946 results about "Longitudinal wave" 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.

Filter installations for suspended matter in flowing fluids, including filtration methods, uses and equipment and plants with filter installations. A device reducing the specific particle count of suspended matter by means of an energy input using ultrasound waves stabilized with electronic feedback loops and their harmonics in the fluids or in objects attached thereto. A flow pipe having a wall, which, on its outer side, its inner side, and / or in the wall has pairs of mutually opposite exciters of longitudinal waves and their harmonics, and / or reflectors, opposite the exciters of the flow pipe to a filter, which keeps the specific particle counts of the suspended matter in the filtered fluids to below the detectable limit.

The invention provides a deep coalbed methane reservoir double-pore structure parameter prediction method and device, relates to the technical field of coalbed methane reservoir development, and solves the technical problem of low precision of a prediction result of pores of a deep coalbed methane reservoir. The method comprises the steps that based on the initial organic matter content, the clay content and the brittle mineral content, an equivalent medium theoretical model is used for establishing a coal bed gas reservoir double-pore coal rock physical model; calculating matrix porosity, fracture porosity and fracture aspect ratio according to logging observation longitudinal wave and transverse wave velocities in the logging data, and taking well-side matrix porosity, fracture porosity and fracture aspect ratio as pore parameter prior information of the coal bed gas reservoir double-pore coal rock physical model; and based on the specified three-dimensional seismic horizon data and the pore parameter prior information, pre-stack seismic inversion is carried out by using a pre-stack Bayesian inversion method through the coal bed gas reservoir double-pore coal rock physical model, and a coal bed gas reservoir double-pore reservoir prediction result is obtained.

The invention relates to the technical field of pipe network data processing, in particular to an automatic monitoring data processing method for pipe network pressure. The method comprises the following steps: acquiring pipe network structure data; constructing a pipeline topology network based on the pipe network structure data to generate the pipeline topology network; screening main pipelines and branch pipes of the pipeline topology network to obtain pipe network circulation data; carrying out pipe wall microwave resonator deployment on the main pipeline and the branch pipelines based on the pipe network circulation data, and capturing pipeline circumferential deformation harmonic waves in real time through the deployed microwave resonators; longitudinal wave propagation time delay of pipe network circulation data is analyzed, and a pipe body structure dynamic resonance atlas is constructed in combination with pipeline circumferential deformation harmonic waves; and carrying out pipe network internal pressure and pipe wall equivalent stress calculation on the pipeline topology network through a pipe body structure dynamic resonance map. By combining pipeline topology analysis, microwave resonator monitoring, dynamic resonance spectrum and bidirectional fluid-solid coupling analysis, the accuracy of pipe network pressure monitoring and identification is improved.

The invention provides a welded joint ultrasonic phased array automatic detection device and method, and the method comprises the steps: selecting a longitudinal wave mode or a transverse wave mode on an interface of a control computer, inputting sample parameters, calculating acoustic beam excitation delay, and setting the acoustic beam excitation delay in an ultrasonic transmitting / receiving module; a mechanical scanning mechanism is driven according to the set parameters, so that a phased array probe moves on the surface of the welding joint according to a preset path; ultrasonic waves are sent to the welding joint according to the acoustic beam excitation delay, echo signals are received, the echo signals are processed to obtain scanning signals, and the scanning signals are uploaded to the control computer; processing the scanning signal to generate a scanning image, segmenting and identifying the scanning image, and extracting incomplete fusion and incomplete penetration defect areas in the scanning image; and performing three-dimensional visual imaging on the defect area and analyzing a characteristic curve extracted from the primary echo amplitude of the echo signal to obtain three-dimensional data of the defect area and storing the three-dimensional data.

The invention discloses a visual detection system and method for a TBM wall back grouting effect, and belongs to the technical field of tunnel detection, and the system comprises an acoustic signal transmitting matrix, an acoustic energy sensing matrix, a tunnel half-section synchronous lifting device, a data processing center, a core scheduling unit, a holographic data processing unit and a holographic intelligent analysis unit, the tunnel half-section synchronous lifting device comprises a tunnel half-section synchronous lifting track, a transmitting base, a sensing base, a transmitting sensing partition plate and a transmitting sensing fixing plate. According to the method, grouting attribute information of a to-be-detected area is obtained through a root-mean-square value, a longitudinal wave energy dissipation value, longitudinal wave sending and receiving time difference and a wave velocity value, a three-dimensional information model of a tunnel section is built through a holographic data processing unit based on the information, and difference data and a difference area are presented through a holographic intelligent analysis unit; therefore, visualization processing of the tunnel grouting information is achieved, and the accuracy of TBM wall back grouting effect detection is improved.

The invention relates to the technical field of cast-in-place pile detection, and discloses a cast-in-place pile integrity detection system based on a multi-mode ultrasonic array, and the system comprises a deformable multi-mode ultrasonic probe which is used for adaptively adjusting the posture through an intelligent material driver; the intelligent coupling injection module is used for automatically cleaning the inner wall of an internal channel of the cast-in-place pile; the multi-source data processing module is used for receiving the original ultrasonic waveform data and the real-time position information of the ultrasonic probe; the deep learning recognition module is used for generating a recognition result including defect categories and preliminary features; the defect positioning and evaluating module is used for constructing a defect model comprising defect space coordinates, geometric dimensions and severity parameters; and the diagnosis decision module is used for providing targeted repair suggestions. The ultrasonic signals are transmitted and received through the integrated longitudinal wave transducer, the transverse wave transducer and the Rayleigh wave transducer, the internal structure information of the pile body is obtained, in this way, the ultrasonic beam coverage range is expanded, and the detection blind area of the area between the sounding pipes in a traditional method is effectively made up.

The invention provides a digital rock core equivalent characteristic parameter prediction method based on voxel and point cloud combination. The method specifically comprises the following steps: calculating equivalent characteristic parameters of a digital rock core by using a finite element method and a lattice Boltzmann method; and converting the pore and matrix contact surface into a point cloud data set. And calculating point cloud feature parameters. A point cloud information constrained multi-gating multi-expert hybrid prediction network is constructed, and a same variance uncertainty loss function is constructed. And training the prediction network by taking the bulk modulus, the shear modulus, the longitudinal wave velocity, the transverse wave velocity, the porosity, the density and the permeability as prediction targets until the loss function is converged. According to the technical scheme, the problems that crosstalk is generated between tasks and the prediction precision is low when digital core equivalent characteristics are predicted through multiple parameters in the prior art are solved.

The invention discloses a bolt pre-tightening force testing method based on an electromagnetic ultrasonic pre-tightening force measuring system, and the method comprises the steps: collecting the waveform data of transverse and longitudinal waves generated by an electromagnetic ultrasonic probe, and only processing the current frame echo data and historical accumulated data each time through a data averaging algorithm. The storage space only needs to store the historical accumulated data received by the electromagnetic ultrasonic probe once, so that the processing speed and the signal-to-noise ratio of the data are improved; and automatically identifying and calculating the wave peak sound time enveloped by the transverse and longitudinal wave echoes of the bolt through a peak value algorithm, fitting to obtain a calibration curve corresponding to the bolt of the model specification through the ratio of the transverse and longitudinal wave sound time to the bolt pre-tightening force corresponding to the time period, and measuring the pre-tightening force of other bolts of the same model specification by using the calibration curve. The method is easy and convenient to operate, effective transverse waves and longitudinal waves can be excited at the same time, and measurement precision and accuracy are high.

The present invention discloses a method and system for detecting thin coal seams based on the attenuation of the period amplitude of refracted waves, including: S1 Instrument layout: The seismic survey line consists of S excitation points and R receiving points; the total number of seismic data d i (t) is formed through signal acquisition and data transmission between the excitation points and the receiving points; S2 Obtaining formation data and calculating the refracted wave period: Obtaining the longitudinal wave velocity v r of the surrounding rock and the longitudinal wave velocity v c of the coal seam, measuring the thickness h of the coal seam exposed in the roadway on the sidewall of the roadway, and calculating the refracted wave period T; S3 Processing d i (t) to obtain the seismic data s i (t) after deconvolution and in-trace equalization; obtaining the amplitude ratio of the seismic data s i (t) to the reference trace s0(t) at the n p th order as the refracted wave period amplitude coefficient a p of point P, and the numerical value of a p reflects the thickness of the coal seam at point P. The refracted wave of the coal seam used in the present invention is another underground seismic wave generated simultaneously with the trough wave. Using the refracted wave can more accurately interpret the boundary of the thin coal seam, improving the coal mining work efficiency and resource utilization rate.

The invention relates to the technical field of tunnel excavation, in particular to an excavation method for weak surrounding rock tunnel construction based on real-time monitoring, which comprises the following steps: S1, forepoling a tunnel arch part; s2, the design radius of the tunnel is obtained, the height of an upper step is determined based on the design radius and the longitudinal wave speed of the rock mass, and the upper step is excavated and supported; s3, determining the excavation sequence of the left side and the right side of the lower step; s4, excavating and supporting the upper step and the single-side lower step according to the determined excavating sequence; s5, the lower step and the upper step on the other side are excavated and supported; s6, preliminarily judging the stable state of the surrounding rock; s7, the single tunneling amount of tunnel circulating tunneling is adjusted on the basis of the stable state of the surrounding rock, and tunnel excavation is conducted repeatedly and circularly; according to the method, the upper and lower steps are excavated in a staggered mode, excavation and supporting parameters are adjusted and optimized, the construction efficiency is improved, and the construction period is shortened.

An on-line monitoring method and system for pre-tightening stress of a blade root bolt of a wind turbine generator. The method comprising: step S1, on the basis of a material type of a measured bolt, calculating bolt parameters in a zero-load state; and step S2, collecting related data of the measured bolt, and calculating to obtain an axial stress of the bolt to complete monitoring. The transit time of ultrasonic longitudinal and transverse waves in the bolt is measured by using the acoustic elasticity theory, and the axial stress of the bolt is obtained by performing ratio calculation on the basis of the transit time of longitudinal and transverse waves, so that the pre-tightening force of the blade root bolt is monitored in real time. The pre-tightening force of the fastened bolt of the blade root is monitored by using a double-wave method, which reduces the complexity of measurement, and facilitates the large-scale application of engineering projects.

The invention belongs to the technical field of tunnel engineering geophysical prospecting, and particularly relates to a full-wave-field tunnel advanced prospecting method based on rock physical constraint, which comprises the following steps of: constructing an initial geologic model, sampling on an upper interface of a layer section where a tunnel is located and carrying out longitudinal and transverse wave velocity measurement to obtain a longitudinal wave velocity Vp and a transverse wave velocity Vs; combining all sampled longitudinal wave velocities Vp and transverse wave velocities Vs, calculating longitudinal wave velocities and transverse wave velocities of a target layer section, obtaining elastic parameters of the target layer section, importing the obtained elastic parameters into an initial geologic model, obtaining a parameter inversion initial model, constructing a forward wave field and a simulated seismic record, and making a difference between an actual observation record and a simulation record, so as to obtain an initial geologic model; and conjugate gradient inversion is carried out. According to the method, all wave field information excited by the shield tunneling machine is fully utilized, and high-precision parameter inversion is carried out under rock physical constraints, so that more accurate tunnel front geological prediction can be provided, and a scientific basis is provided for safe and efficient construction of the shield tunneling machine.

The invention relates to the technical field of hemispherical harmonic oscillator assembly, in particular to a welding method and device for an assembled hemispherical harmonic oscillator, and the device comprises a vibration welding platform and a clamping assembly located above the vibration welding platform; the vibration welding platform is used for bearing the sensitive base and providing a thermal field and a vibration field needed by welding, and the clamping assembly is used for clamping the center shaft and sending the center shaft into a center hole of the base. A heating unit and a composite vibration ultrasonic transducer are arranged in the platform, and the platform is configured to apply high-frequency vibration formed by superposition of vertical longitudinal waves and horizontal torsional waves to the base. The high-frequency vibration thixotropic effect is used for reducing the viscosity of the molten solder, the ultrasonic cavitation effect is used for forcibly discharging bubbles at the bottom of the blind hole, and the sound radiation pressure generated by the vibration standing wave field is used for driving the center shaft to achieve friction-free self-centering in the hole. According to the device, the problems of air bolt pseudo soldering and rigid assembly clamping stagnation in the traditional process are solved, and the assembly coaxiality and the connection strength of the harmonic oscillator are remarkably improved.

The invention relates to the field of application of an instantaneous elasticity imaging technology to liver sclerosis detection, in particular to an intelligent analysis system based on the instantaneous elasticity imaging technology. Comprising a shear wave imaging module, a medical history detection calling module and an intelligent analysis module, and the shear wave imaging module is used for generating shear waves and longitudinal waves through energy pulses and conducting imaging processing on real-time data of the shear waves obtained through patient detection; the medical history detection calling module is used for acquiring detailed patient conditions through the patient medical history and detection records; and the intelligent analysis module is used for jointly analyzing through the shear wave imaging module and the medical history detection calling module so as to determine disease causes and give suggestions. According to the image drawn by the shear wave, the condition of the liver of a patient can be reflected more visually and accurately, the judgment of the liver is more accurate, inaccurate factors in illness state judgment are reduced, and the system can reduce errors caused by the influence of factors such as the technical level of an operator, equipment performance and the like when the liver is detected by an instantaneous elastography technology.

The invention belongs to the field of polar acoustic measurement, and relates to a method for estimating the sound velocity and thickness of an ice layer by using airwaves and ice layer bending waves, which comprises the following steps of: acquiring broadband pulse sound signals by using a sensor fixed on an ice surface; recording the distance between the detonating device and the ice surface sensor; performing time-frequency analysis on the broadband pulse signal acquired by the ice surface sensor; obtaining a time-frequency spectrum of the signal through time-frequency analysis, calculating the propagation velocity of the airwave, converting the time-frequency spectrum into a group velocity spectrum, and extracting a group velocity dispersion curve of the bending wave; initializing the longitudinal wave velocity, the transverse wave velocity, the ice layer thickness and the seawater sound velocity of the ice layer; calculating an expected group velocity curve according to the sound propagation model, and constructing a cost function; and optimizing the cost function by adopting a particle swarm algorithm, and outputting a final parameter estimation value. The method can be realized only by using a single sensor, and the synchronization of transmitting equipment and receiving equipment is not required; the sound velocity and thickness of the ice layer can be inverted by using the relationship between the group velocity and the acoustic parameters.

The invention discloses a multi-wave chromatography and reflection combined detection method and device for a thin-covering-layer urban active fault and a medium. The method comprises the steps that longitudinal wave seismic data and transverse wave seismic data are collected; recording vertical component data based on the longitudinal wave seismic data for first arrival travel time pickup and tomography inversion to obtain a longitudinal wave velocity structure model Vp; extracting Rayleigh surface wave frequency dispersion through the vertical component data and carrying out multichannel surface wave analysis inversion to obtain a transverse wave velocity structure model Vs; calculating a longitudinal and transverse wave velocity ratio parameter structure model Vp / Vs, and calculating to obtain a Poisson's ratio parameter structure model v; obtaining a longitudinal wave (P wave) reflection profile and a transverse wave (S wave) reflection profile; identifying and summarizing into an interpretation fracture set Fc, and recording key elements; and by taking the interpretation fracture set Fc as a structural skeleton, completing unified registration and superposition display on Vp, Vs, Vp / Vs and v, a longitudinal wave reflection profile and a transverse wave reflection profile, and outputting a shallow underground structure comprehensive interpretation map of the thin covering layer region.

The invention discloses a rock compressive strength prediction system and method based on grey correlation analysis and GWO-BILSTM, and the system is characterized in that a data collection unit is used for collecting Schmidt rebound index, Leeb hardness, Rockwell hardness, longitudinal wave velocity, density and uniaxial compressive strength measured values, and taking the above factors as original data; a gray correlation analysis module, a model optimization module and a compressive strength prediction module are arranged in the data processing unit, and the gray correlation analysis module is used for performing normalization processing on data and calculating a gray correlation degree; the model optimization module is used for optimizing the compressive strength prediction module; the compressive strength prediction module is used for predicting the compressive strength of the rock and outputting a result to the visual output module; the method comprises: collecting data; correlation degree analysis and input feature screening; establishing a rock compressive strength prediction model based on a bidirectional long-short-term memory network, and performing optimization by using a GWO algorithm; and carrying out actual prediction. The system and the method can realize efficient and accurate prediction of the compressive strength of the rock.

The invention discloses an ultrasonic dual-wave reliability measurement method for a bolt stress. A first ultrasonic dual-wave transducer is configured to transmit and receive an ultrasonic transverse wave or an ultrasonic longitudinal wave, a second ultrasonic dual-wave transducer is configured to receive the ultrasonic transverse wave or the ultrasonic longitudinal wave, and the transverse wave or longitudinal wave generated by the first ultrasonic dual-wave transducer is propagated in a measured bolt. If a difference between TOF for which the first ultrasonic dual-wave transducer receives the echo signal and double of TOF for which the second ultrasonic dual-wave transducer receives the echo signal in a same mode is not greater than a quarter of one transmission period T, the measured TOF satisfies verification requirements. Reliability of time-of-flight data of the ultrasonic wave can be verified, and various measurement errors can be prevented.

The invention relates to a near-surface longitudinal wave velocity modeling method and device based on micro-motion exploration, and the method comprises the steps: obtaining a surface survey-based ground geological map of a target work area, and correcting a geological boundary of the surface survey-based ground geological map; according to stratum, fault and stratum occurrence information provided by the corrected ground geological map, a geological cross section is drawn along a seismic survey line, and a shallow ground structure model of the target work area is obtained; obtaining the shallow surface shear wave velocity of each preset measuring point in the target work area, and converting the shallow surface shear wave velocity of each preset measuring point into a longitudinal wave velocity; with the shallow ground structure model as a constraint, spatial interpolation is carried out on the longitudinal wave velocity of each preset measuring point to obtain a near-surface longitudinal wave velocity model based on the shallow ground structure model and a shallow velocity field based on the shallow ground structure model, the inversion velocity is close to the stratum velocity, and the precision is high; and a good near-surface longitudinal wave velocity model is provided for subsequent pre-stack depth migration.

The invention provides a full-section detection method, device and equipment for reinforcing a steel rail welding seam and a storage medium, and relates to the technical field of nondestructive testing. The method comprises the following steps: respectively arranging a plurality of first phased array probes on rail head treads and rail bottom surfaces of a first steel rail and a second steel rail, and arranging a second phased array probe right above a welding seam; the detection method comprises the following steps: determining optimal parameters of a transducer based on the material of the steel rail, the size of the cross section of the steel rail and the sound pressure intensity at a preset focusing depth position; determining the optimal scanning angle range of the first phased array probe based on the propagation velocity of the ultrasonic longitudinal wave in the wedge block and the steel rail, the propagation velocity of the ultrasonic transverse wave in the steel rail and the Snell's law; and controlling the first phased array probe to carry out sector scanning imaging within the optimal scanning angle range, and controlling the second phased array probe to carry out zero-degree line scanning imaging, so as to detect the full section of the welding seam. According to the invention, the welding seam can be accurately detected without dismounting the clamping plate.

The invention relates to a regional fracturing influence range monitoring method based on distributed optical fiber sound wave sensing, and the method comprises the steps: pre-arranging a DAS monitoring system in a fracturing region, and collecting an original signal of the fracturing region through the DAS monitoring system; identifying the original signal, and obtaining a micro-seismic signal and first arrival time of a longitudinal wave in the micro-seismic signal; based on the first arrival time of longitudinal waves in the micro-seismic signals, the distribution position of micro-seismic events in the fracturing area is determined; according to the distribution position of the micro-seismic event in the fracturing area, the hydraulic fracturing influence range in the fracturing area is determined, the original signal of the fracturing area is collected through the DAS monitoring system, the distribution position of the micro-seismic event in the fracturing area is determined by processing the original signal, accurate characterization of the hydraulic fracturing crack propagation form is achieved, and the hydraulic fracturing influence range in the fracturing area is determined. The accuracy and efficiency of determining the effective influence range of hydraulic fracturing are improved, reference can be provided for optimization of a hydraulic fracturing scheme, the hydraulic fracturing pressure relief effect is improved, and the production safety of a coal mine is guaranteed.

The invention provides a multiple prediction method and device for a converted wave free interface, equipment and a medium, and belongs to the field of seismic data processing. The method comprises the following steps: acquiring a seismic signal, and extracting a longitudinal wave component downlink wave record of the seismic signal; determining a downlink wave imaging data volume according to the downlink wave record of the longitudinal wave component based on Kirchhoff offset; based on Kirchhoff demigration, determining a longitudinal wave component demigration seismic record according to the downlink wave imaging data volume, and taking the longitudinal wave component demigration seismic record as a free interface multiple prediction factor; determining a free interface factor based on the longitudinal wave component demigration seismic record and a free interface preset reflection coefficient; and constructing a free interface multiple prediction model based on the free interface factor and the free interface multiple prediction factor. According to the method, all free interface multiple components in converted wave data can be accurately predicted, so that the multiple elimination precision can be further improved.

The invention discloses a reservoir shear wave velocity prediction method and device. The method comprises the following steps: constructing a solid matrix model based on mineral content data of a reservoir to be predicted, and determining an initial value of an elastic modulus of a solid matrix; determining longitudinal wave velocities under different porosities based on the initial value of the elasticity modulus of the solid matrix and preset different porosities, comparing the longitudinal wave velocities with the actually measured longitudinal wave velocities of the reservoir rock sample, and adjusting the initial value of the elasticity modulus of the solid matrix based on a comparison result to obtain a solid matrix model after the elasticity modulus is adjusted; lithology correction is carried out on neutron logging data of the reservoir based on pore correction parameters of various minerals in the reservoir to determine the porosity of the reservoir, and the porosity of the reservoir is added into a solid matrix model to establish a dry skeleton rock physical model; and based on the pore structure of the reservoir and the dry skeleton rock physical model, constructing a rock physical model combined with the pore structure characteristics so as to determine the elastic modulus of the reservoir and further determine the shear wave velocity. The prediction precision of the shear wave velocity can be improved.

The invention discloses a nuclear power station in-service equipment physical performance monitoring method based on EMAT, and belongs to the field of nuclear power station equipment service performance detection. The method comprises the following steps: simultaneously exciting ultrasonic transverse and longitudinal waves by using an EMAT probe; the EMAT sensor is designed to resist high temperature; ultrasonic sound velocity correction in a high-temperature environment; key physical performance parameters such as elastic modulus and Poisson's ratio of in-service equipment in a high-temperature environment are continuously monitored by utilizing sound velocity data of transverse waves and longitudinal waves excited by an EMAT probe. Based on the electromagnetic ultrasonic principle, the method can effectively monitor the elasticity modulus, Poisson's ratio and other key physical performance parameters of the in-service equipment of the nuclear power station at high temperature, corrects the measurement error caused by high temperature, provides an important basis for the health management of the equipment of the nuclear power station, and ensures the feasibility and safety of the equipment.

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 relates to the technical field of unconventional shale oil and gas resource exploration, in particular to a shale shear wave velocity estimation method considering clay directional arrangement influence. According to the technical scheme, a shale compaction model is constructed, a shale directional arrangement background medium is formed, an orientation distribution function is used for simulating the elastic tensor of the background medium under different directional arrangement degrees, and the anisotropic speed of the background medium is calculated; calculating a longitudinal wave speed and a transverse wave speed in an equivalent isotropic background medium according to the anisotropic speed, and then calculating a bulk modulus and a shear modulus of the equivalent isotropic background medium; and adding clay-related pores and sand-related pores into an equivalent isotropic rock matrix by using an Xu-White model to obtain a bulk modulus and a shear modulus of dry shale, and finally simulating the shear wave velocity of the shale under the influence of directional arrangement of the clay. According to the invention, a new rock physical model is established to simulate the influence of clay directional arrangement, pore morphology, mineral and fluid properties on longitudinal and transverse wave velocities in shale.

The invention discloses a bolt axial force measurement method based on trailing waves and temperature compensation, and relates to the technical field of bolt axial force measurement. The influence of stress and temperature on the bolt length and ultrasonic sound velocity is analyzed, sound time variation of longitudinal waves and primary trailing waves under the action of stress and temperature is obtained, the longitudinal waves and the primary trailing waves are selected to serve as a wave type combination of bolt axial force measurement based on sensitivity analysis of sound waves on stress and temperature, and a sound elasticity principle is combined to measure the bolt axial force. Establishing a relation model of ultrasonic sound velocity, stress and temperature, and respectively calculating longitudinal wave sound time and primary trailing wave sound time considering the comprehensive influence of the stress and the temperature; and constructing a measurement characterization quantity of the bolt axial force based on longitudinal wave and primary trailing wave sound time, and performing temperature compensation on axial stress measurement to complete bolt axial force measurement. The axial force characterization quantity is constructed by measuring the sound time difference by utilizing the propagation information of the longitudinal wave and the primary trailing wave, and the axial force measurement requirement of the fastened bolt in the high-temperature environment is met.

The invention discloses an ultrasonic orthogonal scanning measurement method for mechanical properties of a fiber reinforced composite material. The method comprises the following steps: aiming at a composite material unidirectional plate to be detected, fixing receiving (transmitting) points on the surface of one side of a material, positioning the transmitting (receiving) points on the surface of the other side of the material, performing linear scanning along any two orthogonal directions, and recording transmission quasi longitudinal wave and quasi transverse wave time domain waveform signals which are acquired by combining each pair of transmitting and receiving points and are propagated along different paths; establishing an acoustic model for quantitatively describing the quantitative relationship between the ultrasonic trend and the independent elastic constant, thickness and fiber direction angle of the to-be-tested fiber reinforced resin matrix composite so as to simulate an ultrasonic data acquisition experiment and generate a corresponding simulated ultrasonic data set; and updating the independent elastic constant, the thickness and the fiber direction angle value of the composite material by taking the similarity degree between ultrasonic data sets obtained by experiments and simulation as a target function. According to the invention, multi-parameter high-precision in-situ nondestructive measurement of mechanical properties, thickness and fiber orientation of materials can be synchronously realized.

The invention relates to a buried hill reservoir permeability evaluation method and system based on Stoneley wave time difference intelligent prediction, processing equipment and a storage medium. The method comprises the following steps: preprocessing core physical property, conventional logging and electric imaging logging data in a target area; array acoustic logging data are processed, and longitudinal wave, transverse wave and stoneley wave time difference of each well in the target area is extracted; establishing an intelligent stoneley wave time difference prediction model, and predicting the stoneley wave time difference of the interval with poor stoneley wave data quality of each well; determining the effective fracture development position and the fracture width of each well; carrying out a crack plate model experiment, and calculating the total permeability of the stratum at the effective crack development position according to the effective crack development position and the crack width of each well; inverting the total permeability of the buried hill reservoir; on the basis of the plunger sample core permeability and the total stratum permeability calculated at the effective fracture development position, permeability inversion results of the effective fracture non-development position and the effective fracture development position of each well are calibrated, and the method can be widely applied to the field of oil and gas exploration and development.