Data driven Gradient Sampling for seismic inversion
| Title | Data driven Gradient Sampling for seismic inversion |
| Publication Type | Presentation |
| Year of Publication | 2017 |
| Authors | Mathias Louboutin, Felix J. Herrmann |
| Keywords | Presentation, SINBAD, SINBADFALL2017, SLIM |
| Abstract | We present in this work an extension of the Gradient Sampling algorithm presented at the last EAGE in Paris. We previously showed the potential of this algorithm playing with implicit time-shifts to represent the wavefield of a slightly perturbed velocity model. We introduce an extension where the weights of the Gradient Sampling algorithm are obtained with the solve of data-based quadratic subproblem instead of at random. The update direction is the a more accurate representation of the true Gradient Sampling update direction. |
| URL | https://slim.gatech.edu/Publications/Public/Conferences/SINBAD/2017/Fall/louboutin2017SINBADFddg/louboutin2017SINBADFddg.pdf |
| URL2 | |
| Citation Key | louboutin2017SINBADFddg |