Resolution analysis in full waveform inversion

By Andreas Fichtner, Jeannot Trampert. 2011

206 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d212f25d8a621a2bdb5025408d41e555683f2b72

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In Geophysics

Citations in the corpus

On the use of sensitivity tests in seismic tomography (2016, methodology): “For example, Fichtner & Trampert (2011) develop a method for full waveform inversion problems, based on low-rank approximations of the Hessian operator that can determine the 3-”
Seismic envelope inversion and modulation signal model (2014, background): “…inversion has been developed to reduce the starting model dependence (Bunks et al., 1995; Pratt et al., 1996, 1998; Ravaut et al., 2004; Sirgue and Pratt, 2004; Plessix et al., 2010; Sirgue et al., 2010; Fichtner and Trampert, 2011; Vigh et al., 2011; Baeten et al., 2013; Brittan et al., 2013).”
Seismic imaging: From classical to adjoint tomography (2012, background): “Furthermore, the statistical description of the probabilistic model ensemble offers a more objective metric of model resolution than the standard resolution tests of a linear inversion (Fichtner and Trampert, 2011b; Sambridge and Mosegaard, 2002).”
Full Waveform Inversion and the Truncated Newton Method (2013, methodology): “A method for computing more realistic resolution measurements is proposed by Fichtner and Trampert [23].”
Physics‐Informed Neural Networks (PINNs) for Wave Propagation and Full Waveform Inversions (2021, background): “Particularly, in scenarios where the dominant wavelength of the seismic wave is greater than the length-scale of the target heterogeneities, FWIs can provide significantly better results than, for instance, travel-time tomography (RashtBehesht et al., 2020; Fichtner and Trampert, 2011; Marquering et”