Application of six-component ambient seismic noise data for high-resolution imaging of lateral heterogeneities
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.
First ; Corresponding
|ESI Research Field|
Cited Times [WOS]:2
|Document Type||Journal Article|
|Department||Department of Earth and Space Sciences|
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 Affilication||Department of Earth and Space Sciences|
|Corresponding Author Affilication||Department of Earth and Space Sciences; Southern University of Science and Technology|
|First Author's First Affilication||Department of Earth and Space Sciences|
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.
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.
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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