Finite‐difference solution of the eikonal equation using an efficient, first‐arrival, wavefront tracking scheme

Geophysics ◽  
1994 ◽  
Vol 59 (4) ◽  
pp. 632-643 ◽  
Author(s):  
Shunhua Cao ◽  
Stewart Greenhalgh

First‐break traveltimes can be accurately computed by the finite‐difference solution of the eikonal equation using a new corner‐node discretization scheme. It offers accuracy advantages over the traditional cell‐centered node scheme. A substantial efficiency improvement is achieved by the incorporation of a wavefront tracking algorithm based on the construction of a minimum traveltime tree. For the traditional discretization scheme, an accurate average value for the local squared slowness is found to be crucial in stabilizing the numerical scheme for models with large slowness contrasts. An improved method based on the traditional discretization scheme can be used to calculate traveltimes in arbitrarily varying velocity models, but the method based on the corner‐node discretization scheme provides a much better solution.

Geophysics ◽  
2000 ◽  
Vol 65 (2) ◽  
pp. 682-682
Author(s):  
Fuhao Qin

The Sethian and Popovici paper “3-D traveltime computation using the fast marching method” that appeared in Geophysics, Vol. 64, 516–523, discussed a method to solve the eikonal equation for first arrival traveltimes which was called the “fast marching” method. The method, as the authors demonstrated, is very fast and stable. However, their method is very similar to the method discussed by F. Qin et al. (1992), entitled “Finite difference solution of the eikonal equation along expanding wavefronts,” Geophysics, Vol. 57, 478–487. F. Qin et al. first proposed the “expanding wavefront” method for solving eikonal equation in the 60th Ann. Internat. Mtg. of the SEG in 1990.


Geophysics ◽  
2001 ◽  
Vol 66 (3) ◽  
pp. 883-889 ◽  
Author(s):  
Paul Sava ◽  
Sergey Fomel

Traveltime computation is widely used in seismic modeling, imaging, and velocity analysis. The two most commonly used methods are ray tracing and numerical solutions to the eikonal equation. Eikonal solvers are fast and robust but are limited to computing only the first‐arrival traveltimes. Ray tracing can compute multiple arrivals but lacks the robustness of eikonal solvers. We propose a robust and complete method of traveltime computation. It is based on a system of partial differential equations, which is equivalent to the eikonal equation but formulated in the ray‐coordinates system. We use a first‐order discretization scheme that is interpreted very simply in terms of the Huygens’s principle. Our explicit finite‐difference solution to the eikonal equation solved in the ray‐coordinates system delivers both computational speed and stability since we use more than one point on the current wavefront at every time step. The finite‐difference method has proven to be a robust alternative to conventional ray tracing, while being faster and having a better ability to handle rough velocity media and penetrate shadow zones.


Geophysics ◽  
1999 ◽  
Vol 64 (3) ◽  
pp. 992-992

The domain of applicability of the expressions derived in this paper is stated incorrectly. The second‐last sentence of the section “Derivation of the Field Equations” should read “Using the numerical techniques discussed by Pohanka for circumventing this problem, an expression applicable everywhere in space can be obtained.” The following sentence is incorrect and should be deleted. I thank Dr. Marion Ivan for point this error out to me. After acceptance of the paper, an article covering substantially the same material, though with a somewhat different point of view, appeared. The article is: Pohanka, V., 1998, Optimum expression for computation of the gravity field of a polyhedral body with linearly increasing density: Geophysical Prospecting, 46, 391–404. Were I aware of Dr. Pohanka’s paper, it would of course have been referenced in mine. To: “Finite‐difference solution of the eikonal equation using an efficient, first‐arrival, wavefront tracking scheme” S. Cao and S. Greenhalgh (Geophysics, 59, 635) Equation 8a is in error. The parenthetical expressions on the left should be squared to make it dimensionally correct.


Geophysics ◽  
1992 ◽  
Vol 57 (3) ◽  
pp. 478-487 ◽  
Author(s):  
Fuhao Qin ◽  
Yi Luo ◽  
Kim B. Olsen ◽  
Wenying Cai ◽  
Gerard T. Schuster

We show that a scheme to solve the 2-D eikonal equation by a finite‐difference method can violate causality for moderate to large velocity contrasts [Formula: see text]. As an alternative, we present a finite‐difference scheme in which the solution region progresses outward from an “expanding wavefront” rather than an “expanding square,” and therefore honors causality. Our method appears to be stable and reasonably accurate for a variety of velocity models with moderate to large velocity contrasts. The penalty is a large increase in computational cost and programming effort.


Geophysics ◽  
2013 ◽  
Vol 78 (4) ◽  
pp. S211-S219 ◽  
Author(s):  
Siwei Li ◽  
Sergey Fomel

The computational efficiency of Kirchhoff-type migration can be enhanced by using accurate traveltime interpolation algorithms. We addressed the problem of interpolating between a sparse source sampling by using the derivative of traveltime with respect to the source location. We adopted a first-order partial differential equation that originates from differentiating the eikonal equation to compute the traveltime source derivatives efficiently and conveniently. Unlike methods that rely on finite-difference estimations, the accuracy of the eikonal-based derivative did not depend on input source sampling. For smooth velocity models, the first-order traveltime source derivatives enabled a cubic Hermite traveltime interpolation that took into consideration the curvatures of local wavefronts and can be straightforwardly incorporated into Kirchhoff antialiasing schemes. We provided an implementation of the proposed method to first-arrival traveltimes by modifying the fast-marching eikonal solver. Several simple synthetic models and a semirecursive Kirchhoff migration of the Marmousi model demonstrated the applicability of the proposed method.


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