2018
DOI: 10.1088/1742-2140/aab015
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Adaptive 9-point frequency-domain finite difference scheme for wavefield modeling of 2D acoustic wave equation

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Cited by 19 publications
(6 citation statements)
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“…Then, the corresponding table of weights is built by minimizing the dispersion for each tabulated G, which are processed separately although some regularization can be implemented to force smooth variations of the weights with G. Then, each row of the impedance matrix is built by picking in the table the weights corresponding to the local wavelength. A similar idea was proposed for the 2D 9-point stencil by Xu & Gao (2018), who concluded from basic 2D simulations that the 9-point adaptive stencil reaches the same accuracy as the 25-point counterpart (Shin & Sohn, 1998). However, this study lacks comprehensive validation of the method against structurally complex and contrasted media.…”
Section: Introductionmentioning
confidence: 96%
“…Then, the corresponding table of weights is built by minimizing the dispersion for each tabulated G, which are processed separately although some regularization can be implemented to force smooth variations of the weights with G. Then, each row of the impedance matrix is built by picking in the table the weights corresponding to the local wavelength. A similar idea was proposed for the 2D 9-point stencil by Xu & Gao (2018), who concluded from basic 2D simulations that the 9-point adaptive stencil reaches the same accuracy as the 25-point counterpart (Shin & Sohn, 1998). However, this study lacks comprehensive validation of the method against structurally complex and contrasted media.…”
Section: Introductionmentioning
confidence: 96%
“…Accurate acoustic wave propagation is a highly challenging computational problem that is crucial to acoustic modeling, imaging, and inversion. To solve the time-domain or frequency-domain acoustic wave equation in a heterogeneous medium, it is necessary to apply numerical modeling techniques, such as the finite-difference time-domain (FDTD) method [1][2][3][4][5], finite-difference frequency-domain (FDFD) [6,7], finite-element time-domain (FETD) [8][9][10][11], finite-element frequency-domain (FEFD) [12], pseudo-spectral time-domain (PSTD) [13][14][15], and spectral-element time-domain (SETD) methods [16][17][18]. The FDTD method is the most popular numerical scheme for simulating acoustic wave propagation.…”
Section: Introductionmentioning
confidence: 99%
“…Since forward modeling of the wave equation consumes most computational time in the RTM and FWI processes (Jing et al, 2019;Xu et al, 2021b;Liu et al, 2021), how to achieve the improvement of efficiency and the reduction of memory usage without a significant decrease of accuracy for 3D large-scale modeling is a key problem of seismic modeling. The finite-difference (FD) method has been regarded as one of the most popular wave modeling methods for its easy implementation and high-computational efficiency (Antunes et al, 2014;Abreu et al, 2015;Xu and Gao, 2018;Robertsson and Blanch, 2020). However, the numerical dispersion of the traditional FD method leads to the use of fine grids or high-order operators (Dablain, 1986;Liu and Sen, 2011b), which inevitably affects the efficiency of simulation.…”
Section: Introductionmentioning
confidence: 99%