Coda Wave Interferometry for Estimating Nonlinear Behavior in Seismic Velocity

By Roel Snieder, A. Grêt, H. Douma, John A. Scales. Science, 2002

609 citations recorded by the source corpus.

Subfields: Geophysics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/638282fae561c1b44c25e676d7bb56398976a70a

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Citations in the corpus

Tutorial on seismic interferometry: Part 2 — Underlying theory and new advances (2010, methodology): “Sens-Schönfelder and Wegler 2006 and Brenguier et al. 2008b exploit the stability properties by applying coda wave interferometry Snieder et al., 2002 to Green’s functions obtained by crosscorrelating noise observations at different seismometers on a volcano.”
Seismic interferometry-turning noise into signal (2006, methodology): “Snieder et al. (2002) used the phrase coda wave interferometry for the interferometric measurement of temporal changes in the medium from strongly scattered waves.”
Thermal Cracking in Westerly Granite Monitored Using Direct Wave Velocity, Coda Wave Interferometry, and Acoustic Emissions (2018, methodology): “Coda Wave Interferometry (CWI) CWI considers an ultrasonic wave that becomes scattered and reflected multiple times by the boundaries of, or the heterogeneities within a medium (Snieder et al., 2002).”
Damage detection in concrete using coda wave interferometry (2011, methodology): “It has been known that the later arrival signals (the so-called coda waves) in a diffuse acoustic/seismic signal carry rich information about the medium and effort has been made to develop techniques to systematically extract useful information from diffuse coda waves for the last several decades [5”
Imaging preeruptive and coeruptive structural and mechanical changes of a volcano with ambient seismic noise (2013, methodology): “This feature led to the development of the coda-wave interferometry (CWI) technique [Poupinet et al., 1984; Roberts, 1991; Roberts et al., 1992; Snieder et al., 2002; Snieder, 2006], which can detect small velocity changes in a heterogeneous medium.”
The Theory of Coda Wave Interferometry (2006, methodology): “…has been used to estimate velocity changes in fault zones [Poupinet et al., 1984], in volcanoes [Ratdomopurbo and Poupinet, 1995; Matsumoto et al., 2001] , in a mining environment [Grêt et al., 2004] , and in ultrasound experiments [Roberts et al, 1992; Snieder et al., 2002; Grêt et al., 2005] .”
Interferometric/daylight seismic imaging (2004, methodology): “In this case, statistical analysis should be used (e.g. Goodman 1985; Stover 1995) to characterize both the model and imaging formulae.”
Time‐lapse monitoring of rock properties with coda wave interferometry (2006, methodology): “scattered waves by a cross correlation in the time domain [Snieder et al., 2002].”
Ultrasonic waves for materials evaluation in fatigue, thermal and corrosion damage: A review (2019, neutral): “The effects of temperature variation on ultrasound were considered in [76] [77] and it has been demonstrated that the main effect of temperature variation is to lengthen or compress the wave signal and the secondary effect is to distort its shape.”
Emergence of broadband Rayleigh waves from correlations of the ambient seismic noise (2004, positive): “…by interpretations of the envelopes of seismograms based on the radiative transfer theory [e.g., Abubakirov and Gusev , 1990; Hoshiba , 1991; Ryzhik et al. , 1996; Sato and Fehler , 1998; Margerin et al. , 1999] or by the coda-wave interferometry [e.g., Cowan et al. , 2002; Snieder et al. , 2002].”