Imaging the Subsurface With the High-Speed Train Seismic Data-Based Elastic Reverse Time Migration
Author:
Affiliation:
1. School of Automation and Information Engineering, Xi’an University of Technology, Xi’an, China
2. School of Information and Communication Engineering, Xi’an Jiaotong University, Xi’an, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10223428.pdf?arnumber=10223428
Reference37 articles.
1. Modelling P waves in seismic noise correlations: advancing fault monitoring using train traffic sources
2. Multidirectional-vector-based elastic reverse time migration and angle-domain common-image gathers with approximate wavefield decomposition of P- and S-waves
3. Train Traffic as a Powerful Noise Source for Monitoring Active Faults With Seismic Interferometry
4. Free‐surface boundary conditions for elastic staggered‐grid modeling schemes
5. Interferometry imaging using high-speed-train induced seismic wave;zhang;Chin J Geophys,2019
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1. Elastic Wave Equation Traveltime Inversion With Dynamic Time Warping Based on High-Speed Train Seismic Data;IEEE Transactions on Geoscience and Remote Sensing;2024
2. 3-D Tunnel Space Elastic Reverse Time Migration in Cylindrical Coordinates Using Reconstructed Time-Domain Wavefields;IEEE Transactions on Geoscience and Remote Sensing;2024
3. Seismic Data Separation Based on the Equidistant-Spectral Constrained Morphological Component Analysis;IEEE Transactions on Geoscience and Remote Sensing;2024
4. Forward Modeling of Seismic Wavefield Induced by the High-Speed Trains in 3-D Space;IEEE Transactions on Geoscience and Remote Sensing;2024
5. A Cascaded Synchrosqueezing Transform for Precise Analysis of Seismic Signal;IEEE Transactions on Geoscience and Remote Sensing;2024
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