559 results about "Transverse wave" patented technology

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 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 relates to the technical field of oil exploration, and discloses a rock mechanical parameter logging intelligent evaluation method considering continental facies shale fabric characteristics. The method comprises the following steps: 1, dividing shale lithofacies, identifying and determining the bedding development thickness of a sample through an optical microscope, determining a granularity experiment of the sample through granularity analysis, and forming mineral composition and bedding factor lithofacies division; 2, constructing a typical logging facies based on a rock electricity response relationship, and dividing the imaging logging facies of the research area according to natural gamma curves of conventional logging and imaging logging, core deposition structure characteristics and imaging logging image characteristics; 3, testing the longitudinal and transverse wave velocities and the porosity of different shale lithofacies, and calculating the dynamic elastic modulus and the Poisson's ratio. Through fine division and description, the method for accurately evaluating the bedding development condition, the particle size characteristics and the mineral components of the shale sample is provided, the testing time is short, the cost is low, and accurate evaluation of shale can be achieved.

The invention discloses an orthotropic rock physical modeling method. The method comprises the following steps: S1, obtaining tight reservoir parameters; s2, estimating the elastic modulus of the mixed minerals; s3, enabling the mixed mineral to be equivalent to a VTI background rock matrix caused by a thin layer; s4, matrix pores are added into a VTI background rock matrix; s5, embedding the vertical crack into the VTI background'dry 'rock skeleton to obtain an OA medium'dry' rock skeleton; s6, calculating the bulk modulus and saturated rock density of the mixed fluid; s7, adding the mixed fluid into the OA medium'dry 'rock skeleton to obtain OA medium saturated rock; s8, calculating longitudinal and transverse wave velocities and anisotropy parameters of OA medium saturated rocks; and S9, calculating OA medium saturated rock. According to the method, the tight reservoir with the orthotropic characteristic can be simulated, the Thomsen parameter and the fracture weakness parameter of the tight reservoir can be obtained, and data support is provided for fracture evaluation, anisotropic parameter inversion, permeability prediction and the like of the tight reservoir.

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 provides a multiple longitudinal and transverse wave joint detection method based on a seabed crawler, which belongs to the technical field of geophysical exploration, and constructs an original longitudinal and transverse wave signal matrix by transmitting multi-frequency longitudinal and transverse wave signals and receiving stratum reflection signals. Fourier transform is utilized to extract frequency characteristics, physical analysis is carried out in combination with a wave equation, and a longitudinal and transverse wave interference matrix is constructed and weighted fusion is carried out. And constructing an error compensation matrix according to the crawl device attitude data, and performing interference compensation on the joint interference matrix. And performing time-frequency analysis through wavelet transform, extracting specific time-frequency features, inputting the specific time-frequency features into a pre-trained stratum classification prediction model, realizing anti-interference prediction on the type and thickness of the seabed stratum structure, finally drawing a seabed three-dimensional geological profile map according to a prediction result, and marking a key geological structure and a resource distribution region. The technical problem that accurate recognition and resource distribution positioning of the seabed stratum structure are affected due to much external interference in the seabed geological exploration process is solved.

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 relates to the technical field of earthquake prediction, in particular to a crustal stress azimuth earthquake prediction method based on a transverse wave speed change rate, which comprises the following steps: calculating a speed value of a transverse wave and a propagation distance, extracting a difference value to generate a change rate set, calculating an offset rate, screening a continuous overrun section, identifying a disturbance path section, and performing interpolation restoration to generate a purification sequence. Extracting forward and reverse propagation trends and counting direction identifiers, and generating a crustal stress main stress direction map; according to the method, a change rate set is generated through a sliding window segmentation speed sequence, data continuity is enhanced, local features are reserved, a sudden change area is screened and accurately positioned in combination with a continuous offset rate, multi-path lithology difference identification and disturbance repair are carried out, non-structural interference is eliminated, and forward and reverse path cross validation is carried out to screen a direction consistent section, so that the discrimination robustness is improved; the velocity direction is dynamically associated with the structure trend, synchronous analysis of the stress field and fault activity is realized, multi-stage processing is combined with dynamic threshold and direction verification, and the derivation precision and timeliness are improved.

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 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 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 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 present invention relates to a Rayleigh wave dispersion curve inversion method and system based on geological statistics, and belongs to the technical field of seismic shear wave velocity inversion. First, an inversion equation is constructed based on a dispersion equation, and iterative optimization is performed using the inversion equation to obtain the first seismic shear wave velocity structure of each station. Then, multiple second initial seismic shear wave velocity structures of each inter-station point to be estimated are determined based on the first seismic shear wave velocity structure and position of all stations, and the second Rayleigh wave dispersion curve is calculated using the dispersion equation. Finally, all the second Rayleigh wave dispersion curves corresponding to the inter-station point to be estimated are used as input, and the optimal second Rayleigh wave dispersion curve is determined using the second objective function to determine the second seismic shear wave velocity structure of each inter-station point to be estimated. The present invention can simultaneously obtain the seismic shear wave velocity structure of stations and stations, and can greatly improve the lateral resolution.

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 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.

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.

The invention discloses a loess collapsibility evaluation method and system based on a geophysical prospecting test technology, and relates to the field of land exploration, and the method comprises the steps: laying regular detection grids in a to-be-evaluated loess site, and constructing a site geographic coordinate system; collecting Rayleigh wave signals in real time, inverting a transverse wave velocity profile, and collecting apparent resistivity data; a shallow soil sample is drilled, soil property parameters are measured, and a model is constructed according to the mapping relation between the field geophysical prospecting parameters and the soil property parameters; inputting the acquired data into the wave velocity-water content correlation model and the resistivity-dry density correlation model to generate a water content distribution field and a dry density distribution field; and calculating the collapsibility of loess in each detection grid based on a geophysical prospecting response equation of the collapsibility coefficient, outputting a collapsibility coefficient contour cloud picture, and judging the collapsibility grade of each grid and the distribution range of collapsed loess. The method has the advantages that the collapsibility distribution field and the contour cloud picture are generated through accurate non-intrusive data acquisition and model analysis, and a scientific basis is provided for engineering construction.

The invention belongs to the technical field of seismic exploration, and particularly discloses an elastic wave vector seismic exploration data static correction method, which comprises the following steps: S1, establishing a longitudinal wave micro-logging surface velocity model; s2, establishing a three-component micro-logging shear wave surface velocity model; s3, performing low-frequency static correction on the longitudinal wave seismic data; s4, performing low-frequency static correction on the transverse wave seismic data; s5, performing low-frequency static correction on the converted wave seismic data; s6, calculating residual static correction values of shot points and detection points of the longitudinal wave field, the converted wave field and the transverse wave field; and S7, calculating total static correction values of shot points and detection points of the longitudinal wave field, the converted wave field and the transverse wave field. According to the method, the static correction problem of various wave field seismic data in elastic wave vector seismic exploration is effectively solved, and the calculation efficiency and the imaging precision are improved. The method is suitable for static correction of seismic exploration data.

The invention relates to the technical field of geological exploration, in particular to a deep water ultra-shallow natural gas reservoir rock physical shear wave velocity prediction method, which comprises the following steps: calculating the equivalent bulk modulus, shear modulus and density of a mixed matrix of various minerals according to the shale content; calculating the bulk modulus and the shear modulus of the skeleton; calculating the bulk modulus and the shear modulus of the saturated rock through the model, and calculating the density of the saturated rock through the density of the rock matrix; distributing longitudinal and transverse velocities in a suspension state and a bearing state, and calculating equivalent longitudinal and transverse wave velocities; taking the longitudinal wave velocity as a known condition, and constructing an inversion objective function by using the equivalent longitudinal wave velocity; comparing the actual longitudinal wave speed with the calculated longitudinal wave speed; and realizing nonlinear inversion of the shear wave velocity according to an algorithm, and obtaining the shear wave velocity of the work area to be inverted. According to the method, rock physical models in a particle suspension state and a bearing state are considered at the same time, and shear wave velocity prediction and direct inversion of the shear wave velocity of the deepwater ultra-shallow natural gas reservoir are realized.

The invention provides a surface wave information-based near-surface formation longitudinal wave velocity inversion method. The surface wave information-based near-surface formation longitudinal wave velocity inversion method comprises the following steps of: 1, extracting surface wave frequency dispersion data through a phase shift method; 2, according to the frequency dispersion curve, direct inversion is carried out to obtain the near-surface shear wave speed and thickness; step 3, calculating a W-D curve and a W / D-D curve; and 4, adding the W-D data and the W / D-D data into an objective function, and carrying out longitudinal wave velocity direct inversion. According to the near-surface formation longitudinal wave velocity inversion method based on the surface wave information, direct inversion of the near-surface formation longitudinal wave velocity can be achieved, information such as the transverse wave velocity, the formation thickness, the longitudinal wave velocity and the Poisson's ratio is obtained in the inversion process, and powerful research basis and support are provided for application of the surface wave information in oil exploration and engineering exploration.

The invention discloses a seismic data acquisition device based on a ground 3C-DAS optical cable and an acquisition method thereof, is applied to the field of seismic exploration, and aims to solve the problems of high layout cost, too long construction time and low operation efficiency of an existing ground three-component detector. According to the method, a 3C-DAS armored optical cable is buried under a shallow earth surface in a parallel or orthogonal mode, a ground multichannel low-frequency DAS modulation-demodulation instrument collects phase data of Rayleigh scattering light reflected back from the 3C-DAS armored optical cable and carries out modulation-demodulation processing, and high-density distributed three-component seismic data distributed along the 3C-DAS armored optical cable is obtained; according to the system, high-density distributed three-component ground seismic data along the armored optical cable can be rapidly and efficiently acquired at low cost; the invention also provides a processing method for the collected high-density distributed three-component ground seismic data, an analysis method for a shallow surface velocity structure with high spatial resolution, and an inversion imaging method for longitudinal waves, transverse waves and surface waves.

The embodiment of the invention provides a simple system for simulating fluctuating motion of ocean conditions, and relates to the field of ocean-related simulation experiments. The device comprises a base, a translation seat, a stand column, a top beam, a lifting seat, a simulation water tank and a transverse vibration mechanism, the translation seat is installed on the base, the stand column is installed on the translation seat, the top beam is installed at the top end of the stand column, the lifting seat is installed on the stand column in a sliding mode, and the simulation water tank is installed on the lifting seat; the translation seat is mounted on the base through a transverse vibration mechanism, and the transverse vibration mechanism can enable the translation seat to do transverse reciprocating motion. Transverse waves can be generated, and corresponding wave fluctuation can be simulated; meanwhile, longitudinal waves can be generated, so that wave fluctuation generated by the longitudinal waves is simulated; the equipment has the two capabilities at the same time, can be selected according to requirements, and is high in universality. In addition, the device can enable the liquid to quickly recover calm, facilitates the switching of different seismic source modes for simulation testing, and improves the efficiency.

The invention relates to the technical field of industrial detection, in particular to an electromagnetic ultrasonic double-wave transducer for detecting residual stress of a pipeline. The problems that in the prior art, single-wave detection errors are large, the fitting degree of a sensor and a pipeline curved surface is poor, and impact force affects an internal structure are solved. The invention provides an electromagnetic ultrasonic double-wave transducer. The electromagnetic ultrasonic double-wave transducer comprises a shell, a magnet assembly, a coil and other components. The magnet assembly is composed of a transversely-arranged first magnet, a longitudinally-symmetrical second magnet and a longitudinally-symmetrical third magnet, the included angle between the magnets is adjusted through a hinge, and vertical and horizontal magnetic fields are formed to excite transverse waves and longitudinal waves at the same time. The lower portion of the shell is arc-shaped and attached to the curved surface of the pipeline, and an elastic supporting structure and a flexible buffering layer are arranged at the joint to buffer impact force. In addition, a grounding lead is arranged to improve the signal-to-noise ratio. Through multi-magnet combination, the arc-shaped shell and the grounding wire buffer design, the magnetic field uniformity and the detection signal strength are effectively improved, and transverse and longitudinal wave integrated high-precision residual stress detection is realized.

The invention relates to the field of petroleum engineering, and discloses a pore pressure determination method and device, a storage medium and electronic equipment. The method comprises the following steps: determining longitudinal wave time difference and transverse wave time difference of a rock debris sample, respectively performing overburden pressure correction on the longitudinal wave time difference and the transverse wave time difference, and determining a longitudinal wave and transverse wave ratio according to the corrected longitudinal wave time difference and transverse wave time difference; determining the content of each mineral in the rock debris sample and reconstructing the density content and the shale content; according to the density content, the shale content, the longitudinal wave time difference and the transverse wave time difference, the conversion relation between the dynamic and static elastic parameters is determined; determining vertical principal stress according to the density content; determining a relation between a longitudinal-transverse wave ratio and effective stress according to a conversion relation between the dynamic and static elastic parameters and preset static pressure test data; and determining a pore pressure determination model according to the vertical principal stress and the relation between the ratio of the longitudinal wave to the transverse wave and the effective stress. The invention discloses a while-drilling real-time pressure prediction method, and the real-time monitoring effect of the formation pressure is improved.

The invention discloses a steel rail stress measuring system based on electromagnetic ultrasonic orthogonal transverse waves. The steel rail stress measuring system comprises an electromagnetic ultrasonic probe and a signal processing unit, the electromagnetic ultrasonic probe is configured to be an orthogonal coil group with orthogonal axes, the electromagnetic ultrasonic probe generates eddy current under the excitation of alternating current and generates a first transverse wave and a second transverse wave on the steel rail, the propagation directions of the first transverse wave and the second transverse wave are both vertically downward from the center of a rail head of the steel rail, the vibration direction of the first transverse wave is the length direction of the steel rail, and the vibration direction of the second transverse wave is the length direction of the steel rail; the vibration direction of the second transverse wave is the width direction of the steel rail head, and the vibration direction of the first transverse wave and the vibration direction of the second transverse wave are perpendicular to each other to form an orthogonal relation; and the signal processing unit is used for synchronously receiving echo signals of the first transverse wave and the second transverse wave, calculating a propagation time difference between the first transverse wave in the length vibration direction and the second transverse wave in the width vibration direction, and evaluating the axial stress of the steel rail according to the propagation time difference between the first transverse wave and the second transverse wave.

The embodiment of the specification discloses a self-adaptive variable grid forward modeling method for middle-deep dry hot rock mass. p , a transverse wave velocity V s and a medium density p model, pre-setting forward modeling parameters; performing self-adaptive variable grid processing on the velocity model, determining a mapping relationship between coordinate systems, and determining a wave equation under variable grid based on the mapping relationship; performing self-adaptive variable grid processing on the velocity model, determining a mapping relationship between coordinate systems, obtaining the underground medium longitudinal wave velocity, transverse wave velocity and density after variable grid, determining a wave equation under variable grid based on the mapping relationship, and generating final regular grid horizontal direction longitudinal wave field, horizontal direction transverse wave field, vertical direction longitudinal wave field and vertical direction transverse wave field information by using the mapping relationship reversely according to the wave field information in each direction at a specific moment after the variable grid, so that the memory occupation is small and the calculation speed is faster.