2001
DOI: 10.1785/0120000024
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Discontinuous-Grid Finite-Difference Seismic Modeling Including Surface Topography

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Cited by 93 publications
(41 citation statements)
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“…Like in most FD modeling techniques including surface topography, the oblique segments of the topography are approximated by a staircase shape (Hayashi et al, 2001). The primary shortcoming of this approximation is that it needs a fine-grid discretization to reduce the spurious diffractions at the corners of the stairs.…”
Section: An Improved Vacuum Formulation T3mentioning
confidence: 99%
“…Like in most FD modeling techniques including surface topography, the oblique segments of the topography are approximated by a staircase shape (Hayashi et al, 2001). The primary shortcoming of this approximation is that it needs a fine-grid discretization to reduce the spurious diffractions at the corners of the stairs.…”
Section: An Improved Vacuum Formulation T3mentioning
confidence: 99%
“…In case of more complex topographies, one strategy is to adapt the topography to the grid structure at the expense of numerical dispersion effect (Robertsson, 1996) or to deform the underlying meshing used in the numerical method to the topography (Hestholm, 1999;Hestholm & Ruud, 1998;Tessmer et al, 1992). In the first case, because of stair-case approximation, a local fine sampling is required (Hayashi et al, 2001). …”
Section: Free Surfacementioning
confidence: 99%
“…Therefore, the type of nonuniform grids that have larger grid-spacing for deeper part of the simulation domain are of particular interest for seismic applications. Earlier attempts on finite difference simulation of seismic wave on this type of grids can be found in Hayashi et al (2001); Kristek et al (2010); Zhang et al (2013), etc., and the references therein. Unfortunately, these earlier attempts encounter the so-called long-time instability longfei.gao@kaust.edu.sa † david.ketcheson@kaust.edu.sa ‡ david.keyes@kaust.edu.sa Instability 3…”
Section: Introductionmentioning
confidence: 99%
“…To the knowledge of the authors, the cause of this long-time instability has not yet been fully understood. Various techniques have been devised to control this long-time instability, including spatial averaging (Hayashi et al 2001), spatial filtering (Kristek et al 2010;Zhang et al 2013) and temporal filtering (Gao et al 2016). In this work, we analyze this long-time instability issue from an algebraic perspective and employ the discrete energy method (cf.…”
Section: Introductionmentioning
confidence: 99%