Two-step full waveform inversion of diving and reflected waves with the diffraction-angle-filtering-based scale-separation technique
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Title
- Two-step full waveform inversion of diving and reflected waves with the diffraction-angle-filtering-based scale-separation technique
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Author(s)
- Kim, Donggeon; Hwang, Jongha; Min, Dong-Joo; Oh, Ju-Won; Alkhalifah, Tariq
- KIOST Author(s)
- Hwang, Jongha(황종하)
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Alternative Author(s)
- 황종하
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Publication Year
- 2022-05
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Abstract
- Full waveform inversion (FWI) is a highly non-linear optimization problem that aims to reconstruct high-resolution subsurface structures. The success of FWI in reflection seismology relies on appropriate updates of low-wavenumber background velocity structures, which are generally driven by the diving waves in conventional FWI. On the other hand, the reflected waves mainly contribute to updating high-wavenumber components rather than low-wavenumber components. To extract low-wavenumber information from the reflected waves in addition to the diving waves, we propose a two-step FWI strategy that separates a given model into the reflectivity and background velocity models and then alternately update them using the scale-separation technique based on diffraction-angle filtering (DAF; which was proposed to effectively control wavenumber components of the FWI gradient). Our strategy first inverts the high-wavenumber reflectivity model by suppressing energy at large diffraction angles, which are necessary to compute the reflection wave paths (i.e. the rabbit-ears-shaped kernels) for low-wavenumber updates in the subsequent stage. Then, we extract low-wavenumber components due to the diving (banana-shaped kernels) and reflected waves (rabbit-ears-shaped kernels) from the gradient by suppressing energy at small diffraction angles. Our strategy is similar to reflection waveform inversion (RWI) in that it separates a given model into high- and low-wavenumber components and uses the rabbit-ears-shaped kernels for low-wavenumber updates. The main difference between our strategy and RWI is that our strategy adopts the DAF-based scale-separation technique in the space domain, which makes our algorithm of using both the banana-shaped and rabbit-ears-shaped kernels computationally attractive. By applying our two-step inversion strategy to the synthetic data for the Marmousi-II model and the real ocean-bottom cable data from the North sea, we demonstrate that our method properly reconstructs low-wavenumber structures even if initial models deviate from the true models.
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ISSN
- 0956-540X
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URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/42407
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DOI
- 10.1093/gji/ggab522
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Bibliographic Citation
- Geophysical Journal International, v.229, no.2, pp.880 - 897, 2022
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Publisher
- Geological Society by Blackwell Scientific
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Keywords
- Inverse theory; Waveform inversion; Acoustic properties; Body waves; Seismic tomography; Wave scattering and diffraction
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Type
- Article
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Language
- English
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Document Type
- Article
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