<  Back to the Polytechnique Montréal portal

Multiparameter shallow-seismic waveform inversion based on the Jensen-Shannon divergence

Yingwei Yan, Xiaofei Chen, Jing Li, Jianbo Guan, Yu Liu and Shihao Cui

Article (2024)

Open Access document in PolyPublie
[img]
Preview
Open Access to the full text of this document
Published Version
Terms of Use: Creative Commons Attribution
Download (4MB)
Show abstract
Hide abstract

Abstract

Seismic full-waveform inversion (FWI) or waveform inversion (WI) has gained extensive attention as a cutting-edge imaging method, which is expected to reveal the high-resolution images of complex geological structures. In this paper, we regard each 1-D signal in the inversion system as a 1-D probability distribution, then use the Jensen–Shannon divergence from information theory to measure the discrepancy between the predicted and observed signals, and finally implement a novel 2-D multiparameter shallow-seismic WI (MSWI). Essentially, the novel approach achieves an implicit weighting along the time-axis for each 1-D adjoint source defined by the classical WI (CWI), thus enhancing the extra illumination for a deeper medium compared with the CWI. By evaluating the inversion results of the two-layer model and fault model, the reconstruction accuracy for S-wave velocity and density of the new method is increased by about 30 and 20 per cent compared with that of the CWI under the same conditions, respectively. The reconstruction performance for P-wave velocity of these two methods is almost equal. In addition, the new 2-D MSWI is also resilient to white Gaussian noise in the data. Numerically, the inversion system has almost the strongest sensitivities to the S-wave velocity and density, performing the poorest sensitivity to the P-wave velocity. Finally, we test the novel method with a detection case for a power tunnel.

Uncontrolled Keywords

inverse theory; surface waves and free oscillations; waveform inversion

Subjects: 1400 Mining and mineral processing > 1400 Mining and mineral processing
Department: Department of Civil, Geological and Mining Engineering
Funders: National Natural Science Foundation of China, Shenzhen Science and Technology Program, Guangdong Provincial Key Laboratory of Geophysical High-resolution Imaging Technology, Shenzhen Key Laboratory of Deep Offshore Oil and Gas Exploration Technology
Grant number: U1901602, KQTD20170810111725321, 2022B1212010002, ZDSYS20190902093007855, 42222407
PolyPublie URL: https://publications.polymtl.ca/58201/
Journal Title: Geophysical journal international (vol. 238, no. 1)
Publisher: Oxford University Press
DOI: 10.1093/gji/ggae143
Official URL: https://doi.org/10.1093/gji/ggae143
Date Deposited: 22 May 2024 10:19
Last Modified: 23 May 2024 13:22
Cite in APA 7: Yan, Y., Chen, X., Li, J., Guan, J., Liu, Y., & Cui, S. (2024). Multiparameter shallow-seismic waveform inversion based on the Jensen-Shannon divergence. Geophysical journal international, 238(1), 132-155. https://doi.org/10.1093/gji/ggae143

Statistics

Total downloads

Downloads per month in the last year

Origin of downloads

Dimensions

Repository Staff Only

View Item View Item