Abstract
Rayleigh-wave inversion could converge to a local minimum of its objective function for a complex subsurface model. We develop a multiscale strategy and a layer-stripping method to alleviate the local minimum problem of wave-equation dispersion inversion of Rayleigh waves, and improve the inversion robustness. We first invert the high-frequency and near-offset data for the shallow S-velocity model, and gradually incorporate the lower-frequency components of data with longer offsets to reconstruct the deeper regions of the model. We demonstrate the efficacy of this multiscale and layer-stripping method using synthetic and field Rayleigh-wave data.
| Original language | English (US) |
|---|---|
| Title of host publication | SEG Technical Program Expanded Abstracts 2018 |
| Publisher | Society of Exploration Geophysicists |
| Pages | 2536-2540 |
| Number of pages | 5 |
| DOIs | |
| State | Published - Aug 27 2018 |
Bibliographical note
KAUST Repository Item: Exported on 2020-10-01Acknowledgements: This work was supported by U.S. Department of Energy through contract DE-AC52-06NA25396 to Los Alamos National Laboratory (LANL). Zhaolun Liu would like to thank King Abdullah University of Science and Technology (KAUST) for funding his graduate studies. The computation was performed using super-computers of LANL's Institutional Computing Program. Additional computational resources were made available through the KAUST Supercomputing Laboratory (KSL).