A numerical scheme based on the Taylor expansion and Lie product formula for the second-order acoustic wave equation and its application in seismic migration

被引:0
作者
Araujo, Edvaldo S. [1 ,3 ]
Pestana, Reynam C. [1 ,2 ]
机构
[1] Fed Univ Bahia UFBA IF DFTMA, Ctr Res Geophys & Geol CPGG, Rua Barao Geremoabo, Salvador, BA, Brazil
[2] Fed Univ Bahia UFBA IF DFTMA, Natl Inst Petr Geophys INCT GP, Salvador, BA, Brazil
[3] Fed Univ Bahia UFBA IF DFTMA, Ctr Res Geophys & Geol, Rua Barao Geremoabo, BR-40170290 Salvador, BA, Brazil
关键词
lie product formula; seismic modeling; finite difference; taylor expansion; reverse time migration; second-order wave equation; least-squares reverse time migration; TIME;
D O I
10.1111/1365-2478.13481
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
We have developed a numerical scheme for the second-order acoustic wave equation based on the Lie product formula and Taylor-series expansion. The scheme has been derived from the analytical solution of the wave equation and in the approximation of the time derivative for a wavefield. Through these two equations, we obtained the first-order differential equation in time, where the time evolution operator of the analytic solution of this differential equation is written as a product of exponential matrices. The new numerical solution using a Lie product formula may be combined with Taylor-series, Chebyshev, Hermite and Legendre polynomial expansion or any other expansion for the cosine function. We use the proposed scheme combined with the second- or fourth-order Taylor approximations to propagate the wavefields in a recursive procedure, in a stable manner, accurately and efficiently with even larger time steps than the conventional finite-difference method. Moreover, our numerical scheme has provided results with the same quality as the rapid expansion method but requiring fewer computations of the Laplacian operator per time step. The numerical results have shown that the proposed scheme is efficient and accurate in seismic modelling, reverse time migration and least-squares reverse time migration.
引用
收藏
页码:1745 / 1763
页数:19
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