Comparison of time-domain SH waveform inversion strategies based on sequential low and bandpass filtered data for improved resolution in near-surface prospecting

Köhn, Daniel, Wilken, Dennis, De Nil, Denise, Wunderlich, Tina, Rabbel, Wolfgang, Werther, Lukas, Schmidt, Johannes, Zielhofer, Christoph and Linzen, Sven (2019) Comparison of time-domain SH waveform inversion strategies based on sequential low and bandpass filtered data for improved resolution in near-surface prospecting Journal of Applied Geophysics, 160 . pp. 69-83. DOI 10.1016/j.jappgeo.2018.11.001.

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Abstract

The full waveform inversion (FWI) of strongly dispersive Love wave data is a challenging task. Amplitude, phase and dispersion information not only depends on the density and shear modulus distribution in the subsurface, but also significantly on intrinsic damping. This is especially a problem in near surface data applications with complex underground structures and low Qs values. Therefore, the FWI of a dispersive Love wavefield demands an accurate initial visco-elastic model and careful data pre-processing. Another key ingredient of a successful time-domain FWI is the sequential inversion of frequency filtered data in order to mitigate the non-linearity of the inverse problem. Common FWI strategies are based solely on either low- or bandpass filtered data. In this study we develop a FWI workflow consisting of a combined low- and bandpass filter strategy to achieve an appropriate data fit of the low-frequency Love wave and high-frequency refracted SH-wavefield. The applicability of this FWI strategy and the importance of a visco-elastic medium description is demonstrated for SH field data from a transect over the Fossa Carolina, a silted medieval canal structure in southern Germany. The resolved canal shape and small scale structures in the inversion results are verified by an archaeological excavation.

Document Type: Article
Keywords: Full waveform Inversion, Love wave, Near surface, Archaeological prospection
Research affiliation: Kiel University > Kiel Marine Science
OceanRep > The Future Ocean - Cluster of Excellence
Kiel University
Refereed: Yes
DOI etc.: 10.1016/j.jappgeo.2018.11.001
ISSN: 0926-9851
Projects: Future Ocean
Date Deposited: 13 Aug 2019 09:26
Last Modified: 19 Aug 2019 12:59
URI: http://eprints.uni-kiel.de/id/eprint/47470

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