24 results about "Seismic wave propagation" patented technology

This invention discloses an artificial intelligence-based emergency drill visualization generation system, belonging to the technical field of data visualization. It includes a marking module, a judgment module, and an association module. The marking module marks the first and second timestamps of buildings. The judgment module determines whether to perform a display or rendering operation. The association module performs association operations based on the judgment results. This invention achieves synchronous visualization mapping between the drill process and the evolution of the disaster situation through a dual timestamp comparison mechanism. By setting a three-level state judgment logic, it achieves automatic phased switching of the disaster response. Through the sequential construction and coverage update of P-wave diffusion rings and S-wave diffusion rings, it can dynamically display the spatiotemporal diffusion process of seismic wave propagation centered on the epicenter, intuitively presenting the spatial evolution trend of the disaster over time.

This invention discloses a modeling method for layered soft soil subgrades reinforced with pile foundations under simulated seismic loading, belonging to the field of seismic numerical simulation in geotechnical engineering. This method constructs a multi-field coupled numerical model based on a finite element platform, defines the contact mechanisms at the pile-soil and reinforced-subgrade interfaces, and completes the construction of in-situ stress equilibrium and initial pore water pressure fields. Static results are output through fill-consolidation coupling analysis. Distributed viscoelastic artificial boundaries are automatically constructed using Python scripts, and seismic waves are converted into equivalent nodal loads using wave theory. Multi-physics field connections between static and dynamic analysis boundaries are achieved, and core response parameters such as embankment settlement and pile-soil stress are output through implicit dynamic analysis. This invention considers the seismic wave propagation effect in layered soils, reduces spurious oscillations caused by the transformation of static and dynamic boundaries, and improves simulation accuracy and efficiency. It is suitable for seismic design and analysis of transportation infrastructure in soft soil areas.

The application discloses a two-dimensional distributed optical fiber sensing full waveform simulation method based on a discrete elastic lattice, and belongs to the technical field of seismic wave field simulation and distributed optical fiber sensing. The application comprises the following steps: receiving seismic wave data of a target geological medium layer; setting a two-dimensional calculation region according to the spatial distribution of the longitudinal wave velocity, the transverse wave velocity and the density parameters of the seismic wave, and taking the two-dimensional calculation region as a numerical simulation carrier of seismic wave propagation; discretizing the two-dimensional calculation region into a plurality of particle nodes, and connecting adjacent particle nodes through elasticity to form a discrete elastic lattice, so as to represent the mechanical properties of the stratum medium; and according to the density parameters, the longitudinal wave velocity, the transverse wave velocity or the equivalent elastic parameters of the stratum medium, the elastic connection between the particle nodes is endowed with corresponding elastic coefficients. The application provides a reliable numerical tool for DAS deployment design, data interpretation and seismological inversion, and can be widely applied to the fields of earthquake monitoring, oil and gas exploration, geological disaster warning and the like.

This invention relates to the field of seismic data processing technology, specifically disclosing a method for removing strong reflection shielding in hidden river channels based on adaptive hybrid L0-L1 norm. The method includes: first, establishing an optimization objective function based on Bayes' theorem using hybrid L0-L1 norm; second, dynamically adjusting the L0-L1 norm weights using an adaptive weight function driven by the seismic signal, combined with reflection coefficient amplitude and residual information, enhancing sparsity constraints in strong reflection zones and reducing constraint strength in weak reflection zones; then, constructing a convex upper bound for the objective function using a minimization framework, and solving it iteratively in stages using an accelerated rapid iterative threshold shrinkage algorithm, while incorporating prior knowledge of seismic wave propagation laws and river channel deposition patterns to ensure the geological rationality of the solution. This invention solves the technical problems of traditional sparse processing methods, such as fixed parameters, lack of geological constraints, and inability to simultaneously address strong reflection suppression and weak signal protection, significantly improving the separation accuracy of strong reflections and the recovery rate of weak signals, effectively overcoming the strong reflection shielding effect.

The application discloses a low-frequency broadband seismic metamaterial filled with a five-mode dot array core and a design method thereof. The seismic metamaterial is composed of a five-mode dot array core, a concrete hollow pipe and an outermost soil layer. The five-mode dot array core is composed of a plurality of hexagonal crystal system units arranged periodically. The hexagonal crystal system unit is connected by an axial direction and is obtained by space structure conversion. The hexagonal crystal system unit is arranged periodically to form a three-dimensional dot array core structure composed of a plurality of hexagonal crystal system units. The low-frequency broadband seismic metamaterial filled with the five-mode dot array core can form a low-frequency broadband in a target frequency band. The seismic metamaterial is arranged in a vibration isolation area underground. When a seismic Rayleigh wave propagates to the area, the wave energy is significantly weakened under the action of a forbidden band, so that effective isolation and attenuation of the Rayleigh wave can be realized under the condition of a limited space.

This invention relates to the field of numerical simulation and computational technology for seismic wave propagation, and discloses a method and apparatus for generating seismic ground motions based on target spectra and Green's functions. It aims to address the difficulty in achieving a balance between physical consistency, computational efficiency, and spectral compatibility in existing methods. The scheme mainly includes: preprocessing environmental noise records and extracting empirical Green's functions through unsupervised clustering; constructing a spatially continuous propagation tensor by performing depth correction and gradient interpolation based on surface wave eigenfunctions; discretizing the kinematically finite fault model into sub-source units and generating long-period seismic ground motions including path effects using propagation tensor convolution; optimizing source parameters through Bayesian inversion using the GMPE target spectrum as a constraint; and finally generating high-frequency components and fusing them with the long-period waveform to obtain a broadband seismic ground motion time history. This invention achieves a unification of physical propagation mechanisms and statistical spectral constraints, significantly improving computational efficiency while ensuring spectral compatibility, and is particularly suitable for basin areas.

The application provides a seismic motion simulation method based on a stochastic finite fault model. The method comprises the following steps: determining an equivalent magnitude and an equivalent epicentral distance from different exceedance probability levels of a target area, determining geometric parameters of a fault model according to the equivalent magnitude, wherein the geometric parameters comprise a fault burial depth, a fault plane size and a number of sub-faults; dividing the fault plane into a plurality of sub-faults according to the number of sub-faults; calculating rupture propagation time and seismic wave propagation time of each sub-fault to an observation point by using a bilateral rupture mode; generating a seismic motion time history of each sub-fault by using the stochastic finite fault model; introducing a frequency attenuation factor and a path attenuation factor to correct the seismic motion time history; and superimposing corrected seismic motion time histories corresponding to all sub-faults to generate a seismic motion field of the target area. The technical scheme provided by the application realizes fine simulation of a fault rupture process based on a multi-probability scenario, and improves the physical rationality and spatial resolution of target area seismic motion field prediction.

The application discloses a kind of microseismic event precision positioning method and system based on knowledge enhanced model, comprising the following steps: collecting the waveform signal of downhole and surface multi-array geophone, obtaining spatial coordinates and synchronous clock information, generating propagation time field representing seismic wave propagation;Determine the spatial constraint range, set continuity and velocity condition to form knowledge constraint domain;Geometric energy model of propagation time distribution is established in the constraint domain, and the propagation time field is iteratively updated by variational solution, and converges to stable space-time manifold;Identify the point that meets the condition on the manifold as the location and time of microseismic event, and according to local residual and noise level, grid refinement and recalculation are carried out, and the reliability evaluation of event positioning result is completed.The application is based on knowledge enhanced propagation time field modeling and variational manifold solution, and realizes high-precision positioning and reliability evaluation of microseismic event in complex geological environment.

The application belongs to the technical field of earthquake prevention and disaster reduction, and proposes a seismic isolation and damping system based on spatial arrangement of trees. The system comprises a density gradient tree arrangement area, a periodic tree array area, a target protection area and a buffer transition zone. The density gradient arrangement area is located at the front end of the system, and the tree density gradually increases along the direction of seismic wave propagation, which is used to realize impedance smooth transition and guide wave energy into the array area; the trees in the periodic array area are arranged at equal intervals to form a quasi-periodic elastic structure, which is used to produce Bragg scattering band gap effect, reflect and dissipate seismic waves of a specific frequency band; the target protection area is used to arrange buildings or infrastructure that need to be protected; the buffer transition zone is arranged between the array end and the target area, which is used to absorb residual wave energy and reduce echo amplification effect. The application constructs a green, low-cost and sustainable natural seismic isolation system, which has good seismic wave control effect and engineering adaptability.

The application discloses a kind of stable and efficient seismic wave propagation vector determination method and device, the method includes: first according to finite difference method, the acoustic wave equation is solved to obtain seismic wave field data;Then based on the seismic wave field data, the spatial domain gradient of seismic wave field at a time, the time domain integration of seismic wave field at a time and the spatial domain gradient of the time domain integration of seismic wave field at a time are calculated;Finally, according to the seismic wave field data, the spatial domain gradient of seismic wave field at a time, the time domain integration of seismic wave field at a time and the spatial domain gradient of the time domain integration of seismic wave field at a time, determine the seismic wave propagation vector.Compared with traditional Poynting vector, the oscillation phenomenon existing in traditional Poynting vector is eliminated, and the calculation complexity is relatively low.

The application discloses a fractional-order viscous wave equation numerical simulation method, system and device, relates to the technical field of seismic wave propagation numerical simulation, and comprises the following steps: substituting a wave equation plane wave solution into a fractional-order Laplacian operator finite difference formula to obtain a generating function corresponding to the finite difference formula; replacing regular grid finite difference coefficients with optimized regular grid finite difference coefficients, performing inverse Fourier transform on the generating function to obtain optimized difference coefficients; based on the optimized difference coefficients of the finite difference formula and the fractional-order Laplacian operator finite difference formula, performing numerical dispersion on a preset fractional-order Laplacian viscous wave equation to obtain a fractional-order Laplacian viscous wave equation finite difference wave field recursion formula of seismic wave field data, and then simulating seismic response characteristics in an attenuation medium. The application can efficiently simulate numerical values of seismic response characteristics in the attenuation medium.

This disclosure relates to the field of seismic imaging technology, and particularly to a normal fault modeling and seismic imaging method, device, and computer-readable storage medium. The method involves constructing a geological model containing a granular aggregate, setting initial conditions for the geological model based on information about the normal fault, simulating deformation of the geological model based on applied deformation conditions to obtain a dynamic model of the structural deformation of the normal fault, acquiring the volumetric strain distribution characteristics along the fault deformation zone based on the dynamic model, determining the acoustic characteristic parameters corresponding to the dynamic model based on the volumetric strain distribution characteristics, and determining the seismic profile image of the normal fault based on the acoustic characteristic parameters. This allows for the acquisition of seismic profiles of simulated normal faults, thereby enabling further research on seismic wave propagation patterns and imaging characteristics.

This invention relates to the field of seismic data processing and interpretation, and discloses a method, apparatus, equipment, and storage medium for seismic wave propagation analysis. The method includes: acquiring well-logged synthetic seismic data and field-acquired seismic data indicating well-seismic mismatch in a target well; determining, based on the well-logged synthetic seismic data and field-acquired seismic data, whether the influencing factors of well-seismic mismatch are related to at least one of the dominant frequency and phase of the seismic wavelet; performing numerical simulation of seismic waves based on wave theory to determine whether it is related to seismic wave fluctuations; and determining, based on the well-logged synthetic seismic data and field-acquired seismic data, whether the influencing factors of well-seismic mismatch are related to at least one of the azimuth and incident angle. Seismic wave propagation analysis is performed from five aspects: seismic wavelet dominant frequency interference, wavelet phase change, azimuth, incident angle, one-dimensional convolution, and two-dimensional wave forward modeling, to address the problem of reasonably interpreting well-seismic mismatch.

The application discloses a rock mass blasting vibration control method based on precise delay of digital electronic detonator, which comprises the following steps: S1, detecting the geological characteristics of the rock mass in the blasting area, establishing a blasting seismic wave propagation analysis model and analyzing the propagation law thereof; S2, according to the blasting seismic wave propagation law, optimizing the design of the blasting hole network layout and combining the characteristics of the digital electronic detonator to design the precise delay time between the holes and the rows; S3, according to the hole network layout and the precise delay time, building an initiation network based on the digital electronic detonator; S4, carrying out field trial blasting, and monitoring the blasting vibration parameters and the rock mass crushing effect in real time. The application controls the whole blasting process in six steps, accurately controls the blasting vibration, reduces the cumulative damage of the slope, takes into account the blasting effect and construction safety, is suitable for various complex rock masses, and has a wide application prospect.

The application relates to a BIM-based building seismic information determination method, device and computer. The method comprises the following steps: acquiring regional geological data, regional historical earthquake data and a building structure information model corresponding to a target building; performing seismic wave propagation path simulation on a building site corresponding to the target building according to the regional geological data and the regional historical earthquake data, to obtain building seismic wave field information; performing seismic excitation coupling simulation according to the building seismic wave field information and the building structure information model, to obtain component vibration response information; performing damage prediction analysis on each component in the target building according to the component vibration response information, to obtain each predicted component damage information; and analyzing the structural safety of the target building according to the predicted component damage information and the building structure information model, to obtain building seismic information corresponding to the target building. The method can realize fine and personalized safety design for specific buildings and complex sites.

This invention discloses a method, device, medium, and product for determining shallow velocities in pre-stack depth migration. The method includes: performing angular-domain pre-stack depth migration on seismic data based on a preset background velocity field to obtain omnidirectional common reflection angle gathers and post-stack data volumes, determining similarity spectra and gather curvature; determining analysis points and analysis point analysis windows based on the post-stack data volumes, determining the initial dip angle of the formation based on the similarity spectrum, performing a formation dip angle scan within the analysis point analysis window according to the initial dip angle of the formation, and determining the coherence values ​​between adjacent seismic traces along each formation dip angle direction; determining the formation dip angle of the analysis point based on the maximum coherence value, and determining the seismic wave propagation information of the analysis point based on the formation dip angle; performing travel-time inversion based on the seismic wave propagation information to obtain velocity disturbances and determine the shallow velocity field; using the shallow velocity field as a preset background velocity field, returning to determine the gather curvature of the omnidirectional common reflection angle gathers until the gather curvature meets preset conditions, thereby improving the accuracy of the shallow velocity field.

The application discloses a method and system for determining seismic energy and ground motion amplification coefficient under complex terrain geological conditions based on energy method and artificial intelligence, and belongs to the technical field of earthquake engineering and geotechnical engineering. The method comprises the following steps: determining the energy of a seismic source; calculating the energy attenuation on the seismic wave propagation path; calculating the energy transformation of different geological interfaces; extracting terrain feature parameters and constructing a training database to train a deep neural network to determine the energy distribution coefficient of a complex combined terrain; predicting the energy distribution coefficient of each point of a target site; combining the incident energy of bedrock to calculate the ground motion amplification coefficient and perform energy conservation correction; and finally outputting an amplification coefficient distribution map. The application combines physical mechanisms with artificial intelligence, can efficiently and accurately predict the ground motion amplification effect of complex combined terrains (such as mountain groups and valleys), and the result conforms to energy conservation, so that the application can provide a scientific basis for seismic zoning and engineering seismic design.

The invention provides a three-dimensional velocity model time-depth conversion method and device and a medium, and belongs to the field of geophysical exploration. The method comprises the following steps: step 100, inputting original velocity volume data and carrying out preprocessing; step 200, generating a three-dimensional velocity model; step 300, calculating travel time by a rapid travel method; step 400, calculating coordinate mapping by a windward finite difference method; and step 500, outputting travel time and a coordinate mapping result. According to the method, the velocity model is constructed, the seismic wave propagation travel time of each grid point is calculated by using the fast marching method, and the X, Y and Z coordinates of each measurement point on the seismic wave propagation path are further calculated by using the windward finite difference method, so that the calculation accuracy and efficiency of the seismic wave propagation path are improved; the method is suitable for seismic wave propagation simulation in a complex stratum environment, and provides reliable data support for geophysical exploration.

The present application belongs to the technical field of intelligent seismic exploration, and relates to a kind of passive source seismic data joint intelligent waveform inversion method based on physical guidance, original active and passive source seismic data is preprocessed and then seismic interference reconstruction is carried out, the passive virtual source data obtained is normalized, and passive source data close to active source amplitude is obtained. By building a mapping neural network, and cascading a completely differentiable wave equation forward operator at the network output end to build a physical constraint layer, it can adaptively focus on effective wave field characteristics and strictly follow the dynamics of seismic wave propagation, so as to achieve the purpose of intelligent high-fidelity modeling of complex subsurface velocity structure. By using joint data driving end-to-end to quickly establish a low wave number background velocity model and using a normalized cross-correlation objective function to calculate wave field residuals for physical guidance refinement, high-resolution velocity intelligent inversion is realized under sparse acquisition conditions, and the physical consistency and computational efficiency of the inversion result are greatly improved.

The specification discloses a prediction method, device, readable storage medium and electronic equipment. When a seismic wave propagates to a protected area, a seismic station detects a seismic wave signal, and then, based on the seismic wave signal and station information of the seismic station, a focus position and a magnitude of the seismic wave are predicted, and then, based on the predicted focus position and magnitude, prompt information is sent. It can be seen that the prediction method in the specification can predict the focus position and magnitude of the seismic wave based on the signal of the seismic wave and the station information of the seismic station before the seismic wave propagates to the protected position, and then, based on the predicted focus position and magnitude, prompt information is sent, which can reduce the damage degree of the protected area and protect the personal safety and property safety of users in the corresponding area of the protected area.

The application discloses a high-speed rail seismic data wave field separation method and system using random Cadzow filtering, and belongs to the technical field of exploration geophysics. The method comprises the following steps: collecting seismic data of high-speed rail passing time; estimating seismic wave propagation velocity through Radon transformation; correcting the time difference of the same direction wave field event to obtain aligned data; dividing the aligned data into blocks and randomly rearranging; performing Fourier transformation on the rearranged data and constructing a Hankel matrix; performing SVD decomposition and low-rank reconstruction on the Hankel matrix; reconstructing the frequency domain data block through inverse Hankel operation; performing inverse Fourier transformation and recovering the channel sequence; and extracting and averaging the central channel to obtain unidirectional wave field data. The system comprises corresponding functional modules. The application can effectively separate the mixed wave field of the high-speed rail seismic source, improve the data signal-to-noise ratio, and provide a reliable data basis for underground imaging.

This invention discloses an efficient viscosonic wave attenuation compensation reverse-time migration method based on a weighted function approximation. The method includes: S1, introducing a weighted function approximation to derive a viscosonic wave attenuation equation applicable to finite difference solutions; S2, based on the viscosonic wave attenuation equation, establishing a viscosonic wave compensation equation to compensate for energy attenuation during seismic wave propagation in a viscous medium; S3, implementing an attenuation-compensated reverse-time migration imaging process, wherein the wavefield compensation term is combined with low-pass filtering calculations to achieve wavefield stability compensation; S4, configuring the source and receiver settings to perform reverse-time migration imaging. The method of this invention efficiently achieves wavefield stability compensation and attenuation-compensated reverse-time migration imaging, effectively improving the accuracy and resolution of seismic imaging in viscosonic media.

This invention relates to a method, apparatus, device, and medium for lateral positioning of fiber optic grating vibration sensors. The method includes acquiring seismic waveform data from multiple receiving points on two optical cables using a fiber optic grating vibration sensor based on a parallel dual-cable array, thereby fully utilizing the high sensitivity of the fiber optic grating. Based on the seismic waveform data from each receiving point on each optical cable, the first arrival time of the seismic wave is determined. The location of the seismic source is determined based on the minimum first arrival time of the seismic wave on each optical cable. Based on the first arrival time of the seismic wave, the time difference and the seismic wave propagation velocity are determined. Residuals are calculated by fitting a residual function to obtain all residual values, and the optimal seismic source positioning distance is determined. The lateral positioning result of the seismic source is determined based on the optimal seismic source positioning distance and the location of the seismic source. By deploying two parallel optical cables above the pipeline, the location of the seismic source and the lateral distance are calculated from the collected intrusion vibration data, reducing the false alarm rate of harmless events.

This invention relates to the field of numerical simulation and computational technology for seismic wave propagation, and discloses a method and apparatus for generating seismic ground motions based on target spectra and Green's functions. It aims to address the difficulty in achieving a balance between physical consistency, computational efficiency, and spectral compatibility in existing methods. The scheme mainly includes: preprocessing environmental noise records and extracting empirical Green's functions through unsupervised clustering; constructing a spatially continuous propagation tensor by performing depth correction and gradient interpolation based on surface wave eigenfunctions; discretizing the kinematically finite fault model into sub-source units and generating long-period seismic ground motions including path effects using propagation tensor convolution; optimizing source parameters through Bayesian inversion using the GMPE target spectrum as a constraint; and finally generating high-frequency components and fusing them with the long-period waveform to obtain a broadband seismic ground motion time history. This invention achieves a unification of physical propagation mechanisms and statistical spectral constraints, significantly improving computational efficiency while ensuring spectral compatibility, and is particularly suitable for basin areas.