CN112698396A - Data processing method and system for suppressing extremely strong environmental noise - Google Patents
Data processing method and system for suppressing extremely strong environmental noise Download PDFInfo
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Abstract
The invention provides a data processing method and a data processing system for suppressing extremely strong environmental noise, wherein the method comprises the following steps: acquiring seismic data of an original shot point, and analyzing the seismic data to obtain the distribution rule of environmental noise; according to the distribution rule of the environmental noise, suppressing abnormal interference noise in the shot-domain environment through frequency division abnormal amplitude attenuation; after pressing, performing earth surface consistency amplitude compensation to obtain amplitude compensation data in a shot-blasting domain environment; according to the amplitude compensation data in the shot domain environment, suppressing abnormal interference noise in a CMP domain by means of frequency division abnormal attenuation in an iterative processing mode, performing earth surface consistency amplitude compensation after each suppression, and obtaining a denoising processing result after the iterative processing is completed. The data processing method and the system for suppressing the extremely strong environmental noise can effectively suppress the environmental noise, obviously improve the signal-to-noise ratio of data, and lay a good data foundation for prestack migration and prestack inversion work.
Description
Technical Field
The invention belongs to the technical field of seismic data processing, and particularly relates to a data processing method and a data processing system for suppressing extremely strong environmental noise.
Background
In recent years, the popularization and application of the acquisition method of vibroseis excitation and single-point detector reception greatly improve the field production efficiency and reduce the production cost, but the acquisition method has very limited noise suppression capability, has extremely strong environmental noise on the original record, and has adverse effects on data processing and final results.
As shown in fig. 1, a graph of a typical raw recorded pure wave received by a vibroseis excitation, single point detector is shown. As can be seen from fig. 1, in addition to the near shot arrangement being able to identify first arrivals and reflections, the far arrangement is completely submerged in the strong energy anomaly interference, which severely affects the signal-to-noise ratio of the data. After processing, fig. 2 is a gain display diagram of fig. 1, and it can be seen that due to noise interference, effective reflections cannot be identified at all in common shot gather.
In view of the above, a technical solution capable of suppressing the environmental noise is needed.
Disclosure of Invention
In order to solve the problems, the invention provides a data processing method and a data processing system for suppressing the extremely strong environmental noise, which can suppress the noise to the maximum extent aiming at the pollution of the extremely strong environmental noise and the abnormal energy interference to the original data, and protect the effective information at the same time, thereby improving the signal-to-noise ratio of the seismic data.
In an embodiment of the present invention, a data processing method for suppressing extreme environmental noise is provided, including:
acquiring seismic data of an original shot point, and analyzing the seismic data to obtain the distribution rule of environmental noise;
according to the distribution rule of the environmental noise, suppressing abnormal interference noise in the shot-space environment through frequency division abnormal amplitude attenuation;
after pressing, performing earth surface consistency amplitude compensation to obtain amplitude compensation data in a shot-blasting domain environment;
according to the amplitude compensation data in the shot domain environment, suppressing abnormal interference noise of the CMP domain in an iterative processing mode through frequency division abnormal attenuation, performing earth surface consistency amplitude compensation after each suppression, and obtaining a denoising processing result after the iterative processing is completed.
In an embodiment of the present invention, a data processing system for suppressing extreme environmental noise is further provided, where the system includes:
the environment noise analysis module is used for acquiring seismic data of an original shot point and analyzing the seismic data to obtain the distribution rule of environment noise;
the noise suppression module is used for suppressing abnormal interference noise in the shot-space environment through frequency division abnormal amplitude attenuation according to the distribution rule of the environment noise;
the amplitude compensation module is used for performing earth surface consistency amplitude compensation after pressing to obtain amplitude compensation data in a shot-blasting domain environment;
and the iteration processing module is used for suppressing abnormal interference noise of the CMP domain in an iteration processing mode through frequency division abnormal attenuation according to the amplitude compensation data in the shot domain environment, performing earth surface consistency amplitude compensation after each suppression, and obtaining a denoising processing result after the iteration processing is finished.
In an embodiment of the present invention, a computer device is further provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the data processing method for suppressing the extreme environmental noise is implemented.
In an embodiment of the present invention, a computer-readable storage medium is also presented, which stores a computer program for executing the data processing method for suppressing extremely strong environmental noise.
The data processing method and the system for suppressing the extremely strong environmental noise can effectively suppress the environmental noise, obviously improve the signal-to-noise ratio of data, and lay a good data foundation for prestack migration and prestack inversion work.
Drawings
Fig. 1 is a pure wave representation of an original single shot record that is subject to strong energy interference.
Fig. 2 is a graph of fig. 1 after being gained using conventional techniques.
Fig. 3 is a flow chart of a data processing method for suppressing extreme environmental noise according to an embodiment of the present invention.
FIG. 4 is a detailed flow chart of a data processing method for suppressing extreme environmental noise according to an embodiment of the present invention.
Fig. 5 is a pure wave overlay cross-section of raw data in a cold north slope area according to an embodiment of the present invention.
FIG. 6 is a diagram illustrating a strong energy ambient noise distribution in a common shot region according to an embodiment of the present invention.
FIG. 7 is a graphical illustration of a high energy ambient noise distribution of a CMP domain in accordance with an embodiment of the present invention.
Fig. 8A to 8C are schematic diagrams of the profile, the frequency spectrum, and the signal-to-noise ratio of the target interval before performing amplitude preserving and denoising according to an embodiment of the present invention.
Fig. 9A to 9C are schematic diagrams of the profile, the frequency spectrum, and the signal-to-noise ratio of the target interval after shot-domain denoising according to an embodiment of the present invention.
Fig. 10A to 10C are schematic diagrams of the signal-to-noise ratio properties of the section, the spectrum, and the target layer segment after the CMP domain denoising according to an embodiment of the present invention.
Fig. 11A to 11C are schematic diagrams of profile, spectrum, and signal-to-noise ratio of a target interval after amplitude compensation according to an embodiment of the invention.
FIG. 12 is a diagram of a far shot arrangement raw record, in accordance with an embodiment of the present invention.
Fig. 13 is a schematic diagram of a remote shot arrangement comprehensive de-noising record according to an embodiment of the present invention.
Fig. 14A and 14B are schematic diagrams of a near-shot arrangement raw record and a spectrum before comprehensive denoising according to an embodiment of the present invention.
Fig. 15A and 15B are schematic diagrams of a synthesized denoised near-shot arrangement raw record and a spectrum, respectively, according to an embodiment of the present invention.
FIG. 16 is a block diagram of a data processing system configured to suppress extreme environmental noise, in accordance with an embodiment of the present invention.
Fig. 17 is a schematic structural diagram of an iterative processing module according to an embodiment of the present invention.
Detailed Description
The principles and spirit of the present invention will be described with reference to a number of exemplary embodiments. It is understood that these embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the invention, and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As will be appreciated by one skilled in the art, embodiments of the present invention may be embodied as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
According to the embodiment of the invention, a data processing method and a data processing system for suppressing extremely strong environmental noise are provided.
By analyzing the distribution rule of the environmental noise, the environmental noise is generally developed (or concentrated in a certain area) in the common shot point area, the suppression effect is not ideal, but the environmental noise is randomly distributed in the areas such as CMP, OVT, common wave detection points and the like. In contrast, according to the characteristic that the environmental noise is randomly distributed in other domains, the method adopts a gradual, iterative (iteration of denoising and amplitude compensation) and series method, so that the effective reflected signal is protected, and the environmental noise is suppressed to the maximum extent.
The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments of the invention.
Fig. 3 is a flowchart of a data processing method for suppressing extreme environmental noise according to an embodiment of the present invention, as shown in fig. 3, the method includes:
step S1, acquiring seismic data of an original shot point, and analyzing the seismic data to obtain the distribution rule of environmental noise;
and analyzing the distribution rule of a plurality of domains including a shot domain, a CMP domain, an OVT domain and a common detection point domain according to the seismic data of the original shot point.
Step S2, according to the distribution rule of the environmental noise, suppressing the abnormal interference noise in the shot domain environment through frequency division abnormal amplitude attenuation;
wherein the abnormal interference noise includes: ambient noise and anomalous interference energy.
And step S3, performing ground surface consistency amplitude compensation after pressing to obtain amplitude compensation data in the shot-blasting domain environment.
And step S4, according to the amplitude compensation data in the shot domain environment, suppressing abnormal interference noise of the CMP domain by frequency division abnormal attenuation in an iterative processing mode, performing ground surface consistency amplitude compensation after each suppression, and obtaining a denoising processing result after the iterative processing is completed.
In one embodiment, referring to fig. 4, a detailed flow chart of a data processing method for suppressing the extreme environmental noise is shown. As shown in fig. 4, after the process from step S1 to step S3, the detailed process flow of step S4 is:
step S401, according to the amplitude compensation data in the shot domain environment, serially connecting to perform frequency division abnormal amplitude attenuation, and suppressing abnormal interference noise of a CMP domain and a random domain to obtain a first suppression result;
step S402, on the basis of the first pressing result, serially connecting frequency division abnormal amplitude attenuation to press the residual abnormal interference noise of the CMP domain, and performing earth surface consistency amplitude compensation after pressing to obtain amplitude compensation data;
and S403, performing frequency division abnormal amplitude attenuation on the obtained amplitude compensation data in an iterative processing mode, suppressing the residual abnormal interference noise of the CMP domain, performing ground surface consistency amplitude compensation after each suppression, and obtaining a denoising processing result after the iterative processing is completed.
And judging whether the iteration processing is finished or not by setting a signal-to-noise ratio threshold, judging that the iteration processing is finished when the signal-to-noise ratio of the denoising processing result reaches the signal-to-noise ratio threshold, and stopping the iteration to obtain the denoising processing result. The result includes a valid reflected signal, which in turn suppresses ambient noise to a maximum extent.
In the whole data processing process, a monitoring noise superposition profile can be added in each denoising process, the frequency spectrum change is monitored at the same time, the damage degree of effective information and an effective information frequency band is obtained, and when the damage degree is smaller than a damage threshold value, the energy of the effective information is further recovered through earth surface consistency amplitude compensation, so that the purpose of amplitude-preserving denoising is achieved. Therefore, the condition that any effective information is damaged in the denoising process can be avoided, and the effective information frequency band is not lost.
It should be noted that although the operations of the method of the present invention have been described in the above embodiments and the accompanying drawings in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the operations shown must be performed, to achieve the desired results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
For a clearer explanation of the above data processing method for suppressing the strong environmental noise, a specific example is described below, however, it should be noted that the example is only for better explaining the present invention and is not to be construed as an undue limitation to the present invention.
The first embodiment is as follows:
taking the cold north slope area as an example, the seismic data of the original shot point in the area is acquired, and after elevation static correction processing, as shown in fig. 5, the acquired seismic data is a pure wave superposition cross section of the original data in the cold north slope area. As can be seen from fig. 5, the superimposed cross section containing the extremely strong environmental noise in the data makes it difficult to identify the structural form and the destination layer from the cross section, and the entire cross section is completely submerged in the interference noise.
By analyzing the distribution rule of the environmental noises of a plurality of domains including shot domains, CMP domains, OVT domains and common-detection-point domains, the characteristics that the environmental noises are generally developed (or concentrated in a certain region) in the common-shot-point domain, the suppression effect is not ideal, but are randomly distributed in the domains such as CMP, OVT, common-detection-point and the like can be seen; specifically, referring to fig. 6 and 7, fig. 6 is a schematic diagram of a strong energy environmental noise distribution in the common shot region, and fig. 7 is a schematic diagram of a strong energy environmental noise distribution in the CMP region.
As shown in fig. 6 and 7, according to the distribution characteristics of the environmental noise in each domain, the present invention adopts a gradual, iterative (iteration of denoising and amplitude compensation), and serial method, which not only protects the effective reflected signal, but also suppresses the environmental noise to the maximum extent.
The specific process can be combined with the process shown in fig. 3 and 4, the shot-blasting-area environment noise is suppressed, and the earth surface consistency amplitude compensation is performed; analyzing the noise by means of frequency division, and suppressing the main strong energy environment noise in a CMP domain; and (3) further attenuating the data of the extremely strong environment noise distribution area by adopting a series connection method, and simultaneously performing earth surface consistency amplitude compensation to further recover the energy of effective information so as to achieve the purpose of amplitude-preserving and denoising.
In the whole treatment process, the most critical is as follows: the noise superposition profile must be monitored in each denoising process, the condition that any effective information is damaged in the denoising process is not allowed, and the frequency spectrum change before and after denoising is monitored to ensure that the effective information frequency band is not lost.
Fig. 8A to 11C are schematic diagrams of the original profile, shot domain denoising, CMP domain denoising, and amplitude compensation in the loop iteration process.
Specifically, fig. 8A, 8B, and 8C are schematic diagrams of the profile, the frequency spectrum, and the signal-to-noise ratio of the target interval before performing amplitude preserving and denoising, respectively. Referring to fig. 8A, due to the influence of the strong energy abnormal noise and the environmental noise, the effective information is basically unrecognizable. Referring to fig. 8C, the snr attribute is 0.2-1 and the effective information is less.
After shot-region denoising, as shown in fig. 9A, 9B and 9C, the shot-region denoised profiles, frequency spectrums and signal-to-noise ratio attributes of the target interval are respectively schematic diagrams, it can be seen from the diagrams that effective information is increased, but recognition cannot be well performed, and the signal-to-noise ratio attribute of fig. 9C is 0.5-1.
Further performing CMP domain denoising, as shown in fig. 10A, 10B and 10C, which are schematic diagrams of the signal-to-noise ratio attributes of the section, the frequency spectrum and the target layer segment after CMP domain denoising, respectively, where the signal-to-noise ratio attribute of fig. 10C is 0.6-2.
After the denoising process, earth surface consistency amplitude compensation can be carried out, the energy of effective information is recovered, and the purpose of amplitude preservation and denoising is achieved.
Specifically, through 'denoising + amplitude compensation' of cyclic iteration, monitoring of a noise superposition profile in each denoising process is kept, the condition that any effective information is damaged in the denoising process is not allowed, and meanwhile, frequency spectrum changes before and after denoising are monitored, so that the effective information frequency band is guaranteed to be free of loss to carry out earth surface consistency amplitude compensation. As shown in fig. 11A, 11B, and 11C, which are schematic diagrams of the profile, the frequency spectrum, and the signal-to-noise ratio property of the target interval after amplitude compensation, respectively, the signal-to-noise ratio property of fig. 11C is 0.8-5; as can be seen from the figure, the environmental noise is effectively suppressed, and the data signal-to-noise ratio is obviously improved.
Example two:
taking a cold north slope area as an example, the data processing method for suppressing the extremely strong environmental noise is adopted to process the original data of the far and near shot point arrangement in the area.
As shown in fig. 12, which is a schematic diagram of the far shot arrangement original record, the effective reflection is completely submerged in the strong energy abnormal noise and the environmental noise, and the first arrival information cannot be identified. As shown in fig. 13, the schematic diagram of the recording after the remote shot point arrangement and the comprehensive denoising is shown, so that the abnormal interference can be well suppressed, the signal-to-noise ratio of the data can be greatly improved, and the effective reflection information can be seen on the single shot after the denoising.
Fig. 14A to 15B are schematic diagrams of the near-shot arrangement original record and the frequency spectrum before and after the de-noising.
As can be seen from comparing fig. 14A and fig. 15A, most of the abnormal interference and the surface wave interference are effectively suppressed, the signal-to-noise ratio of the data is greatly improved, and meanwhile, compared with the spectrum before and after denoising shown in fig. 14B and fig. 15B, the low-frequency effective information is protected to the maximum.
In conclusion, the data processing method for suppressing the extremely strong environmental noise can effectively suppress the environmental noise, obviously improve the signal-to-noise ratio of the data, and lay a good data foundation for prestack migration and prestack inversion work.
Based on the same inventive concept, the present invention further provides a data processing system for suppressing extremely strong environmental noise, as shown in fig. 16, the system includes:
the environmental noise analysis module 110 is configured to obtain seismic data of an original shot point, and analyze the seismic data to obtain a distribution rule of environmental noise;
the noise suppression module 120 is configured to suppress abnormal interference noise in the shot-space environment through frequency division abnormal amplitude attenuation according to the distribution rule of the environmental noise;
the amplitude compensation module 130 is used for performing earth surface consistency amplitude compensation after pressing to obtain amplitude compensation data in a shot-blasting domain environment;
and the iteration processing module 140 is configured to suppress abnormal interference noise of the CMP domain by frequency division abnormal attenuation according to the amplitude compensation data in the shot domain environment in an iteration processing manner, perform ground surface consistency amplitude compensation after each suppression, and obtain a denoising processing result after the iteration processing is completed.
The monitoring module 150 is configured to monitor changes of a noise superposition profile and a frequency spectrum in each abnormal interference noise suppression process, and acquire effective information and a damage degree of an effective information frequency band;
when the damage degree is smaller than the damage threshold, the amplitude compensation module 130 or the iterative processing module 140 performs the earth surface consistency amplitude compensation accordingly.
As shown in fig. 17, the iterative processing module 140 further includes:
a noise suppression unit 1401, configured to serially connect amplitude compensation data in the shot-space environment to perform frequency division abnormal amplitude attenuation, and suppress abnormal interference noise in the CMP space and the random space to obtain a first suppression result;
an iteration processing unit 1402, configured to perform frequency division abnormal amplitude attenuation in series on the basis of the first pressing result, press the remaining abnormal interference noise in the CMP domain, and perform ground surface consistency amplitude compensation after pressing is completed to obtain amplitude compensation data;
the iteration processing unit 1402 performs frequency division abnormal amplitude attenuation on the obtained amplitude compensation data by using an iteration processing mode, suppresses the residual abnormal interference noise of the CMP domain, performs earth surface consistency amplitude compensation after each suppression, determines that the iteration processing is completed when the signal-to-noise ratio of the denoising processing result reaches a signal-to-noise ratio threshold, stops the iteration, and obtains the denoising processing result after the iteration processing is completed.
It should be noted that although several modules of the data processing system are mentioned in the above detailed description that are very strong ambient noise suppressed, this division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the modules described above may be embodied in one module according to embodiments of the invention. Conversely, the features and functions of one module described above may be further divided into embodiments by a plurality of modules.
In an embodiment of the present invention, a computer device is further provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the data processing method for suppressing the extreme environmental noise is implemented.
In an embodiment of the present invention, a computer-readable storage medium is also presented, which stores a computer program for executing the data processing method for suppressing extremely strong environmental noise.
The data processing method and the system for suppressing the extremely strong environmental noise can effectively suppress the environmental noise, obviously improve the signal-to-noise ratio of data, and lay a good data foundation for prestack migration and prestack inversion work.
While the spirit and principles of the invention have been described with reference to several particular embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, nor is the division of aspects, which is for convenience only as the features in such aspects may not be combined to benefit. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (12)
1. A data processing method for suppressing extremely strong environmental noise is characterized by comprising the following steps:
acquiring seismic data of an original shot point, and analyzing the seismic data to obtain the distribution rule of environmental noise;
according to the distribution rule of the environmental noise, suppressing abnormal interference noise in the shot-space environment through frequency division abnormal amplitude attenuation;
after pressing, performing earth surface consistency amplitude compensation to obtain amplitude compensation data in a shot-blasting domain environment;
according to the amplitude compensation data in the shot domain environment, suppressing abnormal interference noise of the CMP domain in an iterative processing mode through frequency division abnormal attenuation, performing earth surface consistency amplitude compensation after each suppression, and obtaining a denoising processing result after the iterative processing is completed.
2. The data processing method for suppressing extremely strong environmental noise according to claim 1, wherein the steps of obtaining seismic data of an original shot point, and analyzing the seismic data to obtain a distribution rule of the environmental noise comprise:
and analyzing the distribution rule of a plurality of domains including a shot domain, a CMP domain, an OVT domain and a common detection point domain according to the seismic data of the original shot point.
3. A data processing method of suppressing extreme environmental noise according to claim 1, wherein the suppressing of the abnormal disturbance noise comprises: ambient noise and anomalous interference energy.
4. The data processing method for suppressing extreme strong environmental noise according to claim 1, wherein the data processing method for suppressing abnormal interference noise in a CMP domain by frequency division abnormal attenuation in an iterative processing manner according to the amplitude compensation data in the shot domain environment, wherein the earth surface consistency amplitude compensation is performed after each suppression, and when the iterative processing is completed, a denoising processing result is obtained, the method comprising:
according to the amplitude compensation data in the shot domain environment, serially connecting to perform frequency division abnormal amplitude attenuation, and suppressing abnormal interference noise of a CMP domain and a random domain to obtain a first suppression result;
on the basis of the first pressing result, serially connecting frequency division abnormal amplitude attenuation to press the residual abnormal interference noise of the CMP domain, and performing earth surface consistency amplitude compensation after pressing to obtain amplitude compensation data;
and performing frequency division abnormal amplitude attenuation on the obtained amplitude compensation data by using an iterative processing mode, suppressing the residual abnormal interference noise of the CMP domain, performing earth surface consistency amplitude compensation after each suppression, and obtaining a denoising processing result after the iterative processing is completed.
5. The data processing method for suppressing extreme strong environmental noise according to claim 4, wherein the abnormal interference noise in the CMP domain is suppressed by frequency division abnormal attenuation in an iterative processing mode according to the amplitude compensation data in the shot domain environment, the earth's surface consistency amplitude compensation is performed after each suppression, and a denoising processing result is obtained after the iterative processing is completed, further comprising:
setting a signal-to-noise ratio threshold;
and when the signal-to-noise ratio of the denoising processing result reaches the signal-to-noise ratio threshold value, judging that the iteration processing is finished, and stopping the iteration.
6. A method of processing data to suppress extreme environmental noise according to any one of claims 1 to 5, the method further comprising:
in each abnormal interference noise suppression process, monitoring the changes of the noise superposition section and the frequency spectrum, acquiring the damage degree of effective information and the effective information frequency band, and performing ground surface consistency amplitude compensation when the damage degree is smaller than a damage threshold value.
7. A data processing system for suppressing extreme environmental noise, the system comprising:
the environment noise analysis module is used for acquiring seismic data of an original shot point and analyzing the seismic data to obtain the distribution rule of environment noise;
the noise suppression module is used for suppressing abnormal interference noise in the shot-space environment through frequency division abnormal amplitude attenuation according to the distribution rule of the environment noise;
the amplitude compensation module is used for performing earth surface consistency amplitude compensation after pressing to obtain amplitude compensation data in a shot-blasting domain environment;
and the iteration processing module is used for suppressing abnormal interference noise of the CMP domain in an iteration processing mode through frequency division abnormal attenuation according to the amplitude compensation data in the shot domain environment, performing earth surface consistency amplitude compensation after each suppression, and obtaining a denoising processing result after the iteration processing is finished.
8. A data processing system that suppresses extreme environmental noise as set forth in claim 7, wherein said iterative processing module further comprises:
the first suppression unit is used for serially connecting the amplitude compensation data under the shot domain environment to perform frequency division abnormal amplitude attenuation and suppressing abnormal interference noise of a CMP domain and a random domain to obtain a first suppression result;
the iteration processing unit is used for serially connecting frequency division abnormal amplitude attenuation on the basis of the first pressing result, pressing the residual abnormal interference noise of the CMP domain, and performing earth surface consistency amplitude compensation after pressing to obtain amplitude compensation data;
and the iterative processing unit performs frequency division abnormal amplitude attenuation on the obtained amplitude compensation data in an iterative processing mode, suppresses the residual abnormal interference noise of the CMP domain, performs earth surface consistency amplitude compensation after each suppression, and obtains a denoising processing result after the iterative processing is completed.
9. The data processing system for suppressing extreme environmental noise as recited in claim 8, wherein said iterative processing unit is further configured to determine that the iterative processing is completed and stop the iteration when the signal-to-noise ratio of the denoising result reaches a signal-to-noise ratio threshold.
10. A data processing system to suppress extreme environmental noise according to any of claims 7 to 9, characterized in that the system further comprises: the monitoring module is used for monitoring the change of a noise superposition section and a frequency spectrum in each abnormal interference noise suppression process to acquire effective information and the damage degree of an effective information frequency band;
and when the damage degree is smaller than the damage threshold value, the amplitude compensation module or the iterative processing module correspondingly carries out earth surface consistency amplitude compensation.
11. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 5 when executing the computer program.
12. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 5.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114355446A (en) * | 2022-01-06 | 2022-04-15 | 中国科学院地质与地球物理研究所 | Vibroseis seismic data black triangular area noise suppression method based on high-resolution time-frequency transformation |
| CN116381784A (en) * | 2023-04-07 | 2023-07-04 | 北京市地质调查研究所 | Common offset range abnormal amplitude suppression method for two-dimensional seismic data imaging |
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