1887

Abstract

Summary

Singular value decomposition (SVD) has proved to be a very effective tool for analysis of inverse problems. In this paper we present a methodology for iterative SVD in acoustic 2D full-waveform inversion (FWI). Using our approach, decomposition may be done for any complex 2D background velocity models of any size. As an example, we analyze two particular inversion scenarios using a synthetic model with complex near surface. We study the impact of surface-related multiples on reliability of near-surface velocity model reconstruction in acoustic frequency-domain FWI. We show that while using low frequencies, inversion scenarios without free-surface multiples may provide better resolution provided an optimal regularization parameter is chosen. Scenarios with surface-related multiples provide less well resolved results but are more stable with respect to noise and the choice of regularization.

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/content/papers/10.3997/2214-4609.20141410
2014-06-16
2024-04-19
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