| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6929418 | Journal of Computational Physics | 2016 | 16 Pages |
Abstract
In this paper we develop a Fast Marching algorithm for the factored eikonal equation, using both first and second order finite-difference schemes. Our algorithm follows the same lines as the original FM algorithm and requires the same computational effort. In addition, we show how to obtain sensitivities using this FM method and apply travel time tomography, formulated as an inverse factored eikonal equation. Numerical results in two and three dimensions show that our algorithm solves the factored eikonal equation efficiently, and demonstrate the achieved accuracy for computing the travel time. We also demonstrate a recovery of a 2D and 3D heterogeneous medium by travel time tomography using the eikonal equation for forward modeling and inversion by Gauss-Newton.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Eran Treister, Eldad Haber,
