Spatially-optimized finite-difference schemes for numerical dispersion suppression in seismic applications
Edward Caunt

TL;DR
This paper introduces a method to optimize finite-difference schemes for seismic wave simulations, reducing numerical dispersion and enabling accurate wave propagation on coarser grids, thus improving computational efficiency.
Contribution
It proposes a constrained minimization approach to optimize FD stencil weights, enhancing wave simulation accuracy in seismic applications compared to traditional methods.
Findings
Optimized schemes outperform conventional ones in undersampled wavefields.
The method allows stable simulations on coarser grids.
Enhanced accuracy in seismic wave propagation modeling.
Abstract
Propagation characteristics of a wave are defined by the dispersion relationship, from which the governing partial differential equation (PDE) can be recovered. PDEs are commonly solved numerically using the finite-difference (FD) method, with stencils constructed from truncated Taylor series expansions which, whilst typically providing good approximation of the PDE in the space-time domain, often differ considerably from the original partial differential in the wavenumber-frequency domain where the dispersion relationship is defined. Consequentially, stable, high-order FD schemes may not necessarily result in realistic wave behavior, commonly exhibiting numerical dispersion: lagging high-frequency components as a product of discretization. A method for optimizing FD stencil weightings via constrained minimization to better approximate the partial derivative in the wavenumber domain is…
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Taxonomy
TopicsSeismic Imaging and Inversion Techniques · Seismic Waves and Analysis · Geophysical Methods and Applications
