DOI: 10.36347/sjet

Pages: 182-185

Well log is a data manifestation of geographical, chemical, physical and other information detected in different geological environment and formation condition by means of different well log methods. Aiming at the noise existing in well log signal and the property of its morphological characteristics and combining and analyzing bilinear interpolation algorithm and the theory of wavelet transform of well log, the paper proposes the application of a modified wavelet bilinear interpolation algorithm in well log similarity. In addition to eliminating noise in well log signals, the modified wavelet bilinear interpolation algorithm reserves detailed information of well log and lays a good pretreatment foundation for comparing the similarity of well log. The detailed feature information of well log received after modifying wavelet bilinear interpolation is analyzed and judged by means of slope distance metric method to identify the similarity of well log. As experiment shows, this method is well applied in comparing the similarity of well log.