118 results about "Fracture type" patented technology

The invention discloses a test device and method for blocking rock fractures by a soybean urease induced calcium carbonate deposition technology, the test device comprises a sample, a fracture simulation assembly and a slurry sealing assembly, the sample is composed of an upper rock test block and a lower rock test block; the fracture simulation assembly can simulate two kinds of rock fracture surfaces with different opening degrees. The test sample adopts an upper rock test block made of a transparent material to realize visualization in a test process; the upper shear box and the lower shear box are used for simulating a tension type fracture and a shear fracture surface of a rock, so that the condition that soybean urease induces calcium carbonate to deposit in different rock fracture generation mechanisms to block and reduce permeability of the rock fracture is better tested; when the lower shear box horizontally moves, the lower shear box is sealed through the slurry sealing assembly, and the sealing state can be kept in the shear dislocation of the crack; the device can test the relationship between the soybean urease induced calcium carbonate deposition plugging and permeation reducing effect and the rock fracture type and fracture parameters.

The invention relates to a guiding type improved neural network ankle joint fracture classification method, system and device, and belongs to the field of computer-aided medical image processing.The classification method comprises the steps that S1, database images are collected and enhanced; s2, training a segmentation network model by using the segmentation data marked with the fibula region; s3, inputting the fracture type classification data into the trained segmentation network model, predicting a fibula area, and taking a prediction result as guidance to act on the improved neural network classification model; s4, inputting the fracture type classification data into the improved neural network classification model guided by the prediction result for training; and S5, verifying a classification result by using a test set, and evaluating the model by using a statistical index. The ankle joint fracture type can be judged, the method has the advantages of being high in diagnosis accuracy, high in speed and the like, and the problem that a traditional deep learning method is prone to being interfered by other information in images in the medical field to make misjudgment is effectively solved.

The invention provides a fracture reduction path auxiliary planning method and system based on an augmented reality technology, and relates to the technical field of intelligent medical systems. The method comprises the following steps: acquiring fracture image data for a fracture area of a patient, wherein the fracture image data comprises CT data and X-ray data; reconstructing a fracture part three-dimensional model based on the fracture part image data; matching and calibrating the three-dimensional model of the fracture part and the fracture area of the patient in the actual scene; the calibrated three-dimensional model of the fracture part and the corresponding fracture type and fracture operation requirements are input into a fracture reduction path planning model to determine at least one corresponding optimized fracture reduction path, and the fracture reduction path planning model comprises a reinforcement learning module and a multi-physics field simulation optimization module which are cascaded; and rendering each fracture reduction path, and determining a target fracture reduction path according to the detected interaction instruction. Therefore, the augmented reality technology is applied to the fracture reduction scene, and the success rate of the operation and the postoperative rehabilitation effect of the patient can be improved.

The invention discloses a tight sandstone gas reservoir logging scale fracture development evaluation method, and relates to the field of earth exploration physics, and the method comprises the steps: carrying out the inversion based on a complex pore structure high-angle fracture type rock physical model and actual logging data through employing a simulated annealing particle swarm algorithm, and obtaining two groups of fracture density parameters in a well; respectively calculating crack density identification factors under different rotation angles; based on a correlation coefficient between the Poisson impedance and the fracture density under different rotation angles, determining an optimal rotation angle when the correlation coefficient reaches a maximum value; calculating a crack density identification factor under the optimal rotation angle by combining longitudinal wave impedance and transverse wave impedance data; and applying the fracture density identification factor under the optimal rotation angle to actual logging data, and representing fracture development. The method can effectively distinguish and quantify multiple groups of high-angle fractures developed in the tight sandstone reservoir, significantly improve the prediction precision and reliability of the fractured reservoir, and provide a key basis for reservoir sweet spot prediction and well location deployment.

The invention discloses a thoracolumbar vertebral fracture rapid typing auxiliary judgment system based on deep learning. The thoracolumbar vertebral fracture rapid typing auxiliary judgment system comprises a data preprocessing module, an s-type model, a z-type model and an integrated decision unit. The s-type model and the z-type model are respectively used for performing feature extraction on the s-type image and the z-type image in the instance package through a deep learning model, and outputting a corresponding prediction result through a multi-instance learning aggregation method; and the integrated decision-making unit is used for training the s-type model and the z-type model and outputting the predicted thoracolumbar fracture type. According to the method, prediction is carried out by combining the s-type model and the z-type model, so that the accuracy of thoracolumbar fracture type prediction can be improved, and the model can obtain better performance in a complex medical image classification task.

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 provides a fracture image classification method based on segmentation guidance. The method comprises the following steps: acquiring fracture images and constructing a data set; segmenting the fracture image in the data set by using a segmentation model, and generating a binary segmentation image marking a fracture region and a normal region; constructing two feature extraction networks, and respectively performing feature extraction on the segmented fracture image and the fracture image before segmentation; fusing the extracted features by using a cross attention mechanism to obtain a fused feature map; training a classifier by using the feature map and the corresponding category label to obtain a fracture image classification model; and inputting a to-be-classified fracture image into the fracture image classification model to obtain category information of the fracture image. According to the invention, the segmentation result of the fracture image is used as auxiliary information to be introduced into the classification model through the segmentation guide classification method, and the segmentation information and the original image information are fused by using the cross attention mechanism, so that the recognition capability of the classification model on the fracture type is improved.

The invention relates to a metal fracture image semantic segmentation method and device based on transfer learning. The method comprises the following steps: collecting metal fracture images of different fracture types as an image data set; performing semantic segmentation mask labeling and data enhancement processing on the metal fracture image in the image data set; preprocessing the image data sets of various fractures and then inputting the preprocessed image data sets into a migration image feature processing model to obtain low-resolution features; setting a training strategy of a fracture image semantic segmentation task; inputting the low-resolution features into a constructed semantic segmentation neural network for training so that a semantic segmentation neural network model can predict a segmentation result matched with the semantic segmentation mask label; and evaluating the deep neural network model obtained by transfer learning training. According to the method, high-accuracy semantic segmentation of different types of metal fracture images can be realized through small-scale data input and a short-period deep neural network training process.

The invention provides a GPR-based intelligent method for rock mass fracture distribution form identification and parameter inversion. The method comprises the following steps: a first stage: intelligently classifying fracture types; acquiring a ground penetrating radar B-scan image of the rock mass; data sets of different types of fractures are constructed, and intelligent classification of fracture types is realized by improving convolutional neural network (CNN) model training; a second stage: intelligently extracting fracture parameters; and based on the identified fracture distribution form, feature points on the B-scan image are extracted through deep learning, and then the position coordinates of the fracture are automatically calculated through a parameter inversion formula. The method is high in detection precision, strong in anti-interference performance and wide in engineering applicability.

The invention provides a fractured reservoir type evaluation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining conventional logging information of a fractured reservoir, and solving the total porosity PorT, matrix porosity PorB and fracture porosity PorFra of the reservoir according to a conventional method; calculating a fracture reservoir development index RECP, and defining reservoir development levels (class I, class II and class III) through the RECP value; calculating a reservoir type main control factor index ZKYS, and defining fracture development characteristics (a high angle, a low angle and a medium-high angle) through the ZKYS; and establishing a reservoir type evaluation method through a cross plot technology. According to the method, quantitative evaluation of the fracture type is achieved by applying a conventional logging method, the coincidence rate is high compared with imaging logging, the logging interpretation evaluation level of the fractured reservoir is improved, and the application range and prospect are quite wide.

A fracture reduction mechanism for minimally invasive pelvic fracture surgery, comprising a support assembly, a drive assembly, a self-rotating clamping assembly, and a healthy side fixation assembly, wherein the drive assembly comprises a synchronous rotation module (21), a first ball screw module (22), a second ball screw module (23), a third ball screw module (24), and an arc guide rail module (33); the mechanism forms a frame-like closed structure through connection with an operating table (1) via bedside rails (2) on both sides of the operating table (1), the support assembly and healthy side fixation assembly are slidably connected with the bedside rails (2). By manually adjusting the linear movement distances and fixed-axis rotation angles of the above mechanism, six degrees of freedom translation and rotation of the pelvic fracture block can be achieved. The mechanism features high rigidity and load-bearing capacity, good portability, simple assembly and operation, high motion precision, and its motion center is a virtual point in space, the position of which can be adjusted according to patient position and fracture type, providing convenience for surgery.

The utility model discloses a test device for blocking rock fractures by soybean urease induced calcium carbonate deposition, which comprises a sample, a fracture simulation component and a slurry sealing component, and the sample consists of an upper rock test block and a lower rock test block; the fracture simulation assembly can simulate two kinds of rock fracture surfaces with different opening degrees. The test sample adopts an upper rock test block made of a transparent material to realize visualization in a test process; the upper shear box and the lower shear box are used for simulating a tension type fracture and a shear fracture surface of a rock, so that the condition that soybean urease induces calcium carbonate to deposit in different rock fracture generation mechanisms to block and reduce permeability of the rock fracture is better tested; when the lower shear box horizontally moves, the lower shear box is sealed through the slurry sealing assembly, and the sealing state can be kept in the shear dislocation of the crack; the device can test the relationship between the soybean urease induced calcium carbonate deposition plugging and permeation reducing effect and the rock fracture type and fracture parameters.

The invention is suitable for the technical field of geological monitoring, and provides a dangerous rock crack feature extraction method and system based on a live-action three-dimensional model, and the method comprises the following steps: carrying out the collection based on an oblique photography camera to obtain multi-view image data, and carrying out the collection based on a laser radar to obtain point cloud data; determining an oblique photography model based on the multi-view image data, determining a laser radar point cloud model based on the point cloud data, and obtaining a three-dimensional model of the dangerous rock area; performing crack identification on the three-dimensional model through an edge detection algorithm, and extracting crack types and crack geometric features through a deep learning algorithm; and geological background data are called, and a risk assessment index system is established according to the geological background data, the crack type and the crack geometric characteristics. According to the method, the high-precision live-action three-dimensional model is constructed, the limitation of a single data source on precision, details and coverage range is overcome through multi-source data fusion, and the integrity and accuracy of the three-dimensional model are remarkably improved.

The invention discloses a reservoir fracturing transformation fracture and stress joint inversion and effect evaluation method and system, and the method comprises the following steps: carrying out the real-time micro-seismic monitoring, and obtaining a micro-seismic data set; according to the obtained micro-seismic data set, fracture seismic source mechanism inversion is carried out, fracture pyrogenic dynamic fracture parameters of the reservoir space are obtained, the fracture rupture moment tensor is calculated through the dynamic fracture parameters, and the fracture rupture type is recognized according to the positive and negative characteristics of the fracture rupture moment tensor; carrying out stress inversion on the shear fracture through a fracture stress inversion method assumed by Bott for the shear fracture; carrying out stress inversion on the fractures of tension and compression fracture types by utilizing a corrected fracture stress inversion method; constructing a fracture instability coefficient model, and analyzing the instability of the fracture according to the seismic source of fracture and stress inversion data; an evaluation model of the fracture reservoir transformation effect is established through a multi-dimensional target reservoir transformation effect evaluation method, and the reservoir fracture transformation effect is quantitatively evaluated.

The invention belongs to the technical field of rock mass engineering and oil and gas resource development, and discloses a hydraulic fracture monitoring method based on pump injection curve fluctuation frequency. According to the hydraulic fracture monitoring method, in the on-site fracturing process, the expansion degree and the fracture type of the hydraulic fracture in the reservoir are preliminarily judged by comparing the fluctuation degree of the on-site pump injection curve monitored in real time with the fluctuation degree of the test pump injection curve. According to the corresponding relation between the fluctuation degree of the pumping curve and the hydraulic fracture obtained through the method, the expansion degree and the fracture type of the hydraulic fracture in a fracturing site can be economically and efficiently judged, and the problems that fracture monitoring in previous fracturing engineering is greatly influenced by the environment and high in cost are solved. Therefore, the method can reduce the time and economic cost of hydraulic fracture field monitoring, and provides reference for unconventional oil and gas exploitation design and evaluation.

The invention provides a femoral trochanter fracture type classification method. The method comprises the following steps: preprocessing an image data set; performing feature extraction on the image data by using an SIFT algorithm; performing feature extraction on the image data by using a DenseNet model; fusing the key point features and the deep features; and classifying the fused features. The method has the beneficial effects that the SIFT algorithm is combined with the DenseNet deep learning model, SIFT focuses on extracting local features in the image and has strong rotation and zoom invariance, and DenseNet captures more complex global features through dense connection characteristics, so that the overall structure and context information of the image are understood; according to the weighted fusion strategy, the model can dynamically adjust the weights of different features according to data characteristics and training stages, the adaptability of the model to different types of fracture features is enhanced, the model can make more accurate classification judgment through reasonable combination of local and global features no matter simple fracture or complex fracture, and the classification accuracy is improved. And the generalization ability of the model is improved.

The invention provides a medical diagnosis guide method and system based on a knowledge graph. According to the method, physical sign data of emergency orthopedic patients and processing precision data of orthopedic implants are obtained, the physical sign data and the processing precision data comprise dimensional tolerance, surface roughness, material strength and other parameters, the physical sign data and the processing precision data are subjected to multi-modal association according to fracture types, and a dynamic knowledge graph containing patient skeleton features, implant processing precision and inventory state nodes is constructed; and a dynamic priority queue is set. And based on the dynamic knowledge graph, matching the fracture characteristics of the patient with the precision requirement of the implant, and generating a hospital guide path set covering the surgical plan compatibility, the resource topological relation and the postoperative risk prediction. And when the implant processing precision or the inventory state changes, the system triggers priority queue reconstruction, and the hospital guide path set information is updated in real time. According to the technical scheme provided by the invention, the efficiency and precision of medical diagnosis guide can be improved.

The invention provides a positioning auxiliary method and device for femoral neck fracture reduction and electronic equipment, and relates to the technical field of medical treatment, and the method comprises the steps: obtaining three-dimensional image data of a femoral neck fracture part of a patient, and carrying out the image preprocessing of the three-dimensional image data, and obtaining first point cloud data after noise removal; performing feature extraction processing on the first point cloud data through a preset point cloud data segmentation network, determining a local feature corresponding to each pixel point, and determining a target implantation path of the internal fixture according to the local features, the fracture type and the fracture position; second point cloud data of the surgical area in the surgical process are obtained in real time, point cloud registration processing is conducted on the second point cloud data, the second point cloud data coincide with the first point cloud data, the internal fixture is implanted along the target implantation path, and femoral neck fracture reduction is completed. The femoral neck fracture reduction difficulty can be remarkably reduced, the reduction accuracy is improved, and therefore injuries caused in the reduction process are reduced.

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 provides a preoperative incision positioning device for spine minimally invasive surgery aiming at different fracture types, and belongs to the technical field of medical equipment. Comprising a mounting box, a notched gear ring is slidably connected into the mounting box, an adjusting mechanism used for adjusting the position of the notched gear ring is arranged in the mounting box, the two ends of the notched gear ring are fixedly connected with mounting bases respectively, and the lower end face of the mounting base on the upper side is fixedly connected with a detector; through the detector, the X-ray source and the positioning mechanism, real-time imaging of the spine of a patient is achieved, laser indication can be automatically conducted on an incision positioning point, medical staff can accurately position and mark the incision position, accurate positioning of the spine minimally invasive surgery incision is achieved, the positioning error is reduced, and the accuracy of the spine minimally invasive surgery incision is improved. The success rate and safety of the operation are improved, and the problems of poor positioning efficiency and precision in the prior art are solved.

The invention relates to the technical field of oil and gas field development, in particular to a shale gas well fracturing parameter optimization method and device based on pump stop pressure drop, and the method comprises the steps that fracturing construction parameters of a fracturing section are obtained; obtaining fracture network interpretation parameters and SRV parameters; obtaining production logging monitoring data of the fracturing section; according to the crack type of the fracturing section, the fracturing section is calibrated as a matrix section, a micro crack section and a bending section; the method comprises the following steps: respectively calling parameters for fracturing sections classified into a matrix section, a microfracture section and a bending section, forming an arrangement of two fracturing sections according to production logging monitoring data in the parameters and the numerical value of an SRV parameter, and screening out a plurality of fracturing sections located in a specified sorting interval in the two arrangements, and fracturing construction parameters are respectively used as preferable parameters of a matrix section, a microfracture section or a bending section. And subsequently, in a shale gas well fracturing section under the same geological background condition, fracturing parameter design can be carried out by referring to the optimal fracturing parameter range.

The application discloses a three-axis motion parallel reset mechanism for closed reset of a pelvic fracture, which comprises a sick side pelvic fracture reset robot and a healthy side fixing device, and the sick side pelvic fracture reset robot comprises a movable base, a three-axis moving device, a three-axis rotating device, a reset force detecting device and a sick side screw holding device. Through the above structure, six-degree-of-freedom translation and rotation of a fracture block can be realized, and the reset force change can be monitored in real time, thereby providing a guarantee for operation safety. The three-axis rotating device is connected in series through a U-shaped frame, has a smaller space occupation than a traditional ball pair, can be close to the upper surface of a human body during reset, has a short force arm and can provide a larger reset force. The robot has the advantages of compact structure, high precision, large load force, high flexibility, large working space, a spatial virtual point as a motion center, adjustable position according to a patient and a fracture type and convenient operation.

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.

The utility model relates to a portable fixing splint for field operation nursing, which comprises a fixing outer plate, an inner clamping piece is arranged on the inner side of the fixing outer plate, an adjusting mechanism is arranged between the fixing outer plate and the inner clamping piece, and the left side and the right side of the fixing outer plate are fixedly provided with accommodating blocks. Mounting blocks are fixedly mounted at the ends, away from the two containing blocks, of the left side and the right side of the fixing outer plate, splicing mechanisms are arranged in the two containing blocks, and four binding bands are fixedly mounted at the top of the fixing outer plate. The splicing mechanism comprises a fixing rod fixedly installed between the left inner wall and the right inner wall of the containing block, the middle of the outer surface of the fixing rod is sleeved with a spring, and sleeves are fixedly installed at the two ends of the two springs. According to the portable fixing splint for field operation nursing, by arranging the splicing mechanism, two or more fixing splints can be spliced for use according to the actual requirements of the wounded, so that patients of various body types and different fracture types can be used.

The utility model relates to the technical field of bone fracture plates, and discloses a novel bone fracture plate which comprises a main plate, the bottom face of the main plate is fixedly connected with an extending assembly, and the two sides of the main plate are fixedly connected with fixing assemblies. According to the novel bone fracture plate, through the arrangement of the reinforcing assembly and the extending assembly, when the novel bone fracture plate is used, a patient additionally installs a reinforcing plate in the main plate according to the required situation, the reinforcing plate can be conveniently replaced by pulling a pull ring, the bone can be fixed and reinforced around the fracture part, the fracture part is prevented from shifting or deforming, stronger support is provided, and the fracture can be healed more quickly; meanwhile, the extrusion block is pressed, the extrusion block extrudes the limiting spring, the extension plate is pulled, the limiting spring resets from the interior of the limiting hole, and therefore the extension plate is limited and can be used for adjusting alignment of the fractures, the fractured parts can be better aligned and kept at the correct position, and the fracture positioning accuracy is improved. The requirements of different fracture types and severity degrees are met.

The invention discloses a method and system for determining the fracture evolution process of hard rock containing microfractures, and belongs to the technical field of rock mechanical testing. Digital speckle images of a DIC test observation surface of a hard rock sample in the loading process of an indoor mechanical test are collected in real time by determining the DIC test observation surface of the hard rock sample; by determining a surface displacement field of the hard rock sample, a displacement vector diagram of microscopic particle points of the digital speckle image is obtained, and the type of new cracks is judged; a plurality of displacement observation points are calibrated on the two sides of the native microfracture, and the fracture types of the displacement observation points are determined by judging whether tangential displacement and normal displacement of the displacement observation points are separated or not; and according to the type of the new crack and the fracture type of the displacement observation point, determining the dynamic evolution process of the native micro-crack under the stress condition. According to the method, the dynamic evolution process of cracks from initiation to expansion can be accurately represented, and then the internal correlation between the spatial geometric characteristics of crack distribution and the hard rock fracture evolution mechanism is disclosed.

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 present invention relates to a combined reconstruction bone plate comprising a reconstruction plate, a connecting plate, and connecting screws. The reconstruction plate is provided with screw holes, and at least one end of the connecting plate is provided with a connecting head, which is provided with a connecting hole. The connecting screw can be assembled into the connecting hole and connected to any screw hole in the reconstruction plate. The present invention can be used in any combination according to the fracture type to achieve fixation of different fracture types, ensuring surgical effectiveness and excellent versatility.

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 invention discloses a carbonate rock fracture identification method and system based on image processing. The method comprises the steps that a high-definition unmanned aerial vehicle shooting device is adopted to collect a carbonate rock image in real time; according to the method, the high-definition unmanned aerial vehicle shooting equipment can be used for efficiently obtaining the real-time image of the carbonate rock in a large range, basic data are provided for subsequent analysis, the preprocessing step can improve the image quality and remove noise, and the image is segmented into crack areas which are easier to analyze. By analyzing and learning carbonate rock crack information in historical data, a neural network model can be constructed, the model can automatically identify and extract basic information such as the length, depth and width of cracks, on the other hand, understanding of different types of crack features is crucial to accurate identification of crack types, and through feature analysis, the accurate identification of crack types is realized. According to the method, the unique features of each crack type can be extracted to form a feature set, and the crack type in the image can be judged by calculating the similarity.