Research On Induction Logging Deconvolution Filter Design Method

Induction logging is an important electric logging method with merit of deep detection. One ways to improve the precision is dispose the response function veraciously. Basing on the principle of deconvolution in signal process, two methods of decovolution arithmetic of vertical geometric factor are bringed forward. The major researches direct the Wiener filter, the Blackman filter and the advanced study of deconvolution. And the results of improvement have been proved.With the introduction of the scale of induction logging tool, resolution ratio of conductivity is improved by instrument in terms of precision improving. In study of Wiener filter, contact with the theory of deconvolution, the method of signal deconvolution was defined. And the program of deconvolutated by the Wiener filter is presented in this paper. The arithmetic is available proved by simulation. In study of the deconvolution with Blackman filter, deconvolution method is proved based on the basic theory of signal process. Helping with window function deconvolution, the elements of deconvolution are corrector. This method can be used in most entironment. Studying with the flaw of the two signal deconvolution methods, the improvements were used to fresh the results. New methods improved the identification on vertical geometric factor.Signal deconvolution methods in paper have been proved effective and valuable in improving the precision. Parts of these methods are used in many fields in oil detection of logging.