Bootstrapping robust EPSI with coarsely sampled data
Title | Bootstrapping robust EPSI with coarsely sampled data |
Publication Type | Presentation |
Year of Publication | 2013 |
Authors | Tim T.Y. Lin, Felix J. Herrmann |
Keywords | Presentation, SINBAD, SINBADFALL2013, SLIM |
Abstract | The EPSI method of surface multiple removal directly inverts for the free-surface operator, i.e., the multiple-free Greens function of the subsurface seismic response. One peculiar feature of this approach is the theoretical independence of the spectrum of the free-surface operator from the spectrum of the observed data. The SRME approach requires coarsely sampled data to be low-pass filtered sufficiently in order to avoid aliasing in multiple contribution gathers, which in turn limits the temporal resolution of the demultipled result. Conversely, such limitations in temporal resolution do not directly apply to the inversion solution of EPSI. This property can in turn be exploited both to significantly lower the cost of EPSI and to mitigate the effect of under sampled data in a controlled way. |
URL | https://slim.gatech.edu/Publications/Public/Conferences/SINBAD/2013/Fall/lin2013SINBADbre/lin2013SINBADbre.pdf |
Citation Key | lin2013SINBADbre |