Salt Interpretation Enabled by Reverse Time Migration

Buur, J.; Keating, John M.; Kuehnel, T.

doi:10.3997/2214-4609.201401507

Cited by 1 publication

(2 citation statements)

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“…; Dablain ). The FD methods are efficient in calculation since the methods need less memory and are easy to be implemented and hence are widely used in seismic forward problems and reverse‐time migration (McMechan ; Etgen and O'Brien ; Bansal and Sen ; Buur and T. Kuhnel ; Zhang, Zhang and Zhang ; Guan et al . ; Yang, Tong and Deng ).…”

Section: Introductionmentioning

confidence: 99%

“…Finite-difference (FD) methods are usually preferred over other numerical methods for seismic modelling and the need for higher order finite-difference operators has long been recognized (Kelley et al 1976;Dablain 1986). The FD methods are efficient in calculation since the methods need less memory and are easy to be implemented and hence are widely used in seismic forward problems and reverse-time migration (McMechan 1989;Etgen and O'Brien 2007;Bansal and Sen 2008;Buur and T. Kuhnel 2008;Zhang, Zhang and Zhang 2011;Guan et al 2011;Yang, Tong and Deng 2012). Recent works show that this method can be greatly accelerated using graphics processing unit clusters (Abdelkhalek et al 2012;Liu et al 2012).…”

Section: Introductionmentioning

confidence: 99%

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Determining finite difference weights for the acoustic wave equation by a new dispersion‐relationship‐preserving method

Liang

Wang

Yang

2014

Geophysical Prospecting

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Numerical simulation of the acoustic wave equation is widely used to theoretically synthesize seismograms and constitutes the basis of reverse‐time migration. With finite‐difference methods, the discretization of temporal and spatial derivatives in wave equations introduces numerical grid dispersion. To reduce the grid dispersion effect, we propose to satisfy the dispersion relation for a number of uniformly distributed wavenumber points within a wavenumber range with the upper limit determined by the maximum source frequency, the grid spacing and the wave velocity. This new dispersion‐relationship‐preserving method relatively uniformly reduces the numerical dispersion over a large‐frequency range. Dispersion analysis and seismic numerical simulations demonstrate the effectiveness of the proposed method.

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