2002
DOI: 10.1190/1.1451454
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Arbitrary source and receiver positioning in finite‐difference schemes using Kaiser windowed sinc functions

Abstract: In finite-difference methods a seismic source can be implemented using either initial wavefield values or body forces. However, body forces can only be specified at finite-difference nodes, and, if using initial values, a source cannot be located close to a reflecting boundary or interface in the model. Hence, difficulties can exist with these schemes when the region surrounding a source is heterogeneous or when a source either is positioned between nodes or is arbitrarily close to a free surface.A completely … Show more

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Cited by 133 publications
(93 citation statements)
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“…The source was represented as a tapered sinc, a variant of the one proposed by Hicks (2002). For the mass-lumped finite elements, we only considered the augmented element of degree 3, type 2 (Chin-Joe-Kong et al, 1999), which has a more favourable time-stepping stability limit than type 1 (Zhebel et al, 2011).…”
Section: Methodsmentioning
confidence: 99%
“…The source was represented as a tapered sinc, a variant of the one proposed by Hicks (2002). For the mass-lumped finite elements, we only considered the augmented element of degree 3, type 2 (Chin-Joe-Kong et al, 1999), which has a more favourable time-stepping stability limit than type 1 (Zhebel et al, 2011).…”
Section: Methodsmentioning
confidence: 99%
“…The window's properties are dictated by the combination of r and the control parameter b, where Hicks [18] provides an analysis into selecting optimal values for these. Two common options are b = 6.31 for r = 4 and b = 12.53 for r = 8 (Fig.…”
Section: Sinc Function Truncation Using Kaiser Windowsmentioning
confidence: 99%
“…The starting frequency for modeling in exploration seismics can be as small as 2 Hz which can lead to grid intervals as large as 200 m. In this framework, accurate implementation of point source at arbitrary position in a coarse grid is critical. One method has been proposed by Hicks (2002) where the point source is approximated by a windowed Sinc function. The Sinc function is defined by…”
Section: Source and Receiver Implementation On Coarse Gridsmentioning
confidence: 99%
“…The Sinc function is tapered with a Kaiser function to limit its spatial support (Hicks, 2002) . For multidimensional simulations, the interpolation function is built by tensor product construction of 1D windowed Sinc functions.…”
Section: Source and Receiver Implementation On Coarse Gridsmentioning
confidence: 99%