Passive Source Reverse Time Migration Based on the Spectral Element Method

Abstract Increasing deployment of dense arrays has facilitated detailed structure imaging for tectonic investigation, hazard assessment and resource exploration. Strong velocity heterogeneity and topographic changes have to be considered during passive source imaging. However, it is quite challenging for ray‐based methods, such as Kirchhoff migration or the widely used teleseismic receiver function, to handle these problems. In this study, we propose a 3‐D passive source reverse time migration strategy based on the spectral element method. It is realized by decomposing the time reversal full elastic wavefield into amplitude‐preserved vector P and S wavefields by solving the corresponding weak‐form solutions, followed by a dot‐product imaging condition to get images for the subsurface structures. It enables us to use regional 3‐D migration velocity models and take topographic variations into account, helping us to locate reflectors at more accurate positions than traditional 1‐D model‐based methods, like teleseismic receiver functions. Two synthetic tests are used to demonstrate the advantages of the proposed method to handle topographic variations and complex velocity heterogeneities. Furthermore, applications to the Laramie array data using both teleseismic P and S waves enable us to identify several south‐dipping structures beneath the Laramie basin in southeast Wyoming, which are interpreted as the Cheyenne Belt suture zone and agree with, and improve upon previous geological interpretations.

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Publication Details

Journal
Journal of Geophysical Research Solid Earth
Published
2024-10-01
DOI
https://doi.org/10.1029/2023jb028370
Citations
1
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
0.53

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article

Passive Source Reverse Time Migration Based on the Spectral Element Method

Hitoshi Kawakatsu, Ting Lei, Yu Chen, Qinya Liu et al.
1 citations
Journal of Geophysical Research Solid Earth
Seismic Imaging and Inversion Techniques
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article

Passive Source Reverse Time Migration Based on the Spectral Element Method

Hitoshi Kawakatsu, Ting Lei, Yu Chen, Qinya Liu, Bin He, David Lumley, N. Takeuchi, Hejun Zhu
article en
1 citations

Abstract

Abstract Increasing deployment of dense arrays has facilitated detailed structure imaging for tectonic investigation, hazard assessment and resource exploration. Strong velocity heterogeneity and topographic changes have to be considered during passive source imaging. However, it is quite challenging for ray‐based methods, such as Kirchhoff migration or the widely used teleseismic receiver function, to handle these problems. In this study, we propose a 3‐D passive source reverse time migration strategy based on the spectral element method. It is realized by decomposing the time reversal full elastic wavefield into amplitude‐preserved vector P and S wavefields by solving the corresponding weak‐form solutions, followed by a dot‐product imaging condition to get images for the subsurface structures. It enables us to use regional 3‐D migration velocity models and take topographic variations into account, helping us to locate reflectors at more accurate positions than traditional 1‐D model‐based methods, like teleseismic receiver functions. Two synthetic tests are used to demonstrate the advantages of the proposed method to handle topographic variations and complex velocity heterogeneities. Furthermore, applications to the Laramie array data using both teleseismic P and S waves enable us to identify several south‐dipping structures beneath the Laramie basin in southeast Wyoming, which are interpreted as the Cheyenne Belt suture zone and agree with, and improve upon previous geological interpretations.

Journal of Geophysical Research Solid EarthVol. 129(10)
The University of Texas at Dallas (US), University of Toronto (CA), Association for the Development of Earthquake Prediction (JP), The University of Tokyo (JP)
National Science Foundation, Discovery Eye Foundation, University of Toronto, University of Texas at Dallas, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 34%
Seismic Imaging and Inversion Techniques
0.53
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