中文版 | English
Title

Application of six-component ambient seismic noise data for high-resolution imaging of lateral heterogeneities

Author
Corresponding AuthorFang,Xinding
Publication Years
2023-03-01
DOI
Source Title
ISSN
0956-540X
EISSN
1365-246X
Volume232Issue:3Pages:1756-1784
Abstract

We develop a novel approach for imaging subsurface lateral heterogeneities using six-component (6C) ambient seismic noise data, consisting of three translational components and three rotational components. We first derive the 6C cross-correlation functions (CCFs) from ambient seismic noise data for surface waves and then apply the modified frequency Bessel (MF-J) transform to the 6C CCFs for surface wave dispersion curves. The phase velocities of Rayleigh and Love waves can be directly calculated from the 6C CCFs of a single pair of stations. Traditional array-based surface wave methods derive the surface wave phase velocity based on the presumption of a horizontally layered model. When this assumption breaks down due to the presence of, for example, dipping layer or heterogeneities, the resulting phase velocity can be severely smeared. By contrast, the proposed approach is not limited by the layered model assumption because it relies on single-point measurements to calculate the localized dispersion relations of the formation right beneath a receiver. Our numerical modelling results demonstrate that this approach is applicable to heterogeneous models and can image small-scale subsurface anomalies with very high lateral resolution.

Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
First ; Corresponding
ESI Research Field
GEOSCIENCES
Scopus EID
2-s2.0-85144620444
Data Source
Scopus
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/442654
DepartmentDepartment of Earth and Space Sciences
Affiliation
1.Department of Earth and Space Sciences,Southern University of Science and Technology,Shenzhen,518055,China
2.Shenzhen Key Laboratory of Deep Offshore Oil and Gas Exploration Technology,Southern University of Science and Technology,Shenzhen,518055,China
3.Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou),Guangzhou,1119 Haibin Rd., Nansha District,511458,China
4.Department of Earth and Atmospheric Sciences,University of Houston,Houston,77004,United States
5.5Department of Earth and Environmental Sciences,Ludwig-Maximilians-University Munich,Munich,80333,Germany
First Author AffilicationDepartment of Earth and Space Sciences
Corresponding Author AffilicationDepartment of Earth and Space Sciences;  Southern University of Science and Technology
First Author's First AffilicationDepartment of Earth and Space Sciences
Recommended Citation
GB/T 7714
Tang,Le,Fang,Xinding. Application of six-component ambient seismic noise data for high-resolution imaging of lateral heterogeneities[J]. GEOPHYSICAL JOURNAL INTERNATIONAL,2023,232(3):1756-1784.
APA
Tang,Le,&Fang,Xinding.(2023).Application of six-component ambient seismic noise data for high-resolution imaging of lateral heterogeneities.GEOPHYSICAL JOURNAL INTERNATIONAL,232(3),1756-1784.
MLA
Tang,Le,et al."Application of six-component ambient seismic noise data for high-resolution imaging of lateral heterogeneities".GEOPHYSICAL JOURNAL INTERNATIONAL 232.3(2023):1756-1784.
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