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Passive source reverse time migration based on the spectral element method
  • +4
  • Bin He,
  • Yu Chen,
  • David E Lumley,
  • Qinya Liu,
  • Nozomu Takeuchi,
  • Hitoshi Kawakatsu,
  • Hejun Zhu
Bin He
University of Texas at Dallas
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Yu Chen
University of Texas at Dallas
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David E Lumley
University of Texas at Dallas
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Qinya Liu
University of Toronto
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Nozomu Takeuchi
University of Tokyo
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Hitoshi Kawakatsu
Earthquake Research Institute, The University of Tokyo
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Hejun Zhu
University of Texas at Dallas

Corresponding Author:[email protected]

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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.
29 Nov 2023Submitted to ESS Open Archive
01 Dec 2023Published in ESS Open Archive