CN114578418A - Partition denoising method and device based on near-surface type - Google Patents

Partition denoising method and device based on near-surface type Download PDF

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CN114578418A
CN114578418A CN202011384755.8A CN202011384755A CN114578418A CN 114578418 A CN114578418 A CN 114578418A CN 202011384755 A CN202011384755 A CN 202011384755A CN 114578418 A CN114578418 A CN 114578418A
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denoising
surface type
partition
work area
parameter
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晏丰
杨建涛
王伟
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China National Petroleum Corp
BGP Inc
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China National Petroleum Corp
BGP Inc
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. for interpretation or for event detection
    • G01V1/30Analysis
    • G01V1/306Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. for interpretation or for event detection
    • G01V1/36Effecting static or dynamic corrections on records, e.g. correcting spread; Correlating seismic signals; Eliminating effects of unwanted energy
    • G01V1/364Seismic filtering
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/30Noise handling
    • G01V2210/32Noise reduction
    • G01V2210/324Filtering
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/30Assessment of water resources

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  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Acoustics & Sound (AREA)
  • Environmental & Geological Engineering (AREA)
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  • General Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
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Abstract

The invention provides a near-surface type partition based denoising method and a near-surface type partition based denoising device, wherein the method comprises the following steps: acquiring near-surface types of a work area acquired by seismic data and determining geodetic coordinates corresponding to the near-surface types; determining a 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 a denoising mode and a denoising parameter of each near-surface type, and performing partition denoising based on the denoising mode and the denoising parameter. The invention can remove interference and protect effective wave information from loss, thereby improving denoising efficiency and denoising effect.

Description

Partition denoising method and device based on near-surface type
Technical Field
The invention relates to the technical field of seismic exploration, in particular to a near-surface type partition denoising method and device.
Background
The method is characterized in that the original single shot data acquired by earthquake has various types of interference waves such as surface waves, shallow refracted waves, sound waves, outliers, random noise and the like, wherein the most important interference waves are surface wave interference and shallow refracted wave interference, the signal-to-noise ratio of the earthquake data is seriously reduced due to the interference, the influence on the earthquake data processing work such as deconvolution, velocity analysis, superposition, migration and the like is great, and the interference must be removed before the earthquake data processing such as deconvolution and the like.
The denoising technology in the conventional seismic data processing process is mainly used for uniformly removing the interference waves of all original single cannons in a whole work area by optimizing a denoising method and denoising parameters through experimental analysis according to the characteristics of various interference waves in the aspects of amplitude, frequency, visual speed and the like. In fact, the occurrence of the surface wave and the shallow refracted wave which have the most serious influence in various interference waves has great correlation with the near-surface condition, and the same denoising method and denoising parameters are adopted for denoising all the original single shots, so that firstly, the workload is large, the working efficiency is low, and secondly, part of effective wave information is lost while the interference is removed (because the surface waves and the shallow refracted waves in different near-surface type areas have obvious difference in frequency and visual speed, the uniform denoising parameters are inevitably considered and cannot be considered simultaneously), and the denoising effect with the guaranteed amplitude and the guaranteed fidelity is difficult to achieve.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a near-surface type partition denoising method and device, which can remove interference and protect effective wave information from being lost, thereby improving denoising efficiency and denoising effect.
In order to solve the technical problems, the invention provides the following technical scheme:
in a first aspect, the present invention provides a near-surface type partition-based denoising method, including:
acquiring near-surface types of a work area acquired by seismic data and determining geodetic coordinates corresponding to the near-surface types;
determining a 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 a denoising mode and a denoising parameter of each near-surface type, and performing partition denoising based on the denoising mode and the denoising parameter.
Further, the method also comprises the following steps:
acquiring first arrival time of each shot point in a work area for acquiring seismic data;
carrying out chromatography inversion processing according to the first arrival time to obtain a surface velocity model of the work area;
and partitioning the near-surface type of the work area based on geodetic coordinates according to the surface velocity model.
Further, after the partition denoising is performed based on the denoising method and the denoising parameter, the method further includes:
and integrating shot point data corresponding to each denoised shot point according to the original shot sequence.
The determining of the denoising method and the denoising parameter of each near-surface type and the partition denoising based on the denoising method and the denoising parameter comprise:
selecting a denoising mode corresponding to each near-surface type;
determining the denoising parameters corresponding to the denoising mode by using the specific parameters corresponding to the near-surface types; wherein the specific parameters are as follows: the apparent velocity of the surface wave interference and the apparent velocity of the shallow refracted wave interference;
and denoising the shot point data in the local region based on the denoising mode and the denoising parameter corresponding to each near-surface type.
Wherein the near-surface type of the work zone comprises: at least one of farmland, swamp and rock.
In a second aspect, the present invention provides a near-surface type partition-based denoising device, including:
the near-surface type unit is used for acquiring the near-surface type of a work area for acquiring seismic data and determining geodetic coordinates corresponding to each near-surface type;
the dividing unit is 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 work area;
and the denoising unit is used for determining the denoising mode and the denoising parameter of each near-surface type and carrying out partition denoising based on the denoising mode and the denoising parameter.
Further, the method also comprises the following steps:
the acquisition unit is used for acquiring the first arrival time of each shot point in a work area for acquiring seismic data;
the inversion unit is used for carrying out chromatography inversion processing according to the first arrival time to obtain a surface velocity model of the work area;
and the partitioning unit is used for partitioning the near-surface type of the work area based on the geodetic coordinates according to the surface layer velocity model.
Further, the method also comprises the following steps:
and the integration unit is used for integrating the shot point data corresponding to each shot point after denoising according to the original shot sequence.
Wherein the denoising unit includes:
the selecting subunit is used for selecting the denoising modes corresponding to the near-surface types;
the parameter subunit is used for determining the denoising parameters corresponding to the denoising mode according to the specific parameters corresponding to the near-surface types; wherein, the specific parameters are as follows: the apparent velocity of the surface wave interference and the apparent velocity of the shallow refracted wave interference;
and the denoising subunit is used for denoising the shot point data in the local region based on the denoising modes and the denoising parameters corresponding to the near-surface types.
Wherein the near-surface type of the work zone comprises: at least one of farmland, swamp and rock.
In a third aspect, the present invention provides an electronic device, which includes 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 method for denoising based on partition of near-surface type when executing the program.
In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the near-surface type partition-based denoising method.
According to the technical scheme, the near-surface type partition denoising method and device are provided, and the near-surface type of a work area acquired by seismic data is obtained, and geodetic coordinates corresponding to each near-surface type are determined; determining a near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition work area; the method comprises the steps of determining a denoising mode and a denoising parameter of each near-surface type, and performing partition denoising based on the denoising mode and the denoising parameter, so that effective wave information is protected from loss while interference is removed, and denoising efficiency and denoising effect are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a near-surface type partition-based denoising method according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a second process of the near-surface type partition-based denoising method in the embodiment of the present invention.
Fig. 3 is a third flow chart of the near-surface type partition-based denoising method in the embodiment of the present invention.
FIG. 4 is a schematic diagram illustrating a comparison of the distribution of interference waves of a partitioned original single shot in an embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a near-surface type partition-based denoising device in an embodiment of the present invention.
Fig. 6 is a schematic structural diagram of an electronic device in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides an embodiment of a partition denoising method based on a near-surface type, which specifically comprises the following contents in reference to fig. 1:
s101: acquiring near-surface types of a work area acquired by seismic data and determining geodetic coordinates corresponding to the near-surface types;
in the step, according to the actual condition of the near-surface of the work area obtained by field measurement, according to the characteristics of the near-surface (comprehensively considering the factors of elevation, surface soil texture, thickness of a low-speed-reduction zone and speed of the low-speed-reduction zone), performing near-surface type partition based on geodetic coordinates;
in this embodiment, the near surface types of the work zone include: at least one of farmland, swamp and rock.
It should be noted that the apparent velocity of the center of the surface wave interference of the farmland area is about 500m/s, and the apparent velocity of the center of the shallow refracted wave interference is about 1500 m/s; the apparent speed of the center of the surface wave interference of the marsh wetland area is about 800m/s, and the apparent speed of the center of the shallow refracted wave interference is about 2000 m/s; the apparent velocity of the center of the surface wave interference of the mountain area of the rock is about 1300m/s, and the apparent velocity of the center of the shallow refraction wave interference is about 2500 m/s.
S102: determining a near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition work area;
in this step, the purpose is to output all the single shots in a partitioned manner according to the geodetic coordinates of the shot points.
S103: determining a denoising mode and a denoising parameter of each near-surface type, and performing partition denoising based on the denoising mode and the denoising parameter.
In the step, selecting a denoising mode corresponding to each near-surface type; the denoising method in this embodiment includes: FK filtering and linear filtering. The FK filtering is used for removing surface waves, and the linear filtering is used for removing shallow refraction waves.
Determining a denoising parameter corresponding to the selected denoising mode according to a specific parameter corresponding to each near-surface type; wherein, the specific parameters are as follows: the apparent velocity of the surface wave interference and the apparent velocity of the shallow refracted wave interference.
It should be noted that, according to the fact that the main interference waves (surface waves and shallow refraction waves) in the field collected original single shot records have great correlation with the actual near-surface condition, the apparent speeds and frequencies of the surface waves and shallow refraction wave interference generated under different near-surface conditions are obviously different, so that the original single shots in different areas can be partitioned according to the near-surface type, different denoising parameters are adopted to achieve better denoising effect,
and denoising the shot point data in the local region based on the denoising mode and the denoising parameter corresponding to each near-surface type.
As can be seen from the above description, the near-surface type partition-based denoising method provided in the embodiment of the present invention obtains the near-surface type of the work area acquired by the seismic data and determines 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; the method comprises the steps of determining a denoising mode and a denoising parameter of each near-surface type, and performing partition denoising based on the denoising mode and the denoising parameter, so that effective wave information is protected from loss while interference is removed, and denoising efficiency and denoising effect are improved.
In an embodiment of the present invention, referring to fig. 2, after step S103 of the near-surface type partition-based denoising method, the following contents are specifically included:
s104: and integrating shot point data corresponding to each denoised shot point according to the original shot sequence.
In this embodiment, after the single-shot denoising operation of all the partitions is completed, all denoised single shots are merged into a unified work area according to the original single-shot file number sequence, that is, the near-surface type partition denoising operation based on geodetic coordinates is realized.
In an embodiment of the present invention, referring to fig. 3, before step S102 of the near-surface type partition-based denoising method, the following contents are specifically included:
s105: acquiring first arrival time of each shot point in a work area for acquiring seismic data;
s106: carrying out chromatography inversion processing according to the first arrival time to obtain a surface velocity model of the work area;
s107: and partitioning the near-surface type of the work area based on geodetic coordinates according to the surface velocity model.
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 acquired by the seismic data is picked up first, the first-arrival time analysis inversion is performed to obtain a surface velocity model, a surface velocity plane diagram is loaded by using conventional mapping software (globalmmapper), and near-surface type partitioning based on geodetic coordinates is performed on the work area according to the velocity difference of different areas.
According to the method, near-surface type partitioning based on geodetic coordinates is carried out on original single cannons acquired in the field, different denoising methods and parameters are adopted for the single cannons in different partitions according to the noise types and the characteristics of the single cannons, and the distribution conditions of interference waves of the original single cannons in different partitions are compared with each other as shown in an attached figure 4; the left figure is a typical original single cannon in a farmland area, the middle figure is a typical original single cannon in a marsh area, and the right figure is a typical original single cannon in a rock area
The apparent speed and frequency of the shallow refracted interference wave V1 on the three graphs are different, and the apparent speed and frequency of the surface wave interference V2 are also obviously different; if a uniform denoising process and parameters are adopted, or a certain effective signal is excessively lost in denoising; or the denoising is too light, and a certain residual interference wave still exists on the denoised single shot; therefore, the effect of effectively removing interference waves without losing effective signals can be achieved only by adopting different denoising parameters in different partitions.
In conclusion, the technical scheme of the invention improves the denoising efficiency and the denoising effect and achieves the purpose of fidelity and amplitude-preserving denoising; the method solves the problems of large denoising workload, low denoising efficiency and poor denoising fidelity and amplitude fidelity caused by the adoption of unified denoising processes and parameters for all original single shots in the whole area in the prior art.
The embodiment of the present invention provides a specific implementation manner of a near-surface type partition-based denoising device capable of implementing all contents in the near-surface type partition-based denoising method, and referring to fig. 5, the near-surface type partition-based denoising device specifically includes the following contents:
the near-surface type unit 10 is used for acquiring the near-surface type of a work area for acquiring seismic data and determining geodetic coordinates corresponding to each near-surface type;
the dividing unit 20 is configured to determine, according to geodetic coordinates of shot points in a seismic data acquisition work area, a near-surface type corresponding to each shot point;
and the denoising unit 30 is configured to determine a denoising method and a denoising parameter for each near-surface type, and perform partition denoising based on the denoising method and the denoising parameter.
On the basis of the above embodiment, the method further includes:
the acquisition unit is used for acquiring the first arrival time of each shot point in a work area for acquiring seismic data;
the inversion unit is used for carrying out chromatography inversion processing according to the first arrival time to obtain a surface velocity model of the work area;
and the partitioning unit is used for partitioning the near-surface type of the work area based on the geodetic coordinates according to the surface layer velocity model.
On the basis of the above embodiment, the method further includes:
and the integration unit is used for integrating the shot point data corresponding to each shot point after denoising according to the original shot sequence.
Wherein the denoising unit includes:
the selecting subunit is used for selecting the denoising modes corresponding to the near-surface types;
the parameter subunit is used for determining the denoising parameters corresponding to the denoising mode according to the specific parameters corresponding to the near-surface types; wherein, the specific parameters are as follows: the apparent velocity of the surface wave interference and the apparent velocity of the shallow refracted wave interference;
and the denoising subunit is used for denoising the shot point data in the local region based on the denoising modes and the denoising parameters corresponding to the near-surface types.
In this embodiment, the near surface types of the work zone include: at least one of farmland, marsh and rock.
The embodiment of the near-surface type partition-based denoising device provided by the present invention may be specifically used for executing the processing flow of the embodiment of the near-surface type partition-based denoising method in the above embodiment, and the functions thereof are not described herein again, and reference may be made to the detailed description of the embodiment of the method.
As can be seen from the above description, the near-surface type partition-based denoising device provided in the embodiment of the present invention obtains the near-surface type of the work area acquired by the seismic data and determines the geodetic coordinates corresponding to each near-surface type; determining a near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition work area; the method comprises the steps of determining a denoising mode and a denoising parameter of each near-surface type, and performing partition denoising based on the denoising mode and the denoising parameter, so that effective wave information is protected from loss while interference is removed, and denoising efficiency and denoising effect are improved.
The application provides an embodiment of an electronic device for implementing all or part of contents in the near-surface type partition denoising method, where the electronic device specifically includes the following contents:
a processor (processor), a memory (memory), a communication Interface (Communications Interface), and a bus; the processor, the memory and the communication interface complete mutual communication through the bus; the communication interface is used for realizing information transmission between related devices; the electronic device may be a desktop computer, a tablet computer, a mobile terminal, and the like, but the embodiment is not limited thereto. In this embodiment, the electronic device may be implemented with reference to the embodiment for implementing the partition denoising method based on the near-surface type and the embodiment for implementing the partition denoising device based on the near-surface type in the embodiments, and the contents thereof are incorporated herein, and repeated details are not repeated here.
Fig. 6 is a schematic block diagram of a system configuration of an electronic device 9600 according to an embodiment of the present application. As shown in fig. 6, the electronic device 9600 can include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. Notably, this FIG. 6 is exemplary; other types of structures may also be used in addition to or in place of the structure to implement telecommunications or other functions.
In one embodiment, the near surface type based partition denoising function may be integrated into the central processor 9100. The central processor 9100 may be configured to control as follows:
acquiring near-surface types of a work area acquired by seismic data and determining geodetic coordinates corresponding to the near-surface types; determining a 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 a denoising mode and a denoising parameter of each near-surface type, and performing partition denoising based on the denoising mode and the denoising parameter.
As can be seen from the above description, the electronic device provided in the embodiments of the present application obtains the near-surface type of the work area where the seismic data are acquired and determines the geodetic coordinates corresponding to each near-surface type; determining a near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition work area; the method comprises the steps of determining a denoising mode and a denoising parameter of each near-surface type, and performing partition denoising based on the denoising mode and the denoising parameter, so that effective wave information is protected from loss while interference is removed, and denoising efficiency and denoising effect are improved.
In another embodiment, the near-surface type partition-based denoising apparatus may be configured separately from the central processor 9100, for example, the near-surface type partition-based denoising apparatus may be configured as a chip connected to the central processor 9100, and the near-surface type partition-based denoising function is implemented by the control of the central processor.
As shown in fig. 6, the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is noted that the electronic device 9600 also does not necessarily include all of the components shown in fig. 6; further, the electronic device 9600 may further include components not shown in fig. 6, which may be referred to in the art.
As shown in fig. 6, a central processor 9100, sometimes referred to as a controller or operational control, can include a microprocessor or other processor device and/or logic device, which central processor 9100 receives input and controls the operation of the various components of the electronic device 9600.
The memory 9140 can be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information relating to the failure may be stored, and a program for executing the information may be stored. And the central processing unit 9100 can execute the program stored in the memory 9140 to realize information storage or processing, or the like.
The input unit 9120 provides input to the central processor 9100. The input unit 9120 is, for example, a key or a touch input device. Power supply 9170 is used to provide power to electronic device 9600. The display 9160 is used for displaying display objects such as images and characters. The display may be, for example, an LCD display, but is not limited thereto.
The memory 9140 can be a solid state memory, e.g., Read Only Memory (ROM), Random Access Memory (RAM), a SIM card, or the like. There may also be a memory that holds information even when power is off, can be selectively erased, and is provided with more data, an example of which is sometimes called an EPROM or the like. The memory 9140 could also be some other type of device. Memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application/function storage portion 9142, the application/function storage portion 9142 being used for storing application programs and function programs or for executing a flow of operations of the electronic device 9600 by the central processor 9100.
The memory 9140 can also include a data store 9143, the data store 9143 being used to store data, such as contacts, digital data, pictures, sounds, and/or any other data used by an electronic device. The driver storage portion 9144 of the memory 9140 may include various drivers for the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, contact book applications, etc.).
The communication module 9110 is a transmitter/receiver 9110 that transmits 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 in the case of a conventional mobile communication terminal.
Based on different communication technologies, a plurality of communication modules 9110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, may be provided in the same electronic device. The communication module (transmitter/receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and receive audio input from the microphone 9132, thereby implementing ordinary telecommunications functions. The audio processor 9130 may include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 9130 is also coupled to the central processor 9100, thereby enabling recording locally through the microphone 9132 and enabling locally stored sounds to be played through the speaker 9131.
Embodiments of the present invention further provide a computer-readable storage medium capable of implementing all steps of the near-surface type partition-based denoising method in the above embodiments, where the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, implements all steps of the near-surface type partition-based denoising method in the above embodiments, for example, the processor implements the following steps when executing the computer program:
acquiring near-surface types of a work area acquired by seismic data and determining geodetic coordinates corresponding to the near-surface types; determining a 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 a denoising mode and a denoising parameter of each near-surface type, and performing partition denoising based on the denoising mode and the denoising parameter.
As can be seen from the above description, the computer-readable storage medium provided in the embodiments of the present invention obtains the near-surface type of the work area acquired by the seismic data and determines the geodetic coordinates corresponding to each near-surface type; determining a near-surface type corresponding to each shot point according to the geodetic coordinates of the shot points in the seismic data acquisition work area; the method comprises the steps of determining a denoising mode and a denoising parameter of each near-surface type, and performing partition denoising based on the denoising mode and the denoising parameter, so that effective wave information is protected from loss while interference is removed, and denoising efficiency and denoising effect are improved.
Although the present invention provides method steps as described in the examples or flowcharts, more or fewer steps may be included based on routine or non-inventive labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or client product executes, it may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, apparatus (system) or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention is not limited to any single aspect, nor is it limited to any single embodiment, nor is it limited to any combination and/or permutation of these aspects and/or embodiments. Moreover, each aspect and/or embodiment of the present invention may be utilized alone or in combination with one or more other aspects and/or embodiments thereof.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.

Claims (12)

1. A partition denoising method based on a near-surface type is characterized by comprising the following steps:
acquiring near-surface types of a work area acquired by seismic data and determining geodetic coordinates corresponding to the near-surface types;
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 a denoising mode and a denoising parameter of each near-surface type, and performing partition denoising based on the denoising mode and the denoising parameter.
2. The near-surface type partition-based denoising method of claim 1, further comprising:
acquiring first arrival time of each shot point in a work area for acquiring seismic data;
carrying out chromatography inversion processing according to the first arrival time to obtain a surface velocity model of the work area;
and partitioning the near-surface type of the work area based on geodetic coordinates according to the surface velocity model.
3. The method of claim 1, further comprising, after the performing the partition denoising based on the denoising manner and the denoising parameter, the method of denoising based on the near-surface type partition, the following steps:
and integrating shot point data corresponding to each shot point after denoising according to an original shot sequence.
4. The method for partition denoising based on the near-surface type according to claim 1, wherein the determining a denoising manner and a denoising parameter for each near-surface type, and the partition denoising based on the denoising manner and the denoising parameter comprises:
selecting a denoising mode corresponding to each near-surface type;
determining a denoising parameter corresponding to the selected denoising mode according to a specific parameter corresponding to each near-surface type; wherein, the specific parameters are as follows: the apparent velocity of the surface wave interference and the apparent velocity of the shallow refracted wave interference;
and denoising the shot point data in the local region based on the denoising mode and the denoising parameter corresponding to each near-surface type.
5. The near-surface type partition denoising method according to claim 1, wherein the near-surface type of the work area comprises: at least one of farmland, swamp and rock.
6. A partition denoising device based on a near-surface type is characterized by comprising:
the near-surface type unit is used for acquiring the near-surface type of a work area for acquiring seismic data and determining geodetic coordinates corresponding to each near-surface type;
the dividing unit is 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 work area;
and the denoising unit is used for determining the denoising mode and the denoising parameter of each near-surface type and carrying out partition denoising based on the denoising mode and the denoising parameter.
7. The near-surface type partition-based denoising device of claim 6, further comprising:
the acquisition unit is used for acquiring the first arrival time of each shot point in a work area for acquiring seismic data;
the inversion unit is used for carrying out chromatography inversion processing according to the first arrival time to obtain a surface velocity model of the work area;
and the partitioning unit is used for partitioning the near-surface type of the work area based on the geodetic coordinates according to the surface layer velocity model.
8. The near-surface type partition-based denoising device of claim 6, further comprising:
and the integration unit is used for integrating the shot point data corresponding to each shot point after denoising according to the original shot sequence.
9. The near-surface type partition-based denoising device of claim 6, wherein the denoising unit comprises:
the selecting subunit is used for selecting the denoising modes corresponding to the near-surface types;
the parameter subunit is used for determining the denoising parameters corresponding to the denoising mode according to the specific parameters corresponding to the near-surface types; wherein, the specific parameters are as follows: the apparent velocity of the surface wave interference and the apparent velocity of the shallow refracted wave interference;
and the denoising subunit is used for denoising the shot point data in the local region based on the denoising modes and the denoising parameters corresponding to the near-surface types.
10. The near-surface type partition denoising device of claim 6, wherein the near-surface type of the work zone comprises: at least one of farmland, swamp and rock.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the near-surface type partition-based denoising method according to any one of claims 1 to 5 when executing the program.
12. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the near-surface type partition-based denoising method according to any one of claims 1 to 5.
CN202011384755.8A 2020-12-01 2020-12-01 Partition denoising method and device based on near-surface type Pending CN114578418A (en)

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Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
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CN114578418A true CN114578418A (en) 2022-06-03

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