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High-resolution characterization of shallow aquifer by 2D viscoelastic full-waveform inversion of shallow seismic wavefield acquired at the Krauthausen test site

Gao, Lingli; Pan, Yudi; Rieder, Andreas ORCID iD icon 1; Bohlen, Thomas 2; Weijian, Mao
1 Institut für Angewandte und Numerische Mathematik (IANM), Karlsruher Institut für Technologie (KIT)
2 Geophysikalisches Institut (GPI), Karlsruher Institut für Technologie (KIT)

Abstract:

Full-waveform inversion (FWI) method has been proved as an effective tool for high-resolution imaging of the subsurface. We have investigated the potential of shallow seismic-wave 2D viscoelastic FWI as a method in high-resolution hydrogeological near-surface characterization. FWI is applied to two orthogonal profiles acquired at the Krauthausen natural laboratory (Germany). The multiparameter models of viscoelastic FWI (P-and S-wave velocities, attenuation of P- and S-waves, density) show pronounced lateral variations below the profiles. The groundwater table is located at around 2 m, where a sudden P-wave velocity increase occurs. An S-wave low velocity layer exists at the depth of 4-6 m with a high Poisson’s ratio value close to 0.5, which corresponds to a saturated sand layer know from previous studies.
A $K$-mean cluster analysis is used to correlate and integrate information contained in the inverted results. By considering the derived Poisson’s ratio, P-wave, and S-wave velocities by FWI, we can convert the complex relationship between the multivariate data into a lithological meaningful zonation of the survey region. By comparing the lithological units in the alluvial aquifer with the cone penetration tests clusters, the face maps provide valuable information about the subsurface heterogeneity and connectivity. ... mehr


Volltext §
DOI: 10.5445/IR/1000147889
Veröffentlicht am 20.06.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Geophysikalisches Institut (GPI)
Institut für Angewandte und Numerische Mathematik (IANM)
Sonderforschungsbereich 1173 (SFB 1173)
Publikationstyp Forschungsbericht/Preprint
Publikationsmonat/-jahr 06.2022
Sprache Englisch
Identifikator ISSN: 2365-662X
KITopen-ID: 1000147889
Verlag Karlsruher Institut für Technologie (KIT)
Umfang 30 S.
Serie CRC 1173 Preprint ; 2022/27
Projektinformation SFB 1173/2 (DFG, DFG KOORD, SFB 1173/2 2019)
Externe Relationen Siehe auch
Schlagwörter aquifer characterization, full-waveform inversion, Rayleigh waves
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