Retrieving S-wave velocity from surface wave multimode dispersion curves with DispINet

被引:9
|
作者
Fu, Lei [1 ,2 ]
Pan, Lei [1 ]
Ma, Qingbo [3 ]
Dong, Sheng [3 ]
Chen, Xiaofei [1 ,2 ]
机构
[1] Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen 518055, Peoples R China
[2] Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou 511458, Peoples R China
[3] Univ Sci & Technol China, Sch Earth & Space Sci, Hefei 230026, Peoples R China
基金
中国国家自然科学基金;
关键词
Dispersion curve; S-wave velocity; CNN; AMBIENT SEISMIC NOISE; SIMULATED ANNEALING INVERSION; CRUSTAL STRUCTURE; RAYLEIGH-WAVES; PHASE-VELOCITY; GENETIC ALGORITHMS; 2-STATION ANALYSIS; ARRAY TOMOGRAPHY; MANTLE STRUCTURE; FORM INVERSION;
D O I
10.1016/j.jappgeo.2021.104430
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
We present a data-driven dispersion curve inversion network (DispINet) that directly maps the multimode dispersion curves to the S-wave velocity model. DispINet is trained with synthetic samples that consist of multimode dispersion curve data and the corresponding S-wave velocity models. The S-wave velocity models are generated according to prior information in a specific study area. Multimode dispersion curves are calculated by the generalized reflection-transmission coefficient method for each model. The well-trained DispINet could be used to predict the S-wave velocity model for other dispersion curve data never seen by DispINet. Testing data and Qademah field data results show that DispINet has the ability to retrieve a reasonable underground S-wave velocity structure in real time.
引用
收藏
页数:8
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