Abstract
Surface waves are effective in identifying inversely dispersive media, but because dispersion-curve retrieval is susceptible to ambiguities, commonly-used inversion methods often become inapplicable. Here we highlight a full-wavefield approach that uses dispersion spectra instead of dispersion curves to invert for shear-wave velocity (VS) structures. With a case study of permafrost imaging, we demonstrate that this method is able to achieve optimal data fits without requiring good starting models. This makes the spectrum-fitting inversion superior to waveform-fitting approaches when little prior knowledge is available. This study also takes advantage of particle swarm optimization (PSO), a derivative-free global search method that is suitable for but not yet widely used in solving nonlinear inverse problems in geophysics.
| Original language | English |
|---|---|
| Pages (from-to) | 5192-5196 |
| Number of pages | 5 |
| Journal | SEG Technical Program Expanded Abstracts |
| DOIs | |
| State | Published - Aug 17 2017 |
| Externally published | Yes |
| Event | Society of Exploration Geophysicists International Exposition and 87th Annual Meeting, SEG 2017 - Houston, United States Duration: Sep 24 2017 → Sep 29 2017 |