Denoising method and device based on near-surface type partitioning

Abstract

The present invention provides a method and device for denoising based on near-surface type partitions, the method comprising: obtaining the near-surface type of the work area for seismic data acquisition and determining the geodetic coordinates corresponding to each near-surface type; determining the near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition work area; determining the denoising method and denoising parameters for each near-surface type, and performing partition denoising based on the denoising method and the denoising parameters. The present invention can protect effective wave information from loss while removing interference, thereby improving denoising efficiency and denoising effect.

Description

Technical Field

[0001] The present invention relates to the field of seismic exploration technology, and in particular to a denoising method and device based on near-surface type zoning. Background Art

[0002] There are various types of interference waves in the original single-shot data obtained from seismic acquisition, such as surface waves, shallow refraction waves, sound waves, wild values, random noise, etc., among which the most important are surface wave interference and shallow refraction wave interference. The existence of these interferences seriously reduces the signal-to-noise ratio of seismic data, and has a great impact on seismic data processing such as deconvolution, velocity analysis, stacking and migration. They must be removed before deconvolution and other seismic data processing.

[0003] The denoising technology in the process of conventional seismic data processing is mainly based on the characteristics of various interference waves in terms of amplitude, frequency, apparent velocity, etc., and the denoising method and denoising parameters are optimized through experimental analysis, and all the original single shots in the whole work area are uniformly removed from the interference waves. In fact, the appearance of surface waves and shallow refraction waves, which have the most serious impact among various interference waves, has a great correlation with the near-surface situation. Using the same denoising method and denoising parameters to denoise all the original single shots will firstly result in a large workload and low work efficiency, and secondly, while removing the interference, part of the effective wave information will be lost (because the surface waves and shallow refraction waves in different near-surface types will have obvious differences in frequency and apparent velocity, and using a unified denoising parameter will inevitably lose one while taking care of the other, and it is difficult to take both into account), and it is difficult to achieve the denoising effect of maintaining amplitude and fidelity. Summary of the invention

[0004] In view of the problems in the prior art, the present invention provides a denoising method and device based on near-surface type zoning, which can protect effective wave information from loss while removing interference, thereby improving denoising efficiency and denoising effect.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] In a first aspect, the present invention provides a denoising method based on near-surface type partitioning, comprising:

[0007] Obtaining the near-surface type of the work area for seismic data acquisition and determining the geodetic coordinates corresponding to each near-surface type;

[0008] Determine the near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition area;

[0009] Determine a denoising method and denoising parameters for each near-surface type, and perform partition denoising based on the denoising method and the denoising parameters.

[0010] Furthermore, it also includes:

[0011] Obtain the first arrival time of each shot point in the work area where seismic data is collected;

[0012] Performing tomographic inversion processing according to the first arrival time to obtain a surface velocity model of the work area;

[0013] The work area is divided into near-surface types based on geodetic coordinates according to the surface velocity model.

[0014] Furthermore, after performing partition denoising based on the denoising method and the denoising parameters, the method further includes:

[0015] The shot point data corresponding to each shot point after denoising are integrated according to the original shot sequence.

[0016] The step of determining a denoising method and denoising parameters for each near-surface type and performing partition denoising based on the denoising method and the denoising parameters includes:

[0017] Select the denoising method corresponding to each near-surface type;

[0018] The specific parameters corresponding to each near-surface type determine the denoising parameters corresponding to the selected denoising method; wherein the specific parameters are: the apparent velocity of surface wave interference and the apparent velocity of shallow refraction wave interference;

[0019] The shot point data in this area are denoised based on the denoising methods and denoising parameters corresponding to each near-surface type.

[0020] The near-surface types of the work area include at least one of farmland, swamp and rock.

[0021] In a second aspect, the present invention provides a denoising device based on near-surface type partitioning, comprising:

[0022] A near-surface type unit is used to obtain the near-surface type of the work area for seismic data acquisition and determine the geodetic coordinates corresponding to each near-surface type;

[0023] A division unit, used for determining the near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition area;

[0024] The denoising unit is used to determine a denoising method and denoising parameters for each near-surface type, and perform partition denoising based on the denoising method and the denoising parameters.

[0025] Furthermore, it also includes:

[0026] An acquisition unit, used to obtain the first arrival time of each shot point in the work area for seismic data acquisition;

[0027] An inversion unit, used for performing tomographic inversion processing according to the first arrival time to obtain a surface velocity model of the work area;

[0028] A partitioning unit is used to partition the work area into near-surface types based on geodetic coordinates according to the surface velocity model.

[0029] Furthermore, it also includes:

[0030] The integration unit is used to integrate the shot point data corresponding to each shot point after denoising according to the original shot sequence.

[0031] Wherein, the denoising unit comprises:

[0032] A selection subunit is used to select a denoising method corresponding to each near-surface type;

[0033] A parameter subunit is used to determine the denoising parameters corresponding to the selected denoising method according to the specific parameters corresponding to each near-surface type; wherein the specific parameters are: the apparent velocity of surface wave interference and the apparent velocity of shallow refraction wave interference;

[0034] The denoising subunit is used to perform denoising processing on the shot point data in this area based on the denoising methods and denoising parameters corresponding to each near-surface type.

[0035] The near-surface types of the work area include at least one of farmland, swamp and rock.

[0036] In a third aspect, the present invention provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the near-surface type partitioning-based denoising method when executing the program.

[0037] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the near-surface type zoning-based denoising method.

[0038] It can be seen from the above technical scheme that the present invention provides a method and device for zoning denoising based on near-surface type, by obtaining the near-surface type of the work area for seismic data acquisition and determining the geodetic coordinates corresponding to each near-surface type; determining the near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition work area; determining the denoising method and denoising parameters for each near-surface type, and performing zoning denoising based on the denoising method and the denoising parameters, which can protect the effective wave information from loss while removing interference, thereby improving the denoising efficiency and denoising effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1 Schematic diagram of the first process of the near-surface type zoning denoising method in an embodiment of the present invention.

[0041] Figure 2 Schematic diagram of a second process of the near-surface type zoning denoising method in an embodiment of the present invention.

[0042] Figure 3 It is a schematic diagram of the third process of the near-surface type zoning denoising method in an embodiment of the present invention.

[0043] Figure 4 Schematic diagram for comparing the distribution of interference waves of the original single shot in the partitions according to the embodiment of the present invention.

[0044] Figure 5 It is a schematic diagram of the structure of a near-surface type partition denoising device in an embodiment of the present invention.

[0045] Figure 6 Schematic diagram of the structure of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] The present invention provides an embodiment of a near-surface type zoning denoising method, see Figure 1 The denoising method based on near-surface type partitioning specifically includes the following contents:

[0048] S101: Obtaining the near-surface type of the work area for seismic data acquisition and determining the geodetic coordinates corresponding to each near-surface type;

[0049] In this step, according to the actual situation of the near-surface of the work area obtained by field measurement, according to the characteristics of the near-surface (comprehensively considering the elevation, surface soil quality, thickness of the low-speed reduction zone, and speed factors of the low-speed reduction zone), the near-surface type division based on geodetic coordinates is carried out;

[0050] In this embodiment, the near-surface type of the work area includes at least one of farmland, swamp and rock.

[0051] It should be noted that the apparent velocity of the center of surface wave interference in farmland area is about 500m / s, and the apparent velocity of the center of shallow refraction wave interference is about 1500m / s; the apparent velocity of the center of surface wave interference in swamp wetland area is about 800m / s, and the apparent velocity of the center of shallow refraction wave interference is about 2000m / s; the apparent velocity of the center of surface wave interference in rocky mountain area is about 1300m / s, and the apparent velocity of the center of shallow refraction wave interference is about 2500m / s.

[0052] S102: determining the near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition area;

[0053] In this step, the purpose is to partition and output all single shots according to the geodetic coordinates of the shot points.

[0054] S103: Determine a denoising method and denoising parameters for each near-surface type, and perform partition denoising based on the denoising method and the denoising parameters.

[0055] In this step, the denoising methods corresponding to each near-surface type are selected; the denoising methods in this embodiment include: FK filtering and linear filtering, wherein FK filtering is used to remove surface waves, and linear filtering is used to remove shallow refraction waves.

[0056] The specific parameters corresponding to each near-surface type determine the denoising parameters corresponding to the selected denoising method; wherein the specific parameters are: the apparent velocity of surface wave interference and the apparent velocity of shallow refraction wave interference.

[0057] It should be noted that the main interference waves (surface waves and shallow refraction waves) in the original single-shot records collected in the field are highly correlated with the actual near-surface conditions. The apparent velocities and frequencies of surface waves and shallow refraction waves generated by different near-surface conditions are significantly different. Therefore, the near-surface types can be divided into different areas, and different denoising parameters can be used for the original single-shot records in different areas to achieve better denoising effects.

[0058] The shot point data in this area are denoised based on the denoising methods and denoising parameters corresponding to each near-surface type.

[0059] From the above description, it can be seen that the denoising method based on near-surface type zoning provided in an embodiment of the present invention obtains the near-surface type of the work area for seismic data acquisition and determines the geodetic coordinates corresponding to each near-surface type; determines the near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition work area; determines the denoising method and denoising parameters for each near-surface type, and performs denoising based on the denoising method and the denoising parameters, which can protect the effective wave information from loss while removing interference, thereby improving the denoising efficiency and denoising effect.

[0060] In one embodiment of the present invention, see Figure 2 After step S103 of the near-surface type partition denoising method, the following contents are specifically included:

[0061] S104: Integrate the shot point data corresponding to each shot point after denoising according to the original shot sequence.

[0062] In this embodiment, after the single-shot denoising work of all partitions is completed, all the denoised single shots are merged into a unified work area in the order of the original single-shot file numbers, thus realizing the near-surface type partition denoising work based on geodetic coordinates.

[0063] In one embodiment of the present invention, see Figure 3 , before step S102 of the near-surface type zoning denoising method, specifically includes the following contents:

[0064] S105: Obtaining the first arrival time of each shot point in the work area for seismic data acquisition;

[0065] S106: performing tomographic inversion processing according to the first arrival time to obtain a surface velocity model of the work area;

[0066] S107: Zoning the work area into near-surface types based on geodetic coordinates according to the surface velocity model.

[0067] In this embodiment, if there is no actual near-surface situation of the work area obtained by field measurement, the first arrival time of each original single shot in the work area collected by seismic data can be picked up first, and the first arrival time analysis inversion can be carried out to obtain the surface velocity model, and the surface velocity plane map can be loaded using conventional map drawing software (Globalmapper), and the near-surface type zoning of the work area based on geodetic coordinates can be carried out according to the velocity differences in different areas.

[0068] This method divides the original single shot collected in the field into near-surface types based on geodetic coordinates, and uses different denoising methods and parameters for single shots in different partitions according to their noise types and characteristics. Figure 4 , Figure 4Comparison of the distribution of interference waves of the original single shot in different partitions; the left picture is a typical original single shot in the farmland area, the middle picture is a typical original single shot in the swamp area, and the right picture is a typical original single shot in the rock area

[0069] The apparent velocity and frequency of the shallow refraction interference wave V1 in the three figures are different, and the apparent velocity and frequency of the surface wave interference V2 are also significantly different; if a unified denoising process and parameters are used, either the denoising is excessive and a certain amount of effective signal is lost; or the denoising is too light, and a certain amount of residual interference wave still exists on the single shot after denoising; therefore, only by using different denoising parameters in different partitions can the effect of effectively removing interference waves without losing effective signals be achieved.

[0070] In summary, the technical solution of the present invention improves the denoising efficiency and the denoising effect, while achieving the purpose of denoising with preserved fidelity and amplitude; it solves the problems of large denoising workload, low denoising efficiency and poor denoising with preserved fidelity and amplitude caused by the use of a unified denoising process and parameters for all original single shots in the entire area in the past.

[0071] The embodiment of the present invention provides a specific implementation of a near-surface type partition denoising device that can implement all the contents of the near-surface type partition denoising method, see Figure 5 The denoising device based on near-surface type partitioning specifically includes the following contents:

[0072] A near-surface type unit 10 is used to obtain the near-surface type of the work area for seismic data acquisition and determine the geodetic coordinates corresponding to each near-surface type;

[0073] A division unit 20, for determining the near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition area;

[0074] The denoising unit 30 is used to determine a denoising method and denoising parameters for each near-surface type, and perform partition denoising based on the denoising method and the denoising parameters.

[0075] Based on the above embodiment, it also includes:

[0076] An acquisition unit, used to obtain the first arrival time of each shot point in the work area for seismic data acquisition;

[0077] An inversion unit, used for performing tomographic inversion processing according to the first arrival time to obtain a surface velocity model of the work area;

[0078] A partitioning unit is used to partition the work area into near-surface types based on geodetic coordinates according to the surface velocity model.

[0079] Based on the above embodiment, it also includes:

[0080] The integration unit is used to integrate the shot point data corresponding to each shot point after denoising according to the original shot sequence.

[0081] Wherein, the denoising unit comprises:

[0082] A selection subunit is used to select a denoising method corresponding to each near-surface type;

[0083] A parameter subunit is used to determine the denoising parameters corresponding to the selected denoising method according to the specific parameters corresponding to each near-surface type; wherein the specific parameters are: the apparent velocity of surface wave interference and the apparent velocity of shallow refraction wave interference;

[0084] The denoising subunit is used to perform denoising processing on the shot point data in this area based on the denoising methods and denoising parameters corresponding to each near-surface type.

[0085] In this embodiment, the near-surface type of the work area includes at least one of farmland, swamp and rock.

[0086] The embodiment of the near-surface type partitioning denoising device provided by the present invention can be specifically used to execute the processing flow of the embodiment of the near-surface type partitioning denoising method in the above-mentioned embodiment. Its functions will not be repeated here, and reference can be made to the detailed description of the above-mentioned method embodiment.

[0087] From the above description, it can be seen that the near-surface type partitioned denoising device provided in an embodiment of the present invention obtains the near-surface type of the work area for seismic data acquisition and determines the geodetic coordinates corresponding to each near-surface type; determines the near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition work area; determines the denoising method and denoising parameters for each near-surface type, and performs partitioned denoising based on the denoising method and the denoising parameters, which can protect the effective wave information from loss while removing interference, thereby improving the denoising efficiency and denoising effect.

[0088] The present application provides an embodiment of an electronic device for implementing all or part of the content of the near-surface type partition denoising method. The electronic device specifically includes the following content:

[0089] Processor, memory, communication interface and bus; wherein the processor, memory and communication interface communicate with each other through the bus; the communication interface is used to realize information transmission between related devices; the electronic device can be a desktop computer, a tablet computer and a mobile terminal, etc., but the present embodiment is not limited thereto. In the present embodiment, the electronic device can be implemented with reference to the embodiment for realizing the method for denoising based on near-surface type partitioning and the embodiment for realizing the device for denoising based on near-surface type partitioning, and the contents thereof are incorporated herein, and the repeated parts are not repeated.

[0090] Figure 6 FIG. 9 is a schematic block diagram of the system structure of the electronic device 9600 according to an embodiment of the present application. Figure 6 As shown, the electronic device 9600 may include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. It is worth noting that Figure 6 is exemplary; other types of structures may also be used to supplement or replace this structure to implement telecommunication functions or other functions.

[0091] In one embodiment, the near-surface type partitioning denoising function may be integrated into the central processor 9100. The central processor 9100 may be configured to perform the following control:

[0092] Acquire the near-surface type of the work area for seismic data acquisition and determine the geodetic coordinates corresponding to each near-surface type; determine the near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition work area; determine the denoising method and denoising parameters for each near-surface type, and perform partition denoising based on the denoising method and the denoising parameters.

[0093] From the above description, it can be seen that the electronic device provided in the embodiment of the present application obtains the near-surface type of the work area for seismic data acquisition and determines the geodetic coordinates corresponding to each near-surface type; determines the near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition work area; determines the denoising method and denoising parameters for each near-surface type, and performs partition denoising based on the denoising method and the denoising parameters, which can protect the effective wave information from loss while removing interference, thereby improving the denoising efficiency and denoising effect.

[0094] In another embodiment, the near-surface type partitioning denoising device can be configured separately from the central processing unit 9100. For example, the near-surface type partitioning denoising device can be configured as a chip connected to the central processing unit 9100, and the near-surface type partitioning denoising function can be implemented through the control of the central processing unit.

[0095] like Figure 6 As shown, the electronic device 9600 may also include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is worth noting that the electronic device 9600 does not necessarily have to include Figure 6 In addition, the electronic device 9600 may also include Figure 6 For components not shown, reference may be made to the prior art.

[0096] like Figure 6 As shown, the central processing unit 9100 is sometimes also referred to as a controller or an operation control, and may include a microprocessor or other processor device and / or logic device. The central processing unit 9100 receives input and controls the operation of various components of the electronic device 9600.

[0097] The memory 9140 may be, for example, one or more of a cache, a flash memory, a hard drive, a removable medium, a volatile memory, a non-volatile memory or other suitable devices. The above-mentioned information related to the failure may be stored, and a program for executing the relevant information may also be stored. The CPU 9100 may execute the program stored in the memory 9140 to implement information storage or processing, etc.

[0098] The input unit 9120 provides input to the central processing unit 9100. The input unit 9120 is, for example, a key or a touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used to display display objects such as images and texts. The display may be, for example, an LCD display, but is not limited thereto.

[0099] The memory 9140 may be a solid-state memory, such as a read-only memory (ROM), a random access memory (RAM), a SIM card, etc. It may also be a memory that saves information even when the power is off, can be selectively erased, and is provided with more data, examples of which are sometimes referred to as EPROMs, etc. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application / function storage unit 9142, which is used to store application programs and function programs or processes for executing the operation of the electronic device 9600 through the central processor 9100.

[0100] The memory 9140 may also include a data storage unit 9143 for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit 9144 of the memory 9140 may include various drivers for communication functions of the electronic device and / or for executing other functions of the electronic device (such as messaging applications, address book applications, etc.).

[0101] The communication module 9110 is a transmitter / receiver 9110 that sends and receives signals via an antenna 9111. The communication module (transmitter / receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as the case of a conventional mobile communication terminal.

[0102] Based on different communication technologies, multiple communication modules 9110 may be provided in the same electronic device, such as a cellular network module, a Bluetooth module and / or a wireless LAN module, etc. The communication module (transmitter / receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide an audio output via the speaker 9131 and receive an audio input from the microphone 9132, thereby realizing a common telecommunication function. The audio processor 9130 may include any suitable buffer, decoder, amplifier, etc. In addition, the audio processor 9130 is also coupled to the central processor 9100, so that recording can be performed on the local machine through the microphone 9132, and the sound stored on the local machine can be played through the speaker 9131.

[0103] An embodiment of the present invention also provides a computer-readable storage medium capable of implementing all the steps of the denoising method based on near-surface type zoning in the above embodiment. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, all the steps of the denoising method based on near-surface type zoning in the above embodiment are implemented. For example, when the processor executes the computer program, the following steps are implemented:

[0104] Acquire the near-surface type of the work area for seismic data acquisition and determine the geodetic coordinates corresponding to each near-surface type; determine the near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition work area; determine the denoising method and denoising parameters for each near-surface type, and perform partition denoising based on the denoising method and the denoising parameters.

[0105] From the above description, it can be seen that the computer-readable storage medium provided in the embodiment of the present invention obtains the near-surface type of the work area for seismic data acquisition and determines the geodetic coordinates corresponding to each near-surface type; determines the near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition work area; determines the denoising method and denoising parameters for each near-surface type, and performs partition denoising based on the denoising method and the denoising parameters, which can protect the effective wave information from loss while removing interference, thereby improving the denoising efficiency and denoising effect.

[0106] Although the present invention provides method operation steps as described in the embodiments or flowcharts, more or fewer operation steps may be included based on conventional or non-creative labor. The order of steps listed in the embodiments is only one way of executing the order of many steps and does not represent the only execution order. When the actual device or client product is executed, it can be executed in sequence or in parallel according to the method shown in the embodiments or the drawings (for example, in a parallel processor or multi-threaded processing environment).

[0107] It should be understood by those skilled in the art that the embodiments of this specification may be provided as methods, devices (systems) or computer program products. Therefore, the embodiments of this specification may take the form of complete hardware embodiments, complete software embodiments or embodiments combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0108] The present invention is described with reference to flowcharts and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as a combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0109] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1A function specified in one or more boxes.

[0110] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0111] Each embodiment in this specification is described in a progressive manner, and the same and similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. The terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such a process, method, article or device. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention is not limited to any single aspect, nor to any single embodiment, nor to any combination and / or permutation of these aspects and / or embodiments. Moreover, each aspect and / or embodiment of the present invention can be used alone or in combination with one or more other aspects and / or embodiments thereof.

[0112] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A denoising method based on near-surface type partitioning, characterized in that: include: Obtaining the near-surface type of the work area for seismic data acquisition and determining the geodetic coordinates corresponding to each near-surface type; Specifically, according to the actual situation of the near-surface of the work area obtained by field measurement, the near-surface type zoning of the geodetic coordinates is performed based on the near-surface characteristics; wherein the near-surface characteristics include: elevation, surface soil quality, low speed reduction belt thickness, low speed reduction belt speed, and the near-surface type of the work area includes: at least one of farmland, swamp, and rock; Determine the near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition area; Determine a denoising method and denoising parameters for each near-surface type, and perform partition denoising based on the denoising method and the denoising parameters; wherein the denoising method includes: FK filtering and linear filtering, the FK filtering is used to remove the surface waves of the farmland, the surface waves of the swamp, and the surface waves of the rock, and the linear filtering is used to remove the shallow refraction waves of the farmland, the shallow refraction waves of the swamp, and the shallow refraction waves of the rock; the denoising parameters include: the apparent velocity of the center of the surface wave interference, the apparent velocity of the center of the shallow refraction wave interference; wherein: The apparent velocity of the center of the surface wave interference of the farmland is 500m / s, and the apparent velocity of the center of the shallow refraction wave interference of the farmland is 1500m / s; The apparent velocity of the center of the surface wave interference of the swamp is 800m / s, and the apparent velocity of the center of the shallow refraction wave interference of the swamp is 2000m / s; The apparent velocity at the center of the surface wave interference of the rock is 1300 m / s, and the apparent velocity at the center of the shallow refraction wave interference of the rock is 2500 m / s.

2. The denoising method based on near-surface type partitioning according to claim 1 is characterized in that: Also includes: Obtain the first arrival time of each shot point in the work area where seismic data is collected; Performing tomographic inversion processing according to the first arrival time to obtain a surface velocity model of the work area; The work area is divided into near-surface types based on geodetic coordinates according to the surface velocity model.

3. The denoising method based on near-surface type partitioning according to claim 1 is characterized in that: After performing partition denoising based on the denoising method and the denoising parameters, the method further includes: The shot point data corresponding to each shot point after denoising are integrated according to the original shot sequence.

4. The denoising method based on near-surface type partitioning according to claim 1 is characterized in that: The step of determining a denoising method and denoising parameters for each near-surface type, and performing partition denoising based on the denoising method and the denoising parameters, includes: Select the denoising method corresponding to each near-surface type; The specific parameters corresponding to each near-surface type determine the denoising parameters corresponding to the selected denoising method; wherein the specific parameters are: the apparent velocity of surface wave interference and the apparent velocity of shallow refraction wave interference; The shot point data in this area are denoised based on the denoising methods and denoising parameters corresponding to each near-surface type.

5. The denoising method based on near-surface type partitioning according to claim 1 is characterized in that: The near-surface types of the work area include at least one of farmland, swamp and rock.

6. A denoising device based on near-surface type partitioning, characterized in that: include: A near-surface type unit is used to obtain the near-surface type of the work area for seismic data acquisition and determine the geodetic coordinates corresponding to each near-surface type; The near-surface type unit is specifically used to: perform near-surface type zoning of geodetic coordinates based on near-surface characteristics according to the actual situation of the near-surface of the work area obtained by field measurement; wherein the near-surface characteristics include: elevation, surface soil quality, low speed reduction belt thickness, low speed reduction belt speed, and the near-surface type of the work area includes: at least one of farmland, swamp, and rock; A division unit, used for determining the near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition area; A denoising unit, used to determine a denoising method and denoising parameters for each near-surface type, and perform partition denoising based on the denoising method and the denoising parameters; wherein the denoising method includes: FK filtering and linear filtering, the FK filtering is used to remove the surface waves of the farmland, the surface waves of the swamp, and the surface waves of the rock, and the linear filtering is used to remove the shallow refraction waves of the farmland, the shallow refraction waves of the swamp, and the shallow refraction waves of the rock; the denoising parameters include: the apparent velocity of the center of the surface wave interference, and the apparent velocity of the center of the shallow refraction wave interference; Wherein: the apparent velocity of the center of the surface wave interference of the farmland is 500m / s, and the apparent velocity of the center of the shallow refraction wave interference of the farmland is 1500m / s; The apparent velocity of the center of the surface wave interference of the swamp is 800m / s, and the apparent velocity of the center of the shallow refraction wave interference of the swamp is 2000m / s; The apparent velocity at the center of the surface wave interference of the rock is 1300 m / s, and the apparent velocity at the center of the shallow refraction wave interference of the rock is 2500 m / s.

7. The near-surface type partition denoising device according to claim 6 is characterized in that: Also includes: An acquisition unit, used to obtain the first arrival time of each shot point in the work area for seismic data acquisition; An inversion unit, used for performing tomographic inversion processing according to the first arrival time to obtain a surface velocity model of the work area; A partitioning unit is used to partition the work area into near-surface types based on geodetic coordinates according to the surface velocity model.

8. The near-surface type partition denoising device according to claim 6 is characterized in that: Also includes: The integration unit is used to integrate the shot point data corresponding to each shot point after denoising according to the original shot sequence.

9. The near-surface type partition denoising device according to claim 6, characterized in that: The denoising unit comprises: A selection subunit is used to select a denoising method corresponding to each near-surface type; A parameter subunit is used to determine the denoising parameters corresponding to the selected denoising method according to the specific parameters corresponding to each near-surface type; wherein the specific parameters are: the apparent velocity of surface wave interference and the apparent velocity of shallow refraction wave interference; The denoising subunit is used to perform denoising processing on the shot point data in this area based on the denoising methods and denoising parameters corresponding to each near-surface type.

10. The near-surface type partition denoising device according to claim 6, characterized in that: The near-surface types of the work area include at least one of farmland, swamp and rock.

11. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the near-surface type partitioning denoising method according to any one of claims 1 to 5 are implemented.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the near-surface type zoning denoising method according to any one of claims 1 to 5 are implemented.

Images