干旱区生态环境知识资源中心(Arid): Signal-to-noise ratio computation for challenging land single-sensor seismic data

Arid

DOI	10.1111/1365-2478.13178
	Signal-to-noise ratio computation for challenging land single-sensor seismic data
	Bakulin, Andrey; Silvestrov, Ilya; Protasov, Maxim
通讯作者	Protasov, M (corresponding author)，Russian Acad Sci, Siberian Branch, Inst Petr Geol & Geophys, Novosibirsk, Russia.
来源期刊	GEOPHYSICAL PROSPECTING
ISSN	0016-8025
EISSN	1365-2478
出版年	2022
卷号	70 期号:3 页码:629-638
英文摘要	This study explores practical methods of estimating the signal-to-noise ratio of challenging seismic data containing a signal too small to be identified visually, as often occurring in a desert environment with single-sensor surveys. As a result, the estimation can only be performed using an ensemble of traces. We compare several data-driven estimation approaches and reveal their practical limits using a controlled experiment. We identify a stacking-based method as the most robust with the broadest range of applicability. We relate the number of traces in the ensemble to the lowest reliably estimated absolute signal-to-noise ratio possible with this method using such an ensemble. We support the findings using synthetic and single-sensor field data with low signal-to-noise ratios down to -60 dB. The proposed methodology allows reliable data-driven estimation of very low absolute signal-to-noise ratios directly from pre-stack seismic data.
英文关键词	Acquisition noise signal processing
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000738878400001
WOS类目	Geochemistry & Geophysics
WOS研究方向	Geochemistry & Geophysics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376618
作者单位	[Bakulin, Andrey; Silvestrov, Ilya] Saudi Aramco, EXPEC Adv Res Ctr, Dhahran, Saudi Arabia; [Protasov, Maxim] Russian Acad Sci, Siberian Branch, Inst Petr Geol & Geophys, Novosibirsk, Russia
推荐引用方式 GB/T 7714	Bakulin, Andrey,Silvestrov, Ilya,Protasov, Maxim. Signal-to-noise ratio computation for challenging land single-sensor seismic data[J],2022,70(3):629-638.
APA	Bakulin, Andrey,Silvestrov, Ilya,&Protasov, Maxim.(2022).Signal-to-noise ratio computation for challenging land single-sensor seismic data.GEOPHYSICAL PROSPECTING,70(3),629-638.
MLA	Bakulin, Andrey,et al."Signal-to-noise ratio computation for challenging land single-sensor seismic data".GEOPHYSICAL PROSPECTING 70.3(2022):629-638.