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首页> 外文期刊>Journal of geophysics and engineering >A hybrid absorbing boundary condition for frequency-domain finite-difference modelling
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A hybrid absorbing boundary condition for frequency-domain finite-difference modelling

机译:频域有限差分建模的混合吸收边界条件

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摘要

Liu and Sen (2010 Geophysics 75 A1-6; 2012 Geophys. Prospect. 60 1114-32) proposed an efficient hybrid scheme to significantly absorb boundary reflections for acoustic and elastic wave modelling in the time domain. In this paper, we extend the hybrid absorbing boundary condition (ABC) into the frequency domain and develop specific strategies for regular-grid and staggered-grid modelling, respectively. Numerical modelling tests of acoustic, visco-acoustic, elastic and vertically transversely isotropic (VTI) equations show significant absorptions for frequency-domain modelling. The modelling results of the Marmousi model and the salt model also demonstrate the effectiveness of the hybrid ABC. For elastic modelling, the hybrid Higdon ABC and the hybrid Clayton and Engquist (CE) ABC are implemented, respectively. Numerical simulations show that the hybrid Higdon ABC gets better absorption than the hybrid CE ABC, especially for S-waves. We further compare the hybrid ABC with the classical perfectly matched layer (PML). Results show that the two ABCs cost the same computation time and memory space for the same absorption width. However, the hybrid ABC is more effective than the PML for the same small absorption width and the absorption effects of the two ABCs gradually become similar when the absorption width is increased.
机译:Liu and Sen(2010 Geophysics 75 A1-6; 2012 Geophys。Prospect。60 1114-32)提出了一种有效的混合方案,可以在时域中显着吸收边界反射,用于声波和弹性波建模。在本文中,我们将混合吸收边界条件(ABC)扩展到频域,并分别为规则网格和交错网格建模开发了特定的策略。声学,粘声,弹性和垂直横观各向同性(VTI)方程的数值建模测试显示出对于频域建模具有显着的吸收性。 Marmousi模型和Salt模型的建模结果也证明了混合ABC的有效性。对于弹性建模,分别实现了混合Higdon ABC和混合Clayton and Engquist(CE)ABC。数值模拟表明,混合的Higdon ABC比混合的CE ABC吸收更好,特别是对于S波。我们进一步将混合ABC与经典完美匹配层(PML)进行比较。结果表明,对于相同的吸收宽度,两种ABC花费相同的计算时间和存储空间。但是,对于相同的小吸收宽度,混合型ABC比PML更有效,并且当吸收宽度增加时,两个ABC的吸收效果逐渐相似。

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