摘要
本文提出了一种提取声波全波列测井信息的新方法——奇异值分解(SVD)法.文章简述了SVD的数学概念,并详细地介绍了SVD用于提取声波全波列测井记录信息的基本原理及其实现过程,该方法具有分辨率高、容噪能力强等优点.它对时间及空间采样间隔无要求(即适应有假频的情况),尤其适用于多条波形曲线的处理。
A new method extracting information from full waveform acoustic log data isproposed, which is called Singular Value Decomposition Method. First, the mathematicalconcept of SVD is described briefly. Then, its fundamentals and procedures are introducedin detail. The method has high resolution and good noise immunity but doesn't require strictregular sampling in time and space domain.
