基于快速独立分量分析的自电测井信号去噪  

Noise removal from spontaneous potential logging signal based on Fastica

作　　者：江华根[1] 杨斌红[1] 敖春来[1] 邹连亮[1] 

机构地区：[1]中国人民解放军68612部队

出　　处：《水文地质工程地质》2013年第1期29-33,共5页Hydrogeology & Engineering Geology

摘　　要：针对自然电位测井信号中的噪声,提出了一种运用快速独立分量分析原理对自然电位测井信号进行去噪的方法。详细研究了自然电位测井信号噪声特性以及独立分量分析原理,应用基于负熵的FASTICA算法对自然电位测井信号进行去噪,并与小波去噪的效果进行比较。结果表明,该去噪方法更简单容易、去噪效果好、自适应能力强。A denoising method for spontaneous potential logging signal based on independent component analysis （ICA） is proposed in this paper. An intensive study is made of the noise characteristics of spontaneous potential logging signal and the principle of ICA, The proposed method is applied to denoising spontaneous potential logging signal using Fastica algorithm based on negentropy and is compared with the wavelet denoising method. The experimental results show that the denoising performance of the proposed method is easier to use and possesses a better denoising effect and adaptability.

关 键 词：自然电位测井信号 噪声分析 Fastiac算法 

分 类 号：P631.811[天文地球—地质矿产勘探]