Distributed acoustic sensing for seismic activity monitoring

Continuous, real-time monitoring of surface seismic activity around the globe is of great interest for acquiring new insight into global tomography analyses and for recognition of seismic patterns leading to potentially hazardous situations. The already-existing telecommunication fiber optic network...

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Published inAPL photonics Vol. 5; no. 3; pp. 030901 - 030901-16
Main Authors Fernández-Ruiz, María R., Soto, Marcelo A., Williams, Ethan F., Martin-Lopez, Sonia, Zhan, Zhongwen, Gonzalez-Herraez, Miguel, Martins, Hugo F.
Format Journal Article
LanguageEnglish
Published AIP Publishing LLC 01.03.2020
Online AccessGet full text
ISSN2378-0967
2378-0967
DOI10.1063/1.5139602

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Abstract Continuous, real-time monitoring of surface seismic activity around the globe is of great interest for acquiring new insight into global tomography analyses and for recognition of seismic patterns leading to potentially hazardous situations. The already-existing telecommunication fiber optic network arises as an ideal solution for this application, owing to its ubiquity and the capacity of optical fibers to perform distributed, highly sensitive monitoring of vibrations at relatively low cost (ultra-high density of point sensors available with minimal deployment of new equipment). This perspective article discusses early approaches on the application of fiber-optic distributed acoustic sensors (DASs) for seismic activity monitoring. The benefits and potential impact of DAS technology in these kinds of applications are here illustrated with new experimental results on teleseism monitoring based on a specific approach: the so-called chirped-pulse DAS. This technology offers promising prospects for the field of seismic tomography due to its appealing properties in terms of simplicity, consistent sensitivity across sensing channels, and robustness. Furthermore, we also report on several signal processing techniques readily applicable to chirped-pulse DAS recordings for extracting relevant seismic information from ambient acoustic noise. The outcome presented here may serve as a foundation for a novel conception for ubiquitous seismic monitoring with minimal investment.
AbstractList Continuous, real-time monitoring of surface seismic activity around the globe is of great interest for acquiring new insight into global tomography analyses and for recognition of seismic patterns leading to potentially hazardous situations. The already-existing telecommunication fiber optic network arises as an ideal solution for this application, owing to its ubiquity and the capacity of optical fibers to perform distributed, highly sensitive monitoring of vibrations at relatively low cost (ultra-high density of point sensors available with minimal deployment of new equipment). This perspective article discusses early approaches on the application of fiber-optic distributed acoustic sensors (DASs) for seismic activity monitoring. The benefits and potential impact of DAS technology in these kinds of applications are here illustrated with new experimental results on teleseism monitoring based on a specific approach: the so-called chirped-pulse DAS. This technology offers promising prospects for the field of seismic tomography due to its appealing properties in terms of simplicity, consistent sensitivity across sensing channels, and robustness. Furthermore, we also report on several signal processing techniques readily applicable to chirped-pulse DAS recordings for extracting relevant seismic information from ambient acoustic noise. The outcome presented here may serve as a foundation for a novel conception for ubiquitous seismic monitoring with minimal investment.
Author Gonzalez-Herraez, Miguel
Fernández-Ruiz, María R.
Martins, Hugo F.
Martin-Lopez, Sonia
Zhan, Zhongwen
Soto, Marcelo A.
Williams, Ethan F.
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  surname: Fernández-Ruiz
  fullname: Fernández-Ruiz, María R.
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  surname: Martins
  fullname: Martins, Hugo F.
  organization: Instituto de Óptica, CSIC
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(2024061320505479000_c4) 2016; 16
(2024061320505479000_c5) 2018; 36
(2024061320505479000_c17) 1981; 17
(2024061320505479000_c21) 2019; 46
(2024061320505479000_c57) 2018; 36
(2024061320505479000_c48) 2016; 41
(2024061320505479000_c2) 1999; 10
(2024061320505479000_c65) 2017; 65
(2024061320505479000_c46) 2018; 6
(2024061320505479000_c52) 2017; 25
(2024061320505479000_c62) 2013; 32
(2024061320505479000_c33) 2011; 8311
(2024061320505479000_c67) 2018; 35
(2024061320505479000_c51) 2019; 7
(2024061320505479000_c44) 2017; 42
2024061320505479000_c43
(2024061320505479000_c35) 2005; 30
(2024061320505479000_c68) 2018
(2024061320505479000_c6) 2019; 19
(2024061320505479000_c49) 2015; 27
(2024061320505479000_c73) 2015; 202
(2024061320505479000_c45) 2016; 24
(2024061320505479000_c15) 2013; 7
(2024061320505479000_c64) 2016; 64
(2024061320505479000_c79) 2017; 35
Bormann (2024061320505479000_c30) 2012
(2024061320505479000_c69) 2018; 215
(2024061320505479000_c18) 1981; 39
(2024061320505479000_c20) 2019; 9
(2024061320505479000_c53) 2019; 37
(2024061320505479000_c16) 2016; 78
(2024061320505479000_c39) 2017; 42
(2024061320505479000_c34) 2016; 24
(2024061320505479000_c54) 2011; 19
(2024061320505479000_c28) 2010; 178
(2024061320505479000_c47) 2018; 26
(2024061320505479000_c9) 1998; 37
(2024061320505479000_c10) 2009; 27
Lay (2024061320505479000_c29) 2009
(2024061320505479000_c38) 2017; 25
(2024061320505479000_c58) 2014; 62
(2024061320505479000_c77) 2019; 11199
(2024061320505479000_c66) 2018
(2024061320505479000_c70) 2018; 216
(2024061320505479000_c84) 2014; 9157
(2024061320505479000_c32) 2018; 361
(2024061320505479000_c56) 2018; 36
(2024061320505479000_c24) 2017; 107
(2024061320505479000_c23) 2017
(2024061320505479000_c80) 2017
(2024061320505479000_c55) 2019; 37
(2024061320505479000_c82) 2015; 33
(2024061320505479000_c60) 2014
(2024061320505479000_c26) 2014; 22
(2024061320505479000_c63) 2018
(2024061320505479000_c14); 2018
(2024061320505479000_c74) 2018; 89
(2024061320505479000_c36) 2013; 24
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Snippet Continuous, real-time monitoring of surface seismic activity around the globe is of great interest for acquiring new insight into global tomography analyses...
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Title Distributed acoustic sensing for seismic activity monitoring
URI http://dx.doi.org/10.1063/1.5139602
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