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Filtering method for eliminating wild value of seismic data

A seismic data and outlier technology, applied in the field of seismic geology and seismic data signal processing, can solve problems such as unsatisfactory effect, undetermined outlier amplitude threshold, frequency or phase distortion, etc.

Active Publication Date: 2014-11-26
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

The only characteristic of the outlier signal is that its relative amplitude is extremely large, however, the amplitude threshold of the outlier is also uncertain
Smoothing filtering alone (such as median filtering) can effectively remove outliers, however, for other Fourier signals, frequency or phase distortion may occur
It is very difficult to automatically remove outliers in real number traces in the existing technology. At present, all seismic data processing systems have the function of automatically removing outliers, but the effect is not ideal, and none of them can effectively remove outliers without generating signals. or phase distortion

Method used

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  • Filtering method for eliminating wild value of seismic data
  • Filtering method for eliminating wild value of seismic data
  • Filtering method for eliminating wild value of seismic data

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Embodiment Construction

[0037] figure 1 It is a schematic flow chart of the method of the present invention. In the figure, the Hilbert transform decomposition method is first used to decompose the seismic data signal into an instantaneous envelope and a phase function, and then a smoothing filter step is implemented for the instantaneous envelope, and finally the filtered instantaneous envelope The network and the original phase function reconstruct and output the signal.

[0038] Real-signal channels with outliers such as figure 2 , first use the median filter to directly smooth the signal channel, the result is as follows image 3 As shown, although the outlier signal is eliminated, the peaks and troughs of other signals are distorted (flattened).

[0039] Using this technique, the figure 2 Hilbert transform the real signal channel to obtain the instantaneous envelope a(t), such as Figure 4 Shown and the phase function cosθ(t) as Figure 5 As shown, the median filter is performed on the in...

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Abstract

The invention belongs to the field for carrying out signal processing to seismic data in the seismic geological field, in particular to a method for effectively eliminating a wild value signal in signals. The invention adopts a seismic complex-trace filtering method and comprises the steps of concerting and decomposing a seismic data signal, carrying out smooth filtering, and reconstructing instantaneous envelopment subjected to smooth filtering and a wave-phase function of an original signal to eliminate an output signal of the wild value wave.

Description

technical field [0001] The invention belongs to the field of signal processing of seismic data in the field of seismic geology, and in particular relates to a method for effectively eliminating outlier signals in signals. Background technique [0002] In seismic data, the frequency and phase of the outlier signal are uncertain, and it may be a Fourier (periodic fluctuation) signal or a wavelet (non-periodic fluctuation) signal. Therefore, various filtering methods for frequency and phase have little effect on removing outliers. The only characteristic of the outlier signal is that its relative amplitude is extremely large, however, the amplitude threshold of the outlier is also uncertain. Using smoothing filter alone (such as median filter) can effectively remove outliers, however, for other Fourier signals, frequency or phase distortion may appear. It is very difficult to automatically remove outliers in real number traces in the existing technology. At present, all seism...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/28G01V1/36
Inventor 刘志成杨勤勇徐颖张兵吴鹏
Owner CHINA PETROLEUM & CHEM CORP
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