Lift and relax for waveform inversion
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segam2020-3427933.1.pdf
Description
Published version
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8.57 MB
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Adobe PDF
Checksum (MD5)
4c466b6dccac688f92ad23116fbab367
Author(s) •
Fang, Zhilong
Demanet, Laurent
Date Issued
September 30, 2020
Journal
SEG Technical Program Expanded Abstracts 2020
Publisher
Society of Exploration Geophysicists
Citation
Zhilong Fang, Laurent Demanet; September 1, 2020. "Lift and relax for waveform inversion." Proceedings of the SEG Technical Program Expanded Abstracts 2020. SEG Technical Program Expanded Abstracts 2020. (pp. pp. 785-789). ASME.
Version
Final published version
Abstract
We present Lift and Relax for Waveform Inversion (LRWI), an approach that mitigates the cycle-skipping issue in full waveform inversion via a combination of two convexification techniques. The first technique (Lift) extends the set of variables in the optimization problem to products of those variables, arranged as a moment matrix. This algebraic idea is a celebrated way to replace a hard polynomial optimization problem by a semidefinite programming approximation. Concretely, both the model and the wavefield are lifted from vectors to rank-2 matrices. The second technique (Relax) invites to consider the wave equation, not as a hard constraint, but as a soft constraint to be satisfied only approximately – a technique known as wavefield reconstruction inversion (WRI). WRI weakens wave-equation constraints by introducing wave-equation misfits as a weighted penalty term in the objective function. The relaxed penalty formulation enables balancing the data and wave-equation misfits by tuning a penalty parameter. Together, “Lift” and “Relax” help reformulate FWI as a set of constraints on a rank-2 moment matrix in a higher dimensional space. Such a lifting strategy permits a good data and wave-equation fit throughout the inversion process, while leaving the numerical rank of the rank-2 moment matrix to be minimized down to one. Numerical examples indicate that the proposed rank-2 lifting approach with the wave-equation relaxation is capable of reconstructing geologically plausible subsurface models from poor initial models without stagnation at suboptimal models encountered by conventional FWI.
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DOI of Published Version
https://doi.org/10.1190/segam2020-3427933.1