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 |
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Citation Key | louboutin2017SINBADFddg |