摘要
在原始地震资料中,由于强线性干扰波的存在,导致地震剖面信噪比降低,严重制约了地质资料的解释研究工作。为了消除线性干扰波,提高资料信噪比,提出了利用自动追踪奇异值分解(SVD,singular value decomposition)方法,在叠前消除资料中的线性干扰波。该方法通过自动追踪倾斜线性干扰波,利用小窗口技术恢复线性干扰信号,并进行奇异值分解计算,使原始地震记录与线性干扰信号相减,便可得到反射波有效信号。结合实际资料应用的结果表明,该方法能有效地消除线性干扰信号,达到提高地震资料信噪比的目的。
In field seismic data, some heavy relative interference always exist in them. They decrease the SNR of seismic sections and interfere with interpretation. In order to remove relative interference and improve the SNR of seismic data, this paper presents an automatic tracing SVD method to pre-stack removing heavy relative interference. This approach combines automatic-tracing theory with SVD method together. Through tracing relative interference, it uses the small window technique to recover interference signal and obtain effective signal by subtracting noises from the field data. The result shows that the method can eliminate relative interference effectively and enhance the SNR of seismic data.
出处
《现代地质》
CAS
CSCD
北大核心
2007年第4期733-737,共5页
Geoscience
基金
北京市重点学科资助项目(XK104910598)
关键词
地震资料
线性干扰
自动追踪
奇异值分解
小窗口技术
seismic data
relative interference
automatic tracing
SVD
small window technique