Surface wave dispersion inversion using an energy likelihood function

Autor: Xin Zhang, York Zheng, Andrew Curtis

Publikováno v: Zhang, X, Zheng, Y & Curtis, A 2022, ' Surface wave dispersion inversion using an energy likelihood function ', Geophysical Journal International . https://doi.org/10.1093/gji/ggac331/6674206

SUMMARY Seismic surface wave dispersion inversion is used widely to study the subsurface structure of the Earth. The dispersion property is usually measured by using frequency–phase velocity (f–c) analysis of data recorded on a local array of rec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c4c0b0d5fa8e52805da0a4edb650d2d
https://doi.org/10.1093/gji/ggac331

3D Bayesian Variational Full Waveform Inversion

Autor: Xin Zhang, Angus Lomas, Muhong Zhou, York Zheng, Andrew Curtis

SUMMARYSeismic full-waveform inversion (FWI) provides high resolution images of the subsurface by exploiting information in the recorded seismic waveforms. This is achieved by solving a highly non-linear and non-unique inverse problem. Bayesian infer

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55e7d8e7779506713df09dab868de876
http://arxiv.org/abs/2210.03613

3D Variational Full-Waveform Inversion

Autor: Xin Zhang, Muhong Zhou, Angus Lomas, York Zheng, Andrew Curtis

Seismic full-waveform inversion (FWI) produces high resolution images of the subsurface by exploiting information in full seismic waveforms, and has been applied at global, regional and industrial spatial scales. FWI is traditionally solved by using

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::02378f737de3fedff8ec586b45b14fea
https://doi.org/10.5194/egusphere-egu22-8319