初至波层析成像的反演参数选取: 以南海中央次海盆三维地震探测数据为例*

doi:10.11978/j.issn.1009-5470.2014.05.010

Abstract

Abstract: First arrival seismic tomography (FAST) is one of the most widely used seismic tomography tools to achieve complicated three-dimensional (3D) deep crustal structure. The selection of optimal inversion parameters for FAST is a key to obtain a reasonable velocity model effectively. Based on the 3D seismic survey data collected from the central sub-basin of the South China Sea (SCS), the selection process of inversion parameters was illustrated in detail in this paper, using the control variate method, namely, selecting one parameter while fixing the other parameters, and then selecting the combination of all parameters comprehensively. The result showed that the combination of parameters (damping parameter λ=2, smoothness weighting parameter s_z=1, inversion number I=4) was an assembly of optimal inversion parameters for the 3D seismic structure of the central sub-basin of the SCS. The preferred preliminary velocity structure acquired by this combination indicated that the central sub-basin could be classified as a typical slow-spreading oceanic crust. The research of choosing inversion parameters not only lays a foundation for further modeling of detailed 3D seismic structure of the Zhenbei-Huangyan seamount chain but also provides reference and experience for the application of FAST software in other potential areas.

Key words: first arrival seismic tomography (FAST), inversion parameter, three-dimensional (3D) seismic survey, central sub-basin

CLC Number:

P738

WANG Jian, ZHAO Ming-hui, HE En-yuan, ZHANG Jia-zheng, QIU Xue-lin. The selection of optimal inversion parameters for first-arrival seismic tomography: An application to 3D seismic data from the central sub-basin of the South China Sea[J].Journal of Tropical Oceanography, 2014, 33(5): 74-83.

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The selection of optimal inversion parameters for first-arrival seismic tomography: An application to 3D seismic data from the central sub-basin of the South China Sea

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