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Frequency-domain full-waveform inversion with updates based on nonlinear sensitivities
| Content Provider | Semantic Scholar |
|---|---|
| Author | Geng, Yu Pan, Wenyong Innanen, Kristopher A. |
| Copyright Year | 2017 |
| Abstract | Although full waveform inversion (FWI) is a highly nonlinear inverse problem, it is usually solved as a local optimization problem under a linear approximation, where small angle backscattered data (via the residuals) are treated linearly. Adding nonlinearity within each update may have important consequences for convergence rates and parameter accuracy. One approach is to include higherorder scattering terms into the sensitivities during the construction of the gradient, by varying not the current but the updated model at each iteration. By applying inverse scattering theory, this additional sensitivity term can be computed from the data residuals at the current iteration. A nonlinear frequency-domain FWI inversion scheme, with an inner and an outer loop, implementing this idea is presented here. A perturbation is inverted from the data residuals within the inner loop, and the descent direction based on the nonlinear sensitivity to update the model is computed involving this perturbation in the outer loop. We test this nonlinear FWI on acoustic single-parameter Marmousi synthetics. The inverted results vary depending on data frequency ranges and initial models, but we conclude that the nonlinear FWI has the capability to generate high resolution model estimates in both shallow and deep regions, and to converge rapidly, relative to a benchmark FWI approach involving the standard gradient. |
| Starting Page | 1330 |
| Ending Page | 1335 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| DOI | 10.1190/segam2017-17589086.1 |
| Alternate Webpage(s) | https://www.crewes.org/ForOurSponsors/ConferenceAbstracts/2017/SEG/Geng_SEG_2017.pdf |
| Alternate Webpage(s) | https://doi.org/10.1190/segam2017-17589086.1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
