SVD adaptive seismic data noise suppression method

A technology for seismic data and noise suppression, applied in the field of denoising seismic data in shallow formations, can solve problems such as reducing data processing efficiency, achieve the effects of reducing inappropriateness, reducing possibility, and improving quality

CN111290024AActive Publication Date: 2020-06-16JILIN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2020-06-16

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Abstract

The invention relates to an SVD adaptive seismic data noise suppression method, which comprises the steps of: firstly, carrying out smooth preprocessing on data by using an average filter, and markingstrong periodic noise channels according to the difference between average energy values of all channels; secondly, rounding an average time period mean value of each channel to serve as a column number of a single-channel constructed Hankel matrix, and enhancing the correlation between the channels of the reconstructed matrix; and finally, performing SVD on each reconstruction matrix one by one,inputting singular values into a constructed K-K joint network for identification and distinguishing so as to determine values corresponding to different correlation strength degrees in the signals,reserving valid signal singular values for data reconstruction, and completing adaptive noise suppression in the time domain. According to the SVD adaptive seismic data noise suppression method, the K-K joint network is introduced to determine the SVD reconstruction order, so that the situation of depending on human experience is reduced. The SVD adaptive seismic data noise suppression method cansuppress periodic noise and random noise which always penetrate through single-channel data such as power frequency interference and are high in regularity at the same time for shallow stratum seismicdata, so as to improve the seismic data quality.
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Description

technical field

[0001] The invention belongs to the field of denoising seismic data in shallow strata, and aims at strong periodic noise and random noise in seismic data, in particular an SVD adaptive seismic data noise suppression method based on K-K joint network. Background technique

[0002] The shallow stratum seismic data collected in the field contains a large amount of information such as underground structure and lithology, as well as random noise, and strong periodic noise such as power frequency interference throughout the data, that is, there is a mixture of effective information and different noises. Stacking directly affects the quality and signal-to-noise ratio of seismic data, which is not conducive to further analysis and processing of data. SVD analysis technology, one of the data processing methods, has been applied to noise suppression of seismic data by many scholars because of its advantages such as easy implementation. The essence of SVD is an orthogo...

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Embodiment Construction

[0045] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0046] see figure 1 As shown in Fig. 1, the mean value filter is used to preprocess the data smoothing, and the strong periodic noise channel is marked according to the difference between the average energy values ​​of each channel. Secondly, the average value of the average time period of each channel is rounded up, and used as the number of columns to construct the Hankel matrix for a single channel, and the correlation between the channels of the reconstruction matrix is ​​strengthened. Finally, SVD (singular value decomposition) is performed on each reconstruction matrix one by one, and the singular values ​​are sent t...