31 results about "Fracture type" patented technology

The invention discloses a three-section thighbone retrograde intramedullary nail, relates to the field of medical instruments, and provides a detachable and assembled three-section thighbone retrograde intramedullary nail aiming at the problems that an existing thighbone medial condyle retrograde intramedullary nail is poor in adaptability and insufficient in fixing strength. A main nail body of the intramedullary nail is composed of a head section, a middle section and a tail section, original spiral nested structures are adopted at the joints of the sections, and the three sections are tightly connected to form the complete and high-strength intramedullary nail by matching with the hollow interior design and penetrating a titanium cable into a medullary cavity for tightening and automatically rotating and matching the head section and the middle section of the main nail body. And medullary cavity structures and fracture types of different patients can be accurately matched. Compared with a traditional intramedullary nail, the intramedullary nail has the advantages that mounting convenience and structural stability are remarkably improved, intraoperative adjustment time can be shortened, the risk of injury to a medullary cavity of a patient is reduced, and an innovative solution is provided for personalized treatment of distal femur fractures.

The invention relates to a method for predicting fracture development laws of carbonate rocks with different lithologies, which comprises the following steps of: performing lithology division on a target layer of a research area, and analyzing fracture development characteristics with different lithologies; simulating fracture development conditions of different lithology under different confining pressures in different burial depth environments of the research area through a rock compression experiment to obtain fracture development laws of different lithology; identifying the lithology of each single well in the research area by using a well logging curve under core calibration to obtain a lithology interpretation result of each single well; the fracture development rules of different lithology are matched with the lithology interpretation result of each single well, and the fracture development condition of each single well target layer in the research area is obtained; and predicting the fracture development condition of the target stratum of the research area by utilizing a three-dimensional geologic modeling method according to the interpretation results of different lithology of the target stratum of each single well and the fracture development condition. According to the method, multiple means of actual petrology observation, indoor rock core experiments, well logging interpretation and three-dimensional modeling are combined, the development laws of carbonate rock fractures of different lithology on the ground and underground can be accurately predicted, a fractured reservoir development area can be found easily, and a reliable basis is provided for exploration deployment.

The invention discloses a fracturing crack type discrimination method and related equipment, and belongs to the technical field of oil exploitation, and the method comprises the steps: firstly, building a crack extension mode judgment model and a natural crack approximation angle range model according to ground stress parameters, rock strength parameters, imaging logging parameters and extension pressure judgment; according to the fracture extension mode judgment model, the fracture extension mode is judged, and then the fracturing fracture type is judged; when the fracture extension mode is judged to be a natural fracture activation mode, the type of a fracturing fracture is judged according to a natural fracture approximation angle range model; according to the method, an accurate crack extension mode and a natural crack approximation angle range model are constructed by integrating multi-dimensional parameters such as ground stress, rock strength, imaging logging and extension pressure, and the judgment precision of the fracturing crack type is effectively improved; the crack type is further refined by using the approximation angle range model, a more scientific and reasonable fracturing design basis is provided for oil and gas field development, the yield increasing effect is optimized, and the development cost is reduced.

This application provides a modular orthopedic device for fracture treatment, belonging to the field of orthopedic device technology. The device includes a fixation component, a locking component, and a connecting component. The fixation component has at least one first slot and at least one second slot, which communicate with each other. The locking component is accommodated within the first slot, and the connecting component is accommodated within the second slot and cooperates with the fixation component, allowing it to move or rotate relative to the fixation component. The locking component is used to lock the connecting component and the fixation component together. The connecting component can be a round rod, a polygonal rod, or a toothed connector, and the fixation component can include a toothed fixator, a ball-and-socket fixator, a ball-and-socket fixator, or a universal ball-and-socket fixator. This modular orthopedic device allows for flexible selection of component modules based on fracture type and soft tissue conditions, achieving precise, personalized, and minimally invasive fracture treatment, filling the technological gap between bone plate systems, intramedullary nail systems, and external fixation systems.

The invention provides a frequency-varying azimuth anisotropy seismic response characteristic analysis method for a complex fractured reservoir, and belongs to the technical field of oil and gas development, and the method comprises the steps: constructing an equivalent medium model which comprises a plurality of groups of vertical-vertical orthogonal fractures and is partially saturated with fluid in the fractures based on a Chapman multi-scale fractured medium theory; based on the model, frequency variation and azimuth anisotropy stiffness matrixes are deduced, the frequency variation azimuth stiffness matrix is embedded into the anisotropy reflectivity theory, and the PP wave frequency variation azimuth seismic forward modeling method is provided. And finally, respectively designing a single interface and thin layer reflection model, analyzing fracture geometric parameters (density, radius and porosity), partial saturated fluid parameters (saturation and plaque parameters), a PP wave frequency change reflection coefficient under a thin layer thickness change condition and a seismic azimuth response change rule thereof, and revealing control factors of frequency change azimuth response of the fractured reservoir. And a revolutionary numerical simulation method is provided for sweet spot prediction and fluid identification of the complex fractured reservoir.

The utility model provides a multi-row nail hole locking type metal bone fracture plate, which relates to the technical field of medical instruments and comprises a bone fracture plate a, a bone fracture plate b is symmetrically arranged on one side of the bone fracture plate a, an extension plate is fixedly connected to one end, close to the bone fracture plate b, of the bone fracture plate a, and a storage groove matched with the extension plate for use is formed in one side of the bone fracture plate b. The top and the bottom of the bone fracture plate a and the top and the bottom of the bone fracture plate b are each provided with two bone holding claws. The bone fracture plate a is pulled to drive the extension plate to move out of the storage groove, and then the bone fracture plate a and the bone fracture plate b are extended, so that the length of the bone fracture plate can be adjusted to better adapt to individual differences according to different bone sizes, fracture types and operation requirements of patients, and bolts are screwed out to relieve fixation of the sliding blocks; the bone holding claws are moved to drive the sliding blocks to move in the sliding grooves, so that the distance between the rib bone holding claws is adjusted according to the actual fracture condition, the sliding blocks are prevented from falling off from the sliding grooves through the arrangement of the guide blocks and the guide grooves, and the sliding blocks can move horizontally.

The present application relates to a kind of fracture type buried hill reservoir skin coefficient system decomposition method, comprising: step A.Combined with the calculation method of various types of dynamic and static skin coefficient of fracture type buried hill reservoir characteristics constitutes total skin;Step B.Based on the test data of test well, total skin coefficient of test well is obtained using pressure recovery well test interpretation method;Step C.According to the well condition of test well, the main dynamic and static skin coefficient constituting total skin coefficient of test well is determined;Step D.The method of step A is used to calculate the skin coefficient type determined in step C, to realize the skin decomposition of test well, and to clarify the composition of various skin coefficients of test well.The present application can accurately obtain the size of various skin coefficients of test well in fracture type buried hill reservoir, and provide guidance for further stimulation operation.

The invention relates to a method and a device for calculating a mass exchange coefficient between bedrock and a fracture in an underground reservoir, and belongs to the technical field of seepage simulation of fracture type underground reservoirs. The method for calculating the mass exchange coefficient between the bedrock and the fracture in the underground reservoir comprises the following steps: performing embedded grid division on a bedrock region and a fracture region in the underground reservoir, and determining a connection pair between a fracture grid and a bedrock grid; based on the permeability of the bedrock grid corresponding to the connection pair, determining a Green element function under a bedrock grid permeability main axis coordinate system; source item coordinates in the Green element function are used as variables, integration is conducted on the Green element function along the fracture grids belonging to the same connection pair, and a pressure response function is determined; and based on the pressure response function, determining the conductivity between the bedrock grid and the fracture grid corresponding to the connection pair. According to the method, the calculation precision of mass exchange between the bedrock and the fracture in seepage simulation of the embedded discrete fracture model can be remarkably improved.

The invention discloses a fracture development orientation prediction 90-degree ambiguity weakening method, electronic equipment, a storage medium and a fracture development orientation prediction 90-degree ambiguity weakening device. The method comprises the following steps: determining influence factors causing 90-degree fuzziness of fracture development orientation prediction based on an orientation elastic wave impedance equation; analyzing the influence factors based on a fracture orientation interpretation result of logging data or geological data and a fracture-induced orientation anisotropy model; and determining a strategy for weakening the 90-degree fuzziness of fracture development orientation prediction based on an analysis result. According to the method, starting from a root cause for generating fracture development orientation to predict 90-degree fuzziness, a mapping relation between a fracture orientation prediction result and fracture type reservoir geophysical parameters and combinations thereof is researched through model testing, and a strategy for weakening fracture development orientation to predict 90-degree fuzziness is determined through the mapping relation. Fracture orientation prediction with 90-degree ambiguity weakened is achieved, and reliability of fracture orientation seismic description is improved.

The invention discloses a thoracolumbar vertebra fracture detection method and system based on sequence modeling and a prior graph, and the method comprises the steps: obtaining thoracolumbar vertebra CT volume data and fracture type truth value label data, carrying out the preprocessing, and constructing a training set and a test set; and constructing a fracture detection multi-branch classification network model, training and testing the constructed fracture detection multi-branch classification network model by using the training set and the test set, preprocessing thoracolumbar vertebra CT body data of a to-be-detected patient, inputting the preprocessed thoracolumbar vertebra CT body data into the trained fracture detection multi-branch classification network model, and outputting a fracture type classification prediction result. By designing an end-to-end framework of an image feature branch, a label relation branch and a branch fusion module, the problems that in the prior art, continuity of a vertebral body structure is deficient, long-range dependence is insufficient, feature fusion is insufficient and the like are solved, and accurate detection and refined classification of thoracolumbar vertebral fractures are achieved.

The invention relates to the technical field of orthopedic trauma operation internal fixation, and discloses an orthopedic reduction nail locking device which comprises a first steel plate and a second steel plate which are symmetrically arranged. A plurality of groups of local threaded holes are formed in the first steel plate and the second steel plate, and screws are arranged on the local threaded holes; the orthopedic reduction screw locking device has the remarkable advantages that screws are accurately matched with local threaded holes, positioning is achieved through the conical bottom, screw deviation is eradicated, and pressurization failure and harmful stress are avoided; the independent pressurization moving assembly is matched with the L-shaped limiting plate, pressurization force transmission is uniform and controllable, and it is guaranteed that the fracture broken end is accurately attached and stably fixed; local threaded holes can be vertically or obliquely designed to adapt to different fracture types, the hexagonal groove design enables operation to be convenient and labor-saving, operation difficulty is greatly reduced, and a safe and efficient fixing scheme is provided for orthopedic trauma operations.

The application provides a volcanic rock matrix-fracture double medium type oil reservoir evaluation method and system, and belongs to the technical field of geological engineering, oil reservoir technology and well logging interpretation.The application establishes a matrix porosity calculation chart by core calibration logging, adds a fracture pore as a conductive channel in an Archie sandstone conductive model, deduces fracture porosity, and finally combines the matrix pore, the fracture pore, the oil saturation and the oil test result to form a matrix-fracture type double medium oil and gas reservoir quantitative identification method.The application fills the gap of the research on the matrix and the fracture at the same time, improves the oil reservoir identification precision, and is more strict and reasonable in the identification standard, and is high in reliability.

The invention relates to a design method of a proximal fibula intramedullary nail based on computer simulation. Comprising the following steps: constructing a three-dimensional digital model of near-end and surrounding tissues of fibula based on CT scanning data of a patient, and accurately marking common peroneal nerve walking, skeleton morphological characteristics and fracture types; simulating stress distribution data of the fracture part by using a finite element analysis method; in combination with the three-dimensional model and the stress distribution data, a personalized intramedullary nail model matched with the proximal curvature, length and internal structure of the individual fibula is generated through parameterized design; and planning a minimally invasive implantation path of the intramedullary nail in a computer simulation environment, and generating matched implantation path data to guide an operation. Compared with the prior art, three-dimensional anatomical modeling, finite element analysis and parametric design technologies are creatively integrated, a complete personalized intramedullary nail design system is established, and the matching precision, fixing stability and operation safety of instruments and bones are effectively improved.

A method for auxiliarily planning a fracture reduction path based on an augmented reality technology includes: obtaining fracture image data for a fracture area of a patient, the fracture image data including computer tomography (CT) data and X-ray data; reconstructing a three-dimensional model of a fracture part based on the fracture image data; matching and calibrating the three-dimensional model of the fracture part based on the fracture area of the patient in an actual scene; inputting a calibrated three-dimensional model of the fracture part and a corresponding fracture type and fracture surgery requirement into a fracture reduction path planning model to determine at least one corresponding optimized fracture reduction path, where the fracture reduction path planning model includes a cascaded reinforcement learning (RL) module and a multi-physics field simulation optimization module; and rendering each fracture reduction path, and determining a target fracture reduction path according to a detected interactive instruction.

The invention provides a characterization method for development degrees of natural fractures of different scales, relates to the field of oil exploitation, and aims to comprehensively and accurately characterize the development degrees of the natural fractures of different scales, especially to solve the problem of small and micro fractures in shale oil reservoirs. The method is realized through the following steps of: firstly, dividing crack types based on core observation in combination with a focused ion beam-scanning electron microscope technology; secondly, analyzing response characteristics of the cracks in electric imaging logging, array acoustic logging and conventional logging; thirdly, constructing a crack identification sample library containing the features; and finally, constructing an intelligent crack evaluation model by applying a grey correlation algorithm to obtain a crack development index. According to the method, large-scale structural cause cracks and tiny non-structural cause cracks are distinguished, crack classification can be refined, the recognition capacity is complemented through multiple well logging technologies, and the recognition precision is improved. Compared with the prior art, the method has the advantages that the accuracy of crack identification is greatly enhanced, and reservoir assessment and fracturing design are optimized.

This invention provides a non-equilibrium grouting method based on the multi-dimensional characteristics of tunnel rock mass. By constructing a technical system that integrates multi-dimensional geological feature identification and model-based decision-making, it achieves precise and intelligent grouting control for complex fractured rock masses in tunnels. First, fractures are comprehensively classified based on their width, connectivity, and filling state, forming spatial distribution data. This transforms geological conditions into structured, spatially locatable digital information, providing precise target objects for grouting construction. Then, through a grouting parameter decision model, the current fracture type is automatically mapped to a strictly matching combination of grout mix ratio, grouting pressure, and grouting rate, achieving intelligent and standardized decision-making from geological features to construction parameters. This process solidifies mature experience and theoretical understanding into repeatable rules, ensuring a high degree of compatibility between the initial construction plan and the inherent hydraulic characteristics of the fractures, thereby significantly improving the targeting and controllability of grouting construction.

This application discloses a method and system for predicting fold-related fractures based on the principle of stress superposition, belonging to the field of geological analysis technology. The method includes: acquiring past 3D seismic data and past regional stress tensors of a region, and constructing a high-precision structural grid cell on the top surface of the target reservoir; based on the high-precision structural grid cell, determining the fracture type and fracture orientation according to the sliding window-least squares surface fitting joint method, the principle of stress superposition, and rock fracture criteria, thus obtaining a fracture prediction model; acquiring the current 3D seismic data and current regional stress tensor of the target region, and inputting them into the fracture prediction model to obtain the current fracture type and current fracture orientation. This application achieves accurate prediction of the type and orientation of fold-related fractures.

The application discloses a kind of based on target detection and graph attention mechanism's small fracture detection method and system, the method includes obtaining multiple time chest CT images, after image is preprocessed, with the chest CT image of labeling small fracture region is constructed training sample set;Small fracture detection model is trained using training sample set, image features are extracted using convolutional neural network, graph attention matrix is extracted by graph convolutional neural network, image features and graph attention matrix are combined to obtain final features, based on final features, in combination with YOLO target detection network, small fracture region prediction frame is output;The time chest CT image to be measured is input into the small fracture detection model that training is completed, and the small fracture region and fracture type are output, simultaneously, target tracking algorithm is used to optimize identification result, improve the accuracy of small fracture region identification, realize the accurate positioning of small fracture region in chest CT image.

The invention provides a method and device for depicting a complex structure deformation area and a medium, and relates to the technical field of oil exploration and development, and the method comprises the steps: recognizing different fracture types in the complex structure deformation area; determining the forming time sequence of the different fracture types; and based on the time sequence, returning a breakpoint of the complex structure deformation area so as to depict the complex structure deformation area. In this way, depiction of the complex structure area is systematically achieved, and reliable support is provided for oil and gas resource evaluation and exploration deployment.

The application discloses a reconstruction method and system for a complex fracture type water-containing oil and gas reservoir horizontal well, belongs to the field of fracturing reconstruction process technology of low-permeability tight oil and gas fields, and has the advantages that the development characteristics of a fracture zone are determined according to the sand body geological characteristics and seismic data of a horizontal well control area; the fracture type reservoir type corresponding to the position of each fracturing section in the direction of the horizontal well cylinder is determined according to the development characteristics of the fracture zone and the relative position relationship of the horizontal well; the differential fracturing process parameters of each fracturing section are determined according to the fracture type reservoir type and the effective fracture reconstruction range on both sides of the perforation points of the corresponding fracturing section, and fracturing reconstruction is carried out; the method is designed by avoiding the reconstruction method of the fracture zone, the water-containing layer of the fracture zone and the fracture-induced fracture is avoided, the probability of water outflow of the horizontal well is reduced, and the implementation effect of the segmented fracturing reconstruction of the water-containing oil and gas reservoir horizontal well is improved.

A simulation experiment method based on a fracture type seismic physical model, the method comprising: establishing a structure physical model according to relevant information of an actual formation in a research work area, and performing a simulation experiment to determine fracture distribution characteristic information; constructing a fracture type seismic physical model according to the fracture distribution characteristic information; performing data acquisition, data processing and data interpretation on the fracture type seismic physical model, and determining a fracture distribution rule; comparing and analyzing the fracture distribution rule determined by the fracture type seismic physical model with the fracture distribution characteristic information of the structure physical simulation experiment, and determining acquisition parameters of seismic data in the research work area.

The present application relates to the technical field of drilling data processing, and particularly relates to a drilling fracture type prediction method and system based on deep learning and a medium. The method comprises the following steps: obtaining a fracture scene original data set; training a generative adversarial network model based on the fracture scene original data set, generating a fracture enhanced sample set, and obtaining an expanded fracture image data set; performing multi-modal information fusion modeling on the expanded fracture image data set to obtain multi-modal fracture fusion feature data; constructing a fracture evolution time series model based on the multi-modal fracture fusion feature data to obtain time series evolution feature embedding data; and performing deep classification reasoning on the time series evolution feature embedding data to obtain fracture type prediction result data. Through image enhancement, multi-modal information fusion, time series evolution modeling and visual path rendering, the present application effectively improves the accuracy, robustness and dynamic adaptability of fracture type prediction, and enhances the interpretability of the results.

The invention discloses a fold-related crack prediction method and system based on a stress superposition principle, and relates to the technical field of geological analysis, and the method comprises the steps: obtaining the past three-dimensional seismic data and the past regional stress tensor of a region, and constructing a high-precision structural grid unit of the top surface of a target reservoir; based on a high-precision constructed grid unit, according to a sliding window-least square curved surface fitting combined method, a stress superposition principle and a rock fracture criterion, determining a crack type and a crack trend, and obtaining a crack prediction model; and obtaining current three-dimensional seismic data and a current area stress tensor of the target area, and inputting the current three-dimensional seismic data and the current area stress tensor into the crack prediction model to obtain a current crack type and a current crack trend. According to the invention, accurate prediction of the type and the trend of the fold-related crack is realized.

The invention relates to the technical field of crack research, and particularly discloses a method and system for evaluating the development degree of non-structural cracks of shale under multiple coupling factors, and the method comprises the steps: calculating the crack development index of the non-structural cracks of the shale; the fracture development index is a product of four indexes including fracture linear density, Poisson's ratio, brittle mineral component content and organic carbon content coefficient, and establishing a relation between the shale gas yield and the non-tectonic fracture development degree. When the fracture development index is less than or equal to 0.005, the fracture development degree is poor; when the fracture development index is 0.005-0.20, the fracture development degree is general; when the fracture development index is 0.20-0.55, the fracture development degree is good; and when the fracture development index is greater than or equal to 0.55, the fracture development degree is very good. According to the method, an experimental instrument and a testing technology are combined, the testing precision is higher, the fracture development index evaluation error of a single factor is reduced, and the actual requirements of oil and gas exploration and development, especially fracture type and unconventional oil and gas exploration and development can be better met.

According to the non-equilibrium grouting method based on the multi-dimensional characteristics of the tunnel rock mass, accurate and intelligent grouting control over the complex fractured rock mass of the tunnel is achieved by constructing a technical system integrating multi-dimensional geologic characteristic recognition and modeling decision. Firstly, according to the gap width, connectivity and filling state, cracks are comprehensively classified, spatial distribution data are formed, geological conditions are converted into structured and spatially locatable digital information, and an accurate target object is provided for grouting construction. And furthermore, through the grouting parameter decision model, the current fracture type is automatically mapped into a grout proportion, grouting pressure and grouting rate combination which are strictly matched with the current fracture type, and intelligent and standardized decision from geological features to construction parameters is realized. According to the process, mature experience and theoretical cognition are solidified into a rule capable of being repeatedly executed, it is ensured that the initial construction scheme is highly matched with the inherent hydraulic characteristics of the fractures, and therefore the pertinence and controllability of grouting construction are remarkably improved.

The invention belongs to the technical field of medical image processing and computer-aided diagnosis, and provides a child humerus supracondylar fracture typing auxiliary method based on a visual large model, which comprises the following steps: acquiring positive and lateral X-ray digital images of a child elbow joint; dimension standardization, lightweight non-local mean denoising, contrast limited adaptive histogram equalization, and Z-score gray normalization preprocessing are carried out; coarsely positioning the distal humerus through Yov8n, determining a bone main direction axis in combination with Canny edge detection and probabilistic Hough transform, and rotating and aligning to obtain a standardized ROI (Region of Interest); key point detection calculates geometric feature vectors such as a Baumann angle, a visual large model extracts a depth image feature vector, and an attention mechanism fuses the two; and the inference model obtains a preliminary Gartland typing probability according to the fused features, introduces child humerus development knowledge graph constraints, and finally outputs a typing probability. The child humerus supracondylar fracture Gardland typing auxiliary diagnosis method not only adapts to child skeletal development characteristics, but also improves the decision credibility through interpretable output, and achieves accurate and efficient auxiliary diagnosis of child humerus supracondylar fracture Gardland typing.

The invention discloses a metal material fracture morphology feature intelligent identification method and a system thereof, and belongs to the technical field of metal material failure analysis and image intelligent identification. The method comprises the following steps: carrying out multi-scale feature extraction on a fracture morphology image collected by a scanning electron microscope, and identifying eight types of microscopic features such as dimple, cleavage surface and fatigue stripe; five fracture types such as ductile fracture, brittle fracture and fatigue fracture are judged through a multi-label classification network, quantitative parameters such as dimple size distribution and fatigue stripe spacing are calculated, and a correlation model of fracture features and fracture mechanical parameters is established.

The application discloses a kind of compact sandstone gas reservoir logging scale fracture development evaluation method, it is related to the field of earth exploration physics, including: based on complex pore structure high-angle fracture type rock physics model and actual logging data, two groups of fracture density parameters in well are obtained by using simulated annealing particle swarm algorithm inversion;Respectively calculate the fracture density identification factor under different rotation angles;Based on the correlation coefficient between Poisson impedance and fracture density under different rotation angles, determine the optimal rotation angle when the correlation coefficient reaches maximum;Combining longitudinal wave impedance and shear wave impedance data, calculate the fracture density identification factor under the optimal rotation angle;Fracture density identification factor under the optimal rotation angle is applied to actual logging data, and fracture development is characterized.The method can effectively distinguish and quantify the multiple sets of high-angle fractures developed in compact sandstone reservoir, significantly improve the prediction accuracy and reliability of fracture reservoir, and provide key basis for reservoir sweet spot prediction and well deployment.

The utility model relates to the technical field of orthopedic surgery, and discloses a calcaneus internal fixation screw placement guiding device which comprises a supporting frame, a guiding sleeve and a locking piece. The supporting frame is fixed to the skin surface of a patient and corresponds to the calcaneus in position. The supporting frame comprises a middle connecting block, a left positioning block, a right positioning block and an upper positioning block. The three guide sleeves are located in straight notches A formed in the left positioning block, the right positioning block and the upper positioning block respectively, the angle of the guide sleeves is adjusted in the straight notches, the guide sleeves are locked and positioned through locking pieces after angle adjustment, the angle of the guide sleeves can be adjusted, and the diameter and the position of a guide hole are designed according to the size and the path of an internal fixation screw; an operator can adjust the position of the guide arm or the guide rod according to fracture types and screw placement requirements. Through the virtual space bone nail planning path, the guiding device ensures that the screw can be accurately placed along the preset path, and the risk of operation errors is reduced.