Seismic signal time frequency peak value filtering method based on Born-Jordan time frequency distribution

Abstract

The invention provides a time frequency peak value filtering algorithm based on Born-Jordan time frequency distribution aiming at increasing the linearity of seismic signals in time windows, suppressing noise at a greater degree, and increasing the precision of signal reconstruction and signal to noise ratio of seismic data after filtering. The method comprises following steps: first, inputting a noise-containing original seismic profile to be processed; performing amplitude standardization process to each seismic record of the noise-containing profile; coding each seismic record after standardization process as instantaneous frequency of a unit amplitude analytic signal to obtain analytic signals to be processed; performing Born-Jordan time frequency analysis to the analytic signals to obtain a time frequency distribution; finding the frequency of an analytic signal corresponding to the peak value of the time frequency distribution in the frequency direction on the time frequency distribution, and performing amplitude de-standardization process to the found frequency to obtain an estimation value of effective signals; repeatedly performing step 2 to step 5 to each seismic record, and obtaining an estimation value of the whole seismic profile after de-standardization.

Description

technical field [0001] The invention belongs to the fields of time-frequency analysis of non-stationary signals and seismic signal processing, in particular to a time-frequency peak filtering method of seismic signals based on Born-Jordan time-frequency distribution. Background technique [0002] Time-frequency peak filtering is a seismic signal denoising technology, 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 performing time-frequency analysis on the analytical signal and finding the peak along the frequency direction , so as to realize the restoration and denoising of the original signal. Many 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 geolo...

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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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