A multilayer level-set method for eikonal-based traveltime tomography

Fuente: arXiv
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Main Authors: Li, Wenbin, Hung, Ken K. T., Leung, Shingyu
Format: Preprint
Published: 2025
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author Li, Wenbin
Hung, Ken K. T.
Leung, Shingyu
author_facet Li, Wenbin
Hung, Ken K. T.
Leung, Shingyu
contents We present a novel multilayer level-set method (MLSM) for eikonal-based first-arrival traveltime tomography. Unlike classical level-set approaches that rely solely on the zero-level set, the MLSM represents multiple phases through a sequence of $i_n$-level sets ($n = 0, 1, 2, \cdots$). Near each $i_n$-level set, the function is designed to behave like a local signed-distance function, enabling a single level-set formulation to capture arbitrarily many interfaces and subregions. Within this Eulerian framework, first-arrival traveltimes are computed as viscosity solutions of the eikonal equation, and Fréchet derivatives of the misfit are obtained via the adjoint state method. To stabilize the inversion, we incorporate several regularization strategies, including multilayer reinitialization, arc-length penalization, and Sobolev smoothing of model parameters. In addition, we introduce an illumination-based error measure to assess reconstruction quality. Numerical experiments demonstrate that the proposed MLSM efficiently recovers complex discontinuous slowness models with multiple phases and interfaces.
format Preprint
id arxiv_https___arxiv_org_abs_2510_16413
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A multilayer level-set method for eikonal-based traveltime tomography
Li, Wenbin
Hung, Ken K. T.
Leung, Shingyu
Numerical Analysis
We present a novel multilayer level-set method (MLSM) for eikonal-based first-arrival traveltime tomography. Unlike classical level-set approaches that rely solely on the zero-level set, the MLSM represents multiple phases through a sequence of $i_n$-level sets ($n = 0, 1, 2, \cdots$). Near each $i_n$-level set, the function is designed to behave like a local signed-distance function, enabling a single level-set formulation to capture arbitrarily many interfaces and subregions. Within this Eulerian framework, first-arrival traveltimes are computed as viscosity solutions of the eikonal equation, and Fréchet derivatives of the misfit are obtained via the adjoint state method. To stabilize the inversion, we incorporate several regularization strategies, including multilayer reinitialization, arc-length penalization, and Sobolev smoothing of model parameters. In addition, we introduce an illumination-based error measure to assess reconstruction quality. Numerical experiments demonstrate that the proposed MLSM efficiently recovers complex discontinuous slowness models with multiple phases and interfaces.
title A multilayer level-set method for eikonal-based traveltime tomography
topic Numerical Analysis
url https://arxiv.org/abs/2510.16413