Advances in Fiber-optic Distributed Acoustic Sensors

Author(s):  
Zuyuan He ◽  
Qingwen Liu ◽  
Dian Chen
Keyword(s):  
1989 ◽  
Vol 28 (2) ◽  
pp. 1-6 ◽  
Author(s):  
N. Lagakos ◽  
J. Bucaro
Keyword(s):  

2008 ◽  
Author(s):  
Dae-Cheol Seo ◽  
Il-Bum Kwon ◽  
Chi-Yeop Kim ◽  
Dong-Jin Yoon

2019 ◽  
Vol 14 (4) ◽  
pp. 464-469 ◽  
Author(s):  
Sekip-Esat Hayber ◽  
Timucin-Emre Tabaru ◽  
Umut Aydemir ◽  
Omer-Galip Saracoglu

1999 ◽  
Author(s):  
Hai Xiao ◽  
Paul G. Duncan ◽  
Jiangdong Deng ◽  
Wei Huo ◽  
Zhiguang Wang ◽  
...  
Keyword(s):  

Author(s):  
Xinyu Fan ◽  
Zuyuan He ◽  
Qingwen Liu ◽  
Dian Chen ◽  
Shuai Wang ◽  
...  
Keyword(s):  

2020 ◽  
Vol 39 (7) ◽  
pp. 513-517
Author(s):  
Roman Pevzner ◽  
Boris Gurevich ◽  
Anastasia Pirogova ◽  
Konstantin Tertyshnikov ◽  
Stanislav Glubokovskikh

Well-based technologies for seismic subsurface monitoring increasingly utilize fiber-optic cables installed in boreholes as distributed acoustic sensing (DAS) systems. A DAS cable allows measuring linear strain of the fiber and can serve as an array of densely spaced seismic receivers. The strain amplitudes recorded by the DAS cable depend on the near-well formation properties (the softer the medium, the larger the strain). Thus, these properties can be estimated by measuring relative variations of the amplitudes of seismic waves propagating along the well. An advantage of such an approach to subsurface characterization and monitoring is that no active seismic source is required. Passive sources such as earthquakes can be utilized. A synthetic data example demonstrates viability of the approach for monitoring of small-scale CO2 injection into an aquifer. Two field DAS data examples based on signal recordings from several distant earthquakes show that the relevant properties of the near-well formation can be estimated with an accuracy of approximately 5%.


2018 ◽  
Vol 38 (3) ◽  
pp. 0328015
Author(s):  
陈珂 Chen Ke ◽  
袁帅 Yuan Shuai ◽  
宫振峰 Gong Zhenfeng ◽  
于清旭 Yu Qingxu

Author(s):  
Zuyuan He ◽  
Qingwen Liu ◽  
Xinyu Fan ◽  
Dian Chen ◽  
Shuai Wang ◽  
...  
Keyword(s):  

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