Full Seismic Waveform Modelling and Inversion

By Andreas Fichtner. 2011

550 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Geophysics

View Paper: https://www.semanticscholar.org/paper/561152b80d47286b330e7d03b7f639054d3178c7

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Citations in the corpus

Hessian kernels of seismic data functionals based upon adjoint techniques (2011, methodology): “It may as well be used for extremal bounds analysis (Meju & Sakkas 2007; Meju 2009; Fichtner 2010), for the determination of optimal step lengths in gradient-based optimization, as a tool to assess second-order effects on seismic data functionals including finite-frequency C© 2011 The Authors, GJI,…”
A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems Part I: The Linearized Case, with Application to Global Seismic Inversion (2013, unknown): “With the rapid advances in observational capabilities, exponential growth in supercomputing, and maturation of forward seismic wave propagation solvers, there is great interest in solving the global seismic inverse problem governed by the full acoustic or elastic wave equations [19,37].”
Forward and adjoint simulations of seismic wave propagation on fully unstructured hexahedral meshes (2011, methodology): “D initial models (e.g. Akçelik et al. 2002, 2003; Askan et al. 2007; Chen et al. 2007; Fichtner et al. 2009b; Fichtner 2010), and utilizing as much information contained in seismograms as possible (e.g. Maggi et al. 2009; Valentine & Woodhouse 2010).”
Multiscale adjoint waveform tomography for surface and body waves (2015, methodology): “…as an extension to our previous paper (Yuan and Simons, 2014), in which we introduced a multiresolution technique to adjoint-based seismic tomography (e.g., Fichtner, 2011; Luo et al., 2014), but which excluded SWs (but we included all reflected, refracted, transmitted BW phases, and multiples).”
Fast randomized full-waveform inversion with compressive sensing (2012, methodology): “In that sense, our method is somewhat reminiscent of “gradient preconditioning” (see e.g. Fichtner, 2011) via smoothing but it differs because we leverage curveletdomain sparsity promotion, which preserves wavefront-like features, removes source crosstalk, and does not need model-specific…”
Seismic imaging: From classical to adjoint tomography (2012, methodology): “Applications of adjoint methods to seismological al to adjoint tomography, Tectonophysics (2012), http://dx.doi.org/ problems have been similarly derived by Fichtner et al. (2006a,b); Fichtner (2010).”
Resolution analysis in full waveform inversion (2011, background): “…the integral of the model parameter mi over a specific region Gδ⊂G, that is, ∫ Gδ mi (x) d3x, while increasing the misfit to χ (m̃) + δχ , is given by (Fichtner 2010) mextrj (x) = m̃ j (x) − λ ∫ Gδ H−1i j (x, y) d 3y with λ = ±(2δχ )1/2 [∫ Gδ ∫ Gδ H−1i i (x, y) d 3x d3y ]−1/2 (6) and no…”