112 results about "Wave velocity" patented technology

A distributed ultrasonic monitoring system for an internal fracture process of an ultra-large three-dimensional geological model includes a high-power ultrasonic phase control apparatus, ultrasonic transmitting and receiving integrated sensors, and measurement and control and three-dimensional ultrasonic imaging software. A geometric asymmetric monitoring layout mode is adopted to form a three-dimensional monitoring grid. The sensors are coupled with the three-dimensional geological model using a pre-embedded manner, the sensors according to sequential numbers are connected to the high-power ultrasonic phase control apparatus, and the sensors of each chain sensor array are excited one by one according to a pre-set delay time; and the three-dimensional ultrasonic imaging software inverts and analyzes a three-dimensional wave velocity field of the monitoring areas according to a relationship of echoes, transmission wave signals and the three-dimensional grid, and reflects rock fracture positions and degrees through changes in the wave velocity field.

The application discloses a kind of intelligent recognition and risk assessment method of roadway wall back solution cavity based on multi-scale convolutional neural network (MSCNN) and multi-modal data fusion.The method first synchronously collects ultrasonic wave, ground penetrating radar and microseismic data, after denoising, standardization processing, extracts five kinds of key features such as wave velocity, energy attenuation rate, dielectric constant anomaly, fracture density and energy cumulative slope.Through forward simulation to expand data and construct labeled data set.Finally, multi-modal features are input to MSCNN with three branches for fusion training and identification.The application results show that the method can effectively capture multi-scale complex features, significantly improve the accuracy and robustness of solution cavity recognition, and provide a new solution for concealed anomaly body detection.

This invention discloses an inversion method for S-wave velocity structure based on dense micromotion observations, belonging to the field of geophysical exploration and engineering geological exploration technology. The method includes: acquiring micromotion data; performing segmented preprocessing and cross-correlation calculations; constructing a phase consistency metric function based on the instantaneous phase information of the cross-correlation function for each time period; generating adaptive weighting coefficients; and then constructing an empirical Green's function through weighted superposition. Subsequently, time-frequency analysis is performed to obtain a time-frequency energy map; preliminary extraction of candidate dispersion velocities for each frequency is performed, and their comprehensive confidence level is calculated; after verification, a reliable dispersion curve is obtained. Based on the dispersion curve, a model parameter vector is established, and a joint objective function is constructed. A differential evolution algorithm is used for parallel global optimization inversion to obtain a one-dimensional S-wave velocity structure model below each station pair. The one-dimensional models are interpolated and fused to generate a two-dimensional S-wave velocity structure profile. This invention has the advantages of high inversion stability, high computational efficiency, and a high degree of automation.

This invention discloses a method for the collaborative optimization of turbine governor parameters and hydraulic system parameters. The method involves synchronously collecting multi-source operating data from a hydropower station using a sensor network to construct a hydraulic-governing coupled state-space model. Based on the UKF unscented Kalman filter algorithm, the method identifies the water flow inertial time constant, water hammer wave velocity, and turbine integrated transfer coefficient online, and evaluates the reliability of the identification results using a parameter identification confidence index. In a joint high-dimensional space of the control parameter domain and the hydraulic parameter domain, the method uses regulation quality, hydraulic safety, and grid stability as three objective optimization functions to solve for the Pareto front candidate set, and selects robust parameter schemes using a robust stability margin index. A three-level differentiated push strategy is implemented based on the parameter change amplitude, and real-time monitoring and an automatic anomaly backoff mechanism are implemented during the gradual push process. This invention achieves full-cycle collaborative optimization and safe tuning of hydraulic system parameters and governor control parameters.

The present application belongs to the technical field of oil exploration, and discloses a method for evaluating the development degree of sand-mudstone reservoir-cap assemblage, which specifically comprises the following steps: conducting regional data analysis for a study area, and mastering the core / cuttings data, logging data and oil testing and production testing data of drilled wells, as well as the seismic data and seismic interpretation horizon data of the whole work area; conducting pre-stack deterministic inversion based on Zeoppritz equation to obtain the data body of the ratio of P-wave velocity to S-wave velocity in the work area; extracting the numerical value of the ratio of P-wave velocity to S-wave velocity along the sandstone layer interpreted by the seismic data to obtain the plan view of the sandstone reservoir; extracting the numerical value of the ratio of P-wave velocity to S-wave velocity along the mudstone layer interpreted by the seismic data to obtain the plan view of the mudstone cap rock; quantifying the relative development degree of the reservoir-cap assemblage by a development degree index calculation formula, constructing the plan view of the development degree index of the sand-mudstone reservoir-cap assemblage, and quantitatively dividing the development degree of the reservoir-cap assemblage. The present application can clearly define the development range of high-quality reservoir-cap assemblage, delineate the favorable exploration area, and further guide the well site deployment of exploration wells.

This invention relates to the field of geotechnical engineering investigation and undisturbed sampling technology, and discloses a method for accurately obtaining undisturbed soil samples from boreholes guided by seismic parameters. The method includes the following steps: S1, Exploration data acquisition and identification of key seismic layers: Acquire geotechnical engineering investigation data of the target site. Based on the soil physical and mechanical parameters in the geotechnical engineering investigation data, identify and locate at least one key seismic soil layer that has a controlling effect on the site's seismic response. By constructing a multi-parameter fusion rule base for identifying key seismic soil layers, the automatic identification and location of liquefaction layers, weak layers, and wave velocity interface layers that have a controlling effect on the site's seismic response are achieved. Based on the identification results, the sampling location is dynamically planned to ensure that the sampling range fully covers the top, bottom, and middle sections of the key layer, avoiding the omission of key features due to sampling location deviations in traditional methods. This ensures that the obtained undisturbed soil samples can truly reflect the engineering characteristics of the site's weak points in seismic resistance.

This invention relates to the field of wind turbine structural health monitoring, and discloses an adaptive monitoring method for the attitude of hybrid-tower wind turbines based on operational status feedback. The method includes: synchronously acquiring the wind turbine operational data stream and the original tower attitude monitoring signal; determining the transient aerodynamic thrust based on the operational data stream, and using this thrust to determine the dynamic propagation velocity of the mechanical excitation wave generated by the stress stiffening effect; determining the propagation delay based on the dynamic propagation velocity, and performing a reverse time shift on the monitoring signal to achieve time-domain synchronization; reducing the feedback weight of the measurement update link of the solution model under the unit's operational adjustment state, and outputting the tower attitude data. This invention establishes a mapping relationship between aerodynamic loads and mechanical wave propagation characteristics, achieving precise decoupling between the unit's operational excitation and the tower's actual response, eliminating monitoring data distortion caused by spatiotemporal misalignment, and improving the reliability of safety monitoring for large-megawatt units.

The present application relates to the technical field of nondestructive testing of nuclear power equipment, and provides a nuclear power metal welded joint nondestructive testing method based on ultrasonic phased array imaging and application, comprising calculating the ultrasonic longitudinal wave velocity and transverse wave velocity of the nuclear power metal material; calculating the defect acoustic scattering response distribution under different angles of the organic glass wedge; using an ultrasonic array detection system, identifying bright spot abnormal points in an ultrasonic phased array scanning image and full matrix capture data corresponding to the positions; using a time reversal operator decomposition algorithm to perform signal denoising processing, obtaining denoised ultrasonic array signals; calculating the propagation time of the sound waves emitted by each element of the ultrasonic phased array after refraction through the glass wedge to each grid point, obtaining the Hilbert transform value of each grid point corresponding to the propagation time, and generating an ultrasonic imaging graph of the region; performing delay multiplication superposition and vector coherence factor denoising processing on the imaging data, and obtaining a welded joint nondestructive testing imaging result.

This application discloses a method, device, electronic equipment, and storage medium for assessing the stress state of concrete. By integrating conventional measured stress with simulation analysis results, it achieves precise target locking of the detection target. Furthermore, by utilizing the consistency determination of wave velocity under constant water level, it realizes an efficient and quantitative assessment of the elastic state of concrete in key risk areas of dams.

This invention provides a method, apparatus, device, and medium for predicting formation pore pressure. The method includes: confirming one-dimensional wave impedance data of a single well based on well logging data of a target area; establishing a first relationship model between P-wave velocity and wave impedance based on the one-dimensional wave impedance data of the single well; confirming a first wave impedance data volume using a genetic inversion algorithm based on the one-dimensional wave impedance data of the single well and seismic data; confirming a first wave velocity data volume based on the first wave impedance data volume and the first relationship model; and confirming a formation pore pressure data volume based on the first wave velocity data volume, and predicting formation pore pressure based on the formation pore pressure data volume. This invention predicts formation pore pressure based on the logging characteristics of drilled wells and combined with high-resolution seismic data, taking into account various factors such as regional tectonic background and sedimentary characteristics, thus improving the accuracy of pore pressure prediction for undrilled formations.

The present application relates to the technical field of oil and gas exploration, and particularly relates to a resistivity model to velocity model method and system based on deep learning. The method comprises generating random samples containing resistivity, formation depth and formation wave velocity through a variant of the Faust formula, training a neural network using the random samples, adjusting network parameters, constructing a BP network model capable of mapping each other between resistivity, formation depth and formation wave velocity, obtaining a measured data set to train the BP network model to obtain a resistivity to velocity model, obtaining resistivity values and corresponding formation depths at any regional position in the work area, and inputting the resistivity to velocity model to obtain a predicted acoustic wave velocity model. The present application can accurately output an acoustic wave velocity model of the full region of the underground surface layer, has higher flexibility, accuracy and adaptability compared to traditional methods, and can cope with deeper surface layer complex structures, thereby providing support for seismic data static correction and velocity modeling.

The application provides a tunnel seismic and electrical method joint inversion method and system based on structural constraints, constructs resistivity models and wave velocity models of different detection distances; performs seismic and electrical method single inversion, calculates a structural constraint term for a common joint inversion area of the resistivity model and the wave velocity model according to inversion results; based on the characteristics of the structural constraint, different coefficients are set for the structural constraint term to balance the data term and the structural constraint term, to obtain the final structural constraint term, which is alternately added to the loss functions of the seismic and electrical methods, to obtain respective joint inversion results based on the structural constraint. The application can optimize the tunnel full waveform inversion and improve the effect of the joint inversion.

This invention belongs to the field of oil and gas extraction technology and discloses a method for detecting the effect of temporary plugging of fracture openings in wellbore, comprising: S1, inducing water hammer phenomenon in the fracturing fluid in the wellbore; S2, detecting the real-time pressure signal value P(t) in the wellbore; S3, analyzing the real-time pressure signal value P(t) and plotting a cepstrum; S4, determining whether there are paired peaks based on the cepstrum; if not, stopping; if so, determining the water hammer period between the two peaks in each pair and proceeding to the next step; S5, calculating the average wave velocity C of the fracturing fluid when the water hammer phenomenon occurs in the wellbore, and multiplying the average wave velocity C by the water hammer period to obtain the specific location of the fracture opening. This method for detecting the effect of temporary plugging of fracture openings in wellbore improves the efficiency and accuracy of construction, achieves real-time feedback, and has low detection cost.

This invention relates to the field of mixed-flow turbine technology, specifically to a method and system for identifying risk areas during wide-load operation of mixed-flow turbines. The method includes: acquiring unit operating status parameters and pressure pulsation signals from the draft tube and bladeless zone; decomposing the signals based on variational mode decomposition, filtering vortex band components within a preset frequency band, and calculating the effective amplitude value; obtaining the pressure wave velocity by querying the wave velocity characteristic curve using the guide vane opening, calculating the pressure wave wavelength and geometric position difference, and obtaining the phase resonance risk coefficient; calculating the draft tube vortex band intensity index based on the operating head and the effective amplitude value; comparing the phase resonance risk coefficient and vortex band intensity index with preset thresholds to determine the risk area type of the current operating condition. This invention eliminates the interference of head on amplitude determination through dimensionless processing and corrects the pressure wave velocity, achieving accurate identification of risk areas under wide-load, full-condition operation of mixed-flow turbines.

The invention discloses an inversion method and device for a longitudinal-transverse wave velocity ratio of a coal measure strata, and the method comprises the steps: determining the longitudinal-transverse wave velocity ratio reflectivity of a target interval according to the prestack angle gather data of the target interval, and extracting the attribute data of the longitudinal-transverse wave velocity ratio reflectivity through employing the AVO technology; according to the longitudinal and transverse wave velocity ratio curve, the attribute data of the longitudinal and transverse wave velocity ratio reflectivity and preset wavelet extraction time window parameters, wavelet extraction is carried out on the target layer section through the wavelet extraction technology; the longitudinal and transverse wave velocity ratio curve is determined according to logging data; and according to the wavelet and the attribute data of the velocity ratio reflectivity of the longitudinal and transverse waves, performing post-stack compressed sensing reflection coefficient inversion to obtain an inversion result of the velocity ratio reflectivity of the longitudinal and transverse waves. According to the invention, a stable inversion result of the longitudinal and transverse wave velocity ratio can be effectively obtained.

A three-dimensional reverse-time extrapolation method for seismic waves includes the following steps: picking first-arrival traveltime information of seismic data excited and received by a tunnel wall, and calculating a P-wave velocity and an S-wave velocity of a surrounding rock based on a spacing between shot points; performing three-dimensional reverse-time extrapolation from maximum time to minimum time by using the resulting P-wave velocity and the S-wave velocity as a velocity model, and deploying a virtual geophone on a tunnel face during the calculation to receive a wavefield in the three-dimensional reverse-time extrapolation; and performing autocorrelation imaging on the wavefield after the three-dimensional reverse-time extrapolation, and further converting a seismic wavefield excited by a tunnel wall and received by the tunnel face into a seismic wavefield excited and received by the tunnel face.

This invention discloses a seismic treatment effectiveness evaluation system for thick loess sites, belonging to the fields of geotechnical engineering and earthquake engineering technology. The system comprehensively evaluates the seismic treatment effect by acquiring dynamic characteristic parameters and seismic response parameters of thick loess sites before and after seismic treatment. The system includes a site foundation parameter acquisition module, a dynamic characteristic parameter acquisition module, a loess dynamic degradation characteristic analysis module, a seismic response simulation module, a seismic treatment effectiveness quantification module, and an evaluation result output module. Specifically, it analyzes the loess dynamic degradation characteristics based on parameters such as shear wave velocity, shear modulus, and damping ratio, and acquires seismic response results such as surface acceleration, shear strain, and site amplification factor under the same seismic motion input conditions. By normalizing and weighting the dynamic degradation improvement index and the seismic response improvement index, a comprehensive seismic treatment effectiveness index is constructed, enabling quantitative evaluation and classification of seismic treatment effectiveness.

The application relates to the technical field of compression resistance detection, and discloses a compression resistance detection device and method based on wood board processing. The device comprises a calibration module, an acquisition module, a difference module and a solution module. The difference module comprises a construction unit, a difference unit and an analysis unit. The modules and units sequentially perform calibration, acquisition, difference analysis and wave velocity solution to obtain a wood board three-way anisotropic compression resistance capability atlas. The application improves the representation accuracy of the wood board compression resistance detection conclusion on the mechanical properties under actual processing conditions.

This invention relates to the field of structural engineering testing and discloses a method for the coordinated acquisition and fusion of deflection and strain in static load tests of structural components. The method includes: monitoring local strain physical quantities and calculating real-time strain rate; identifying the strain mutation initiation signal when the strain rate exceeds a threshold; retrieving the relative physical span between sensing nodes and the intrinsic stress wave velocity of the material; calculating the physical lag time; sending a hardware interrupt pulse carrying a time delay parameter to the deflection sensing node; driving the hardware circuit to activate a timing response matching the physical lag time; and capturing the macroscopic deflection physical quantity at the end of the timing. This invention eliminates the perception phase misalignment caused by spatial span by constructing a hardware sampling alignment mechanism driven by physical causality, ensuring that the acquired data conforms to the structural mechanics constitutive relationship, and improving the system's accuracy in identifying structural damage evolution characteristics.

The application relates to a blasting effect evaluation method based on a GNSS high-precision space-time reference, comprising the following steps: acquiring blasting seismic wave signals of multiple blasting sources in blasting operation through multiple measuring points with GNSS high-precision space-time reference arranged in a target rock mass region; extracting P-wave arrival time based on the blasting seismic wave signals of the multiple blasting sources, acquiring multiple groups of blasting event P-wave arrival time data groups corresponding to the same blasting source; determining the expected spatial position of all target blasting sources through blasting source parameter iterative search based on residual evaluation; identifying blind shots and determining the positioning blasting source through the expected spatial position; constructing a rock mass PPV space comprehensive distribution field based on a PPV value set of each positioning blasting source, and determining a rock mass damage region and degree caused by the blasting operation in combination with a wave velocity drop quantitative value; and obtaining a blasting effect evaluation result based on the blind shot identification result and the rock mass damage region and degree caused by the blasting operation. The application can realize accurate and rapid blasting effect evaluation.

This disclosure relates to the field of signal processing technology, and particularly to a method, apparatus, device, storage medium, and computer program for acquiring wave velocity. The method includes: determining an amplitude variation graph of a high-resolution test acoustic signal to be acquired; wherein the amplitude variation graph is used to indicate the relationship between the amplitude of the acoustic signal to be acquired and time; determining a first arrival point and a target time point based on the amplitude variation graph; wherein the first arrival point is used to indicate the amplitude value of the first trough of the amplitude variation graph, and the target time point is used to indicate the occurrence time of the first arrival point; acquiring the docking time between a sensing probe and the device under test; and processing the docking time and the target time point to obtain the wave velocity of the acoustic signal to be acquired.

The application provides a method and system for calculating a brittleness index of a high porosity reservoir and an electronic device, comprising calculating Young's modulus, Poisson's ratio and shear modulus of logging data according to P-wave velocity, S-wave velocity and density in the logging data; calculating Lame's coefficient according to the Young's modulus and the shear modulus; establishing a rock brittleness index equation based on the Young's modulus, the Poisson's ratio and the Lame's coefficient, and obtaining a rock brittleness index through the rock brittleness index equation. The technical scheme of the application has the beneficial effect of providing a new brittleness index for a brittle gas-bearing area with high porosity, which is only related to P-wave velocity, S-wave velocity and density, thereby avoiding the influence of rock porosity, fluid, organic matter and other factors on the prediction of Young's modulus and Poisson's ratio, and having a good indicating effect on a favorable brittle gas-bearing area.

The application discloses an automatic excitation hammer for pile foundation detection by the side-hole transmission wave method and relates to the technical field of pile foundation detection. The automatic excitation hammer comprises a stratum, a detection cylinder arranged on the stratum, a pile foundation arranged in the stratum, a building outer wall arranged on the pile foundation, an excitation hammer for hammering the building outer wall to generate vibration waves of the pile foundation, the excitation hammer and the building outer wall being arranged vertically, and an excitation unit arranged on one side of the excitation hammer, a detection table arranged on the stratum, and an oscilloscope arranged on the detection table. After correction formula calculation, the pile depth corresponding to the inflection point vertical coordinate on a time-pile depth broken line graph is the actual pile depth of the detected pile foundation, so that the depth detection of the pile foundation is completed. Meanwhile, the wave velocity obtained by the straight line slope above and below the inflection point on the time-pile depth broken line graph can also be used to analyze the pile body material and the properties of the soil layer below the pile bottom, respectively.

The present application relates to the technical field of optical fiber sensing and pipeline safety monitoring, and specifically discloses a pipeline leakage point identification and positioning method based on optical fiber vibration signal features, which comprises the following steps: collecting pipeline vibration signals along the line, locking suspected leakage sections based on energy anomaly features, and intercepting double-channel signals to be analyzed; performing dispersion feature analysis on the double-channel signals, determining the geological layer type of the suspected sections through the phase-frequency relationship of mutual power spectrum; for non-uniform geological layer signals, extracting the instantaneous frequency main ridge line through time-frequency rearrangement transformation; realizing nonlinear alignment of feature curves by using a dynamic time warping algorithm, reconstructing the distortion correction signal, and extracting the time delay difference; combining the benchmark wave velocity of dynamic calibration and the hyperbolic positioning method to calculate the spatial position of the leakage point, and simultaneously determining the leakage type based on the cumulative distance threshold and the regularized path features, thereby solving the problems of signal dispersion distortion under non-uniform geological layers, large positioning deviation, and difficult differentiation of leakage types.

This invention discloses a radar level gauge and its temperature and pressure compensation method, belonging to the field of level measurement technology. The method involves transmitting a radar signal into a container and receiving a mixed signal containing a reference echo from a reflector at a fixed distance and an echo from the liquid surface target; identifying the reference echo with predetermined characteristic signals and obtaining its characteristic frequency value; calculating the actual wave velocity in the current gaseous medium based on the characteristic frequency value and the known distance to the reflector; and finally using the actual wave velocity to calculate the actual liquid level height. This method can compensate for wave velocity errors caused by changes in the gaseous medium in real time and adaptively, eliminating the need for external sensors and improving the accuracy and reliability of level measurement.

The application discloses a rectangular roadway strain type disaster simulation test method based on elastic-plastic partition response, relates to the technical field of deep roadway strain type coal burst and gas outburst triggering mechanism research of mining engineering, and comprises the following steps: a coal sample containing a rectangular hole is prepared to simulate a rectangular roadway structure; loads in the horizontal direction and the vertical direction are synchronously applied to the sample to a preset value and are kept to simulate an initial ground stress balance state of the roadway surrounding rock; then, the stress in the horizontal direction and the vertical direction is synchronously removed; the accurate boundary of the elastic-plastic partition of the coal sample containing the roadway is quantitatively determined through gradient measurement of the sound wave velocity after unloading, and reliable structural basis is provided for partition monitoring and mechanism research. Finally, a strain type coal burst of the roadway side is triggered through bidirectional four-face axial quasi-static loading, and the static-dynamic mechanical behavior transition mechanism and the coal burst triggering mechanism are clarified based on the acoustic response, vibration and deformation characteristics of the elastic-plastic surrounding rock.

The application belongs to the technical field of material mechanical property testing and nondestructive testing, and specifically discloses a uniaxial compression ultrasonic stress testing method and device, which comprises the following steps: placing a sample to be tested in a loading device, applying a preload to the sample to be tested and unloading to a zero stress state, collecting the longitudinal wave propagation time, the transverse wave propagation time and the initial length of the sample to be tested in the zero stress state; applying a uniaxial compression load to the sample to be tested, and synchronously collecting the axial load, the piston displacement, the longitudinal wave propagation time and the transverse wave propagation time; calculating the relative change rate of the ultrasonic wave velocity, establishing a coupling relationship model between the uniaxial compression stress and the relative change rate of the ultrasonic wave velocity; and decoupling and inverting the actual stress inside the sample to be tested according to the coupling relationship model. The application solves the problem that the prior art does not fully consider the coupling influence of the microstructure change of the material on the ultrasonic wave signal in the compression process, thereby leading to insufficient precision of the stress inversion model.

The application discloses a shearing device, which comprises a casing, a baffle, a probe and a first driving assembly. The casing is arranged in a pre-drilled hole to form a detection channel, and at least one opening is arranged along the axial length direction of the casing. The probe is arranged in the casing, and the opening is used to ensure that the shear wave generated by a seismic source can pass through the casing and be received by the probe, thereby avoiding the influence or even shielding of the casing on the wave velocity propagation. The baffle is slidably arranged at the opening of the casing along the axial direction of the casing. The first driving assembly can drive the probe and the baffle to move up and down in the casing along the axial direction, so that segmented shear wave velocity tests at different depths can be realized. The positional relationship between the probe and the baffle is limited as follows: (the horizontal distance between the probe and the bottom side of the baffle, the vertical distance between the probe and the bottom side of the baffle, and the repose angle of the accumulated slope body), so that the baffle can block part of the falling material during the upward movement of the probe, the probe is ensured to be located in an area that is not covered by the falling cone, and the probe is prevented from being buried.

This invention relates to the field of predictive maintenance technology and discloses a method for predicting the life of flange seals based on digital twins. The method includes: first, acquiring initial parameters to establish an initial reference acoustic energy density; then, acquiring real-time data to calculate the real-time raw acoustic energy density. Phase cancellation is performed based on the node spatial distance and real-time sound velocity to eliminate interference energy and obtain the decoupled true acoustic energy density. The decoupled density is compared with the reference density and substituted into an exponential model to calculate the microcavitation degradation factor. The degradation factor and real-time temperature are used to modulate the fluid density, thereby obtaining the fluid equivalent wave velocity, and combining this with pressure variables to calculate the asynchronous warping phase difference. The real-time residual clamping stress is obtained by reducing the preload stress based on the cosine value of this phase difference and the acoustic energy attenuation ratio. Finally, the transient fatigue damage evolution rate is calculated based on the residual stress and operating time to estimate the remaining life.