Abstract
Logs data are valuable information that, if well interpreted, can provide useful knowledge about the petrophysical properties of the reservoir. In this study, wavelet transform for interpreting logs data are taken into consideration to (1) reveal those aspects of data that cannot be identified easily by normal investigation and (2) characterize the profile of static petrophysical parameters of the reservoir. Obtained results show that gamma ray log has the capability of detecting the flow units' alterations while sonic and resistivity logs well demonstrate the high porosity and permeability zones respectively.
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