Facies Recognition Using Wavelet Based Fractal Analysis On Compressed Seismic Data

We present in this paper a method to analyze seismic data in the compressed domain which measures the changes in<br>the variance of the wavelet coefficients as a function of the scale of the transformation. After applying this method to<br>resistivity logs, acoustic impedance logs, and 3D seismic data around a Eocene, clastic reservoir, we show the wavelet<br>coefficients themselves contain relevant information about the subsurface that can be used for seismic based facies<br>classification without having to through the reconstruction process.