192 results about "Seismic exploration" patented technology

The application discloses a reservoir prediction method and device, electronic equipment and a storage medium, and belongs to the technical field of seismic exploration. The method determines acoustic time difference relationship data, density relationship data, porosity relationship data and water saturation relationship data according to first logging data, then reconstructs impedance relationship data according to the relationship data, determines a seismic wavelet according to first seismic data and the first logging data, and obtains a first data volume and a second data volume based on the reconstructed impedance relationship data, the first seismic data and the seismic wavelet, and fuses middle-low frequency data in the first data volume with high frequency data in the second data volume to obtain a target data volume. The method supplements the missing high frequency data in the seismic data by the high frequency data in the logging data, can predict thin sand layers with relatively thin thickness, and thus improves the prediction effect on the thin sand layers with relatively thin thickness.

This application provides a method and apparatus for identifying anomalies in micrologging interpretation data. The method includes: acquiring the first arrival wave from historical seismic observation data; acquiring the coordinate data of the micrologging well to be identified; performing tomographic inversion on the surface layer based on the coordinate data and the first arrival wave to obtain surface velocities and thicknesses for different surface layers; generating a first velocity-thickness curve based on the surface velocity and thickness; performing tomographic inversion on the micrologging well to obtain a second surface velocity and a second surface thickness; generating a second velocity-thickness curve based on the second surface velocity and the second surface thickness; and determining whether the second velocity-thickness curve is anomaly based on the first velocity-thickness curve. This application can effectively improve the accuracy of micrologging data, thereby improving the quality of single-shot seismic exploration acquisition and the accuracy of static correction calculations in data processing.

This invention belongs to the field of seismic exploration, specifically relating to a method for calculating minimum offset and delay based on direct waves and seafloor reflected waves. The method includes: selecting single-shot seismic data from a flat seafloor location, picking the direct wave travel time, and picking the seafloor reflected travel time of the first data trace at the single-shot location; performing regression fitting on the picked direct wave travel time to fit the direct wave equation, and obtaining the seawater velocity and initial minimum offset based on the direct wave equation; setting an initial delay time range, and calculating the seafloor depth h for each seismic trace at different delay times based on the seawater velocity, initial minimum offset, and seafloor reflected travel time; calculating the 2h variance based on the seafloor depth of the seismic trace, and obtaining the minimum offset and delay time. This invention can quickly obtain the minimum offset and delay time, achieving accurate positioning of seismic data, and the method is simple and easy to implement.

This invention discloses an elastic wave reverse-time migration imaging method guided by stratigraphic dip angle for wavefield separation, relating to the field of seismic exploration technology. The method includes: acquiring an initial velocity model, source wavefield data, and receiver wavefield data for the target geological area; determining multiple stratigraphic dip angles reflecting the trend of subsurface structural changes based on the initial velocity model, and accordingly determining multiple target spatial directions; sequentially resampling, interpolating, and performing Hilbert transform on each wavefield data along each target direction to obtain source wavefield components and receiver wavefield components consistent with each direction; for any subsurface point to be imaged, determining the target spatial direction based on the stratigraphic dip angle corresponding to its vertical position, selecting wavefield components consistent with that direction for zero-delay cross-correlation calculation, thereby obtaining the reverse-time migration imaging result for that point. This method possesses good engineering feasibility and scalability, can be seamlessly embedded into existing pre-stack elastic migration workflows, and is convenient for the promotion and application of two-dimensional / three-dimensional and heterogeneous parallel computing.

This application provides an adaptive seismic acquisition scheme generation method and system. The method includes acquiring a high-density seismic acquisition scheme corresponding to the area to be surveyed; calculating the redundancy of each physical point in the high-density seismic acquisition scheme; determining the maximum redundancy of each physical point based on the redundancy and acquisition cost; selecting a target redundancy less than or equal to the maximum redundancy from the redundancy of all physical points, and using the physical points corresponding to the target redundancy as acquisition points; and generating an adaptive seismic acquisition scheme based on the acquisition points. This application calculates the redundancy distribution of seismic data, omitting physical points with high redundancy in high-density acquisition, allowing for better recovery through subsequent reconstruction algorithms. By acquiring only essential key physical points with low redundancy, it significantly reduces the cost of high-density seismic acquisition while achieving high-density acquisition results, which is of great significance for high-precision seismic exploration.

This invention belongs to the field of seismic exploration technology and relates to a multi-model rapid tomographic imaging method with hard constraints based on physical information. The method includes constructing a PIUFNO network model under hard constraints; using travel time perturbations from different seismic sources and background travel time as network inputs, the network directly outputs the corresponding subsurface velocity structure, establishing an end-to-end nonlinear mapping relationship between input and output; incorporating the physical criteria of seismic wave transmission as a hard constraint condition into the loss function to construct a physical constraint loss function and complete model training; after the network training converges and parameters are optimized, new measured travel time perturbation data and corresponding background travel time data are input into the model to deduce the subsurface medium velocity distribution structure, achieving rapid imaging of the subsurface velocity structure. This invention effectively solves the limitation of traditional tomographic imaging, which can only train a single model; through a single training, it can achieve efficient and accurate imaging of multiple models, applicable to different velocity models.

A system and method for designing a seismic survey including selecting a seismic survey grid as a basis for a seismic survey design and looping through the steps of generating off-the-grid locations by imposing spatial or temporal constraints on on-the-grid locations, mapping the off-the-grid locations from a physical domain to a pre-selected domain by applying a multidimensional transform to the off-the-grid locations, mapping the pre-selected domain to a rank-revealing domain using a pre-selected operator, applying a pre-selected process to minimize a rank of the off-the-grid locations in the pre-selected domain, and updating the seismic survey design based on which of the off-the-grid locations has the minimum rank until a pre-selected threshold is met indicating an optimal seismic survey design. The system and method include acquiring seismic data using the optimal seismic survey design, and enabling performing a wellsite action based at least on the seismic data.

This invention discloses an attribute fusion method and system based on unsupervised hybrid multimodal and ternary adaptive transfer autoencoder, belonging to the fields of artificial intelligence and seismic exploration. The method includes: constructing an unsupervised hybrid multimodal adaptive weighted feature fusion autoencoder (UHM-AWFFA) network, where the encoder uses a multi-branch independent encoder to extract deep independent features of multiple seismic attributes and dynamically fuses them through a weighted feature fusion layer; the decoder performs hierarchical reconstruction of the fused features, simultaneously outputting the reconstruction results of each attribute and the fused attribute profile; training is performed using an interactive reconstruction loss function, and fine-tuning is performed using a ternary multimodal adaptive dynamic transfer learning (TE-MADT) strategy, including a gradient-driven adaptive thawing mechanism, a multimodal collaborative transfer strategy, and a cross-modal knowledge distillation mechanism. This invention achieves nonlinear intelligent fusion of seismic attributes, effectively uncovers deep coupling relationships between attributes, and improves the geological interpretation accuracy of the fused profile.

This disclosure relates to a method, apparatus, and product for full-waveform reflection inversion based on dynamic graphic warping, applicable to the field of seismic exploration technology. In this disclosure, seismic data of the target area is acquired; wavefield simulation is performed based on the seismic data to determine the background wavefield and scattered wavefield. Based on dynamic graphic warping, full-waveform reflection inversion is performed on the background wavefield and scattered wavefield to determine the inversion target model. The inversion target model is optimized to determine the target image of the target area. Determining the inversion target model through the dynamic graphic warping algorithm can improve the resolution of the inversion target model and reduce the model's ambiguity and computational load. Furthermore, iterative optimization of the inversion target model can improve imaging quality. Simultaneously, using the dynamic graphic warping algorithm can reduce the accuracy requirements of high wavenumber models, enabling more accurate imaging of complex geological features. Therefore, the accuracy of imaging is improved.

This disclosure relates to the field of seismic exploration technology, and particularly to a method and apparatus for automatically acquiring reflection travel time for layer-by-layer tomographic velocity modeling. The method includes: acquiring a seismic time-averaged velocity function constructed from raw seismic data and a well-logging time-averaged velocity function constructed from raw well-logging data; calibrating the seismic time-averaged velocity function using the initial seismic average velocity and well-logging average velocity to obtain a calibrated seismic average velocity model; performing time-depth conversion using the calibrated seismic average velocity model to obtain calibrated depth-domain interpretation horizons; performing stacking velocity inversion layer by layer on the calibrated depth-domain horizons to obtain optimized depth-domain layer velocities; obtaining observation travel time using the stacking velocity as a criterion; and performing tomographic inversion using the calibrated depth-domain interpretation horizons, optimized depth-domain layer velocities, observation travel time, and CMP observation system to construct a depth-domain layer velocity model.

The invention provides a depth domain velocity modeling execution engine design method and device and a medium, and belongs to the field of seismic exploration data processing. The method comprises the following steps: constructing a process of depth domain velocity modeling; carrying out feasibility verification on the constructed process of depth domain velocity modeling; and according to the constructed depth domain speed modeling process, iteratively executing a task for multiple times to complete depth domain speed modeling. According to the method, automatic scheduling execution of the algorithm modules in the process and iterative updating of the whole-process speed model are completed according to the depth domain speed modeling process which is self-defined and constructed by a user, deep integration and fusion of various high-end migration imaging algorithm modules are realized, construction of the depth domain speed model is conveniently and efficiently realized, and the speed modeling efficiency is improved. And revolutionary technical progress is brought to the fields of seismic exploration and the like.

This invention pertains to data processing technology for seismic exploration of sandstone-type uranium deposits, specifically an adaptive denoising method for sandstone-type uranium deposit seismic data based on sparse transform. The method includes: inputting noisy raw two-dimensional seismic data y; initializing the maximum number of iterations I, setting the outer iterative accumulator i=1, and designing a search range J for the denoising coefficient truncation percentage; for each i, calculating the curvelet transform coefficients s of y; for each j within the search range, applying hard thresholding for denoising, and performing an inverse curvelet transform on the denoised coefficients to obtain the denoised seismic data y. j ; Calculate the noise removal ε corresponding to each j j The entropy; compare the calculated noise ε removed for each j. j The entropy is calculated, and the percentage corresponding to the maximum entropy within the search range is taken as the optimal denoising effect, and the corresponding seismic data is output. If i reaches the maximum number of iterations, the loop is exited, and the denoised seismic data corresponding to the current maximum entropy value is used as the output result. This invention can protect the effective signal while suppressing random noise.

This application provides a rapid migration method and system based on customized data packages, as well as a readable storage medium. The rapid migration method based on customized data packages includes: extracting metadata from oil and gas exploration data using a general data acquisition module, employing the system's native API and file parsing algorithms; based on the metadata and the target operating system, formulating a migration strategy and monitoring the migration process through a control module, and generating a task execution list; dynamically adjusting the execution plan of the task execution list through a scheduling module, and generating a task execution priority list; and according to the task execution priority list, encapsulating and transmitting the data to the target system through a migration module, and unpacking the data according to the mapping index file and the unpacking priority list. Through the technical solution of this application, seamless data synchronization across operating systems can be achieved through customized data packaging and index mapping strategies, ensuring that the migrated data is immediately available and improving the execution efficiency of seismic exploration projects in multi-platform collaborative scenarios.

The application provides a data downloading device, a card reader and a data downloading system, and belongs to the technical field of seismic exploration. The device comprises a first interface module, a data processing module and a second interface module. The first interface module outputs a data downloading instruction to the data processing module in response to the access of a data downloading device. The data processing module outputs a clock signal and a command signal to the second interface module in response to the arrival of the data downloading instruction. The second interface module downloads data stored in a device where an external interface is located and transmits the data to the data processing module in the form of multi-channel data signals. The data processing module converts the multi-channel data signals into differential signals suitable for the data downloading device in response to the arrival of the multi-channel data signals and outputs the differential signals to the data downloading device through the first interface module. The data downloading device provided by the application can download seismic data stored in a node instrument.

The present application belongs to the technical field of oil seismic exploration, and discloses a near-surface modeling method and system based on microseismic spectral ratio interface imaging constraint, wherein the method comprises the following steps: collecting continuous microseismic data of a set time length in the whole work area and performing pretreatment; performing spectral ratio calculation on the pretreated microseismic data, smoothing the spectral ratio, and obtaining peak frequency from the smoothed spectral ratio; obtaining the shear wave velocity structure from the microseismic signal inversion, converting the peak frequency under each station into interface depth according to the shear wave velocity structure, and obtaining the interface depth information of the whole work area; taking the interface depth information as a constraint condition, adding the first arrival wave travel time tomography inversion, and completing the near-surface velocity modeling. The present application provides fine lithology interface constraint, makes up for the defect of insufficient micro-logging spatial sampling, improves the vertical resolution and lateral continuity of the near-surface velocity model, and solves the problem of insufficient accuracy of the near-surface model caused by lack of constraint in complex areas.

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.

A method for predicting a property of a subsurface formation, includes: drilling one or more wellbores into the subsurface formation at a well location; conducting a seismic survey at the well location to construct a primary seismic image volume, the primary seismic image volume dataset comprises at least a pressure wave velocity vp, a shear velocity vs, and a density rho, in both time and frequency domains; conducting well logging at the one or more wellbores to generate logging information at the well location; generating an auxiliary seismic image volume for seismic-guided property prediction using Kriging at the well location; generating a prediction operator based on the primary seismic image volume, the auxiliary seismic image volume and the well logging information; feeding a seismic image volume and the prediction operator into a property prediction engine; and generating the predicted property of the subsurface formation.

This disclosure relates to a method and apparatus for generating a controllable source scanning signal based on compensation, which can improve the quality of seismic exploration data. The method includes: acquiring single-shot seismic record data of an exploration area; performing spectral analysis on the single-shot seismic record data to obtain an amplitude-frequency spectrum; dividing the amplitude-frequency spectrum into at least two frequency segments based on the amplitude distribution of the amplitude-frequency spectrum; calculating the compensation for the scanning duration of each frequency segment in the at least two frequency segments based on the amplitude distribution of the theoretical scanning spectrum, obtaining a reference scanning duration for each frequency segment aligned with the amplitude of the theoretical scanning spectrum; determining the target scanning duration for each frequency segment under a preset total scanning duration based on the reference scanning duration; and generating a target scanning signal for the exploration area by concatenating the start and end frequencies of each frequency segment and the corresponding target scanning duration.

The present disclosure relates to the technical field of seismic exploration, and particularly relates to a time difference matching method and device of seismic data, equipment, a storage medium and a computer program product. The method comprises the following steps: selecting a plurality of matching reference horizon pairs in a standard data body and a first data body; subtracting the depth value of the horizon of the standard data body in each selected matching reference horizon pair from the depth value of the horizon of the first data body in the matching reference horizon pair to obtain the time difference data of the matching reference horizon pair; performing time difference matching operation using the first data body, the time difference data of the plurality of matching reference horizon pairs and the depth domain velocity corresponding to the first data body to obtain a first intermediate data body; replacing the first data body with the first intermediate data body and repeating the above steps until the time difference data of each matching reference horizon pair is less than or equal to a first preset value, and taking the first intermediate data body obtained in the last time as the target data body of the completed time difference matching.

This application provides an oil and gas exploration spatial database system and a spatial data management method, relating to the field of database management technology in petroleum seismic exploration. The system includes: a data interface that receives various data requests from the oil and gas exploration business system; a unified object wrapper that encapsulates different types of spatial objects, identifies and parses the attribute information of each spatial object, converts it into a database-recognizable format, and restores it to the original spatial object type during data output; a data driver that interacts with the underlying database and executes data operation instructions; storage and retrieval of spatial data based on attribute information; a model object table structure that stores oil and gas exploration spatial data; an extended database that uses PostgreSQL as the underlying database and integrates PostGIS extensions; and a feature synchronization process that synchronizes spatial data features from the original table to a feature table, monitors changes in spatial data in the original table in real time, and updates corresponding information in the feature table in a timely manner, significantly improving the efficiency and quality of seismic exploration data synchronization and management.

This invention discloses a method and apparatus for noise-resistant frequency compensation of seismic data, relating to the fields of compressed sensing and seismic exploration design. The method includes: performing spectral analysis on the original seismic data to determine the expected frequency broadening range; performing autocorrelation calculation on the original seismic data to obtain wavelet-like waveform data; using the wavelet-like waveform data as simulated wavelet data, inputting iterative solutions to the compressed sensing noise-resistant frequency extension basis function to obtain the full bandwidth reflection coefficient; concatenating the full bandwidth spectrum with the original seismic data spectrum to obtain the extended spectrum; and performing an inverse Fourier transform on the extended spectrum to obtain the noise-resistant frequency extension data. This invention is based on the compressed sensing framework, utilizes the Shearlet denoising basis function to constrain the frequency extension basis function, and constructs a noise-resistant frequency extension basis function based on compressed sensing, achieving good high- and low-frequency compensation effects for seismic data under low signal-to-noise ratio conditions.

The application provides a method and device for selecting seismic data and a computer device, and belongs to the technical field of seismic exploration. The method comprises the following steps: obtaining seismic data of a work area to be studied; obtaining a first attribute parameter of each shot point, a second attribute parameter of each receiver point, and a third attribute parameter of each bin point; selecting at least one target shot point, at least one target receiver point, and at least one target bin point from a plurality of shot points, a plurality of receiver points, and a plurality of bin points based on the first attribute parameter of each shot point, the second attribute parameter of each receiver point, and the third attribute parameter of each bin point; and determining target seismic data based on first seismic data of each target shot point, second seismic data of each target receiver point, and third seismic data of each target bin point, wherein the target seismic data is used for underground structure imaging. The method improves the accuracy of the target seismic data used for underground structure imaging.

The application discloses a kind of seismic data processing method, device, equipment, medium and computer program product, it is related to seismic exploration processing field.Processing method, device, equipment, medium and computer program product are disclosed in the present application, it is related to seismic exploration processing field.Get the seismic profile to be evaluated, and determine at least one seismic trace of the seismic profile to be evaluated;The seismic profile to be evaluated includes first seismic profile and second seismic profile;Determine the target event of the seismic trace;Determine the target length of the seismic trace based on the target event and preset time window length value;The frequency value of the seismic trace is determined by frequency conversion to the target length of the seismic trace;Based on the frequency value of at least one seismic trace, the first seismic profile and the second seismic profile, the seismic profile to be evaluated is evaluated.Adopting the technical scheme, the frequency spectrum profile of seismic profile is introduced, and the purpose of full-band quality control for seismic data consistency processing is realized.

The present application relates to oil and gas seismic exploration data acquisition technical field, specifically to the observation scheme optimization method based on uniformity index. The method comprises the following steps: S10, collecting and arranging the observation parameters of the optimization scheme; S20, optimizing the design of the observation scheme parameters to obtain N optimization observation schemes; S30, calculating the noise removal response value corresponding to the N optimization observation schemes; S40, calculating the noise suppression response value corresponding to the N optimization observation schemes; S50, based on the noise removal response value and the noise suppression response value corresponding to the N optimization observation schemes, calculating the denoising response value corresponding to the N optimization observation schemes; S60, calculating the pre-stack time migration response value corresponding to the N optimization observation schemes; S70, based on the signal-to-noise ratio spectrum and the effective high frequency of the N optimization observation schemes, combining the index requirements of the target layer signal-to-noise ratio and the highest frequency, selecting the final scheme from the N optimization observation schemes.

The present application relates to the field of oil and gas exploration, and provides a few well area multi-depositional facies belt sand shale reservoir prediction method and system, the method comprises the following steps: preprocessing seismic exploration data of the study area, extracting seismic attribute volume combined with depositional facies belt lithology difference, screening the seismic attribute volume through lithology sensitivity analysis to obtain core attribute volume; taking the core attribute volume as a constraint condition, performing primary inversion on the pretreated seismic exploration data through inversion algorithm to obtain primary inversion data volume; constructing pseudo well according to the primary inversion data volume and depositional facies belt characteristics, modeling the pseudo well and well logging data of real drilled well jointly to obtain low frequency model; taking the low frequency model as a constraint condition to perform iterative inversion, predicting sand shale reservoir from the iterative inversion result to obtain full area sand shale reservoir prediction result. The present application improves the adaptability of multi-depositional facies belt.

This disclosure relates to the field of seismic exploration technology, and particularly to a method, equipment, and medium for depth domain velocity model analysis based on well-seismic co-processing. The method includes: extracting stratigraphic and fault information from seismic data to construct a three-dimensional depth domain structural model of the target three-dimensional work area; smoothing well logging velocities and extrapolating the smoothed well logging velocities across the entire work area based on the three-dimensional depth domain structural model; inverting an initial velocity model based on the three-dimensional depth domain structural model and the overall work area well logging velocity model; iterating the initial depth domain velocity model based on the structural properties of the three-dimensional depth domain structural model to obtain an isotropic depth domain velocity model; analyzing the anisotropic parameters and anisotropic velocities of the target three-dimensional work area, and iterating the isotropic velocity model based on the anisotropic parameters and anisotropic velocities to obtain the depth domain velocity model. This invention can improve the accuracy of depth domain velocity model analysis.

The invention relates to the technical field of seismic exploration, and particularly discloses a method and device for eliminating abnormal arrangement in full-node received seismic data, and the method comprises the steps: collecting three-dimensional seismic data, guaranteeing that the file number of each shot of data of the three-dimensional seismic data is unique, and guaranteeing that each arrangement in each shot has an arrangement number; operation is carried out according to the file number and the arrangement number of each shot data, and the total channel number of each arrangement in each shot data is counted; and sorting and rejecting the total number of tracks. According to the method, operation is carried out according to the file number and the arrangement number of each shot data, the total number of channels of each arrangement in each shot is counted, the arrangement smaller than the fixed number of channels is regarded as an abnormal arrangement, sorting and rejection are carried out, and effective and advantageous data in all-node data are selected. Abnormal arrangements which possibly cause troubles to follow-up processing and have a very small number of channels are eliminated, so that the correctness of the data is ensured.

The application provides a geological structure space description method and device based on deep learning, and relates to the technical field of seismic exploration. The method first calculates the 3D dip angle domain offset gather horizontal slice at each imaging point based on the seismic observation data of the region to be imaged, then uses a first deep learning convolutional neural network to automatically identify the horizontal slice at the imaging point to distinguish between structural mutation points and continuous reflection points, and realizes fine discrimination of geological structure features. On this basis, a special second deep learning convolutional neural network and a third deep learning convolutional neural network are respectively used for different types of imaging points to accurately identify the local dip angle of the continuous reflection interface and the spatial distribution azimuth angle of the fracture in the image point dimension, thereby enhancing the spatial depiction precision of key geological bodies such as faults and fractures, and thus effectively improving the resolution of the geological structure space description.

This application discloses a remote excitation control method, apparatus, and equipment for seismic exploration based on a cluster approach, belonging to the field of oil and gas seismic exploration. The method includes: in response to remote control of multiple seismic exploration projects, sending a working instruction to the excitation controller of each of the multiple seismic exploration projects; for any seismic exploration project, in response to receiving excitation preparation information from the excitation controller of that project, determining the shot point to be excited and the excitation time of the shot point corresponding to the excitation preparation information based on the excitation rules of the seismic exploration project; and sending an excitation instruction to the excitation controller. The above technical solution realizes remote centralized excitation control of multiple seismic exploration projects in different regions, greatly reducing the number of operators required and their labor intensity, and effectively improving the overall construction efficiency of multiple seismic exploration projects.

The application provides a seismic data processing method and device based on multiple types of prior information, and belongs to the technical field of oil and gas seismic exploration. The method comprises the following steps: based on original seismic data to be processed and corresponding well logging data, a seismic sparse representation target function coupled with multiple types of prior information is constructed, wherein the multiple types of prior information comprise low-frequency impedance prior information of the well logging data, seismic amplitude envelope prior information of the original seismic data, and support position prior information; a three-dimensional multi-channel Bayesian orthogonal matching pursuit algorithm is used to solve a maximum a posteriori probability density solution of the seismic sparse representation target function, wherein the maximum a posteriori probability density solution comprises a target reflection coefficient sequence of the original seismic data; a target wideband Ricker wavelet is obtained, and seismic data reconstruction is performed based on the target wideband Ricker wavelet and the target reflection coefficient sequence, so that target seismic data is obtained. According to the application, multiple types of prior information can be coupled to reconstruct seismic data, and the resolution of the seismic data is improved.