Velocity estimation via registration-guided least-squares inversion
Name
Baek-2013-Velocity estimation.pdf
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1.24 MB
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Adobe PDF
Checksum (MD5)
ee10a41394078a375018b776b864a6e3
Author(s)
Baek, Hyoungsu
Calandra, Henri
Demanet, Laurent
Date Issued
February 2014
Journal
Geophysics
Publisher
Society of Exploration Geophysicists
Citation
Baek, Hyoungsu, Henri Calandra, and Laurent Demanet. “Velocity Estimation via Registration-Guided Least-Squares Inversion.” Geophysics 79, no. 2 (March 2014): R79–R89. © 2014 Society of Exploration Geophysicists
Version
Final published version
Abstract
Least-squares (LS) acoustic-waveform inversion often suffers from a very narrow basin of attraction near the global minimum. To mitigate this problem, we evaluated an iterative inversion scheme in which the notion of proximity of two traces is not the usual LS distance, but instead it involves registration as in image processing. Observed data were matched to predicted waveforms via piecewise-polynomial warpings, obtained by solving a nonconvex optimization problem in a multiscale fashion from low to high frequencies. This multiscale process required defining low-frequency augmented signals to seed the frequency sweep at zero frequency. Custom adjoint sources were then defined from the warped waveforms. The new method, referred to as registration-guided least-squares, was successfully applied to a few scenarios of model velocity estimation in the transmission setting. We determined that the new method can converge to the correct model in situations in which conventional LS inversion suffers from cycle skipping and converges to a spurious model.
MIT Department
Massachusetts Institute of Technology. Department of Mathematics
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1190/GEO2013-0146.1
