LIFT去噪方法在低信噪比资料处理中的应用

传统去噪一般都是通过各种方法将原始数据分离为有效信号和噪声,从而达到去噪目的,在去噪的过程中,忽略了信号保真的处理原则,在去掉噪声的同时有可能也损害了有效信号。这里从传统去噪方法存在的问题入手,通过对传统去噪方法的原理分析,研究了LIFT去噪技术。LIFT去噪的核心是首先建立信号模型,然后将原始地震信号和信号模型相减,求得剩余信号。通过对剩余信号进行针对性的去噪处理,去除剩余信号中存在的噪声,然后再与信号模型进行合并重构,得到新的具有高信噪比、高保真的地震信号。将该方法在低信噪比地震资料处理中进行了实例测试,取得了理想的应用效果。

LIFT de-noising method applied in low SNR seismic data processing

Noise elimination traditionally separates signal and noise form original data by various methods, to achieve the pur pose of de-noising. However, during these de-noising processes, the principle of “high fidelity” is ignored and the effective signal may be damaged besides noise elimination. In this paper, beginning with the problems of traditional de noising meth ods, studied the LIFT de-noising technology through analyzing the principle of traditional de noising methods. The core of LIFT de-noising method is to establish the signal model firstly, then subtract the signal model from original seismic data and obtain the residual signal. Remove the noise in residual signal through targeted de noising process, and then merge with the signal model to reconstruct seismic effective signal of high signal to noise ratio and high fidelity. At last, the method was applied to actual seismic data of YM well region and ideal application results were achieved.