Application of 2nd Generation Wavelets to Seismic Imaging

We study the sensitivity of seismic imaging to lossy data compression using a new generation of directional, nonseparable wavelets developed by Donoho et al [1, 3, 5, 6, 7], and compare these results to those obtained using a conventional biorthogonal wavelet compression technique. In our study we use two streams of minimally processed seismic data: the SEG-EAEG synthetic salt model and a field data set. Our objective is to show that features of the imaged data are much better preserved at compression ratios of 20:1 and higher with the newer technology. The advent of the Grid has emphasized the need for the improved compression and effective transmission of large data sets, such as seismic surveys, over the Internet. It is toward this purpose that this work is directed.

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