A Time-Frequency Peak Filtering Method of Seismic Signals Based on Born-Jordan Time-Frequency Distribution

A technology of time-frequency distribution and peak filtering, applied in seismic signal processing, seismology, geophysical measurement, etc., can solve the problem of unsatisfactory denoising effect, achieve ringing elimination, good suppression effect, and good effect Effect

Active Publication Date: 2017-11-07
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

The above methods have made some improvements in how to enhance the linearity of seismic signals in the time window, but they all use time-frequency analysis of the signal based on PWVD, and the denoising effect is not very ideal. However, the method in this paper uses the Born-Jordan time-frequency distribution to analyze Time-frequency analysis of the signal to further enhance the linearity of the seismic signal

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  • A Time-Frequency Peak Filtering Method of Seismic Signals Based on Born-Jordan Time-Frequency Distribution
  • A Time-Frequency Peak Filtering Method of Seismic Signals Based on Born-Jordan Time-Frequency Distribution
  • A Time-Frequency Peak Filtering Method of Seismic Signals Based on Born-Jordan Time-Frequency Distribution

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Embodiment Construction

[0041] The present invention will be specifically described below in conjunction with the accompanying drawings:

[0042] Step 1: Input the noisy seismic section to be processed (e.g. figure 2 shown), read each seismic data cyclically.

[0043] Step 2: Perform the following amplitude normalization processing on each seismic trace data of the read-in seismic profile with noise, and the calculation formula is:

[0044]

[0045] In the formula, s(t) is the read seismic data containing noise. Set a=0.5 and b=0 during calculation, and select the 20th track as an example to perform amplitude normalization processing. The results are as follows: image 3 and Figure 4 shown (before amplitude normalization as image 3 As shown, after amplitude normalization, Figure 4shown).

[0046] Step 3: Code each track of the seismic data containing noise as the instantaneous frequency of the unit amplitude analytical signal to obtain the analytical signal to be processed. The calculatio...

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Abstract

A time-frequency peak filtering algorithm based on Born-Jordan time-frequency distribution, which aims to enhance the linearity of seismic signals in the time window and suppress noise to a greater extent, improve the accuracy of signal recovery and the signal-to-noise of filtered seismic data Compare. First, input the original seismic section with noise to be processed; normalize the amplitude of each seismic record of the noise-containing section; encode each seismic record after normalization processing as the instantaneous frequency of the unit amplitude analytical signal, Obtain the analytical signal to be processed; perform Born-Jordan time-frequency analysis on the analytical signal to obtain the time-frequency distribution; find the frequency of the analytical signal corresponding to the peak value on the time-frequency distribution along the frequency direction on the time-frequency distribution, and find the frequency Perform denormalization of the amplitude as the estimated value of the effective signal; repeat steps 2-step 5 for each trace, and finally obtain the estimated value of the entire seismic section after denoising.

Description

technical field [0001] The invention belongs to the field of non-stationary signal time-frequency analysis and seismic signal processing, in particular to a time-frequency peak filtering method for seismic signals based on Born-Jordan time-frequency distribution. Background technique [0002] Time-frequency peak filtering is a seismic signal denoising technique, which encodes the noise-containing signal to be processed into the instantaneous frequency of the analytical signal, and estimates the instantaneous frequency of the analytical signal by searching for peaks along the frequency direction after time-frequency analysis of the analytical signal. , so as to restore and de-noise the original signal. A number of studies have proved the practicability of this method in seismic exploration data processing, and it plays a key role in improving the signal-to-noise ratio of low-signal-to-noise ratio seismic exploration data for subsequent analysis of geological structures. [0...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/36
CPCG01V1/364
Inventor 彭真明刘雨菡桑湘鑫李新彦袁程波李丹何艳敏
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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