48 results about "QuakeFinder" patented technology

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 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.

This invention relates to the field of seismic source monitoring and discloses a dual-bubble seismic source monitoring method based on marine seismic detection. The method involves deploying a seismic detector array in a target sea area, recording seismic wave data generated by the dual bubbles, using the frequency data of the seismic waves as the first target monitoring data for seismic source identification, and using the propagation velocity of the seismic waves as the second target monitoring data. The method analyzes the arrival time of the seismic waves at different detectors to locate the seismic source. It also analyzes the amplitude attenuation characteristics and propagation path of the seismic waves during propagation to assess the earthquake magnitude and calculate the probability of earthquake occurrence based on the assessed earthquake risk level. This method improves the accuracy of seismic source data acquisition, enables accurate identification and location of the seismic source, and thus improves the accuracy of earthquake probability prediction.

The invention provides an earthquake monitoring device with an early warning function, and relates to the technical field of earthquake monitoring. The top of the transmission connector is connected with a data acquisition early warning station on the ground through a wire, the bottom of the transmission connector is connected with a seismic detector, and the seismic detector is located at the depth of 50-150 meters underground. The transmission connector is sleeved with a rotating sleeve and a sliding sleeve, the sliding sleeve is located at the top of the rotating sleeve, and the rotating sleeve is connected with the geophone. The connecting part of the protective upper cap and the transmission connector is sealed through the small sealing ring, and the connecting part of the protective upper cap and the protective lower shell is sealed through the large sealing ring, so that corrosion caused by groundwater vapor is effectively prevented, and the service life of the geophone is prolonged. The problems that in practical application of an existing earthquake early warning and monitoring device, effective sealing waterproof protection design is lacked, and when the device is in an underground humid and corrosive environment for a long time, internal elements of the device are prone to being affected with damp or eroded by corrosive substances to break down are solved.

The application provides a self-powered seismic detector based on triboelectricity and magnetoelectricity and a manufacturing method thereof. The detector comprises a triboelectricity sensitive unit and a magnetoelectricity sensitive unit which are combined with each other. The triboelectricity sensitive unit comprises an N-type magnet mass, a copper Z-shaped spring base, a PDMS friction pad and a signal lead-out wire. The signal lead-out wire is connected with a wireless data acquisition and conditioning circuit module. A power supply lead-out wire is connected with a power management module. The power management module is connected with the wireless data acquisition and conditioning circuit module. The self-powered cable-free seismic detector based on triboelectricity and magnetoelectricity obtained by using the manufacturing method has the advantages of simple and stable structure, light mass, strong anti-electromagnetic interference ability, high sensitivity, self-power supply and no need of external connecting cable. The detector is convenient for arrangement of field workers of seismic exploration and long-term data acquisition.

The invention provides a roadbed compaction quality real-time evaluation method and system for multi-domain signal processing, and relates to the technical field of roadbed compaction detection, and the method comprises the steps: obtaining a vibration wheel acceleration signal, a roadbed vibration signal and a noise signal; obtaining a vibration wheel excitation signal according to the vibration wheel acceleration signal and the noise signal; according to the vibration wheel excitation signal and the roadbed vibration signal after noise reduction, obtaining a wave velocity dispersion characteristic and an attenuation coefficient; obtaining an energy-compactness quantitative relation according to the wave velocity dispersion characteristic and the attenuation coefficient; generating a depth feature vector according to a wave velocity dispersion characteristic and an energy-compactness quantitative relation; and outputting a real-time compaction degree evaluation result according to the depth feature vector. According to the invention, three-dimensional space global continuous sensing of a vibration wave field is realized through the hexagonal geophone array; a time-frequency-space three-domain cascade noise reduction framework is combined, so that the purity of a vibration signal is improved; based on an online incremental learning mechanism, adaptive modeling during working condition change is realized.

This specification relates to the field of compressed air energy storage technology, specifically disclosing a condition monitoring system and method for underground gas storage facilities. The system includes: an acoustic monitoring well located in the upper part of the underground gas storage facility, equipped with a multi-component shear wave detector for acquiring creep or deformation monitoring data of the roof and surrounding rock; a microseismic monitoring well located in the lower part of the underground gas storage facility, equipped with an underground microseismic detector array for acquiring rupture event monitoring data of the surrounding rock; a fault leakage monitoring device, including a tracer gas injector and a tracer gas detection mechanism, for acquiring surface gas concentration monitoring data; and a data processing device connected to a multi-dimensional monitoring network for performing spatiotemporal correlation and cross-validation analysis on the received multi-dimensional monitoring data to generate a fusion assessment result of the structural integrity status and sealing safety risk of the underground gas storage facility. The above solution enables high-precision monitoring and assessment of underground gas storage facilities.

The invention belongs to the technical field of data processing and analysis, and particularly relates to a soft soil roadbed-oriented compaction quality real-time prediction and multi-dimensional intelligent evaluation method. The method comprises the following steps: step 1, arranging a plurality of vertical component engineering geophones on the surface of a soil body behind a vibrating wheel of a road roller along the advancing direction to form a geophone array, and connecting all sensors to an edge computing gateway for synchronous acquisition; 2, performing filtering processing on the original seismic waveform record acquired by the detector array; 3, establishing an initial velocity model according to the Rayleigh wave dispersion curve, and outputting a final shear wave velocity model; and 4, according to the final shear wave velocity model, extracting a compaction coefficient estimation value and a compaction uniformity variable coefficient of each depth horizon, and according to a preset determination rule, outputting a compaction quality grade. According to the invention, quality detection can be converted into real-time monitoring in the construction process from traditional postmortem sampling inspection, and compaction quality problems can be found and processed in time.

The invention provides a marine resource detection method, device and equipment, a storage medium and a product. The method comprises the following steps: sending an excitation instruction to a seismic source and a seabed electromagnetic transmitter to enable the seismic source to excite seismic wavelets, and sending a current signal by the seabed electromagnetic transmitter; performing signal acquisition on the seismic wavelets and the current signals by using a submarine seismic detector and a submarine electromagnetic receiver to obtain corresponding seismic sampling data and electromagnetic sampling data; constructing a joint inversion model based on cross gradient constraint according to the seismic sampling data and the electromagnetic sampling data; and carrying out iterative solution on the joint objective function of the joint inversion model, and determining an exploration result. By solving the joint model, an imaging result with high geologic structure consistency can be obtained, so that the recognition precision and reliability of exploration targets such as deep-sea oil and gas reservoirs and natural gas hydrates are effectively improved, and an accurate exploration result is obtained.

The application discloses a surface wave dispersion image generation method, medium, equipment and product, relates to the surface wave exploration field, and the method comprises the steps of obtaining a time domain surface wave signal received by a seismic detector, and arranging the time domain surface wave signal according to spatial positions to form a trace gather; performing S transformation on the time domain surface wave signal of each seismic trace to obtain a complex time-frequency spectrum; based on the time-frequency spectrum, extracting a complex frequency spectrum corresponding to main energy of each seismic trace at each frequency point, and performing normalization processing to obtain a phase spectrum; selecting a plurality of trial phase velocities in a preset phase velocity scanning range, and for each frequency and trial phase velocity, coherently superimposing the phase spectrum corresponding to all seismic traces to construct an energy function in a frequency-phase velocity domain; and when the trial phase velocity is consistent with an actual surface wave phase velocity, obtaining a surface wave phase velocity dispersion energy image based on the energy function in the frequency-phase velocity domain. The application can improve the anti-interference ability and stability of surface wave dispersion imaging under complex geological or noise conditions.

The invention relates to an acoustic-seismic combined monitoring method and device for mountain river bed load, and the device comprises a sensing plate which bears the impact of river bed load particles, a seismic detector which collects a vibration signal, and a plurality of microphone elements which independently collect an acoustic signal. The method comprises the following steps of: extracting first-motion waves of a plurality of collected sound signals, passing through the amplitude of each node of a sensing plate, and generating a sound source intensity distribution image, thereby realizing the identification of the spatial position of a bed load on the sensing plate, and calculating a vibration signal wave packet through a system amplitude threshold value; constructing a correlation function to obtain the maximum positive amplitude of a vibration signal wave packet, calculating the particle size of bed load particles, correcting the eccentric error of the vibration signal, improving the recognition precision of the bed load particle size, and further calculating the sediment transport rate in real time. According to the method, the sound signal and the vibration signal are combined, the eccentricity error of the high-frequency geophone signal is recognized and corrected through the spatial position, the recognition precision of the grain size of the bed load is improved through the corrected geophone signal, and inversion calculation of the sediment transport rate is achieved.

This utility model relates to the field of seismic exploration equipment, and more particularly to a novel seismic detector mounting base, comprising a base body. The bottom layer of the base body has X-axis mounting holes along the X-axis for placing the detector assembly, and a bottom-layer set screw for fixing the detector assembly. The middle layer of the base body has Y-axis mounting holes along the Y-axis for placing the detector assembly, and a middle-layer set screw for fixing the detector assembly. The top surface of the base body has Z-axis mounting holes along the Z-axis for placing the detector assembly, and the upper layer of the base body has upper-layer set screws for fixing the detector assembly. This utility model's base can receive seismic wave signals from multiple directions, simultaneously handling high-frequency and low-frequency signals. The overall structure is compact and stable. This utility model is simple to assemble, and after assembly, it ensures the relative installation position of the seismic detector, has good coupling, and provides high accuracy, high resolution, and high precision in seismic wave reception.

The utility model discloses a fracturing downhole parameter monitoring device which comprises a three-component geophone and a placing circular plate which are detachably connected in sequence from top to bottom. The supporting base is of an L-shaped structure, the side wall of the supporting base is connected with the well wall of the fractured well through bolts, and the middle of the bottom wall of the supporting base is connected with the containing circular plate through an automatic correction assembly; the automatic correction assembly comprises a ball sleeve, the upper end and the lower end of the ball sleeve are each of an open structure, and the side wall of the ball sleeve is fixedly connected with the bottom wall of the supporting base through a connecting rod; the ball is rotatably arranged in the ball sleeve, the upper end of the ball is connected with the placing circular plate, the lower end of the ball is detachably connected with a plumb bob, and the center of the placing circular plate, the center of the ball and the axis of the plumb bob are collinear; by means of the characteristic that the placing circular plate, the ball and the plumb bob are coaxially arranged, automatic horizontal correction is carried out on the placing circular plate supporting the three-component geophone; therefore, the three-component geophone calibration device can play a role in quickly calibrating the three-component geophone.

The present invention discloses a method for testing a seismic detector based on the seismic wavelet principle, comprising the following steps: creating a quiet and electromagnetically shielded space to ensure that the free axis of the seismic detector is perpendicular to the ground; selecting a seismic wavelet signal generator and a seismic detector response output recorder; connecting the seismic detector output to the input of an acquisition station during operation; starting a seismic detector pulse test on a seismic instrument in a set manner and recording the pulse; quantifying the waveform characteristics of the pulse response from various aspects such as frequency, phase, amplitude, and time; and using the seismic detector response data tested based on the seismic wavelet principle as an object, quantifying the seismic detector's background noise and the lowest resolvable frequency, and based on the data, calculating the dynamic range of the seismic detector when matched with the seismic instrument and the response frequency band of the seismic detector when matched with the seismic instrument. The present invention can solve the technical problem that the test results of traditional seismic detectors cannot directly reflect the quality of the sensing seismic wavelet.

The invention discloses a surface wave frequency dispersion image generation method, a medium, equipment and a product, and relates to the field of surface wave exploration, and the method comprises the steps: obtaining time domain surface wave signals received by a geophone, and arranging the time domain surface wave signals according to spatial positions to form a gather; performing S transformation on the time domain surface wave signal of each seismic channel to obtain a complex value time-frequency spectrum; based on the time-frequency spectrum, extracting a complex frequency spectrum corresponding to main energy on each frequency point of each seismic channel, and performing normalization processing to obtain a phase spectrum; selecting a plurality of heuristic phase velocities in a preset phase velocity scanning range, performing coherent superposition on phase spectrums corresponding to all seismic traces for each frequency and the heuristic phase velocity, and constructing an energy function of a frequency-phase velocity domain; and when the tentative phase velocity is consistent with the actual surface wave phase velocity, obtaining a surface wave phase velocity frequency dispersion energy image based on an energy function of a frequency-phase velocity domain. According to the invention, the anti-interference capability and stability of surface wave frequency dispersion imaging under complex geology or noise conditions can be improved.

The present application belongs to the field of seismic exploration technology, and specifically discloses a seismic detector and its measurement method. The seismic detector includes a vibrator unit, an upper cover plate arranged parallel to and just above the vibrator unit, and a measuring unit; the lower surface of the upper cover plate is metal-deposited with a first capacitor plate array, and the upper surface of the vibrator of the vibrator unit is metal-deposited with a second capacitor plate array and a metal coil; the vibrator unit is set in a constant magnetic field, and the vibrator unit is electrically connected to the measuring unit; the vibrator unit is used to drive the second capacitor plate array to move relative to the first capacitor plate array when the vibrator moves due to external vibration, so as to generate a capacitance change signal; drive the metal coil to move to generate an induced current signal; the measuring unit is used to measure the seismic signal of the target frequency band based on the capacitance change signal and the induced current signal. Through the present application, seismic signal measurement covering a large dynamic range and a large frequency range can be achieved, while achieving high-resolution seismic signal measurement.

The invention relates to an accurate matching method for a geophone and a seismic instrument, and the method comprises the following steps: S1, determining key matching parameters of the geophone, the key matching parameters comprising output resistance, sensitivity, a damping coefficient and natural frequency; s2, setting the output resistance to be not greater than 1 / 20 of the input resistance of the seismic instrument; s3, the natural frequency is set to be 2.5 Hz so as to adapt to receiving of signals from 1 Hz to 200 Hz; s4, the damping coefficient is set to be 0.707, so that a good temporal-spatial resolution is obtained; and S5, setting the sensitivity to be 160 V / m / s, and enabling the sensitivity to be matched with the maximum allowable input voltage of the seismic instrument. According to the method, the input characteristics of the seismic instrument are fully considered through the matching method, so that when the matched seismic instrument works, the working characteristics of the geophone are basically consistent with the nominal index, and then the seismic signal response effect of the geophone is guaranteed in a full-band mode.

This invention proposes an adaptive transient surface wave exploration method, equipment, and storage medium. The method includes: exciting a seismic source and acquiring measurement data from the seismic source using geophones; acquiring the surface wave dispersion spectrum; the acquisition of the surface wave dispersion spectrum involves: using one geophone as the central channel and the remaining geophones within a defined range adjacent to the central channel as adjacent channels; calculating the surface wave dispersion spectrum based on the measurement data of the central channel and the measurement data of the adjacent channels; and acquiring the subsurface shear wave velocity structure of each geophone channel based on the surface wave dispersion spectrum, thereby obtaining the subsurface shear wave velocity profile across the entire measurement range to complete the exploration. Furthermore, this invention also discloses an adaptive transient surface wave exploration equipment and storage medium. This invention employs distributed cableless seismic geophones and acquires the subsurface shear wave velocity structure of each geophone channel through channel-by-channel inversion, significantly improving the resolution of the final subsurface shear wave velocity profile within the measurement range, greatly satisfying the requirements for refined exploration in complex environments.

The application provides a kind of seabed node data double-detection matching operator calculation method and device, the method includes based on the water depth of excitation point, the propagation speed of seismic wave in water, the propagation speed of seismic wave in seabed and the offset of first arrival direct wave, the range of direct wave is calculated;Linear moveout correction and common receiver point stack are carried out to the hydrophone direct wave and the seismic detector direct wave in the range of direct wave respectively, to obtain hydrophone common receiver point stack data and seismic detector common receiver point stack data;Based on hydrophone common receiver point stack data and seismic detector common receiver point stack data, double-detection matching operator of each receiver point is calculated in the preset time window by least square method.The seabed node data double-detection matching operator calculation method provided by the application can use direct wave to obtain stable and reliable double-detection matching operator, and provide guarantee for subsequent data processing.

The application discloses a dam disease seismic rapid high-resolution detection system with integrated seismic exploration and vehicle, which comprises an electric vehicle and a pneumatic impact seismic source, the pneumatic impact seismic source is installed at the position of the gravity center of the vehicle body of the electric vehicle, the front wheel of the electric vehicle is connected with a vehicle control faucet, the rear wheel of the electric vehicle is connected with a driving device, the driving device is connected with the vehicle control faucet, a one-key seismic starting button is installed on the vehicle control faucet, the one-key seismic starting button is connected with the pneumatic impact seismic source, an operator controls the seismic starting action of the pneumatic impact seismic source and the data acquisition of a seismic data acquisition instrument through the one-key seismic starting button; a computer support is installed at the front end of the vehicle control faucet, and the computer support is used for placing a tablet computer loaded with an upper computer acquisition control system software; the tablet computer is connected with the seismic data acquisition instrument and the pneumatic impact seismic source, and the seismic data acquisition instrument is connected with a seismic detector. The one-key seismic starting button is arranged, the seismic starting action of the pneumatic impact seismic source and the seismic data acquisition of the seismic data acquisition instrument are controlled by one key.

The present invention relates to the field of distributed fiber optic acoustic wave sensing technology and discloses a method for denoising distributed acoustic wave sensing data based on high-quality sparse priors. Multiple spatial points are selected along the fiber optic laying path, and seismic detectors are deployed at each spatial point. By incorporating a small amount of high-quality signals from traditional seismic detectors as input into the deep learning algorithm modeling process, the present invention can further improve the model's denoising performance based on existing intelligent seismic data denoising algorithms. This method can effectively improve the signal quality of seismic data collected by DAS and is applicable to multiple application scenarios requiring DAS monitoring, such as building structure health assessment, geological disaster warning, and underground structure exploration.

The invention discloses a microseismic-seepage coupled real-time inversion method for fracture evolution of a mine water sealing layer. Microseismic and seepage data are collected in real time through the three-dimensional microseismic monitoring sensor array and the seepage monitoring device; establishing a three-dimensional seepage numerical model, and constructing a microseismic-seepage bidirectional coupling mechanism; a Bayesian inversion algorithm is adopted to invert fracture parameters in real time, and the model is corrected; early warning is triggered according to the permeability increment, the hydraulic opening sudden increase rate and the like, and closed-loop feedback is formed; and generating a real-time distribution map, an evolution curve and an early warning report guidance project. The three-dimensional micro-seismic monitoring sensor array comprises a DAS system and a short-period geophone, and a sliding time window spectrum analysis method is used for waveform inversion. The Bayesian inversion algorithm is combined with a Markov chain Monte Carlo method. According to the method, the independent simulation defect is overcome, the model prediction error is reduced by 40%, and real-time accurate inversion of fracture evolution and early warning of the instability risk are achieved.

The invention relates to a method for predicting the trend of a head-on coal seam of a high mechanical construction roadway, which comprises the following steps of: symmetrically arranging two seismic survey lines and a plurality of seismic detectors on a top plate and a bottom plate of a construction roadway of a cantilever heading machine and a digging and anchoring integrated machine to construct an observation system; a rock breaking vibration signal generated by tunneling of mechanical equipment is used as a detection seismic source, and multiple groups of reflected wave signals are acquired to obtain multi-source seismic wave field data; filtering, coherence stacking and ellipsoid focusing imaging processing are carried out on the data, and a reflection energy spectrum and reflection horizon information in front of the working face are extracted; projecting detection results to the same section and picking up reflection points through interactive iterative computation of multiple groups of achievements, and constructing a reflection point sample library; polynomial curve fitting is carried out, and the occurrence area of the coal seam in front of the working face is delineated and predicted by combining the head-on exposed coal seam thickness. According to the method, the self vibration of the construction machinery is used as a seismic source, additional excitation is not needed, and the trend of the head-on coal seam of the high mechanical construction roadway is efficiently and accurately predicted through multi-source data interference imaging and iterative optimization.

The application discloses a bridge site area concealed geological anomaly body exploration method based on a hole-in-fall weight seismic source, a receiving survey line is laid out in a bridge drilling construction survey area, a standard penetration test or a conical dynamic penetration probe ramming rock-soil layer vibration is used as a seismic exploration seismic source in in-situ drilling test, a plurality of three-component seismic detectors are laid out along a bridge longitudinal section or a transverse section axis where the drilling is located and receive the vibration signals, single-shot seismic records are formed by collating, a diffraction wave event horizon generated by a concealed geological anomaly body is identified, a diffraction wave is extracted by using time-frequency conversion and a polarization parameter is solved, a diffraction wave propagation space line is constructed based on a rectangular coordinate, a diffraction wave propagation path nearest point coordinate of a detector pair is determined by using a space straight line projection method, and an inversion result profile is formed by a discrete grid point number statistical heat map, a diffraction wave occurrence position is identified, and the concealed geological anomaly body is explained.

The present application relates to the field of geophysical exploration technology, specifically to a seismic tomography inversion constraint method based on downhole muon density imaging; the method comprises: arranging muon detectors and seismic detectors in an exploration well, arranging a seismic source on the ground to form a well-ground joint observation system; collecting downhole muon flux and track data, eliminating system errors such as casing and well fluid through noise removal and Geant4 simulation correction to generate a high-precision three-dimensional density model; synchronously collecting seismic first arrival travel time data, taking the muon density model as a priori to construct a grid-matched initial velocity model; constructing a total objective function containing seismic travel time fitting, muon density constraint and regularization term, and dynamically adjusting the density constraint weight according to the depth and signal-to-noise ratio; adopting a coarse-scale and fine-scale layered iteration strategy for inversion, outputting a velocity-density coupled model after convergence, and verifying through drilling cores. The present application realizes high-precision muon-constrained seismic imaging.

The invention provides a geophone embedding inclination angle measurement method and device, equipment and a storage medium, and belongs to the technical field of geophysical exploration, and the method comprises the steps: applying a forward excitation current to a geophone, and obtaining a first time corresponding to a forward peak value; applying reverse excitation current to the geophone to obtain second time corresponding to a reverse peak value; determining the maximum stroke of the inertial body based on factory parameters of the geophone; the maximum stroke is the maximum limit distance which can be reached by the displacement of the inertia body; based on the first time, the second time and the maximum stroke of the inertial body, the centrality offset of the inertial body is determined; and determining the embedding inclination angle of the geophone based on the centrality offset and the maximum stroke. According to the geophone embedding inclination angle measurement method and device, the equipment and the storage medium provided by the invention, the embedding inclination angle of the geophone can be accurately obtained.

The utility model provides a geophone assembly and a detection system for advanced geological forecast, and belongs to the field of geophones. The geophone assembly comprises a geophone body and further comprises an installation base, an installation threaded hole used for being in threaded fit with an anchor rod installed on a tunnel rock wall is formed in the installation base, the installation base is provided with at least one adsorption binding face for adsorption of the geophone body, and the adsorption binding face is parallel to the axis of the installation threaded hole. The detection system comprises an anchor rod and a detector assembly which are installed on the rock wall of the tunnel. According to the utility model, the geophone main body is provided with the mounting base, so that the mounting base can be mounted on the anchor rod before detection so as to provide better mounting conditions for the mounting of the geophone main body, and the data acquisition quality is improved.

The present invention discloses a time-reversal downhole seismic imaging method based on emergence angle information, which is applied to the field of seismic data processing and interpretation, and addresses the lack of a time-reversal downhole seismic imaging method based on emergence angle information in the prior art. The present invention utilizes a downhole seismic geophone to acquire three-component downhole seismic data, and performs horizontal component rotation, vertical component rotation, deconvolution, wave field separation, and data flattening processing. The invention utilizes radial component and vertical component data to obtain an emergence angle sequence. Based on the P component data, a root mean square velocity is calculated. Blank depth domain imaging data is generated and recorded as first imaging data. The root mean square velocity is used to convert second R component wave field data into depth domain data. The spatial position of each sample point in each trace is calculated based on a trigonometric function using the emergence angle sequence. The wave field amplitude data in the second R component is projected point by point and superimposed on the first imaging data to obtain final downhole seismic imaging data.

The invention discloses a seismic instrument signal input channel variable impedance device, equipment and a method. The device comprises an impedance matching board and a data acquisition board, the impedance matching plate comprises a plurality of groups of impedance networks which are connected in parallel and have different direct-current impedances; each impedance network comprises an impedance network module and an impedance electronic switch which are connected; the data acquisition board is connected with the multi-path impedance electronic switch and can test the resistance of the connected analog geophone, and the impedance electronic switch of the impedance network needing to be accessed is determined and controlled to be switched on according to the size of the tested resistance and the mapping relation between the preset test resistance range and the direct-current impedance. The impedance of the signal input channel of the seismic exploration instrument is adapted according to the type of the used analog geophone, so that the optimal impedance matching relation is achieved, and the optimal seismic wave pickup effect is achieved. The method is suitable for all known electromagnetic simulation geophones and piezoelectric geophones with different series-parallel connection combination modes and different direct-current resistors.

The application relates to a geophone data processing circuit and a seismic data processing method based on wavelet conversion, and solves the technical problems of low storage speed of seismic wave data detected by an existing geophone and complex data analysis process of an upper computer, and the method comprises the following steps: (1) seismic waves sensed by a geophone are converted into digital signals by an ADS1281 chip and transmitted into a ping-pong buffer area of an STM32F407 single-chip microcomputer through an SPI bus; (2) after the ping-pong buffer area is full, discrete wavelet conversion is performed on the time sequence of seismic data in the buffer area; (3) data output in the step 2 are written into an SDINBDG4 chip in a self-defined format of a MiniSEED standard seismic data exchange format; (4) data in the SDINBDG4 chip are read out through a GL823K card reader and transmitted to the upper computer; and (5) after wavelet conversion coefficients are analyzed by the upper computer, the original seismic data can be restored through inverse conversion of the wavelet conversion coefficients.