Time-domain least-squares RTM with sparsity promotion on field data
| Title | Time-domain least-squares RTM with sparsity promotion on field data |
| Publication Type | Presentation |
| Year of Publication | 2016 |
| Authors | Philipp A. Witte, Felix J. Herrmann |
| Keywords | Presentation, SINBAD, SINBADFALL2016, SLIM |
| Abstract | Least squares reverse time migration (LSRTM) is an inversion based imaging algorithm which can surpress acquisition related artifacts and provides images with increased frequency content, decreased noise level and balanced amplitudes. In this work demonstrate our time-domain LSRTM workflow using various pre-conditioners, source-subsampling and sparsity promotion and show its application to the 2D Machar field data set. |
| URL | https://slim.gatech.edu/Publications/Public/Conferences/SINBAD/2016/Fall/witte2016SINBADFtdl/witte2016SINBADFtdl.pdf |
| URL2 | |
| Citation Key | witte2016SINBADFtdl |