Pre-stack wavelet transform spectral broadening application

Marcílio Castro de Matos, Kurt J. Marfurt · 2015

Summary Removing the source wavelet to obtain a high resolution image of the underlying reflectivity has been the goal of seismic processing since the introduction of digital deconvolution some 60 years ago. Deconvolution implicitly estimates the seismic wavelet by assuming that is stationary within the analysis window. Seismic scattering and absorption results in a non-stationary source wavelet. In this work, we avoid this stationarity assumption and broaden the seismic spectrum by using the Continuous Wavelet Transform (CWT). Specifically, we create a higher resolution seismic trace guided by the CWT ridges detected along the scales. We illustrate the effectiveness of the proposed workflow on detecting hidden seismic events associated with acoustic impedance changes on a pre-stack seismic data volume.

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