Finite-Frequency Inversion of Cross-Correlation Amplitudes for Ambient Noise Source Directivity Estimation

Arjun Datta, Shravan Hanasoge, Jeroen Goudswaard

Research output: Contribution to journalArticle

Abstract

We present a new method for determining the azimuthal variation of ambient noise sources, which combines the computational speed and simplicity of traditional approaches with the rigor of waveform-inversion-based approaches to noise source estimation. This method is based on a previously developed theoretical framework of sensitivity kernels for cross-correlation amplitudes. It performs a tomographic inversion for ambient noise sources on the Earth's surface and is suitable for small- (local-) scale studies. We apply the method to passive seismic data acquired in an exploration context and account for azimuth-dependent uncertainties in observed cross-correlation amplitudes. Our inversion results correlate well with the azimuthal distribution of noise sources suggested by signal-to-noise ratio analysis of noise cross-correlation functions.

Original languageEnglish (US)
JournalJournal of Geophysical Research: Solid Earth
DOIs
StatePublished - Jan 1 2019

Fingerprint

ambient noise
directivity
cross correlation
Signal to noise ratio
Earth (planet)
inversions
signal-to-noise ratio
azimuth
seismic data
Earth surface
waveforms
signal to noise ratios
inversion
method
Uncertainty
sensitivity

Keywords

  • ambient seismic noise
  • cross-correlation amplitude
  • finite-frequency kernels
  • noise directivity
  • waveform inversion

ASJC Scopus subject areas

  • Geophysics
  • Geochemistry and Petrology
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science

Cite this

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abstract = "We present a new method for determining the azimuthal variation of ambient noise sources, which combines the computational speed and simplicity of traditional approaches with the rigor of waveform-inversion-based approaches to noise source estimation. This method is based on a previously developed theoretical framework of sensitivity kernels for cross-correlation amplitudes. It performs a tomographic inversion for ambient noise sources on the Earth's surface and is suitable for small- (local-) scale studies. We apply the method to passive seismic data acquired in an exploration context and account for azimuth-dependent uncertainties in observed cross-correlation amplitudes. Our inversion results correlate well with the azimuthal distribution of noise sources suggested by signal-to-noise ratio analysis of noise cross-correlation functions.",
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AU - Hanasoge, Shravan

AU - Goudswaard, Jeroen

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N2 - We present a new method for determining the azimuthal variation of ambient noise sources, which combines the computational speed and simplicity of traditional approaches with the rigor of waveform-inversion-based approaches to noise source estimation. This method is based on a previously developed theoretical framework of sensitivity kernels for cross-correlation amplitudes. It performs a tomographic inversion for ambient noise sources on the Earth's surface and is suitable for small- (local-) scale studies. We apply the method to passive seismic data acquired in an exploration context and account for azimuth-dependent uncertainties in observed cross-correlation amplitudes. Our inversion results correlate well with the azimuthal distribution of noise sources suggested by signal-to-noise ratio analysis of noise cross-correlation functions.

AB - We present a new method for determining the azimuthal variation of ambient noise sources, which combines the computational speed and simplicity of traditional approaches with the rigor of waveform-inversion-based approaches to noise source estimation. This method is based on a previously developed theoretical framework of sensitivity kernels for cross-correlation amplitudes. It performs a tomographic inversion for ambient noise sources on the Earth's surface and is suitable for small- (local-) scale studies. We apply the method to passive seismic data acquired in an exploration context and account for azimuth-dependent uncertainties in observed cross-correlation amplitudes. Our inversion results correlate well with the azimuthal distribution of noise sources suggested by signal-to-noise ratio analysis of noise cross-correlation functions.

KW - ambient seismic noise

KW - cross-correlation amplitude

KW - finite-frequency kernels

KW - noise directivity

KW - waveform inversion

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