Optimal rotated staggered-grid finite-difference schemes for elastic wave modeling in TTI media
Yang, Lei; Yan, Hongyong; Liu, Hong. 2015 Optimal rotated staggered-grid finite-difference schemes for elastic wave modeling in TTI media. Journal of Applied Geophysics, 122. 40-52. 10.1016/j.jappgeo.2015.08.007
Full text not available from this repository. (Request a copy)Abstract/Summary
The rotated staggered-grid finite-difference (RSFD) is an effective approach for numerical modeling to study the wavefield characteristics in tilted transversely isotropic (TTI) media. But it surfaces from serious numerical dispersion, which directly affects the modeling accuracy. In this paper, we propose two different optimal RSFD schemes based on the sampling approximation (SA) method and the least-squares (LS) method respectively to overcome this problem. We first briefly introduce the RSFD theory, based on which we respectively derive the SA-based RSFD scheme and the LS-based RSFD scheme. Then different forms of analysis are used to compare the SA-based RSFD scheme and the LS-based RSFD scheme with the conventional RSFD scheme, which is based on the Taylor-series expansion (TE) method. The contrast in numerical accuracy analysis verifies the greater accuracy of the two proposed optimal schemes, and indicates that these schemes can effectively widen the wavenumber range with great accuracy compared with the TE-based RSFD scheme. Further comparisons between these two optimal schemes show that at small wavenumbers, the SA-based RSFD scheme performs better, while at large wavenumbers, the LS-based RSFD scheme leads to a smaller error. Finally, the modeling results demonstrate that for the same operator length, the SA-based RSFD scheme and the LS-based RSFD scheme can achieve greater accuracy than the TE-based RSFD scheme, while for the same accuracy, the optimal schemes can adopt shorter difference operators to save computing time.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | 10.1016/j.jappgeo.2015.08.007 |
ISSN: | 09269851 |
Date made live: | 08 Mar 2016 09:43 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/513198 |
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