Log data denoising based on Wiener filter
Traditional methods of log data denoising can not make full use of the available lithologic analysis data of rock core,and can not give out an exact evaluation about the denoising effects.This paper proposes a method of log data denoising based on Wiener filter.Firstly,a segment of log data and their corresponding lithologic analysis data are extracted to work out the Wiener filter model;and then another log data are taken out to import the filter,and the signals are put out by the symmetrical convolution method;finally,the output signals are compared with the data worked out by the data of lithologic analysis;in order to decide the precision of this Wiener filter in the case of log signal denoising.This paper takes acoustic travel time and porosity as a case,building up a Wiener filter,the curve matching and the deniosing precision showed that noise is eliminated effectly and the error is small.In result this method can have an actual application in log signal denoising.
Wiener filter acoustic transit time porosity
Feng Zhou Heping Pan Guoping Wu Salim A.M.A
Institute of Geophysics & Geomatics,China University of Geosciences,Wuhan 430074,China
国际会议
The 3rd International Conference on Environmental and Engineering Geophysics(第三届环境与工程地球物理国际会议)
武汉
英文
646-649
2008-06-15（万方平台首次上网日期，不代表论文的发表时间）