JOURNAL OF COMPUTATIONAL PHYSICS | 卷:276 |
A staggered-grid finite-difference scheme optimized in the time-space domain for modeling scalar-wave propagation in geophysical problems | |
Article | |
Tan, Sirui1  Huang, Lianjie2  | |
[1] Formerly Alamos Natl Lab, Geophys Grp, Los Alamos, NM 87545 USA | |
[2] Los Alamos Natl Lab, Geophys Grp, Los Alamos, NM 87545 USA | |
关键词: Dispersion error; Finite-difference scheme; Finite-difference stencil; Numerical modeling; Optimized scheme; Scalar wave; Wave propagation; | |
DOI : 10.1016/j.jcp.2014.07.044 | |
来源: Elsevier | |
【 摘 要 】
For modeling scalar-wave propagation in geophysical problems using finite-difference schemes, optimizing the coefficients of the finite-difference operators can reduce numerical dispersion. Most optimized finite-difference schemes for modeling seismic-wave propagation suppress only spatial but not temporal dispersion errors. We develop a novel optimized finite-difference scheme for numerical scalar-wave modeling to control dispersion errors not only in space but also in time. Our optimized scheme is based on a new stencil that contains a few more grid points than the standard stencil. We design an objective function for minimizing relative errors of phase velocities of waves propagating in all directions within a given range of wavenumbers. Dispersion analysis and numerical examples demonstrate that our optimized finite-difference scheme is computationally up to 2.5 times faster than the optimized schemes using the standard stencil to achieve the similar modeling accuracy for a given 2D or 3D problem. Compared with the high-order finite-difference scheme using the same new stencil, our optimized scheme reduces 50 percent of the computational cost to achieve the similar modeling accuracy. This new optimized finite-difference scheme is particularly useful for large-scale 3D scalar-wave modeling and inversion. Published by Elsevier Inc.
【 授权许可】
Free
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
10_1016_j_jcp_2014_07_044.pdf | 2074KB | download |