Seismic deconvolution revisited with curvelet frames
Title | Seismic deconvolution revisited with curvelet frames |
Publication Type | Conference |
Year of Publication | 2005 |
Authors | Gilles Hennenfent, R. Neelamani, Felix J. Herrmann |
Conference Name | EAGE Annual Conference Proceedings |
Month | 06 |
Keywords | EAGE, Presentation, SLIM |
Abstract | We propose an efficient iterative curvelet-regularized deconvolution algorithm that exploits continuity along reflectors in seismic images. Curvelets are a new multiscale transform that provides sparse representations for images (such as seismic images) that comprise smooth objects separated by piece-wise smooth discontinuities. Our technique combines conjugate gradient-based convolution operator inversion with noise regularization that is performed using non-linear curvelet coefficient shrinkage (thresholding). The shrinkage operation leverages the sparsity of curvelets representations. Simulations demonstrate that our algorithm provides improved resolution compared to the traditional Wiener-based deconvolution approach. |
URL | https://slim.gatech.edu/Publications/Public/Conferences/EAGE/2005/Hennenfent05EAGEsdr/Hennenfent05EAGEsdr.pdf |
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Citation Key | hennenfent2005EAGEsdr |