Surface related multiple prediction from incomplete data
| Title | Surface related multiple prediction from incomplete data |
| Publication Type | Conference |
| Year of Publication | 2007 |
| Authors | Felix J. Herrmann |
| Conference Name | EAGE Annual Conference Proceedings |
| Month | 06 |
| Keywords | EAGE, Presentation, SLIM |
| Abstract | Incomplete data, unknown source-receiver signatures and free-surface reflectivity represent challenges for a successful prediction and subsequent removal of multiples. In this paper, a new method will be represented that tackles these challenges by combining what we know about wavefield (de-)focussing, by weighted convolutions/correlations, and recently developed curvelet-based recovery by sparsity-promoting inversion (CRSI). With this combination, we are able to leverage recent insights from wave physics towards a nonlinear formulation for the multiple-prediction problem that works for incomplete data and without detailed knowledge on the surface effects. |
| URL | https://slim.gatech.edu/Publications/Public/Conferences/EAGE/2007/herrmann07EAGEsrm/herrmann07EAGEsrm.pdf |
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| Citation Key | herrmann2007EAGEsrm |