Frequency-Bessel Transform Method for Multimodal Dispersion Measurement of Surface Waves From Distributed Acoustic Sensing Data

Yuan, Shichuan1,2; Chen, Xiaofei1,2,3; Liu, Qi1; Ren, Hengxin1; Wang, Jiannan1; Meng, Haoran1; Yan, Yingwei1

2024-08-01

10.1029/2024JB028751

JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH   影响因子和分区

2169-9313

2169-9356

The array-based frequency-Bessel transform method has been demonstrated to effectively extract dispersion curves of higher-mode surface waves from the empirical Green's functions (EGFs) of displacement fields reconstructed by ambient noise interferometry. Distributed acoustic sensing (DAS), a novel dense array observation technique, has been widely implemented in surface wave imaging to estimate subsurface velocity structure in practice. However, there is still no clear understanding in theory about how to accurately extract surface-wave dispersion curves directly from DAS strain (or strain rate) data. To address this, we extend the frequency-Bessel transform method by deriving Green's functions (GFs) for horizontal strain fields, making it applicable to DAS data. First, we test its performance using synthetic GFs and verify the correctness of extracted dispersion spectrograms with theoretical results. Then, we apply it to three field DAS ambient-noise data sets, two recorded on land and one in the seabed. The reliability and advantages of the method are confirmed by comparing results with the widely used phase shift method. The results demonstrate that our extended frequency-Bessel transform method is reliable and can provide more abundant and higher-quality dispersion information of surface waves. Moreover, our method is also adaptable for active-source DAS data with simple modifications to the derived transform formulas. We also find that the gauge length in the DAS system significantly impacts the polarity and value of extracted dispersion energy. Overall, our study provides a theoretical framework and practical tool for multimodal surface wave dispersion measurement using DAS data.

frequency-Bessel transform method distributed acoustic sensing surface waves dispersion measurement

SCI

英语

第一 ; 通讯

National Natural Science Foundation of China["42304065","92155307"] ; Shenzhen Science and Technology Program[KQTD20170810111725321] ; Guangdong Provincial Key Laboratory of Geophysical High-resolution Imaging Technology[2022B1212010002] ; Shenzhen Key Laboratory of Deep Offshore Oil and Gas Exploration Technology[ZDSYS20190902093007855] ; China Postdoctoral Science Foundation[2022M721460]

Geochemistry & Geophysics

Geochemistry & Geophysics

WOS:001281108600001

AMER GEOPHYSICAL UNION

GEOSCIENCES

Web of Science

1.Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen, Peoples R China
2.Southern Univ Sci & Technol, Guangdong Prov Key Lab Geophys High Resolut Imagin, Shenzhen, Peoples R China
3.Southern Univ Sci & Technol, Shenzhen Key Lab Deep Offshore Oil & Gas Explorat, Shenzhen, Peoples R China

Yuan, Shichuan,Chen, Xiaofei,Liu, Qi,et al. Frequency-Bessel Transform Method for Multimodal Dispersion Measurement of Surface Waves From Distributed Acoustic Sensing Data[J]. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH,2024,129(8).

Yuan, Shichuan.,Chen, Xiaofei.,Liu, Qi.,Ren, Hengxin.,Wang, Jiannan.,...&Yan, Yingwei.(2024).Frequency-Bessel Transform Method for Multimodal Dispersion Measurement of Surface Waves From Distributed Acoustic Sensing Data.JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH,129(8).

Yuan, Shichuan,et al."Frequency-Bessel Transform Method for Multimodal Dispersion Measurement of Surface Waves From Distributed Acoustic Sensing Data".JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH 129.8(2024).