472 results about "Geophone" patented technology

The invention relates to the technical field of information processing, in particular to a mine microseism positioning control system and method.The mine microseism positioning control method comprises the steps that microseism signals are synchronously collected through a geophone, an accelerometer, an acoustic emission sensor and an optical fiber sensor, and data timestamps are aligned based on a GPS / Beidou clock; blind source separation is carried out on the signals after wavelet filtering, independent seismic source components are extracted, multi-sensor features are fused through a graph neural network, and a space-time joint feature matrix is constructed; classifying micro-seismic event types by using a ResNet-LSTM hybrid model, generating a seismic source coordinate initial solution based on deep reinforcement learning, and iteratively converging to an optimal solution through a particle swarm optimization algorithm; and mapping a positioning result to a three-dimensional geological grid model, simulating an energy diffusion path, triggering a three-level alarm according to the event energy density, and automatically pushing an emergency instruction to a mine safety management system. Therefore, the problem of low precision of the existing mine microseism positioning control system is solved.

The invention discloses an underground space unmanned sensing detection system and method. An unmanned detection carrier platform obtains underground space surface data through a sensing radar holder and an unmanned aerial vehicle; then determining a detection target area according to the acquired data and planning a driving path; meanwhile, ad-hoc network relay nodes are placed at different positions on the unmanned detection carrier platform through a mechanical arm in combination with signal strength, an ad-hoc network is finally formed, and normal communication of the unmanned detection carrier platform and the unmanned aerial vehicle in the underground space is guaranteed; when the unmanned detection carrier platform travels to a target area, a seismic observation system is formed by arranging node type detectors, and an active seismic source and a transient electromagnetic detection device are respectively started, so that seismic wave data and transient electromagnetic data of the target area are obtained; according to the method, perception modeling of the underground space can be realized in an unmanned mode, and the overall detection data of the underground space can be accurately acquired, so that subsequent analysis and processing of the underground space data are facilitated.

The invention relates to a shallow sea seabed node redirection method based on first arrival polarization characteristic constraint, a medium and equipment, and belongs to the technical field of geophysical exploration data processing. The method comprises the following steps that a common detection point gather is extracted from four-component seismic data collected in a simulated or field mode, first arrival time and a propagation azimuth angle are obtained, and a target function is constructed according to seismic record energy distribution, polarization characteristics and P and Z component correlation common constraint in a first arrival time window; solving orientation parameters; and performing orientation correction on seismic data acquired by the seabed nodes. Besides, the detector is redirected by comprehensively utilizing the energy, the polarization characteristic and the P and Z component correlation of the first-motion wave, so that the problems of application condition limitation and insufficient precision existing in a conventional method for redirecting by only utilizing the direct wave and multiplicity of solutions existing in a reflected wave energy method can be solved.

The invention discloses a mining-while-digging earthquake advanced detection system based on distributed optical fiber acoustic sensing. Relates to the technical field of seismic exploration. On the basis of a distributed optical fiber acoustic sensing technology, mining-while-digging seismic detection of a working face is realized by utilizing vibration generated by cutting a coal rock stratum by mining machinery. In the production process, the detector collects vibration data of mining machinery and transmits the vibration data to the server through a network; optical cables are arranged on two sides of a coal face upper and lower crossheading or two sides of a driving face roadway; the demodulator emits pulse laser and transmits the pulse laser to the working face optical cable through the industrial looped network or the independent fiber core, vibration of measuring points at equal intervals of the optical cable is measured, and a measuring data packet is returned to the demodulator through the industrial looped network or the independent fiber core; the demodulator demodulates vibration waveform data and uploads the vibration waveform data to the server; server data processing software carries out noise reduction processing on the waveform, then stores and images the waveform, carries out real-time intelligent interpretation, and realizes detection of a geological structure and an abnormal area in front of a working face.

The invention relates to a coal mine underground roadway surrounding rock state monitoring and catastrophe early warning method, and belongs to the technical field of coal mine safety monitoring. Aiming at the problems of data isolation, response lag and inaccurate catastrophe positioning in the prior art, the invention provides a cooperative monitoring scheme fused with multi-source sensing: constructing a polygon monitoring network through an ad hoc network geophone to perceive surrounding rock deformation in real time, and capturing fracture development characteristics in combination with an anchor rod multi-point separation layer displacement sensor; the millimeter wave radar is triggered to dynamically scan the abnormal area; and a data fusion algorithm is adopted to analyze the deformation gradient and the strain tensor, and accurate positioning of a catastrophe position and evolution trend prediction are realized. The method has the technical effects that the limitation of a single monitoring technology is broken through, the catastrophe positioning precision and the early warning timeliness are synchronously improved, and multi-dimensional decision support is provided for stability evaluation of deep roadway surrounding rocks.

The invention discloses a tunnel surrounding rock comprehensive elastic modulus testing method and system based on a surface wave method, and relates to the technical field of tunnel surrounding rock elastic model testing, and the method comprises the steps: collecting surface wave signals through detectors in a plurality of detection holes preset in a tunnel wall on the premise of exciting a seismic source signal; performing signal conversion on each preprocessed surface wave signal to obtain a plurality of first signals of a frequency domain type; performing smooth summation processing on the first signals subjected to the linear dynamic correction processing to obtain an output result; obtaining corresponding surface wave energy data through the output result, and obtaining a corresponding surface wave frequency dispersion curve based on extraction of the surface wave energy data; according to the surface wave dispersion curve, surface wave velocities of different depths in the surrounding rock are obtained through inversion, and the comprehensive elastic modulus of the tunnel surrounding rock is obtained through calculation based on the surface wave velocities; testing is carried out based on a surface wave method, drilling and coring are not needed, and the method has the advantages of high testing efficiency, low cost, small disturbance to surrounding rock and the like.

The invention discloses a tunnel earthquake advanced detection method based on observation system optimization and angle domain reverse time migration imaging, and the method specifically comprises the steps: 1, setting an observation system with the same shot-geophone point in a tunnel, and carrying out the collection of a tunnel earthquake record; 2, constructing a rectangular grid geologic model; 3, solving a tunnel seismic source seismic wave field; 4, solving a tunnel detector seismic wave field, and obtaining a tunnel reverse time migration imaging result; step 5, solving a Poynting vector # imgabs0 # of the seismic wave field of the tunnel seismic source and a Poynting vector # imgabs1 # of the seismic wave field of the tunnel detector; step 6, obtaining a tunnel seismic source seismic wave field and a tunnel detector seismic wave field of an angle domain; and step 7, obtaining a high-precision imaging result. According to the method, the imaging precision of tunnel advanced detection can be effectively improved, so that the front geological structure can be identified more accurately.

The invention discloses a dam disease three-dimensional nondestructive detection method, a storage medium and computer equipment, and relates to the technical field of geophysical detection.The dam disease three-dimensional nondestructive detection method mainly comprises the steps that a seismic source and a detector are used for detecting a target dam to obtain seismic data; obtaining first arrival travel time by using an improved self-correlation constraint energy ratio method, constructing an underground medium wave impedance initial model by using a back projection algorithm, performing forward modeling calculation to obtain theoretical travel time, and correcting an average slowness value in each grid by using a joint iteration method to obtain a corrected underground medium wave impedance model; and stopping iteration when the iteration is ended to obtain a dam disease three-dimensional nondestructive detection result. By implementing the dam disease three-dimensional nondestructive detection method, the storage medium and the computer equipment provided by the invention, the position of a dam hidden danger can be quickly, efficiently and accurately detected.

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 invention discloses an intelligent positioning method and system for a microseism event. Intelligent positioning of the microseism event is realized by combining a convolutional neural network and probability density function mapping. Comprising the following steps: according to a work area speed model, generating four-dimensional training data representing detector coordinates and seismic phase arrival time and a three-dimensional label representing a seismic source position through Poisson disk sampling and a Gaussian probability density function; designing a convolutional neural network structure, optimizing network weight through back propagation, and constructing a micro-seismic event intelligent positioning model; and inputting actual data into the positioning model to obtain probability density distribution of the seismic source in a three-dimensional space, and finally outputting a high-precision seismic source positioning result through peak value extraction. According to the method, the observation system is creatively integrated into network input, and the strong nonlinear feature extraction capability of the convolutional neural network is combined, so that the generalization capability of the positioning model to different observation systems and the robustness to detector coordinate deviation and arrival time error are remarkably improved.

The invention relates to the technical field of geological exploration, and discloses a thick loess highland coal field three-dimensional seismic exploration method, which comprises the following steps: S101, acquiring an artificial seismic source shot seismic record and superficial Rayleigh wave detector data; s102, performing grid division on the target area, and setting parameters to be inverted; s103, performing vertical ray path time estimation, multi-layer medium dispersion forward modeling and post-stack energy estimation; s104, generating a multi-target error function according to the head wave arrival time observation value, the Rayleigh wave observation dispersion curve, the theoretical ray path time, the phase velocity and the post-stack energy; s105, dividing the target region into three sub-regions, and performing differential evolution iteration until local convergence; s106, establishing a plurality of parallel annealing chains, setting chain temperatures, progressively decreasing the chain temperatures, optimizing to-be-inverted parameters, and outputting optimal to-be-inverted parameters; and S107, calculating the static correction time difference and the absorption compensation coefficient of each acquisition point. The coal seam structure imaging precision and the exploration data reliability under the complex earth surface condition are improved.

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

The invention discloses a mine vector excitation and slot wave receiving system and an exploration method thereof. The mine vector excitation and slot wave receiving system comprises a slot wave excitation device and a slot wave receiving device, the slot wave excitation device comprises a plurality of phase control array excitation units, and each phase control array excitation unit is composed of a plurality of controllable CO2 seismic sources which are linearly arranged at equal intervals; the slot wave receiving device comprises a plurality of detectors, when slot wave detection is carried out, slot waves are excited through the controllable CO2 seismic sources in the phase control array excitation units, the slot waves pass through a coal seam from a roadway on one side to reach a roadway on the other side to be received by the detectors, and coal seam exploration data are obtained. According to the invention, by arranging the plurality of phase control array excitation units and delaying phase control vector excitation, accurate detection and positioning of the concealed structure in the coal seam can be realized on the premise of ensuring safe construction and a relatively large detection range.

The invention discloses an omnidirectional geophone inclination angle calibration method and system, and a computing device. The method comprises the following steps: enabling an X component, a Y component and a Z component of an omnidirectional geophone to coincide with an X axis, a Y axis and a Z axis of an accelerometer respectively; the polarity of each component of the omnidirectional geophone is correspondingly consistent with that of each component of the accelerometer; the positive and negative directions of the X axis, the Y axis and the Z axis of the accelerometer are made to coincide with the gravity acceleration direction, and acceleration values output by the accelerometer in the six postures are obtained; calculating an acceleration calibration coefficient of the accelerometer based on the obtained acceleration value; based on the acceleration calibration coefficient, calibrating an acceleration value output by the accelerometer in any attitude; calculating an inclination angle value of the omnidirectional geophone based on the calibrated acceleration value; and calculating a seismic data calibration matrix of the omnidirectional geophone based on the dip angle value and calibrating seismic data output by the omnidirectional geophone. The method can eliminate the influence of the attitude of the omnidirectional detector on the output seismic data.

The invention belongs to the field of seismic data processing, and discloses a seismic data augmentation method and system based on an adversarial network and semi-supervised learning, and the method comprises the steps: collecting a seismic signal through a seismic detector, obtaining time series data, and obtaining real seismic data after data preprocessing; generating unlabeled seismic data according to the real seismic data and the constructed data generation module; marking the unmarked seismic data by using the constructed data marking module to obtain seismic data with a pseudo tag; and forming a new seismic data set by manually marking the seismic data with the labels and the seismic data with the pseudo labels so as to realize the augmentation of the seismic data. On the premise of ensuring the data quality, the seismic data set construction efficiency is greatly improved, and powerful data support and technical guarantee are provided for seismic signal processing.

The invention provides a sandstone type uranium mine seismic exploration device and method, and the device comprises a plurality of artificial seismic sources and a plurality of detectors which are disposed on the ground surface of a detected region. The detector comprises at least three detection units. Each detection unit comprises a support, a fixing piece, a detection piece and a guide rail. The fixing piece is connected with the support, the guide rail is connected with the support, the detection piece is movably connected with the guide rail, the fixing piece is parallel to the detection piece, and the orthographic projection of the fixing piece and the orthographic projection of the detection piece are overlapped in the thickness direction of the detection piece. The earth surface grid is used for separating the earth surface of the measured area along the first reference direction and the second reference direction; the surface grid comprises a plurality of grid nodes; the artificial seismic sources are arranged on the grid nodes in an array mode in the first reference direction and the second reference direction, and a plurality of grid nodes are arranged between every two adjacent artificial seismic sources; and the detectors are arranged at the other grid nodes. The accuracy of the exploration result can be improved.

The invention discloses a viscoelastic wave reverse time migration imaging method based on finite difference algorithm solution, and the method comprises the steps: S1, combining with the complex modulus of a constant Q model, and deriving a viscoelastic wave attenuation equation suitable for finite difference algorithm solution through introducing weighting function approximation; s2, establishing a viscoelastic wave compensation equation by introducing a compensation item for compensating energy attenuation when seismic waves are propagated in a viscoelastic medium, and combining the wave field compensation item with low-pass filtering for calculation to realize stable compensation of a wave field; s3, performing longitudinal and transverse wave field separation on the seismic source wave field and the detector wave field; s4, applying a seismic source normalization cross-correlation imaging condition to the separated wave field to obtain an attenuation compensation reverse time migration imaging result; and S5, setting a seismic wave excitation source and a signal receiving device for wave field data acquisition. The method provided by the invention can effectively improve the precision and resolution of seismic imaging in the viscous medium.

The invention provides a multidirectional shallow well microseism monitoring seismic source positioning method. The multidirectional shallow well microseism monitoring seismic source positioning method comprises the following steps: step 1, arranging a multidirectional shallow well observation system to continuously collect fracturing microseism monitoring records; step 2, event identification and seismic phase first arrival pickup are carried out on the continuous micro-seismic monitoring records; step 3, carrying out polarization analysis on the microseism event, calibrating the orientation of the detector, and calculating signal-to-noise ratio information of the seismic phase of each stage of detector; and 4, setting a focus position search range, performing focus optimization on the events one by one, and taking the minimum value of the target function as an optimization target to obtain focus positioning results of all the events. According to the multidirectional shallow well microseism monitoring seismic source positioning method, mass weights recorded by different detectors are considered to construct an inversion positioning objective function to realize seismic source positioning, so that the positioning error of a microseism event can be reduced, and the reliability of fracture explanation is further improved.

The invention provides a crack prediction method and device based on seismic data, and the method comprises the steps: dividing the seismic data into a plurality of fan-shaped regions according to a shot point and a detector azimuth angle, and determining an azimuth domain common imaging gather of a converted wave in each fan-shaped region; carrying out fast and slow shear wave separation on the orientation domain common imaging gather, and determining a fast shear wave gather, a slow shear wave gather and an included angle between the crack trend in each stratum crack and the main measuring line direction of the detector; according to the fast transverse wave gather and the slow transverse wave gather, the development direction of the crack of the target stratum is determined; converting the azimuth domain common imaging gathers corresponding to the fast transverse waves and the slow transverse waves into snail gathers according to the azimuth and offset of the fan-shaped region, and correcting the time difference of each gather in the snail gathers; and determining the density of the crack based on the time difference, and determining the development index of the crack according to the density.

The invention provides a phase change blasting excitation seismic wave reflection method, a medium, equipment and a product, and relates to the technical field of tunnel engineering, the method comprises the following steps: arranging a detection hole and a plurality of blasting holes in a tunnel face, placing blasting tubes in the blasting holes, placing detectors in the detection hole, and generating seismic waves through phase change blasting; carrying out longitudinal wave and transverse wave separation on seismic wave signals detected by a detector, processing longitudinal waves and transverse waves by adopting a two-dimensional F-K digital filtering method, filtering interference waves, separating effective waves and direct waves, and dividing a data set of the effective waves into a training set and a test set; building a prediction model of the unfavorable geological disaster body in front of the tunnel face based on a support vector machine, and obtaining optimal parameters of the model by using a particle swarm algorithm; and training and testing the model by using the training set and the test set, and applying the tested model to tunnel geological forecast. According to the method, the accuracy of advanced geological forecast of the gas tunnel is improved, and the gas explosion risk is reduced.

The invention discloses a three-component detector azimuth correction method, device and equipment based on multi-event fusion and probability weighting, a medium and a product, and relates to the technical field of geophysical exploration. The method comprises the following steps of: after acquiring at least two seismic signals recorded by a target three-component detector and generated by utilizing at least two active source events, acquiring a corresponding initial azimuth calibration angle for each active source event; the method comprises the following steps: acquiring a calibration angle, distributing a corresponding weight for the calibration angle according to a signal quality index calculated based on a corresponding seismic signal, fusing all the calibration angles according to all the weights to obtain a final azimuth calibration angle, and finally performing coordinate rotation correction on original horizontal component data by using the final azimuth calibration angle. Therefore, by introducing a weighting mechanism based on signal quality, higher-precision and more reliable azimuth correction can be realized, the seismic data quality and the reliability of subsequent interpretation are improved, and practical application and popularization are facilitated.

The invention belongs to the technical field of pile foundation construction, and particularly relates to a scene sound analysis method for interaction of a pile and a karst cave in a construction process, which comprises the following steps of: step 1, high-precision karst cave form detection: arranging crossed measuring lines with the pile foundation as a center, the length of the measuring lines being more than or equal to 20m and the spacing being less than or equal to 1m, synchronously adopting a high-energy acceleration tamper and the impact energy being more than or equal to 50kJ, active source surface waves are excited, the impact frequency ranges from 2 Hz to 5 Hz, environment noise is collected to serve as passive source surface waves, a three-component detector array is used for receiving, and the sampling rate is larger than or equal to 500 Hz. According to the method for analyzing the interaction scene sound of the pile and the karst cave in the construction process, by setting the method for analyzing the interaction scene sound of the pile and the karst cave in the construction process, wave velocity changes in the vertical direction and the horizontal direction and anomalies in high-speed and low-speed areas are analyzed, and the thickness of a covering layer and the burying depth of bed rock are deduced; the development depth, the scale and the space distribution condition of the monolith and the karst caves are determined.

The invention relates to the technical field of automatic measurement, and particularly discloses an artificial earthquake excitation moment automatic measurement device and method. A piezoelectric acceleration sensor is used for converting a vibration signal into a detection electric signal, and a data acquisition card is used for processing the detection electric signal to obtain seismic waveform data; the method comprises the following steps: acquiring seismic wave data, marking a GPS timestamp on the obtained seismic wave data, and analyzing the seismic wave waveform data by adopting a long and short time window algorithm to capture the characteristic change of the seismic waveform so as to determine the artificial seismic excitation starting moment. Through the mode, the problem of phase shift in excitation response of the moving-coil detector is avoided, high-precision automatic measurement of the artificial earthquake excitation moment can be realized, and the actual use is simple and convenient.

The present application relates to geological exploration technical field, disclose a kind of thick loess plateau area coalfield 3D seismic exploration method, comprising the following steps: S101, artificial seismic source shooting record and superficial Rayleigh wave detector data are collected;S102, grid division is carried out to target area, and set to be inverted parameter;S103, vertical ray path time estimation, multilayer medium dispersion forward and poststack energy estimation are carried out;S104, according to first wave arrival time observation value, Rayleigh wave observation dispersion curve, theoretical ray path time, phase velocity and poststack energy generates multi-target error function;S105, target area is divided into three subdomains, differential evolution iteration is carried out, until local convergence;S106, establish a plurality of parallel annealing chain, set chain temperature and gradually decrease by chain, optimize to be inverted parameter, output optimal to be inverted parameter;S107, the static correction time difference and absorption compensation coefficient of each acquisition point are calculated.The present application improves coal seam structure imaging precision and exploration data reliability under complex surface conditions.

The invention provides a three-dimensional scattering imaging method, device and equipment and a storage medium, and relates to the technical field of seismic wave imaging, and the method comprises the steps: collecting seismic wave data through a three-component detector, carrying out the polarization analysis, obtaining the actual path data of scattered waves, constructing a common scattering point gather of each preset underground scattering point, and obtaining a common scattering point gather of each preset underground scattering point; when the common scattering point gather is constructed, the amplitude is adaptively weighted according to the consistency of theoretical path data and actual path data of a seismic trace, and then imaging is performed based on the common scattering point gather to obtain an imaging result including the underground scatterer. According to the method, by introducing path consistency weighting, the common scattering point gather quality and the imaging precision are remarkably improved.

This utility model belongs to the field of geophysical exploration technology, and in particular to a downhole geophone for geophysical exploration. It includes a detection well and a connecting frame disposed on one side of the detection well. The connecting frame is connected to a connecting column via a connecting line. The connecting column is connected to the inner surface of the outer shell. Through the action of the outer shell, the support, and the guide wheels, this device can achieve stable transport and retrieval of the geophone, enabling stable geophone detection and ensuring it remains on the central axis of the detection well. This effectively guarantees the accuracy of the acquired data. In the event of borehole collapse, tension can be applied to the connecting column via the connecting line. Under the action of external resistance, the outer shell, in conjunction with the guide cylinder compression spring, and the lifting of the geophone, achieves the retrieval of the support, reducing resistance during retrieval and providing convenience for recovery.

The present invention discloses a method and system for self - locating micro - seismic events in mines without a priori velocity structure, which realizes the integration of underground velocity structure inversion and seismic source location by jointly using micro - seismic signals and surface - wave interference noise generated during the mining process. It includes: arranging a surface geophone array to collect mixed micro - motion and micro - seismic signals; extracting the surface - wave dispersion curve to invert the S - wave velocity model of the formation, and further constructing a P - wave velocity model when the Poisson's ratio of the formation in the known geological data is available; picking seismic phases after denoising the micro - seismic signals and obtaining the P - wave and S - wave first - arrival times; constructing an objective function with the first - arrival times, seismic source location, earthquake - occurrence time, and velocity model as parameters, and achieving precise location through the optimization of the objective function. The present invention avoids the on - site acoustic logging construction in the early stage of the mine, makes full use of the surface - wave interference noise, improves the utilization rate of monitoring data, and realizes the location of micro - seismic events in mines without a priori velocity structure.

A high-iron karst geological section comprehensive parameter fine automatic exploration system, including walking wheels, drill bit electrodes, drill bit detectors, drill bit magnetic excitation systems, electrode rotation systems, detector rotation systems, magnetic excitation rotation systems, liquid injection systems, control systems, multi-parameter interpretation systems, power systems, and wireless communication systems; the present application is based on the resistivity method and the wave velocity method, and can be used to explore any depth stratum that can be reached, independent of each other and mutually corroborating to reduce the karst geological multiple solutions, Rayleigh waves and electrical signals can transmit the most suitable signal type and strength according to the geological conditions at the set depth, which can realize the fine and automatic exploration of karst geology and improve the exploration efficiency. The present application also corrects the geological classification method in karst areas, and the corrected method can fully consider the development and particularity of karst, providing a method for the automation of high-iron geological exploration in karst areas and avoiding human errors.

The invention discloses a drill seismic source signal acquisition method and device, equipment and a medium, and relates to the technical field of seismic exploration. The method comprises the following steps: in an underground excitation process of an earthquake while drilling, respectively arranging a first seismic detector and a second seismic detector in a preset range of a drill bit and a preset range of a wellhead so as to obtain a corresponding first seismic wave reference signal and a corresponding second seismic wave reference signal; determining a seismic wavelet signal based on the first seismic wave reference signal and the second seismic wave reference signal, and generating a target seismic record by using the seismic wavelet signal and seismic wave data collected by a third seismic detector arranged on the earth surface; and processing the target seismic record by using a compressed sensing inversion technology to obtain a target drill seismic source signal. According to the technical scheme of the invention, the drill seismic source signal with high resolution and signal-to-noise ratio can be obtained.

The present application relates to a kind of shallow sea seabed node redirection method based on first arrival polarization characteristic constraint, medium and equipment, belong to geophysical exploration data processing technical field.The method includes the following steps: extracting common receiver gather from analog or field collected four-component seismic data, obtaining first arrival time and propagation azimuth, according to the energy distribution of first arrival time window, polarization characteristic and P, Z component correlation jointly constrained construction target function;Directional parameter solution and seabed node acquisition seismic data directional correction.In addition, the present application comprehensively utilizes the energy of first arrival wave, polarization characteristic and P, Z component correlation to carry out geophone redirection, can solve the application condition restriction, insufficient precision in the method of conventional only using direct wave to carry out redirection and the multi-solution problem existing in reflection wave energy method itself.