Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ADMM-based multi-parameter wavefield reconstruction inversion in VTI
  acoustic media with TV regularization   Full waveform inversion (FWI) is a nonlinear waveform matching procedure,
which suffers from cycle skipping when the initial model is not
kinematically-accurate enough. To mitigate cycle skipping, wavefield
reconstruction inversion (WRI) extends the inversion search space by computing
wavefields with a relaxation of the wave equation in order to fit the data from
the first iteration. Then, the subsurface parameters are updated by minimizing
the source residuals the relaxation generated. Capitalizing on the
wave-equation bilinearity, performing wavefield reconstruction and parameter
estimation in alternating mode decomposes WRI into two linear subproblems,
which can solved efficiently with the alternating-direction method of
multiplier (ADMM), leading to the so-called IR-WRI. Moreover, ADMM provides a
suitable framework to implement bound constraints and different types of
regularizations and their mixture in IR-WRI. Here, IR-WRI is extended to
multiparameter reconstruction for VTI acoustic media. To achieve this goal, we
first propose different forms of bilinear VTI acoustic wave equation. We
develop more specifically IR-WRI for the one that relies on a parametrisation
involving vertical wavespeed and Thomsen's parameters delta and epsilon. With a
toy numerical example, we first show that the radiation patterns of the virtual
sources generate similar wavenumber filtering and parameter cross-talks in
classical FWI and IR-WRI. Bound constraints and TV regularization in IR-WRI
fully remove these undesired effects for an idealized piecewise constant
target. We show with a more realistic long-offset case study representative of
the North Sea that anisotropic IR-WRI successfully reconstruct the vertical
wavespeed starting from a laterally homogeneous model and update the
long-wavelengths of the starting epsilon model, while a smooth delta model is
used as a passive background model.

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The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
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The categories of this paper are: supr-con
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The categories of this paper are: hep-ex
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The categories of this paper are: adap-org
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The categories of this paper are: chao-dyn
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The categories of this paper are: stat
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The categories of this paper are: acc-phys
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The categories of this paper are: atom-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: plasm-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: nucl-th
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The categories of this paper are: ao-sci
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The categories of this paper are: physics
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The categories of this paper are: hep-lat