541 results about "Shear waves" patented technology

The invention provides a multi-mode ultrasonic fusion pressure vessel weld defect nondestructive testing method and system, and relates to the technical field of nondestructive testing. According to the method, geometric parameters of a welding seam are obtained through three-dimensional laser scanning, and an optimal scanning parameter set is generated; driving ultrasonic phased array equipment to scan for one time and synchronously acquire shear wave full-matrix capture and longitudinal wave linear scanning data; performing energy flow angular spectrum analysis and envelope analysis on the bimodal data, extracting defect feature parameters and constructing a three-dimensional feature tensor; carrying out multi-dimensional feature fusion by adopting Tucker decomposition, and enhancing a core tensor through physical modeling; generating three types of defect indication diagrams including a defect existence possibility diagram, a defect relative scale diagram and a defect space orientation diagram from the enhanced feature tensor; and the three types of indication diagrams are visually presented for comprehensive interpretation of detection personnel. Through multi-modal data fusion and physical modeling enhancement, the defect identification accuracy and detection efficiency are remarkably improved, the false alarm rate is reduced, and reliable technical support is provided for pressure vessel welding seam safety detection.

The invention belongs to the technical field of geological information processing, and discloses a geological mineral exploration data extraction system which comprises the following steps: constructing an air-ground-hole three-in-one acquisition network, and respectively acquiring earth surface mineral spectrum data, seismic longitudinal wave and transverse wave reflection data and rock core main quantity and trace element composition data; processing the collected data to form a five-dimensional data cube containing space coordinates, spectrum parameters, physical property parameters, element parameters and time indexes, performing physical layer attribute extraction on the five-dimensional data cube, performing analysis to obtain a wave impedance value and a lithology category probability array, performing semantic layer attribute extraction on the five-dimensional data cube, and performing semantic layer attribute extraction on the five-dimensional data cube; an alteration type probability array is obtained through analysis, an alteration zoning graph layer is generated, the mineralization potential index and a five-dimensional data cube are fused, a four-dimensional dynamic database is constructed, a mineralization potential prediction graph layer and a drilling priority graph are generated based on the four-dimensional dynamic database, and therefore the decision-making level of ore body drilling deployment is improved.

The invention provides an airfield pavement detection method based on an earthquake background noise imaging technology, and relates to the technical field of airfield pavement detection. Comprising the following steps: acquiring seismic background noise data of an airport pavement to be measured; preprocessing the seismic background noise data to obtain preprocessed noise data; carrying out cross-correlation calculation on the preprocessed noise data and carrying out empirical Green function extraction; according to the empirical Green function, a surface wave group velocity frequency dispersion curve is extracted by adopting spatial autocorrelation and multiple filtering methods; inverting shear wave velocity distribution of each layer of the pavement based on the surface wave group velocity dispersion curve, and constructing a three-dimensional velocity model; determining a shear wave velocity distribution diagram according to the three-dimensional velocity model; and determining a detection result of the airfield pavement to be detected according to the transverse wave velocity distribution diagram. According to the invention, the problems of low detection precision and poor real-time performance of a common detection technology in the prior art are solved.

The invention relates to the technical field of medical elastography and material multi-scale mechanical measurement, in particular to an elastography method and system based on an instantaneous scattering displacement field, and the method comprises the steps: driving a passive / active method scattering displacement field excitation device through a frequency domain controllable sine wave signal, and generating a scattering displacement field on a target material, an instantaneous displacement field is obtained through high spatial resolution measurement, then sliding window local interception, two-dimensional autocorrelation calculation and nonlinear fitting based on the Rayleigh / shear wave spatial autocorrelation theory are performed on the single-frame instantaneous displacement field, shear wave velocity distribution is obtained, and then the viscoelasticity modulus of a target area is inverted to achieve comprehensive characterization of the viscoelasticity of the material. According to the scheme, the single-frame scattering displacement field is excited and collected, and the elasticity inversion is performed based on the instantaneous displacement field, so that the dependence of traditional elasticity imaging on high-frame-rate equipment is broken through, the material viscoelasticity evaluation can be efficiently completed at low cost, and the application prospect in the fields of clinical diagnosis and mechanical measurement is wide.

The invention discloses a transmission tower vulnerability analysis method and system based on seismic simulation, and belongs to the technical field of electric power facility disaster prevention, and the method comprises the steps: correcting bedrock seismic oscillation parameters based on equivalent shear wave velocity, and generating a high-precision earth surface PGA distribution diagram; automatically positioning a key node layer through eigenvalue decomposition, reducing the order of the three-dimensional model of the power transmission tower into a two-dimensional series multi-degree-of-freedom model, and outputting a layer mass vector, a condensation stiffness matrix and rod piece bending stiffness; performing time-history analysis by using the corrected PGA-driven reduced-order model to generate an earthquake damage probability; the multi-source remote sensing data and the PGA are fused, the landslide space probability is output through a deep learning model, and the impact strength and the landslide kinetic energy are calculated to judge the landslide damage probability; and based on the dual-threshold condition triggering probability union set, calculating a comprehensive damage probability, and generating a three-dimensional vulnerable curved surface. According to the method, the problems of high missing report rate and low calculation efficiency of single disaster assessment are solved, and minute-level accurate early warning of the composite disaster risk of the power transmission tower is realized.

The invention provides a petroleum drilling geomechanical characteristic estimation method based on deep learning, and aims to solve the problems of high measurement cost and poor real-time performance of shear wave velocity Vs in traditional geomechanical analysis by fusing logging while drilling LWD data and real-time drilling engineering parameters. According to the method, a Transformer model is adopted to carry out depth correction on logging-while-drilling data, depth offset of a drill bit and a logging sensor is eliminated, and real-time drilling parameters such as torque T, bit pressure WOB and drilling speed ROP are combined and input into a multi-layer perceptron MLP network to predict the shear wave speed Vs. And further calculating key geomechanical parameters based on the predicted shear wave velocity Vs. In practical application, the method improves the shear wave velocity prediction accuracy to 97.2%, the mean absolute error MAE of the shear modulus is reduced from 0.186 to 0.059, and the bulk modulus is reduced from 0.189 to 0.040. The method can be used for outputting stratum elastic parameters, optimizing bit pressure, pre-warning well wall instability and adjusting a well track, well drilling safety and efficiency are improved, and meanwhile dependence on an expensive well logging technology is reduced.

The invention relates to the technical field of computer modeling, in particular to an earthquake resistance and disaster reduction simulation system for a liquefiable foundation. The system comprises a cyclic stress ratio field analysis unit, an excess pore pressure ratio evolution analysis unit and a stress coupling correction unit, the cyclic stress ratio field analysis unit is used for generating a cyclic stress ratio field by using a depth reduction relation; the excess pore pressure ratio evolution analysis unit is used for deducing an excess pore pressure ratio and establishing an evolution relation of the excess pore pressure ratio along with time and depth; and the stress coupling correction unit is used for updating the effective vertical stress value based on the excess pore pressure ratio, synchronously correcting the shear modulus according to the coupling relationship between the shear wave velocity and the excess pore pressure ratio, and feeding back the corrected shear modulus to the excess pore pressure ratio evolution analysis unit. According to the method, the scientificity and engineering applicability of earthquake resistance and disaster reduction of the liquefiable foundation are effectively improved.

The invention relates to the technical field of medical care, in particular to a massage method for avoiding tissue damage through flexible mechanical conduction by Taoist massage, and discloses a massage method named'massage method for avoiding tissue damage through flexible mechanical conduction by Taoist massage '. The invention aims to solve the problems that the existing massage technology is easy to cause tissue damage due to force application rigidity, and the safety, the accuracy and the treatment depth of the massage technology are limited. The method is characterized in that a closed-loop system of tissue stress dynamic dispersion, layer-controlled shear wave guidance and biological impedance coupling feedback is adopted, traditional rigid force is converted into flexible conduction of low-frequency and small-amplitude transverse shear waves, and layer-by-layer, dispersion-type and non-invasive penetration of mechanical energy is achieved. By the adoption of the technical scheme, tissue damage can be effectively avoided, and the deep treatment effect and safety are improved.

The invention provides a tissue viscoelasticity calculation method and system based on wavelet transform, and the method comprises the steps: exciting and generating shear waves at a target region of a tissue, and extracting shear wave information; carrying out wavelet transformation on the shear wave information, and extracting frequency domain information in the shear wave information, so as to obtain time-frequency domain information of shear waves; taking any point on the transverse tangent plane as a target point, and performing cross-correlation between the time-frequency domain information of the target point and the time-frequency domain information of the other points by using a cross-correlation algorithm to obtain phase differences between the target point and the other points under different frequencies; determining phase velocities of shear waves under different frequencies according to phase differences between the time-frequency domain signals of the target point and the time-frequency domain signals of other points under different frequencies; and fitting the phase velocities of the shear waves under different frequencies to obtain a viscosity value and an elasticity value corresponding to the target area of the tissue. The method does not need to collect data for many times, reduces errors caused by data collection, and improves the mechanical characteristic calculation precision of the tissue.

The invention relates to the technical field of full-focusing phased arrays, and discloses an on-line automatic bar flaw detection method and device based on a full-focusing phased array technology. According to the method, after water immersion type coupling is carried out, array elements of a concave array phased array probe are excited in a plane wave emission mode, multi-angle acoustic beams are formed, and full-matrix echo data are captured; for transverse wave detection, the sound field uniformity is improved by adopting a grouped alternate emission mechanism. Full-domain dynamic focusing is realized through coherent superposition processing, and real-time alarm and mark spraying are carried out on standard exceeding defects in combination with encoder data. The device comprises an off-line automatic calibrator, a conveying roller way, a steel splitting instrument platform, a pinch roll system, a lifting transverse moving platform, an ultrasonic detection host, a mark spraying system, a water circulation system and a PLC system, and efficient and accurate on-line bar flaw detection is achieved.

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 provides an azimuth transverse wave remote detection data processing method, system and device and a medium. The method comprises the steps that an instrument is adopted to collect novel four-component transverse wave data (xx, xy, yx and yy) of a target well section; under a coordinate system (x, y) of the instrument, synthesizing an XX reflected wave signal with an angle defined relative to the x-axis direction of the instrument by using the orthogonal dipole four-component reflected signal, and defining the XX reflected wave signal as an angle when the reflected wave signal reaches the maximum amplitude; obtaining two cross component signals xy and yx by using novel four-component shear wave data (xx, xy, yx and yy), performing sliding windowing on the cross component signals xy and yx, performing Fourier transform on the signals in the window to obtain phase spectrums, and comparing the phase spectrums of the two cross component signals to obtain an actual phase difference; according to a novel four-component data combination mode, changing the orientation of the reflector, theoretically calculating the theoretical phase difference between the two cross component signals xy and yx, and establishing a rule chart of the cross component signals along with the orientation change of the reflector outside the well based on the theoretical phase difference; and judging the real azimuth angle of the reflector according to the rule plate.

One or more embodiments of the invention provide a Scholte wave frequency dispersion curve adaptive inversion method and a related device, and the method comprises the steps: obtaining and processing the original seismic data of a target seabed, and obtaining a Scholte wave frequency dispersion curve; constructing an initial shear wave velocity model through linear inversion based on a Schlte wave frequency dispersion curve; and performing fitting optimization on the Schlte wave frequency dispersion curve based on the initial shear wave velocity model to obtain a two-dimensional shear wave velocity profile. According to the technical scheme, the problem that a traditional linear inversion method depends on an initial model is solved, the calculation efficiency is remarkably improved, the problem of local extremum is avoided, and an automatic high-precision inversion solution suitable for batch data processing is provided for submarine seismic exploration.

The invention belongs to the technical field of medical imaging, and provides a tissue stress measurement method and system based on a reverberation shear wave field, and the method comprises the steps: applying steady-state harmonic excitation, and obtaining the reverberation shear wave field of a target tissue; determining a stress direction according to the prior information of the target tissue, and constructing a stress direction vector; constructing an analytic operator, and extracting an intermediate characteristic quantity of the reverberation shear wave field; and according to the intermediate characteristic quantity, combining stress direction inversion to reconstruct spatial stress distribution. According to the method, a complex reverberation wave field is modeled into superposition of multi-direction propagation wavelets by utilizing anisotropic propagation characteristics of shear waves and combining a traveling wave expansion model, and characteristic quantities related to local stress and material parameters are directly extracted from the reverberation wave field by designing a wave field operator with physical significance; the three technical problems existing in a traditional shear wave elastic imaging technology are solved, the dependence of a traditional method on a single propagation direction and wave pattern controllability is broken through, and in-situ, in-vivo and non-invasive quantification is achieved.

The invention discloses a shear wave velocity prediction method, device and equipment and a readable storage medium, and is applied to the technical field of geophysics, and the method comprises the steps: constructing a shear wave velocity prediction model in advance based on a KAN network and a sequence displacer; an activation function of the shear wave velocity prediction model is a B-spline primary function; obtaining logging data of the target area; and inputting the logging data into the shear wave velocity prediction model to obtain a prediction result. The shear wave velocity prediction model based on the KAN network has robustness and accuracy, the model is combined with a sequence displacer architecture to be fused with the KAN network to perform feature extraction, efficient modeling of logging data is realized through a dynamic weight fusion mechanism and a learnable B-spline basis function, and the prediction accuracy is improved. The model can be used in various large oil fields in a large scale, deals with various complex geological conditions and accurately predicts the shear wave velocity, so that the exploration and development risk is reduced, and the benefit development of each large oil field is guaranteed.

The invention discloses a tight sandstone shear wave prediction method based on a fluid saturation dual fracture coupling model, and relates to the technical field of earth exploration physics. According to the method, a saturated rock physical model containing two groups of vertical orthogonal fracture fluids is constructed based on a Chapman multi-scale fracture medium theory framework, and an inter-fracture fluid mass distribution function is introduced to construct a dual-fracture coupling model based on fluid saturation. According to the method, conventional logging information is used as prior information, a rock physical model is used as a drive, an actual longitudinal wave speed and a simulated transverse wave speed are used as nested constraint conditions, a transverse wave speed prediction objective function is constructed, the tight sandstone transverse wave speed and the reservoir multi-group fracture density are estimated, a simulated annealing particle swarm optimization algorithm is introduced, and the reservoir multi-group fracture density is predicted. And the global optimization capability and the local convergence efficiency are enhanced. According to the method, the shear wave velocity prediction error can be effectively reduced, meanwhile, reservoir microstructure parameters are provided, and effective support is provided for reservoir fluid property judgment, lithology accurate recognition and underground fracture system quantitative description.

The invention belongs to the technical field of surface wave frequency dispersion inversion, and particularly discloses a surface wave multi-modal frequency dispersion curve probability inversion method based on modal self-matching, which comprises the following steps of: dividing apparent frequency dispersion data points into two types, namely a basic modal data set and a higher modal data set; constructing a Bayesian equation for inverting multi-modal dispersion data in a non-likelihood inference method framework; establishing the similarity between the distance measurement quantized frequency dispersion data and the simulation sample, and appointing a method suitable for sampling; and representing the uncertainty of a multi-modal dispersion data inversion result (namely a shear wave velocity profile) based on the obtained posterior sample. According to the method, the uncertainty of the shear wave velocity profile obtained by inverting the Rayleigh wave multi-mode dispersion curve can be well quantified, the identifiability of the shear wave velocity profile is improved, and a wrong inversion result caused by misidentification of the mode is avoided by automatically matching the mode number.

The invention discloses a nondestructive testing method for the compressive strength of lightweight aggregate concrete based on an ultrasonic opposite testing method, and belongs to the field of engineering material testing, the method comprises the following steps: S1, detecting the ultrasonic transverse wave velocity and longitudinal wave velocity of each lightweight aggregate concrete reference piece; s2, calculating the equivalent bulk modulus of each lightweight aggregate concrete reference piece; s3, establishing a corrected KT model; s4, establishing a mapping relation equation set of the lightweight aggregate concrete reference piece and the corrected KT model, and optimizing and adjusting the corrected KT model; s5, the ultrasonic transverse wave velocity, the ultrasonic longitudinal wave velocity and the equivalent bulk modulus of the lightweight aggregate concrete test piece are obtained, and the volume fraction of the lightweight aggregate concrete test piece is calculated; and S6, calculating the compressive strength of the lightweight aggregate concrete test piece according to the volume fraction of the lightweight aggregate concrete test piece and the mapping relation between the mixing amount parameter and the compressive strength. The technical problem that the nondestructive testing error of the compressive strength of the lightweight aggregate concrete is relatively high is solved.

This invention discloses a quantitative evaluation method for the homogeneity of lightweight aggregate concrete based on rapid ultrasonic testing, belonging to the field of engineering materials testing technology. The method includes: S1, obtaining the shear wave velocity and longitudinal wave velocity at multiple test points of a series of lightweight aggregate concrete reference specimens; S2, calculating the shear modulus and bulk modulus at each test point of each reference specimen; S3, calculating the elastic modulus at each test point of each reference specimen; S4, constructing a relationship between the lightweight aggregate volume content, shear wave velocity, and longitudinal wave velocity based on the elastic modulus obtained in step S3; S5, obtaining the shear wave velocity and longitudinal wave velocity at each test point of the specimen to be tested, and calculating the lightweight aggregate volume content at each test point of the specimen to be tested based on the relationship; S6, evaluating the homogeneity of the specimen to be tested based on the lightweight aggregate volume content calculated in step S5. This invention solves the technical problem of insufficient accuracy in ultrasonic testing results for the homogeneity of lightweight aggregate concrete.

The invention relates to the technical field of marine geological engineering, in particular to a submarine geological parameter fused photovoltaic foundation construction resource allocation method which comprises the following steps: collecting submarine topographic data, rock-soil physical parameters and stratum bearing capacity parameters through a shipborne multi-beam sounding system, a submarine drilling sampling device and a static penetrometer; uniformly mapping various parameters to a three-dimensional geographic coordinate system, and constructing a standardized geological data cube; the stratum shear wave velocity, the standard penetration impact number and the water content are extracted, and a comprehensive geological rigidity index is calculated through fusion; according to index threshold values, three types of construction units of a hard rock area, a transition area and a soft soil area are divided, and a hydraulic impact hammer, a rotary drilling rig and a vibration pile sinking unit are matched; and when monitoring that the geological variation exceeds a set amplitude, automatically adjusting the configuration of equipment in an adjacent area, and generating a dynamic resource allocation scheme. According to the invention, precise configuration and intelligent scheduling of equipment under geological driving can be realized, and the efficiency and safety of submarine photovoltaic foundation construction are improved.

The invention belongs to the technical field of geophysical logging, and relates to a dipole shear wave velocity extraction method and system, and the method comprises the steps: processing obtained sound wave array waveform data of a target well section, and obtaining a frequency dispersion energy spectrum; frequency dispersion points in the frequency dispersion energy spectrum are extracted, clustered and screened to obtain a frequency dispersion point set; extracting an area of which the energy value is greater than a set energy threshold value in the frequency dispersion energy spectrum and processing the area into a frequency dispersion spectrum weight matrix; inputting the determined stratum and well hole parameters to be inverted into a pre-constructed frequency dispersion curve forward model to obtain a theoretical frequency dispersion curve; for each depth point, a joint error function is calculated based on the frequency dispersion point set, the frequency dispersion spectrum weight matrix and the theoretical frequency dispersion curve, and the shear wave speed contained in the stratum with the minimum joint error function and the well hole parameters serves as the shear wave speed of the current depth point; and arranging the shear wave velocity corresponding to each depth point of the target logging well section according to the depth to obtain a continuous stratum shear wave velocity profile. According to the invention, the dipole shear wave velocity can be rapidly and accurately obtained.

The invention discloses a directional shear wave excitation method based on a three-dimensional elastomer, and belongs to the field of directional shear wave excitation, and the method comprises the following steps: S1, determining a material attribute and a coordinate system of a detected three-dimensional elastomer; s2, longitudinal waves and shear waves are calculated in combination with material attributes, and the wave velocities are determined; s3, solving a control equation of the isotropic infinite three-dimensional elastomer basic model to obtain displacement field distribution; s4, optimizing parameters of the exciter structure based on the displacement field; and S5, after arrangement according to parameters of the optimized exciter structure, applying multi-excitation, performing coherence enhancement on shear waves in a target direction by utilizing multi-excitation interference, and outputting directional shear waves. By adopting the directional shear wave excitation method based on the three-dimensional elastomer, phased array vertical excitation is implemented on the three-dimensional elastic half-space surface, the generation of a directional shear wave beam is realized, and a surface adhesive is not needed, so that the inherent shear / friction artifact problem in the traditional transducer design is avoided.

The invention discloses an electric spark source multi-wave micro-logging system and method, and relates to the technical field of seismic exploration, in particular to an electric spark source multi-wave micro-logging system which comprises a cable, a transverse wave converter, a seismic recorder, an electric spark source, a first three-component detector, a second three-component detector and a longitudinal and transverse wave data processing system. An electric spark electrode column is longitudinally arranged in an inner cavity of the transverse wave converter; after being started, the electric spark source discharges through an electric spark electrode column, water molecules at the position where the electric spark electrode column is located are electrolyzed to generate gas through discharging of the electric spark electrode column, the gas impacts a stratum to generate seismic waves, and a first three-component detector and a second three-component detector receive and record seismic wave signals and transmit the seismic wave signals to a longitudinal and transverse wave data processing system; the depth of the transverse wave converter and the depth of the electric spark electrode column are increased by pulling the mooring rope, so that the electric spark electrode column can excite a seismic source at a plurality of observation points, and the purpose of exciting the seismic source for multiple times is achieved.

The invention relates to the technical field of marine geological exploration, in particular to a seabed landslide mass recognition and age defining method based on big data analysis, which comprises the following steps: S1, collecting multi-source data such as multi-beam sounding, side-scan sonar and shallow stratum profile, constructing a dynamic weight distribution model, and fusing to generate a three-dimensional terrain model; s2, extracting a gradient sudden change region and an acoustic chaos region as initial boundaries based on a terrain model, verifying boundary validity in combination with a shear wave velocity difference rate, introducing a turbidity current correction coefficient, and outputting a final landslide mass region; and S3, extracting section sequence features and constructing a feature vector group, establishing a mapping table by combining the demersal perforated worm oxygen isotope data of the rock core sample, and outputting an age interval of the sedimentary unit through a matching algorithm. According to the method, through multi-source data fusion, intelligent landslide boundary correction and sequence-fossil combination matching, high-precision identification of the seabed landslide mass and intelligent definition of the deposition unit age are realized.

The invention relates to a physical condition embedded seismic surface wave intelligent inversion method and device and a medium, and the method comprises the steps: obtaining the seismic surface wave data of an active source or a passive source to be inverted, and carrying out the extraction through a frequency dispersion analysis method, and obtaining an observation frequency dispersion curve of the seismic surface wave data; constructing an initial shear wave velocity model, obtaining a theoretical frequency dispersion curve and a sensitivity matrix of the initial shear wave velocity model, and calculating physical condition embedding of the observation frequency dispersion curve based on the theoretical frequency dispersion curve and the sensitivity matrix of the theoretical frequency dispersion curve; based on an initial shear wave velocity model and physical condition embedding, an inversion model is used for iterative solution to obtain an inversion shear wave velocity model, and the device and the medium are used for implementing the method. Compared with the prior art, the method has the advantages that the problem that an initial model is easy to fall into a local minimum value due to manual selection is avoided, the inversion precision of the seismic surface waves is improved, the limitation of fixed input or output dimensions is eliminated, and the applicability of the inversion method in processing actual seismic surface wave data is remarkably improved.

The invention relates to the technical field of geological disaster assessment, in particular to a seafloor landslide mass stability assessment method based on multi-source geophysical data, which comprises the following steps: S1, acquiring multi-beam sounding, side-scan sonar, seafloor seismograph and sediment columnar sample data, completing space-time registration, and performing equivalent density conversion on acoustic wave impedance and shear wave velocity to obtain an acoustic wave impedance and shear wave velocity; constructing a three-dimensional grid model; s2, based on the three-dimensional grid model, calculating a curvature mutation index by adopting sliding window Fourier analysis, calculating a pressure gradient in combination with pore water pressure data, and generating a characteristic parameter matrix composed of density, curvature and pressure gradient; and S3, based on the characteristic parameter matrix, calculating shear strain energy and gravitational potential energy superposition field intensity, and generating a landslide mass stability map taking the instability probability as an index. According to the invention, a visual three-dimensional landslide mass stability map is constructed, and high-precision identification and three-dimensional early warning of submarine landslide risks are realized.

The invention provides a frictional wear acoustic emission detection method based on a shear wave sensor, which comprises the following steps: determining the frequency response range of the shear wave sensor and designing the shear wave sensor according to the requirements of the material characteristics of a friction pair, different working condition scenes and monitoring precision; a designed shear wave sensor is installed on one side of a non-contact surface of a friction pair in a self-transmitting and self-receiving mode, and a frictional wear monitoring system is built by combining with the shear wave sensor; shear wave acoustic emission signals and mechanical signals collected in a frictional wear monitoring system are synchronously stored, collected data are analyzed by adopting a method of combining time domain analysis, frequency domain analysis and time-frequency analysis, a corresponding relation between signal characteristics and frictional wear states is established, and accurate identification of shear damage is realized. According to the invention, the in-situ, real-time and high-precision monitoring of the shear damage in the friction wear process is realized by optimizing the type of the sensor and building a friction wear monitoring system.

The invention discloses a tight reservoir stoneley wave hydrocarbon reservoir identification method, a tight reservoir stoneley wave hydrocarbon reservoir identification system and a medium. The tight reservoir stoneley wave hydrocarbon reservoir identification method comprises the following steps: S1, comprehensively dividing a reservoir and a dry layer by utilizing one or more of well logging information, well wall coring, rock debris logging and gas logging; s2, taking the stoneley wave logging curve as a main curve and the transverse wave as an auxiliary curve in the same logging channel, selecting a proper scale, determining the overlapping relationship between the stoneley wave and the transverse wave of the reservoir section and the size of an overlapping region, and calculating the size of the overlapping region, namely a fluid movement index; s3, establishing interpretation standards of an oil-gas layer, an oil-water layer and a dry layer by utilizing the fluid movement index and oil testing and production testing data; and S4, comprehensively identifying an oil-gas layer, an oil-water layer and a dry layer by utilizing the fluid movement index and the interpretation standard in the step S2. The method solves the problem that the tight reservoir resistivity logging cannot effectively identify the hydrocarbon reservoir.

The invention discloses a karst detection method based on blasting seismic wave component analysis. According to the method, based on the propagation characteristics of shear waves (transverse waves and S waves) in fluid, a blasting seismic source generated in the tunnel excavation process is used as an active signal source, existence of a karst cave area is preliminarily judged through multi-point synchronous monitoring and analysis of S wave energy proportion changes, arrival time difference, energy distribution and the like of P waves and S waves are analyzed according to the karst cave area, and the karst cave area is determined. The method achieves the recognition and judgment of the spatial distribution characteristics (including the position and the scale) of the karst cave, and finally obtains the specific moisture content of the karst cave in combination with a related theoretical calculation result, thereby achieving the accurate detection of the characteristics of the karst cave in a detection region. According to the method, an excitation source does not need to be additionally arranged, the detection process and conventional blasting construction can be carried out synchronously, and the method has the advantages of being few in measuring point arrangement, easy and convenient to implement, high in efficiency, accurate, small in calculation workload and the like and is suitable for karst detection and geological disaster early warning in the blasting construction period of tunnels such as water conservancy projects and traffic tunnels.

A micro-motion exploration method based on Koch fractal curve, first determine the target area, then set the order N to zero, then determine the zero-order Koch triangle, then determine the first-order to N-order Koch triangle in turn, until the order N is the final value, then bring the order N into the Koch fractal curve to generate the N-order Koch triangle graph, the N-order Koch triangle graph includes a plurality of sharp points and a center point, all sharp points and the center point are the layout points of the seismograph; then lay out the seismograph on the layout points, then monitor by the seismograph to obtain the micro-motion signal, then obtain the shear wave velocity three-dimensional structure, after laying out, a plurality of Koch triangles with different edge lengths are obtained, so the micro-motion signals with different station spacings are obtained, then the shear wave velocity three-dimensional structures of multiple depths can be obtained; without multiple laying, the exploration efficiency is higher. Therefore, the design can obtain the shear wave velocity three-dimensional structures of multiple depths at the same time, and the exploration efficiency is higher.