SEG Technical Program Expanded Abstracts 2018 2018
DOI: 10.1190/segam2018-2995782.1
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Fractal-mechanical network based time-domain viscoacoustic wave equation

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Cited by 11 publications
(5 citation statements)
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“…If the Q heterogeneity becomes even stronger in practice, we can choose more Q values for implementing PSFLPI to maintain the numerical accuracy. Also, several advanced numerical schemes have been reported to further improve the accuracy of calculating the fractional Laplacian operators, e.g., low-rank approximation (Sun et al, 2015), analytic wave propagator plus low-rank approximation (Chen et al, 2016), Hermitian-distributed approximation functional (Yao et al, 2017), and fixed-order fractional Laplacian (Xing and Zhu, 2018). These three methods have the potential to improve the accuracy of solving the viscoelastic-TI wave equation proposed in this study.…”
Section: Accuracy Of Computing Fractionalmentioning
confidence: 99%
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“…If the Q heterogeneity becomes even stronger in practice, we can choose more Q values for implementing PSFLPI to maintain the numerical accuracy. Also, several advanced numerical schemes have been reported to further improve the accuracy of calculating the fractional Laplacian operators, e.g., low-rank approximation (Sun et al, 2015), analytic wave propagator plus low-rank approximation (Chen et al, 2016), Hermitian-distributed approximation functional (Yao et al, 2017), and fixed-order fractional Laplacian (Xing and Zhu, 2018). These three methods have the potential to improve the accuracy of solving the viscoelastic-TI wave equation proposed in this study.…”
Section: Accuracy Of Computing Fractionalmentioning
confidence: 99%
“…These three methods have the potential to improve the accuracy of solving the viscoelastic-TI wave equation proposed in this study. Among them, a fixed-order power term of the fractional Laplacian using an ad-hoc approximation presented by Chen et al (2016) and Xing and Zhu (2018) may further simplify the formulation of the viscoelastic-VTI wave equation and will be investigated in upcoming studies.…”
Section: Accuracy Of Computing Fractionalmentioning
confidence: 99%
“…For heterogeneous media, the order of the fractional Laplacian may be spatially variable, which suffer from the mixed-domain problems and can also introduce strong noises because of the Gibb's phenomenon in the inverse Fourier transform, especially for models with sharp Q contrasts (Li et al, 2016). Several strategies are proposed to cope with the problem of the spatially variable-order fractional Laplacian (Chen et al, 2016;Yao et al, 2017;Xing and Zhu, 2018;Wang et al, 2018). In addition, with the decoupled dispersion and attenuation effects, fractional Laplacian wave equations have been widely used to achieve Q-compensated reverse-time migration Guo et al, 2016;Zhu and Sun, 2017) and waveform inversion (Xue et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…They subsequently apply this equation to compensate attenuation effects in reverse-time migration (RTM) (Zhu, 2014;, reflectivity inversion (Sun et al, 2016), and FWI (Xue et al, 2018). Based on a modified constant-Q wave equation (Xing & Zhu, 2018), Xing and Zhu (2019) derive the corresponding Fréchet kernels and misfit gradients for traveltime, amplitude, and waveform measurements. Yang et al (2016) give a systematic review of the viscoelastic wave equations and the corresponding applications in FWI.…”
Section: Introductionmentioning
confidence: 99%