Log data denoising based on Wiener filter

摘要

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.