Machine learning-assisted processing workflow for multi-fiber DAS microseismic data

Machine learning-assisted processing workflow for multi-fiber DAS microseismic data

In recent years, Distributed Acoustic Sensing (DAS) deployed in deviated wells has been increasingly used for microseismic monitoring. DAS can provide observations of microseismic wavefields with high spatial resolution and wide aperture, at the cost of unusually large data volumes compared with con...

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Bibliographic Details
Main Authors: Yuanyuan Ma, David Eaton, Nadine Igonin, Chaoyi Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Earth Science
Subjects:
distributed acoustic sensing (DAS)
data analysis
microseismic (MS) monitoring
machine learning (ML)
event detection
arrival time picking
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2023.1096212/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2023.1096212/full

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