Two-Dimensional Wavelet Transform to Identify Fractures in Imaging Logging
详细信息
- 责任者：Zhang Xiaofeng (Key Laboratory of Radioactive Geology and Exploration Technology Fundamental Science for National Defense ; East China Institute of Technology ; Fuzhou 344000 ; China) ; Pan Baozhi
- 刊名：Oil Geophysical Prospecting
- 出版年：2012
- 卷期：47(1)
- 关键词：小波变换 ; wavelet transform ; 成像测井 ; image logging ; 山东 ; Shandong Province
- 页码：p.173-176
- 图表：4 illus., 10 refs.
- 分类号：1600
- issnNo：ISSN1000-7210
- isbnNo：CN13-1095/TE
摘要
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.