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Weighted nuclear norm minimization algorithm based on enhanced block matching precision, desert earthquake low-and-intermediate-frequency noise suppression method and application

A low-frequency noise and nuclear norm technology, applied in the field of desert noise suppression, can solve problems such as inability to effectively suppress random noise and inaccurate low-frequency noise.

Pending Publication Date: 2020-02-11
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The purpose of the present invention is to solve the problem that the random noise cannot be suppressed effectively, which leads to the inaccurate test of the desert noise and the low-frequency noise of the earthquake

Method used

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  • Weighted nuclear norm minimization algorithm based on enhanced block matching precision, desert earthquake low-and-intermediate-frequency noise suppression method and application
  • Weighted nuclear norm minimization algorithm based on enhanced block matching precision, desert earthquake low-and-intermediate-frequency noise suppression method and application
  • Weighted nuclear norm minimization algorithm based on enhanced block matching precision, desert earthquake low-and-intermediate-frequency noise suppression method and application

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Experimental program
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Effect test

Embodiment 1

[0116] Synthetic Seismic Recording Experiment

[0117] In order to verify the validity of the method of the present invention, the present invention first tests the synthetic seismic records. The present invention obtains the synthetic record as shown in Fig. 1 (a) through simulation, there are 7 effective events in total in this record, comprise hyperbolic reflection event, horizontal event, bending event, intersection event and interruption event, these events are produced by main Frequency is 25HZ or 30HZ Reike wavelet generation, in order to obtain the synthetic data close to real, the present invention adds the random noise of actual desert area, makes the signal-to-noise ratio of synthetic record be-13.0462dB, as shown in Fig. 1 (b), can Seeing that valid events are largely swamped by random noise;

[0118] In this embodiment, the present invention sets c as , m is 71, the size of the seismic data block is 4×4, and the length of the search window is 50; when dealing w...

Embodiment 2

[0132] Actual Seismic Recording Experiment

[0133] In order to further test the feasibility and effectiveness of the method of the present invention in processing actual data, the present invention uses it to process a 109 actual common shot point records collected in a certain desert area in Fig. 6 (a), the records of which The sampling frequency is 500Hz. It can be seen from Fig. 6(a) that the presence of random noise and surface waves conceals effective reflection events, and the continuity of effective seismic events is seriously damaged. In order to reflect the superiority of the method of the present invention to the suppressing of random noise in desert areas, the present invention also uses a bandpass filter, and the processing results of the original WNNM algorithm and bandpass+WNNM are compared with the method of the present invention. The processing results of these four methods correspond to Fig. 6(b)-(e) respectively. From Figure 6(b), it can be seen that the b...

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Abstract

The invention discloses a weighted nuclear norm minimization algorithm based on enhanced block matching precision. The invention discloses a desert earthquake low-and-intermediate-frequency noise suppression method based on a weighted nuclear norm minimization algorithm. The noise suppression method comprises the following steps: step 1, collecting desert earthquake low-frequency noises; determining an original reference data block and a plurality of common data blocks to obtain a filtered reference data block and a plurality of common data blocks; step 2, calculating the similarity between the filtered reference data block and each common data block, selecting first m filtered common data blocks as blocks similar to the filtered reference data block to form a data matrix by combination; step 3, acquiring an approximate similar block data matrix of an ideal pure similar block data matrix from the data matrix; and S4, acquiring approximate pure earthquake low-frequency noise data afternoise suppression. In addition, the invention further discloses application of the desert low-and-intermediate-frequency noise suppression method to suppression of desert earthquake low-and-intermediate-frequency noises.

Description

technical field [0001] The invention relates to the field of suppressing desert noise, in particular to a weighted kernel norm minimization algorithm based on enhanced block matching accuracy, and a method and application for suppressing low-frequency noise in desert earthquakes. Background technique [0002] In the process of seismic signal acquisition, the seismic signal will always be polluted by various random noises, which will greatly reduce the signal-to-noise ratio of the seismic signal and cause poor visibility. The existence of random noise will lead to invalid identification of reflection signals, which will affect the subsequent analysis of geological structures, so noise suppression plays a vital role in seismic signal processing. The low-frequency, non-stationary, and non-Gaussian characteristics of noise in desert areas make some traditional methods that have better results in dealing with Gaussian white noise unable to suppress the noise in desert areas well,...

Claims

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Application Information

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IPC IPC(8): G01V1/36
CPCG01V1/364G01V2210/3248
Inventor 李娟范伟李月卢长刚钱志鸿乔乔吕伟力叶心
Owner JILIN UNIV
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