Spurious multiples in seismic interferometry of primaries

By Roel Snieder, Kees Wapenaar, K. Larner. 2006

280 citations recorded by the source corpus.

Subfields: Geophysics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/836e40bb339011f45b6314de62e7f041cb256119

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Geophysics

1. Roel Snieder
2. Kees Wapenaar
3. Nori Nakata
4. Evert C. Slob
5. Andrew Curtis
6. J. Neut
7. K. Larner
8. Kurang Mehta

In Ocean Engineering

1. Kees Wapenaar
2. Roel Snieder
3. Nori Nakata
4. Kurang Mehta
5. V. Graizer
6. Andrew Curtis
7. J. Neut
8. K. Larner

Citations in the corpus

• Internal multiple prediction and removal using marchenko autofocusing and seismic interferometry (2015, background): “The main contributions to the evaluation of such interferometric surface integrals come from neighborhoods of points of stationary phase of the integrand (Snieder et al., 2006).”
• Seismic interferometry by crosscorrelation and by multidimensional deconvolution: a systematic comparison (2010, methodology): “Moreover, Snieder et al. (2006b) show that even for very simple configurations it may lead to spurious multiples.”
• On establishing the accuracy of noise tomography travel‐time measurements in a realistic medium (2009, unknown): “Using a stationary-phase approximation, Snieder (2004) and Snieder et al. (2006) have also demonstrated that the property holds for a uniform-velocity medium with locally isotropic noise, and that equipartitioning of modal energy is not required.”
• Tutorial on seismic interferometry: Part 2 — Underlying theory and new advances (2010, methodology): “Like the 1D deconvolution method of Snieder et al. 2006a discussed above, this can be seen as a methodology that changes the boundary conditions of the system; it transforms the response of the subsurface, including the reflecting ocean bottom and water surface, into the response of a subsurface…”
• Near‐surface weakening in Japan after the 2011 Tohoku‐Oki earthquake (2011, methodology): “To measure shear-wave velocities, we use seismic interferometry, developed over the last 10 years (Claerbout, 1968; Trampert et al., 1993; Lobkis and Weaver, 2001; Roux and Fink, 2003; Schuster et al., 2004; Wapenaar, 2004; Bakulin and Calvert, 2006; Snieder et al., 2006) to determine the arrival ti”
• Interferometry by deconvolution. Part 1 -Theory for acoustic waves and numerical examples (2008, methodology): “In addition, stationary-phase evaluation of the integral in equation 10 for a specified model !such as used by Snieder et al., 2006a" is compromised by the presence of %G!rB,s"%2 in the denominator.”
• Shear wave imaging from traffic noise using seismic interferometry by cross-coherence (2011, methodology): “Green’s function extraction can be derived from normal modes (Lobkis and Weaver, 2001), representation theorems (Wapenaar, 2004; Wapenaar and Fokkema, 2006), principle of time reversal (Roux and Fink, 2003), and stationary phase analysis (Snieder et al., 2006).”
• Extraction of near-surface properties for a lossy layered medium using the propagator matrix (2007, methodology): “…et al. 2003; Kawakami & Oyunchimeg 2003; Schuster et al. 2004; Shapiro & Campillo 2004; Snieder 2004; Wapenaar 2004; Shapiro et al. 2005; Wapenaar et al. 2005; Snieder et al. 2006a) is a technique based on combining signals recorded at different sensors, to estimate the response between them.”
• Seismic interferometry, surface waves and source distribution (2008, background): “For example, Snieder et al. (2006) use a stationary phase approach to show how spurious multiples are introduced when attempting to recover reflected body waves using only surface sources.”