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Wavelet identification of the spatial distribution of fractures
Author(s) -
Sahimi Muhammad,
Hashemi Mehrdad
Publication year - 2001
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2000gl011961
Subject(s) - wavelet , aquifer , geology , transformation (genetics) , scale (ratio) , porosity , oil field , groundwater , identification (biology) , field (mathematics) , wavelet transform , soil science , remote sensing , data mining , computer science , petroleum engineering , artificial intelligence , geotechnical engineering , cartography , mathematics , biochemistry , chemistry , pure mathematics , geography , gene , botany , biology
We propose a novel and efficient method for identifying the spatial distribution of fractures and faults of field‐scale porous media, such as oil reservoirs and groundwater aquifers. The method is based on wavelet transformation of the porosity logs, and is demonstrated by its applications to synthetic as well as real data.