TY - JOUR
T1 - Surface-wave imaging of inversely dispersive media
T2 - Society of Exploration Geophysicists International Exposition and 87th Annual Meeting, SEG 2017
AU - Dou, S.
AU - Ajo-Franklin, J. B.
AU - Dafflon, B.
AU - Peterson, J.
AU - Ulrich, C.
AU - Dreger, D.
AU - Hubbard, S. S.
N1 - Publisher Copyright:
© 2017 SEG.
PY - 2017/8/17
Y1 - 2017/8/17
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85121851281&partnerID=8YFLogxK
U2 - 10.1190/segam2017-17795610.1
DO - 10.1190/segam2017-17795610.1
M3 - Conference article
AN - SCOPUS:85121851281
SN - 1052-3812
SP - 5192
EP - 5196
JO - SEG Technical Program Expanded Abstracts
JF - SEG Technical Program Expanded Abstracts
Y2 - 24 September 2017 through 29 September 2017
ER -