Reduced-order modeling for complex 3D seismic wave propagation
John M. Rekoske, Dave A. May, Alice-Agnes Gabriel

TL;DR
This paper introduces a reduced-order modeling approach that significantly accelerates the computation of seismic Green's functions, enabling real-time, high-resolution ground motion predictions in complex 3D Earth models.
Contribution
The authors develop a novel reduced-order model that approximates seismic wavefields, allowing rapid and accurate Green's function evaluations in complex 3D geophysical settings.
Findings
Rapid computation of Green's functions (0.001 CPU hours)
High accuracy with less than 0.01 cm/s error in seismograms
Effective reproduction of various seismic source types
Abstract
Elastodynamic Green's functions are an essential ingredient in seismology as they form the connection between direct observations of seismic waves and the earthquake source. They are also fundamental to various seismological techniques including physics-based ground motion prediction and kinematic or dynamic source inversions. In regions with established 3D models of the Earth's elastic structure, 3D Green's functions can be computed using numerical simulations of seismic wave propagation. However, such simulations are computationally expensive which poses challenges for real-time ground motion prediction. Here, we use a reduced-order model (ROM) approach that enables the rapid evaluation of approximate Green's functions. The ROM technique developed approximates three-component surface velocity wavefields obtained from numerical simulations of seismic wave propagation. We apply our ROM…
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Taxonomy
TopicsSeismic Imaging and Inversion Techniques · Drilling and Well Engineering · Advanced Computational Techniques and Applications
