Near-Surface Geological Structure Seismic Wave Imaging Using the Minimum Variance Spatial Smoothing Beamforming Method

doi:10.3390/app112210827

	Near-Surface Geological Structure Seismic Wave Imaging Using the Minimum Variance Spatial Smoothing Beamforming Method
	Peng, Ming 4,5; Wang, Dengyi 4,5; Liu, Liu 3; Liu, Chengcheng 2; Shi, Zhenming 4,5; Ma, Fuan 1; Shen, Jian 4,5
刊名	APPLIED SCIENCES-BASEL
	2021-11-01
卷号	11 期号:22 页码:32
关键词	near-surface seismic imaging beamforming underground structure reflection seismic
DOI	10.3390/app112210827
英文摘要	Erecting underground structures in regions with unidentified weak layers, cavities, and faults is highly dangerous and potentially disastrous. An efficient and accurate near-surface exploration method is thus of great significance for guiding construction. In near-surface detection, imaging methods suffer from artifacts that the complex structure caused and a lack of efficiency. In order to realize a rapid, accurate, robust near-surface seismic imaging, a minimum variance spatial smoothing (MVSS) beamforming method is proposed for the seismic detection and imaging of underground geological structures under a homogeneous assumption. Algorithms such as minimum variance (MV) and spatial smoothing (SS), the coherence factor (CF) matrix, and the diagonal loading (DL) methods were used to improve imaging quality. Furthermore, it was found that a signal advance correction helped improve the focusing effect in near-surface situations. The feasibility and imaging quality of MVSS beamforming are verified in cave models, layer models, and cave-layer models by numerical simulations, confirming that the MVSS beamforming method can be adapted for seismic imaging. The performance of MVSS beamforming is evaluated in the comparison with Kirchhoff migration, the DAS beamforming method, and reverse time migration. MVSS beamforming has a high computational efficiency and a higher imaging resolution. MVSS beamforming also significantly suppresses the unnecessary components in seismic signals such as S-waves, surface waves, and white noise. Moreover, compared with basic delay and sum (DAS) beamforming, MVSS beamforming has a higher vertical resolution and adaptively suppresses interferences. The results show that the MVSS beamforming imaging method might be helpful for detecting near-surface underground structures and for guiding engineering construction.
资助项目	National Natural Science Foundation of China[42172296] ; National Natural Science Foundation of China[42071010] ; National Natural Science Foundation of China[42061160480] ; Shanghai Natural Science Foundation[20ZR1461300]
WOS研究方向	Chemistry ; Engineering ; Materials Science ; Physics
语种	英语
出版者	MDPI
WOS记录号	WOS:000724399700001
内容类型	期刊论文
源URL	[http://119.78.100.198/handle/2S6PX9GI/28334]
专题	中科院武汉岩土力学所
通讯作者	Liu, Liu; Liu, Chengcheng
作者单位	1.Guangxi Nonferrous Survey & Design Inst, Nanning 530031, Peoples R China 2.Fudan Univ, Acad Engn & Technol, Shanghai 200433, Peoples R China 3.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 4.Tongji Univ, Coll Civil Engn, Dept Geotech Engn, Shanghai 200092, Peoples R China 5.Tongji Univ, Dept Geotech Engn, Minist Educ, Key Lab Geotech & Underground Engn, Shanghai 200092, Peoples R China
推荐引用方式 GB/T 7714	Peng, Ming,Wang, Dengyi,Liu, Liu,et al. Near-Surface Geological Structure Seismic Wave Imaging Using the Minimum Variance Spatial Smoothing Beamforming Method[J]. APPLIED SCIENCES-BASEL,2021,11(22):32.
APA	Peng, Ming.,Wang, Dengyi.,Liu, Liu.,Liu, Chengcheng.,Shi, Zhenming.,...&Shen, Jian.(2021).Near-Surface Geological Structure Seismic Wave Imaging Using the Minimum Variance Spatial Smoothing Beamforming Method.APPLIED SCIENCES-BASEL,11(22),32.
MLA	Peng, Ming,et al."Near-Surface Geological Structure Seismic Wave Imaging Using the Minimum Variance Spatial Smoothing Beamforming Method".APPLIED SCIENCES-BASEL 11.22(2021):32.