FENG Hai-Xin,
YAN Jun,
LIU Hong et al
.2017.Optimized pseudo-analytical method for decoupled elastic wave equations.Chinese Journal Of Geophysics,60(9): 3555-3573,doi: 10.6038/cjg20170922
Optimized pseudo-analytical method for decoupled elastic wave equations
FENG Hai-Xin1,2, YAN Jun3, LIU Hong1,2, SUN Jun4, WANG Zhi-Yang1
1. Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China; 2. University of Chinese Academy of Sciences, Beijing 100049, China; 3. ETH, Zurich 8092, Switzerland; 4. Tangshan College, Hebei Tangshan 063020, China
Abstract:A number of numerical methods have been used to solve seismic wave equations in various media. Among them, the most commonly used is the Finite Difference (FD) method which has advantages of easy implementation and high efficiency. However, it suffers from numerical dispersion and conditionally stable problems. Compared with the FD method, the spectral method has a high accuracy in space, providing a generally dispersion-free wavefield. The second-order time stepping scheme of the conventional pseudo-spectral method, however, may produce time stepping errors and instabilities at a larger time step. The pseudo-analytical method can be applied to solve these problems through using a pseudo-Laplacian operator with constant compensation velocity. While this method can handle mild velocity variations with several compensation velocities, it also causes significant errors in the case of high velocity variations. In this paper, we propose to simulate vector wavefileds and decompose them into pure wave models simultaneously by the optimized pseudo-analytical method based on the decoupled elastic wave equations. We approximate the normalized pseudo-Laplacian operator with two variable compensation velocities, one is applied to the P-wave model, the other is applied to the S-wave model, through low-rank decomposition. Simulation on 2-D synthetic models demonstrates that the proposed method has high accuracy both in time and space with a more relaxed stability condition compared with the conventional pseudo-spectral and pseudo-analytical methods.
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