67 results about "Tortuosity" patented technology

The embodiment of the invention provides a core permeability prediction method, electronic equipment and a storage medium. According to the method, a digital rock core model of a sample rock core is constructed, pore structure parameters of the digital rock core model are calculated, and the pore structure parameters comprise porosity, the ratio of the minimum pore throat diameter to the maximum pore throat diameter, fractal dimensions, the specific area value and tortuosity; and inputting the porosity, the pore throat diameter distribution parameter, the fractal dimension, the specific area value and the tortuosity of the digital core model into a permeability calculation model to obtain a permeability prediction value of the digital core. According to the method, when the permeability of the core is calculated, multi-scale parameters such as fractal dimensions are introduced, and the pore characteristics of a complex reservoir are fully described, so that the influence of the pore structure of the sample core on the seepage is more accurately represented, and the prediction precision of the permeability is improved.

The invention discloses a gas diffusion layer reconstruction and two-phase flow model combination method considering a binder structure, which comprises the following steps of: establishing a gas diffusion layer pure fiber structure by utilizing a random reconstruction method, reconstructing the binder structure by adopting a morphological closed operation algorithm, and regulating and controlling the size of a structure operator to obtain a two-phase flow model. The effective control on the structural volume ratio and the porosity of the binder is realized. A two-phase flow model is established based on reconstruction of a gas diffusion layer with a real structure, so that the flow process of liquid water in the gas diffusion layer is solved and calculated. According to the method, the pore structure of the gas diffusion layer of the fuel cell can be reconstructed more accurately, and structural parameter changes of the gas diffusion layer caused by the existence of the binder, including changes of key parameters such as porosity, pore diameter and tortuosity, can be obtained. The characteristics of the two-phase flow process in the gas diffusion layer can be visually, rapidly and accurately obtained, the relation between the structure of the gas diffusion layer and the two-phase flow process is defined, and the structure of the gas diffusion layer is optimized.

The present invention provides a high-efficiency buoyancy-driven convection-based 3D solar evaporator designed for the simultaneous rejection of salt and stable evaporation of high salinity water. The product combines different strategies, including engineered wick structure, low tortuosity macrochannels and edge-preferential salt crystallization. As a result, this evaporator demonstrates a stable evaporation rate of at least 2.5 kg m−2 h−1 under solar irradiance of 1 kW m−2 with sea water or salt solution of salinity of over 8 wt %.

The invention relates to a method for calculating an unsaturated permeability coefficient based on a soil-water characteristic curve, which comprises the following steps: establishing a soil-water characteristic curve model, setting a pore space in soil as a capillary bundle with non-uniform size by the model, the curve model comprising a Ropin-Rammer particle size distribution model and a void ratio; an unsaturated permeability coefficient model is established, the total permeability coefficient comprises capillary and non-capillary permeability coefficients, the capillary permeability coefficient is determined through an absolute saturation tortuosity constant, and the change of the non-capillary relative permeability coefficient is represented by a continuous differentiable empirical equation; according to the curve model and the unsaturated permeability coefficient model, determining a plurality of unsaturated permeability coefficient combination models, fitting each combination model to obtain a corresponding soil-water characteristic curve, and fitting each combination model into a calibration data set to obtain an optimal absolute saturation tortuosity constant value for evaluating the performance of different combination models; and determining an optimal unsaturated permeability coefficient model according to an evaluation result.

The present invention discloses a method for obtaining the tortuosity and permeability of a porous medium based on a rectangular particle model. For rectangular porous medium particles, a microscopic structure model is established by a fractal method, which can be used to obtain the tortuosity, permeability and capillary entry pressure of a porous medium composed of rectangular particles with different shape parameters. By establishing a microscopic structure model of a porous medium composed of rectangular particles, this method realizes the quantification of the water flow movement parameters of the porous medium, is suitable for simulating and predicting the migration of chlorinated hydrocarbon pollutants in an aquifer, and can realize the identification of the particle shape parameters of the aquifer, and has wide applicability to the accurate simulation of groundwater flow movement and pollutant migration and remediation.

This invention discloses a method for calculating the tortuosity of coal-uranium reservoirs based on the maximum inscribed circle and symmetry constraints, comprising the following steps: acquiring a three-dimensional binary image of the internal structure of the coal-uranium reservoir; extracting inlet and outlet end face slices respectively, and marking the pore connectivity domains in each slice; for each pore connectivity domain, determining the center and radius of the maximum inscribed circle through Euclidean distance transformation, and filling the maximum inscribed circle in descending order of radius; setting a radius threshold, and determining the center of the filled circle that satisfies the threshold as the channel endpoint; applying the same connectivity domain marking rules, filling rules, radius threshold, and non-overlapping constraints to the inlet and outlet end faces to obtain the set of starting points and the set of ending points; searching for the optimal connectivity path from each starting point to each ending point in the three-dimensional pore space, and recording the actual length of each path; calculating the tortuosity based on the actual length of each path and the seepage length, and thus obtaining the overall tortuosity.

The present invention discloses a method for predicting the in-situ coal permeability distribution characteristics based on image processing. The method includes: using the borehole drilling technology to implement horizontal drilling operations on the in-situ coal in front of the mining and excavation working face, obtaining coal samples and performing micro-disturbed cutting on the samples, scanning the cutting cross-section images of the coal samples through the digital core CT image module to obtain a two-dimensional image set, relying on the image parameter calculation module to realize the binary conversion of the original images and the calculation of parameters such as particle diameter, pore tortuosity, and surface porosity, and transmitting each parameter data set to the permeability region identification module to complete the calculation of the in-situ coal permeability and the identification and division of the low-permeability development area based on the image parameter data set. Based on this, the present invention introduces image processing technology combined with the coal permeability calculation theory to accurately describe the in-situ complex coal permeability distribution characteristics, and further realizes the accurate identification of the in-situ coal gas low-permeability area.

The invention relates to the technical field of oil and gas reservoir development, and discloses a core micro-CT image pore structure intelligent analysis method and system, and the method comprises the steps: obtaining core micro-CT scanning three-dimensional image data; noise filtering, gray correction and artifact removal preprocessing are carried out; a three-dimensional deep learning semantic segmentation network comprising a mixed attention module is adopted to identify pores, throats and skeletons; extracting a pore network model by adopting a maximum ball algorithm in combination with an adaptive pore throat segmentation factor; calculating structure parameters such as porosity, coordination number, tortuosity and the like; analyzing connectivity and seepage channel characteristics; performing multi-displacement mode two-phase flow simulation to predict displacement efficiency; according to the method, the end-to-end intelligent analysis is realized, and the pore segmentation precision and the displacement efficiency prediction reliability are improved.

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 utility model provides a honeycomb structural body which is used as a filter for purifying waste gas and can restrain the rise of pressure loss when PM (particulate matter) of coal and the like is accumulated. A honeycomb structure is provided with a columnar honeycomb structure part (4) having partition walls (1) arranged so as to surround a plurality of cells (2) that serve as fluid flow paths and extend from a first end surface (11) to a second end surface (12), and the partition walls (1) are configured from a porous body in which a plurality of pores that communicate adjacent cells (2) with each other with the partition walls (1) therebetween are formed. The ratio L / T of the flow path length L of the pores in the thickness direction of the partition walls (1) to the thickness T of the partition walls (1) is defined as the curvature A, the unit of L and T is [mu] m, the average curvature AAve, which is the average value of the curvature A of the partition walls (1) constituting the honeycomb structure part (4), is 1.10-1.40, and the value X (X = AAve / B2) obtained by dividing the average curvature AAve by the square of the deviation curvature B, which is the deviation of the curvature A, is 100-300.

The invention discloses a method and system for measuring the permeability of rock debris, and relates to the technical field of petroleum and natural gas exploration, and the method comprises the following steps: S1, selecting a homogeneous regular plunger core with known permeability; s2, cutting the periphery of the plunger core to obtain rock debris in an irregular shape; s3, the cut rock debris is subjected to CT scanning, and the tortuosity, throat radius or porosity data of each rock debris are calculated through image processing software; s4, performing calculation processing on the obtained tortuosity, throat radius or porosity data to obtain a correlation fitting formula; s5, performing CT scanning on the rock debris sample with the permeability to be measured, and processing through image processing software to obtain corresponding throat radius, tortuosity or porosity data; and S6, importing the corresponding throat radius, tortuosity or porosity data into the fitting formula to obtain the permeability. The method has no requirement on sample size and is suitable for various samples; meanwhile, the calculation method is simple and easy to popularize and use in a large range.

The invention discloses a reservoir porosity real-time prediction method and system based on alkane gas curvature and a storage medium, relates to the technical field of oil and gas reservoir development, and aims to solve the problems of insufficient utilization of dynamic characteristics of alkane gas curvature, poor real-time performance and limited heterogeneous reservoir modeling capability of an existing method. According to the technical key points, the method comprises the following steps: S100, acquiring alkane gas concentration and carbon isotope ratio data in a drilling process in real time, and calculating a curvature characteristic of the alkane gas concentration; s200, performing dynamic feature extraction on the alkane gas curvature; s300, performing dynamic weighted feature fusion on the curvature dynamic feature and the carbon isotope ratio to obtain fusion data; s400, constructing a BiLSTM model, training the BiLSTM model based on the fusion data, generating a hidden state, introducing an attention mechanism to perform dynamic weighting, and combining with an adjacent matrix of a reservoir geological unit to realize space enhancement; and S500, on the basis of the BiLSTM model, in combination with physical constraints, performing real-time prediction on the porosity of the reservoir.

The invention discloses a flash evaporation material with good tortuosity and a preparation method thereof, and belongs to the technical field of flash evaporation spinning, the flash evaporation material is prepared from polyethylene, the tortuosity is 2.5-25, and the permeability is 85-11800 mdarcy. The flash evaporation material provided by the invention has proper tortuosity, permeability, Gurley air permeability and hydrostatic pressure, and has a good application prospect.

The invention discloses a ship shafting flange offset and tortuosity value magnetic type detection method and device, and the method comprises the steps: arranging two magnetic adjustment assemblies and two dial indicators on a support, and then fixing the device at an upper detection position, a lower detection position, a left detection position and a right detection position of two opposite middle shaft flanges; at each detection position, the two magnetic suction adjusting assemblies are respectively adsorbed on the outer circumferential surface and the flange surface of one shaft flange, and pointers of the two dial indicators respectively and vertically point to the outer circumferential surface and the flange surface of the other shaft flange; and the centering offset and the centering zigzag value of the shafting flange are calculated according to the reading changes of the two dial indicators at the four detection positions, so that the centering precision of the shafting flange is quickly obtained.

Disclosed herein is an electrode film exhibiting high density and low tortuosity, along with an electrode-forming composition used to make the electrode film. Also disclosed is a method for making the electrode film, which comprises using a template component that can be removed after forming the electrode film to provide a hierarchical pore network throughout the electrode film. In addition to the template component and an electroactive material, some aspects of the disclosure utilize a binder. In some aspects, the binder becomes fibrillated during the method used to make the electrode, which further facilitates the hierarchical pore network in some aspects.

This invention discloses a method for calculating a permeability stress-sensitive evolution model based on multi-scale CT images. This method modifies the traditional exponential dual-medium permeability stress evolution model. Micron-scale CT and nano-scale CT images of fractures and matrix pores in dense sandstone are acquired. Based on digital image processing, and combined with fractal theory, tortuosity calculation, and a pore network model, the fractal dimensions of tortuous fractures and tortuous pores are calculated, establishing a tortuous dual-medium permeability stress-sensitive evolution model. Compared with the traditional model, this method calculates relevant parameters of fractures and matrix pores based on real core images and considers the variation of pore compressibility with effective stress, making it more consistent with reality. Experimental test data validated the predictive performance of the model, showing good fitting results.

The application discloses a kind of soil solidifying agent solidification performance test analysis method, it is related to soil solidifying agent solidification performance test field, comprising: the present application obtains load-displacement curve and micro video stream in quasi-static loading process, and the load value and corresponding time stamp of characteristic inflection point in load-displacement curve are extracted, which represent crack initiation, stable expansion and unstable expansion feature;Identify the pixel coordinates of crack initiation point, and the pixel coordinates of crack initiation point are matched with the position of pore, interface defect in background structure feature map in space, to judge the defect type that crack initiation originates from;By obtaining the crack path from crack initiation point to unstable expansion, the tortuosity and branch number are extracted, combined with crack tip strain field concentration degree and crack origin type under different loading stages, the dominant cause leading to sample failure is analyzed, the collaborative analysis of loading mechanical behavior and micro deformation evolution is realized, and the failure mechanism of solidified soil can be identified.

The invention discloses a reservoir fracture evolution stage and pore permeability parameter collaborative characterization method which comprises the following steps: screening rock samples, and preparing two sets of samples A and B; carrying out a rock mechanics experiment on the sample A, and determining a rock stress-strain curve; determining a CT scanning point of the sample B according to the stress and strain curve; carrying out a rock mechanics experiment on the sample B, and carrying out CT scanning on corresponding scanning points; carrying out digital core modeling on a two-dimensional image obtained by CT scanning, and calculating the porosity and tortuosity of the rock in different fracture stages; based on a particle flow software PFC modeling method, determining a macroscopic structure evolution stage of the fold thrust belt; according to the macroscopic structure evolution stage and the strain size of the research area, combining digital core modeling, the reservoir fracture evolution stage and the porosity and permeability response; in the application, real-time monitoring of the internal fracture process of the rock can be achieved, meanwhile, efficient and lossless perspective of the morphology characteristics of the internal space structure of the sample is met, the fracture development process is revealed, and rock fracture visualization is achieved.

Technologies for controlling tortuosity of fluid flow through a subterranean formation include introducing a diverting fluid into a wellbore, introducing a first fluid into the wellbore, collecting a second fluid from the wellbore or a second wellbore, and recovering heat from the second fluid. Technologies for increasing the likelihood that a fluid absorbs heat as flowing through a rock fracture include introducing a first fluid into a first wellbore, introducing a particulate fluid into the first wellbore, collecting a second fluid from a second wellbore, and recovering heat from the second fluid. Technologies for recovering heat from a subterranean formation include observing a first parameter of a first fluid introduced into a first wellbore, observing a second parameter of a second fluid collected from a second wellbore, recovering heat from the second fluid, and introducing a diverting fluid into the first wellbore.

Disclosed herein is a method for identifying a high producibility zone in a shale reservoir. The method includes obtaining a total organic carbon (TOC) content and an organic sulfur content of a formation interval using geochemical measurements and determining a dielectric dispersion response of the formation interval using dielectric measurements. The dielectric dispersion response is processed to obtain an aperture system tortuosity parameter. The pore system tortuosity parameter correlates to a ratio of organic sulfur content to TOC content to identify the presence of a mature kerogen zone with high or low hydrocarbon producibility, an immature kerogen zone in which clay is present, and a non-producible or over-mature zone within a formation interval. The correlation is performed by comparing the ratio of organic sulfur content to TOC to an organic matter maturity threshold and comparing the pore system tortuosity parameter to a pore system tortuosity parameter threshold.

The invention discloses a soil stabilizer curing performance test analysis method, and relates to the field of soil stabilizer curing performance tests.The method comprises the steps that a load-displacement curve and a microscopic video stream in the quasi-static loading process are obtained; load values representing crack initiation, stable propagation and unstable propagation characteristic inflection points and corresponding timestamps in the load-displacement curve are extracted; identifying a pixel coordinate of the crack initiation point, performing spatial matching on the pixel coordinate of the crack initiation point and positions of pores and interface defects in the background structure feature map, and judging a defect type from which the crack initiation point originates; the method comprises the following steps: acquiring a crack path from a crack initiation point to instability propagation, extracting tortuosity and the number of branches, combining the strain field concentration degree of a crack tip and a crack origin type at different loading stages, analyzing leading reasons causing sample damage, and realizing collaborative analysis of loading mechanical behaviors and microscopic deformation evolution. And the destroy mechanism of the solidified soil can be identified.

The application discloses a kind of unconventional reservoir effective permeability prediction methods based on self-suction experiment, comprising: (1) obtaining unconventional reservoir physical property parameters, pore size distribution parameters, clay mineral basic characteristic parameters and fracturing fluid performance parameters;(2) establish unconventional reservoir self-suction micro force calculation model, including capillary force calculation model, clay mineral penetration pressure calculation model;(3) establish unconventional reservoir effective permeability model based on self-suction capacity, calculate the effective permeability of unconventional reservoir using self-suction capacity coefficient C.The application comprehensively considers the influence of tortuosity characteristics and self-suction force in unconventional reservoir, and based on Darcy's law, a theoretical model for predicting the matrix permeability of unconventional reservoir based on self-suction capacity is derived, which has the advantages of easy to obtain basic parameters, novel calculation method, small error and fast and convenient.

The present invention discloses a method for predicting the leakage depth of helium in a salt cavern helium storage reservoir. First, obtain the porosity, tortuosity, and pore size distribution data of the rock sample, and then combine with the comprehensive permeability prediction method of salt rock proposed by the present invention, which considers the Knudsen effect, viscous flow, and surface diffusion effect, to calculate the comprehensive permeability of helium under the temperature and pressure conditions where the salt cavern is located; finally, according to the wellhead pressure and helium injection and production data, combined with the gas seepage equation, the leakage depth of helium during the storage period can be predicted, providing a theoretical reference for the design and construction of the helium storage reservoir and the safe and efficient storage of helium.

The application discloses a method for rapidly evaluating the risk degree of invisible cold cracks of high-strength steel welds, and belongs to the field of weld cold crack detection and analysis. A high-decibel crack propagation signal emitted by a weld of a test piece is acquired, and a corresponding weld cross-section crack macro-micro image is acquired; an energy count value and a rising time value of the high-decibel crack propagation signal are extracted and normalized, and the cold crack tortuosity and the fracture facet area of the selected weld cross-section position are counted and selected; the energy proportion value of a D3 frequency band reflecting the cold crack characteristics is determined; a quantitative relationship between the weld cross-section crack tortuosity and the energy count, and a quantitative relationship between the weld cross-section fracture facet area proportion and the D3 frequency band energy proportion are established; and the risk degree of the weld crack of the high-strength steel structure to be measured can be determined by using the relationship formula. The method is simple in steps and can rapidly evaluate the risk degree of invisible cold cracks of high-strength steel welds.

The invention provides a starry sky foam copper foil foaming equipment monitoring method and device, and the method comprises the steps: obtaining bubble fracture characteristic data from sound wave signals and temperature field data, and constructing an initial monitoring data set; extracting a frequency peak value and a temperature gradient change according to the bubble rupture related characteristics, and evaluating the tortuosity degree of a gas escape path; through deviation degree analysis of the tortuosity degree of the gas escape path and a preset threshold value, the local tearing risk is evaluated, and a risk area positioning coordinate is determined; adjusting a three-dimensional cladding integrity judgment threshold value according to the risk area positioning coordinates; evaluating the potential reduction degree of the node connection density by adopting the adjusted three-dimensional coating integrity judgment threshold value to obtain a correction value of density stability control; and generating a node connection density stable control signal.

The invention discloses a saturated medium-coarse sand medium permeability coefficient correction method, and relates to the technical field of geotechnical engineering and hydraulic engineering, and the saturated medium-coarse sand medium permeability coefficient correction method comprises the following steps: obtaining microstructure parameters of a saturated medium-coarse sand medium through a nondestructive testing technology, the microstructure parameters at least comprising an effective porosity ne, a tortuosity gamma and a pore average diameter dp; the double-path permeability coefficient calibration algorithm comprises the following steps: calculating a permeability coefficient based on a correction formula of the effective porosity ne and the permeability coefficient K; and calculating the permeability coefficient based on theoretical models of the effective porosity ne, the tortuosity gamma and the average pore diameter dp. According to the invention, an empirical calculation model based on effective porosity and a theoretical calculation model fused with tortuosity are constructed to form a dual-path correction algorithm system, so that the calculation precision of the permeability coefficient and the reliability of the algorithm in related engineering scenes are effectively improved; and an innovative algorithm system is provided for medium-coarse sand medium permeability coefficient evaluation in the fields of geotechnical engineering, hydraulic engineering and the like.

The application discloses a kind of laminated shale inherent anisotropy rock physics modeling methods, the modeling method includes: step S1: the physical property and elastic parameter of rock are collected, and scale of simulation is defined;Step S2: according to the number of laminated strip and average tortuosity, generate laminated layer with different tortuosity;Step S3: the probability distribution value of each laminated layer different inclination range is calculated using statistical probability method;Step S4: the equivalent elastic modulus of each laminated layer is calculated;Step S5: the elastic stiffness coefficient matrix of laminated mixture is calculated;Step S6: the elastic stiffness coefficient matrix of laminated shale is calculated, and longitudinal wave velocity and anisotropy parameter are calculated;Step S7: to laminated shale inherent anisotropy rock physics simulation.The VTI property of shale background matrix and laminated mixture is combined, and the rock physics simulation of laminated shale inherent anisotropy is more accurate and more reliable.

The invention provides an evaluation method for a disconnection control type fracture-cavity oil reservoir inter-well communication mode, and relates to the technical field of oil and gas development engineering. The evaluation method comprises the following steps: calculating an oil well detection distance xinv of a plane linear flow according to data information of an interference well test; defining and calculating inter-well tortuosity tau well according to an oil well detection distance xinv; defining and calculating the critical tortuosity [tau] critical between wells according to the spatial characteristics of the wells; according to the inter-well tortuosity tau well and the critical tortuosity tau critical, the inter-well communication mode is judged, and direct communication or indirect communication is judged. And then the method is verified in combination with an oil reservoir numerical simulation method. According to the method, the direct connectivity and the indirect connectivity between the oil reservoir wells are accurately judged, and the problem that whether the connectivity between the fault control type fracture-cavity oil reservoir wells is direct connectivity or indirect connectivity cannot be judged in the prior art is solved.

The present application provides a kind of oil shale pyrolysis reaction analysis method and system, it is related to oil shale pyrolysis simulation technical field, the present application is first based on the fractal porous medium transport theory calculation fractal tortuosity factor, to accurately depict micro-pore structure;Using weighted least squares inversion first-order reaction parameter vector, guarantee the accuracy of kinetic parameters;Combined with semi-coke cumulative mass to construct dynamic permeability model, quantifies the pore blockage effect caused by solid deposition;Established with heavy oil residence time as the core secondary cracking rate model, restores the secondary loss process of heavy oil in low-permeability environment;Using explicit time step algorithm step by step to solve mass conservation equation, realize heat-flow-hydrolysis multi-field coupling and the fidelity simulation of component evolution;Finally, based on product deterioration index determines the optimal fracturing time, provides scientific engineering decision basis for in-situ exploitation, reduces resource waste.

This invention discloses a multi-parameter statistical matching rhizosphere soil microfluidic chip device and its construction method, belonging to the field of soil microfluidics and porous media visualization technology. The device includes a glass slide, a PDMS chip layer, a fluid inlet, an outlet, a branch-shaped flow distribution zone, a buffer zone, and a soil pore simulation zone, forming a heterogeneous pore network within the simulation zone. Based on real rhizosphere soil CT images, the method extracts pore diameter, pore throat width, porosity, tortuosity, and Euler number. A network skeleton is generated using a random seed lattice and polygon segmentation, combined with probability density sampling and iterative optimization, to match the chip to real soil in terms of pore / throat size distribution, porosity, tortuosity, and connectivity. Results show that the KS distances for pore diameter and pore throat width distributions are 0.0142 and 0.0010, respectively, and the porosity is approximately 0.15. This provides a visualization platform for studying gas migration and micro-seepage in rhizosphere soil.