2011
DOI: 10.1190/geo2010-0188.1
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Shear wave imaging from traffic noise using seismic interferometry by cross-coherence

Abstract: We apply the cross-coherence method to the seismic interferometry of traffic noise, which originates from roads and railways, to retrieve both body waves and surface-waves. Our preferred algorithm in the presence of highly variable and strong additive random noise uses cross-coherence, which uses normalization by the spectral amplitude of each of the traces, rather than crosscorrelation or deconvolution. This normalization suppresses the influence of additive noise and overcomes problems resulting from amplitu… Show more

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Cited by 257 publications
(138 citation statements)
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“…Nakata et al (2011) show that S-wave reflections could be retrieved from the traffic noise using SI by crosscoherence. The passive data were recorded in an area with heavy traffic.…”
Section: Discussionmentioning
confidence: 99%
“…Nakata et al (2011) show that S-wave reflections could be retrieved from the traffic noise using SI by crosscoherence. The passive data were recorded in an area with heavy traffic.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, cross-coherence is also more numerically stable because, when the denominator is small, the numerator is also small. Nakata et al (2011) provide a detailed analysis of the properties of cross-coherence SI. Next, integrating both sides of equations (8) and (9) along…”
Section: Sources With the Same Signalmentioning
confidence: 99%
“…If |S| 2 is unknown, deconvolution SI (Vasconcelos and Snieder 2008a) or cross-coherence SI (Nakata et al 2011) can be used, and they are defined in the frequency domain as…”
Section: Sources With the Same Signalmentioning
confidence: 99%
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“…ANSI has been applied by various authors at exploration scale to retrieve reflection images (e.g., Draganov et al, 2007Draganov et al, , 2009Draganov et al, , 2013Nakata et al, 2011;Xu et al, 2012). Because no active sources are deployed in ANSI, time-lapse application of this technique could allow cost-effective monitoring of reservoirs such as in the case of CO 2 storage.…”
Section: Introductionmentioning
confidence: 99%