Study On Extraction Of Seismic Attributes By Synchrosqueezing Wavelet

The seismic attribute can not only be used directly to study the lithology, structure of the earth medium,but also can reflect the quality factor of the medium. However, in practical applications,there are some limitations in the measurement accuracy and anti-jamming capability of the attribute parameters.Aiming at this problem, this paper studies the method of extracting seismic attribute parameters by synchrosqueezing wavelet transform.This paper is divided into two parts: the first is the suppression of the noise by the synchrosqueezing wavelet transform,and the other is the extraction of the seismic attribute parameters by the synchrosqueezing wavelet transform.Specific research work is as follows:(1)The narrowband signal and wide-band signal are tested by the wavelet transform and the synchrosqueezing wavelet transform respectively.The distribution of noise in transform domain is studied.(2)The noise suppression in, the wavelet domain is discussed,and the denoising methods of median filter, mean fillter and information entropy filter in the wavelet domain are studied.Finally,the three filtering effects are compared and studied.(3)Three instantaneous parameters of seismic signals are extracted by Hilbert transform and synchrosqueezing wavelet transform respectively.Finally, the validity of the method is verified by the simulated signals and real seismic data.Experimental results show that the synchrosqueezing wavelet transform is a new method of wavelet transform,which can converted the time-domain signal into high-resolution time-frequency spectrum.Then, combining the idea of spectrum rearrangement to obtain the value of the synchrosqueezing transform by squeezing the interval value of any center frequency. The synchrosqueezing wavelet transform can be used to compress the random noise into the point noise or the particle noise, and the aggregation distribution. Based on the distribution of noise characteristics,the proper filtering method can be chosen to achieve the purpose of suppressing noise.On this basis,the instantaneous attributes of seismic signals are extracted.Compared with the traditional Hilbert transform, the synchrosqueezing wavelet transform can achieve higher precision and stronger anti-jamming ability.