CONCLUSIONS

Using decimated autocorrelations to compute the inverse wavelet at a coarser sampling interval and zero-filling the inverse wavelet to return to the original sampling interval is an effective method to sharpen a wavelet, thus increasing resolution and reducing computation cost. Doing lowpass filtering on the zero-filled inverse wavelet to remove its duplicate spectrum gives an even better decon result at the expense of increasing computation cost. It remains for further research how to extract the white reflectivity series from the data after wavelet deconvolution.