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Contributions to seismic interferometry

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Beyond Correlations: Deep Learning for Seismic Interferometry

IEEE Transactions on Neural Networks and Learning Systems, 2022
Passive seismic interferometry is a vastly generalized blind deconvolution question, where different paths through the Earth correspond to different channels called Green’s functions; the sources are completely incoherent and not shared by the channels ...
Hongyu Sun, L. Demanet
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Retrieval of surface waves from high-speed-train-induced vibrations using seismic interferometry

Geophysics, 2023
Train traffic has recently been realized as a potential seismic source for imaging and monitoring shallow subsurface structures. High-speed trains usually move on viaducts and generate seismic wavefields through bridge piers.
B. Mi, J. Xia, Yixian Xu, Baiyang You, Yunfeng Chen   +4 more
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On the Retrievability of Seismic Waves From High-Speed-Train-Induced Vibrations Using Seismic Interferometry

IEEE Geoscience and Remote Sensing Letters, 2022
High-speed train (HST) generates strong and repeatable vibrations that could be used for subsurface imaging and monitoring. Compared with other ambient noise, HST vibrations are generated by a moving source and have striking characteristics as a ...
Yujin Liu, Y. Yue, Youming Li, Yi Luo
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Elimination of free-surface-related multiples by combining Marchenko scheme and seismic interferometry

Geophysics, 2022
The removal of free-surface-related multiples plays an important role in seismic data processing. We propose a novel scheme for predicting free-surface-related multiples by combining the revised Marchenko equations with free surface effects and ...
Wenjun He, J. Geng
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Data-driven reflection imaging based on seismic interferometry

Geophysics, 2022
In conventional land seismic exploration, shallow seismic reflections with low fold are usually contaminated by noise and most conventional acquisition geometries struggle to produce sufficient near-offset fold to process shallow seismic reflections ...
B. Qiao, Yunlong Lu, Qingqing Li, Yucheng Huang, Shangli Liang   +4 more
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Effects of high-speed train traffic characteristics on seismic interferometry

, 2021
Train traffic has been recognized as a powerful noise source for subsurface imaging and monitoring due to its properties of being strong, economic and repeatable. Compared with the traditional train, the high-speed train (HST) runs faster and generates
Yujin Liu, Y. Yue, Yiyang Luo, Youmin Li
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Inversion of vehicle-induced signals based on seismic interferometry and recurrent neural networks

, 2021
Vehicle-induced vibrations provide useful signals for passive seismic exploration. Such signals are repeatable and environmentally friendly; hence, they can provide an economical way to analyze subsurface structures.
Lu Liu, Yujin Liu, Tao Li, Yi He, Yue Du, Yi Luo   +5 more
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Laser interferometry based seismic sensor

SPIE Proceedings, 2003
Laser interferometry is one of the most sensitive and versatile techniques for small relative displacements measurement. For these reasons it is used or it is being introduced in many different fields of research. One of its possible applications is seismic activity monitoring, obtained by fixing the mirrors of an interferometer to the ground. In order
BARONE, Fabrizio, DE ROSA R, MILANO L, QIPIANI K.   +3 more
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Global Scale Seismic Interferometry

68th EAGE Conference and Exhibition - Workshop Package, 2006
Seismic reflection imaging has shown its virtues on exploration scale, but has little been applied on a global scale due to the sparse source distribution; the earthquake hypocenters are mainly along the active lithospheric plate boundaries. This problem can be approached with Seismic Interferometry (SI).
E. Ruigrok, D. Draganov, K. Wapenaar
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