Multiscale and layer-stripping wave-equation dispersion inversion of Rayleigh waves
Type
Conference PaperAuthors
Liu, Zhaolun
Huang, Lianjie
KAUST Department
Earth Science and Engineering ProgramPhysical Science and Engineering (PSE) Division
Date
2018-08-27Online Publication Date
2018-08-27Print Publication Date
2018-08-27Permanent link to this record
http://hdl.handle.net/10754/631484
Metadata
Show full item recordAbstract
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.Citation
Liu Z, Huang L (2018) Multiscale and layer-stripping wave-equation dispersion inversion of Rayleigh waves. SEG Technical Program Expanded Abstracts 2018. Available: http://dx.doi.org/10.1190/segam2018-2997500.1.Sponsors
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).Publisher
Society of Exploration GeophysicistsConference/Event name
88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018Additional Links
https://library.seg.org/doi/10.1190/segam2018-2997500.1ae974a485f413a2113503eed53cd6c53
10.1190/segam2018-2997500.1