Fluctuations of correlations and Green's function reconstruction: role of scattering
Eric Larose (LGIT), Arnaud Derode (LOA), Philippe Roux (LGIT), Michel, Campillo (LGIT)

TL;DR
This paper models the fluctuations in seismic and acoustic correlation-based Green's function reconstructions, emphasizing the impact of scattering, absorption, and wavefield non-stationarity through theoretical and numerical analysis.
Contribution
It introduces a heuristic model for correlation fluctuations in non-stationary, scattering media, supported by theoretical derivations and simulations, to improve passive imaging understanding.
Findings
Fluctuation levels decrease with longer diffuse wave durations and higher intensities.
Absorption increases fluctuation levels but is accurately captured by correlation.
Strong multiple scattering causes discrepancies in the simple fluctuation model.
Abstract
Correlations of ambient seismic or acoustic vibrations are now widely used to reconstruct the impulse response between two passive receivers as if a source was placed at one of them. This provides the opportunity to do imaging without a source, or \textsl{passive imaging}. Applications include terrestrial and solar seismology, underwater acoustics, and structural health monitoring, to cite only a few. Nevertheless, for a given set of data, correlations do not only yield the Green's function between the sensors. They also contain residual fluctuations that result from an imperfect time or source averaging that might eventually blur the images. In this article, we propose a heuristic model to describe the level of fluctuations of the correlations in the case of non-stationary wavefields, and more particularly in the case of scattering media. The work includes theoretical derivations and…
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