Two-dimensional wavelet transform to identify fractures in imaging logging
Zhang Xiaofeng1, Pan Baozhi2
1. Key Laboratory of Radioactive Geology and Exploration Technology Fundamental Science for National Defense,East China Institute of Technology,Fuzhou,Jiangxi 344000,China;
2. College of Geo-exploration Science and Technology,Jilin University,Changchun,Jilin 130026,China
Abstract：Imaging logging usually gives an accurate intuitive response of fractures.This paper discusses two-dimensional wavelet transform for conductivity curve of imaging logging.The conductivity curve of imaging logging is decomposed by wavelet transform,and the relationship between decomposed signals and fracture are found out.The absolute values of the decomposed horizontal and vertical signals are added and then they are re-mapped to binary(fracture is 1,and no fracture is 0) in order to enhance fracture identification in imaging logging,and provide the basis for fracture identification in the interactive interpretation.Real data examples show that this approach is rather effective.
