TU2.R10.3
ANOMALY DETECTION USING DISTRIBUTED ACOUSTIC SENSING
Gustav Hylsberg Jacobsen, Sebastian Zimmer Lefmann, Sofie Groth Dige, Bjarni Olsen, Kristian Aalling Sørensen, Hasse Bülow Pedersen, Technical University of Denmark, Denmark
Session:
TU2.R10: Machine learning applications in seismic data processing and imaging Oral
Track:
Community Contributed Themes
Location:
Gunston
Presentation Time:
Tuesday, 11 August, 11:30 - 11:45
Session Co-Chairs:
Sergey Fomel, University of Texas at Austin and Yangkang Chen, University of Texas at Austin
Presentation
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Discussion
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Session TU2.R10
TU2.R10.1: A DEEP LEARNING BASED WORKFLOW FOR MULTICOMPONENT SEISMIC DATA REGISTRATION
S M Shamsul Hoque, Rui Zhang, University of Louisiana at Lafayette, United States; Md. Safirur Rashid, Islamic University of Technology, Bangladesh
TU2.R10.2: WHEN BIGGER IS NOT BETTER: EFFICIENT EARTHQUAKE DETECTION WITH MHATT
Garrett Cayce, O.S.C.A.R. Lab, United States; Arthur Depoian, j8i, United States; Colleen Bailey, O.S.C.A.R. Lab, United States
TU2.R10.3: ANOMALY DETECTION USING DISTRIBUTED ACOUSTIC SENSING
Gustav Hylsberg Jacobsen, Sebastian Zimmer Lefmann, Sofie Groth Dige, Bjarni Olsen, Kristian Aalling Sørensen, Hasse Bülow Pedersen, Technical University of Denmark, Denmark
Resources
No resources available.