific surface area of the porous carbon material is not less than 1800m < 2 > / g, and the pore volume is not less than 0.9 cm < 3 > / g; and the mechanical strength is 10-17 MPa. According to the ordered mesoporous carbon matrix prepared by adopting a soft template method, pores of the material are generated from inside to outside, the pore distribution is uniform, the particle consistency is high, the pores are highly ordered and through cubic mesopores, and the pore diameter is about 5nm. After simple activation treatment, the specific surface area and micropore channels of the material can be effectively improved, and the material is suitable for being used as a base material of chemical vapor deposition silicon. In addition, the carbon material has a high-strength carbon skeleton, the particle strength is high, and an effective confinement effect can be provided to maintain the volume integrity of the silicon particles. The prepared silicon-carbon negative electrode material has higher particle capacity, more stable cycle performance and better rate capability, and meanwhile, the process steps are simple and efficient.

The invention discloses a method for preparing a porous carbon material by using petroleum coke and biomass as raw materials, which comprises the following steps: respectively crushing and drying a biomass raw material and a petroleum coke raw material, adding a dry biomass fine powder material and a dry petroleum coke fine powder material into urotropine, melamine, alcohol ether carboxylate and water according to a ratio, adding the materials into a reactor, stirring, mixing and reacting; the cured product is fed into a tubular furnace to be subjected to heat treatment in the nitrogen atmosphere, and a carbonized product is obtained; and activating the carbonized product in a carbon dioxide atmosphere to obtain the porous carbon material with the specific surface area of 1510-2090 m < 2 > / g, the total pore volume of 0.72-0.99 cm < 3 > / g and the average pore size of 1.71-2.29 nm. The raw material proportion, the mixing aid dosage and the carbonization activation condition can be adjusted according to different biomass types, the pore distribution of the product can be flexibly adjusted, and the method can be applied to different scenes. The method is low in cost, environment-friendly, controllable in product stability and suitable for large-scale production and application.

The present application belongs to the technical field of numerical simulation of welding process. A method for simulating the control of pores in the flow process of the molten pool of Invar steel includes obtaining the three-dimensional parameters of the parent material Invar steel and the welding process parameters; performing three-dimensional modeling according to the three-dimensional parameters of the parent material Invar steel to form a three-dimensional model, and meshing the three-dimensional model to obtain the welding area; using the welding process parameters and the welding area to perform welding simulation to obtain the change diagram of the molten pool temperature field, flow field and keyhole at different times; using the welding process parameters corresponding to the risk characteristics in the change diagram, performing welding experiments on the welding area corresponding to the parent material Invar steel to obtain the quantitative mapping relationship between the collapse frequency of the keyhole and the pore distribution characteristic parameters and the welding process parameters; based on the quantitative mapping relationship between the collapse frequency of the keyhole and the pore distribution characteristic parameters and the welding process parameters, forming a pore suppression process window optimization scheme based on keyhole stability control.

The present invention relates to an X molecular sieve-based adsorbent. The adsorbent comprises at least 92 wt% of an X molecular sieve, and has a micropore volume of 0.18-0.30 mL / g and a mesopore volume of 0.01-0.1 mL / g. A pore size distribution curve of the adsorbent shows at least two mesopore distribution peaks, wherein the most probable pore size corresponding to one mesopore distribution peak ranges from 3.0 to 9.0 nm, and the most probable pore size corresponding to the other mesopore distribution peak ranges from 10.0 to 19.0 nm. The present invention further relates to a preparation method for the adsorbent, a use of the adsorbent, and a device comprising the adsorbent.

The invention discloses a microcosmic multi-modal characteristic analysis and visualization method for a cement-based cementing material. The method comprises the following steps: S1, obtaining a back scattering image, a qualitative element surface spectrum and a quantitative element surface spectrum of a cement-based cementing material sample; s2, extracting a pore structure of the back scattering image, and generating a pore distribution diagram; s3, forming a superpixel-level element feature matrix; s4, constructing an Andata data object, and performing dimension reduction clustering to integrate multi-source heterogeneous data; and S5, based on the constructed Andata data object, realizing visual analysis of multiple types of images. The method is high in universality, is not only suitable for ordinary Portland cement systems, but also can be widely applied to multi-phase identification and quantitative analysis of various complex cement-based composite materials, and provides a powerful micro-analysis tool for researching the relationship between material composition, structure and performance.

The invention relates to the technical field of porous material preparation process optimization, in particular to a porous material preparation process optimization method. The method comprises the steps of obtaining microscopic pore distribution characteristic data to generate preliminary design parameters, constructing a microstructure model to optimize pore sizes, adjusting key element distribution to generate an improved scheme, determining an optimal process parameter combination through simulation testing, detecting pore uniformity in real time and dynamically adjusting parameters. And monitoring the element utilization rate to generate a dynamic adjustment scheme and verifying the performance index to generate an optimization record. Intelligent control over preparation of the porous material can be achieved, the surface area, the pore uniformity and the key element utilization rate are remarkably increased, and reliable technical support is provided for application in the fields of catalysis, environmental protection and the like.

A preparation method of a specific pore size aluminum foam, comprising foaming, the foaming is adding a composite foaming agent and stearic acid in the tackified molten aluminum, and carrying out heat preservation foaming after stirring and dispersing, the composite foaming agent is titanium hydride as the main body, zirconium hydride and calcite as the adjuvant, and the mass ratio of titanium hydride, zirconium hydride and calcite is 5:1~2:0.5~0.8.In the application, TiH2, ZrH2 and calcite are used as the foaming agent, and the calcite is used in combination with stearic acid, so that the pore size structure and the uniformity of the pore distribution in the aluminum foam are controlled, the pore size is mainly distributed between 1~2mm, the pore size variation coefficient is 0.49, the porosity of the aluminum foam reaches 88.4%, the density retention rate of the material is between 108.2~120.4%, the structural stability is excellent, and the aluminum foam has obvious advantages as a heat and sound insulation material.The preparation process can be popularized to the preparation of aluminum-scandium alloy foam, so that the Sc distribution is promoted to be uniform, and the yield platform stress and the energy absorption efficiency are significantly higher than those of the pure aluminum foam.

The present invention discloses a method for effectively disassembling a nuclear magnetic resonance relaxation time spectrum, comprising the following steps: S1, constructing a probability density function of pores and caves according to the distribution characteristics of pores and caves in a core nuclear magnetic resonance T2 spectrum; S2, setting the sum of the nuclear magnetic spectrum areas to 1, randomly generating n data points within the interval of pore distribution, and dividing all the data points into multiple data sets by screening peak values; S3, calculating a likelihood function; S4, calculating a priori probability that each data point belongs to a pore or a cave; S5, updating various parameters in an iterative method using the priori probability; and S6, calculating a new logarithmic likelihood based on the updated parameters, and updating the expected E in the iterative method. p and E v , expected E p and E v Repeat steps S2 to S5 until the convergence condition is met and the iteration is terminated. The present invention combines nuclear magnetic resonance testing with an iterative method to decompose the nuclear magnetic resonance spectrum, thereby improving the accuracy of the spectral shape distribution.

The invention discloses a measuring tool for capturing a dynamic gap position and a morphological characteristic identification method.The measuring tool comprises a connector and a guiding shoe, the guiding shoe is provided with a connecting part and a working part, and the connecting part comprises an internal hollow cavity and an external guiding shoe protection sleeve; a first temperature-resistant pressure-resistant high-sensitivity thermometer, a first temperature-resistant pressure gauge, a temperature-resistant pressure flow meter, a second temperature-resistant pressure gauge and a second temperature-resistant pressure-resistant high-sensitivity thermometer which are sequentially connected are arranged in the hollow cavity, one end of the joint is connected with the drill rod, the other end of the joint is connected with the first temperature-resistant pressure-resistant high-sensitivity thermometer, and the second temperature-resistant pressure-resistant high-sensitivity thermometer is connected with the working part. According to the method, the open hole section gap / pore distribution position within 5000m can be effectively distinguished, and the accuracy rate is within + / -10m, so that accurate data is provided for subsequent liquid quantity control of high-concentration plugging anti-sloughing drilling fluid, liquid quantity control of plugging slurry and drilling tool depth position, and targeted treatment is realized. And the risks of invalid leaking stoppage and underground drilling jamming caused by inaccurate judgment of the position of the leaking layer are reduced.

The embodiment of the present application relates to a kind of copper intermetallic compound porous materials and its preparation method and application, wherein, preparation method includes: metal Mg, Zn, Cu, M is mixed, is handled by induction smelting, and MgZnCuM alloy ingot is obtained;MgZnCuM alloy ingot is treated by spinning, and MgZnCuM precursor is obtained;MgZnCuM precursor is placed in gas phase de-alloying system and is treated by first vacuum heat treatment, and copper intermetallic compound porous material MgCuM is obtained;MgCuM has double continuous structure.The preparation method is simple and easy to operate, pore size is adjustable, and pore distribution is uniform, and the preparation process is environment-friendly and pollution-free.

A silica particle includes: a quaternary ammonium salt, in which the following expressions are satisfied, 0.90≤FBEFORE / FAFTER≤1.10, and 5≤FSINTERING / FBEFORE≤20, in which FBEFORE represents a maximum frequency value of a pore diameter of 2 nm or less in the silica particles before washing, which is obtained from a pore distribution curve in a nitrogen gas adsorption method, FAFTER represents a maximum frequency value of the pore diameter of 2 nm or less in the silica particles after washing, which is obtained from the pore distribution curve in the nitrogen gas adsorption method, and FSINTERING represents a maximum frequency value of the pore diameter of 2 nm or less in the silica particles before washing and after sintering at 600° C., which is obtained from the pore distribution curve in the nitrogen gas adsorption method.