Detection and Denoising of Microseismic Events Using Time–Frequency Representation and Tensor Decomposition

Detection and Denoising of Microseismic Events Using Time–Frequency Representation and Tensor Decomposition

Reliable detection and recovery of a microseismic event in large volume of passive monitoring data is usually a challenging task due to the low signal-to-noise ratio environment. The accuracy of weak microseismic event identification is a very important step in the analysis and interpretation of mic...

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Bibliographic Details
Main Authors: Naveed Iqbal, Entao Liu, James H. McClellan, Abdullatif Al-Shuhail, Sanlinn I. Kaka, Azzedine Zerguine
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Tensor decomposition
higher order singular values decomposition (HOSVD)
microseismic
denoising
detection
nuclear norm
Online Access:https://ieeexplore.ieee.org/document/8351950/

Internet

https://ieeexplore.ieee.org/document/8351950/

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