Phase-weighted slant stacking for surface wave dispersion measurement

Cheng, Feng; Xia, Jianghai; Zhang, Kai; Zhou, Changjiang; Ajo-Franklin, Jonathan B.

doi:10.1093/gji/ggab101

Title: Phase-weighted slant stacking for surface wave dispersion measurement

Journal Article · Mon Mar 15 00:00:00 EDT 2021 · Geophysical Journal International

DOI:https://doi.org/10.1093/gji/ggab101· OSTI ID:1776914

^[1]; Xia, Jianghai ^[2]; Zhang, Kai ^[3]; Zhou, Changjiang ^[2]; Ajo-Franklin, Jonathan B. ^[1]

Department of Earth, Environmental, and Planetary Sciences, Rice University, 6100 Main St., Houston, TX 77005, USA, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd., Berkeley, CA 94720, USA
School of Earth Sciences, Zhejiang University, 38 Zheda Rd., Hangzhou, Zhejiang 310027, China
School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China, Institute of Geophysical and Geochemical Exploration, Chinese Academy of Geological Sciences, Hebei 065000, China

SUMMARY Surface wave retrieval from ambient noise records using seismic interferometry techniques has been widely used for multiscale shear wave velocity (Vs) imaging. One key step during Vs imaging is the generation of dispersion spectra and the extraction of a reliable dispersion curve from the retrieved surface waves. However, the sparse array geometry usually affects the ability for high-frequency (>1 Hz) seismic signals’ acquisition. Dispersion measurements are degraded by array response due to sparse sampling and often present smeared dispersion spectra with sidelobe artefacts. Previous studies usually focus on interferograms’ domain (e.g. cross-correlation function) and attempt to enhance coherent signals before dispersion measurement. We propose an alternative technique to explicitly deblur dispersion spectra through use of a phase-weighted slant-stacking algorithm. Numerical examples demonstrate the strength of the proposed technique to attenuate array responses as well as incoherent noise. Three different field examples prove the flexibility and superiority of the proposed technique: the first data set consists of ambient noise records acquired using a nodal seismometer array; the second data set utilizes distributed acoustic sensing (DAS) and a marine fibre-optic cable to acquire a similar ambient noise data set; the last data set is a vibrator-based active-source surface wave data. The enhanced dispersion measurements provide cleaner and higher-resolution spectra without distortions which will assist both human interpreters as well as ML algorithms in efficiently picking curves for subsequent Vs inversion.

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Research Organization:: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Contributing Organization:: ALICE Collaboration

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1776914

Alternate ID(s):: OSTI ID: 1820600

Journal Information:: Geophysical Journal International, Journal Name: Geophysical Journal International Vol. 226 Journal Issue: 1; ISSN 0956-540X

Publisher:: Oxford University PressCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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