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 Rashidb, Islamic University of Technology, Bangladesh
Session:
TU2.R10: Machine learning applications in seismic data processing and imaging Oral
Track:
Community Contributed Themes
Location:
Gunston
Presentation Time:
Tuesday, 11 August, 11:00 - 11:15
Session Co-Chairs:
Sergey Fomel, University of Texas at Austin and Yangkang Chen, UT Austin
Presentation
Discussion
Resources
No resources available.
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 Rashidb, Islamic University of Technology, Bangladesh
TU2.R10.3: WHEN BIGGER IS NOT BETTER: EFFICIENT EARTHQUAKE DETECTION WITH MHATT
Garrett Cayce, O.S.C.A.R. Lab, United States; Arthur Depoian, Data Engineers North Texas, United States; Colleen Bailey, O.S.C.A.R. Lab, United States
TU2.R10.4: ANOMALY DETECTION USING DISTRIBUTED ACOUSTIC SENSING
Gustav Hylsberg Jacobsen, Sebastia Zimmer Lefmann, Sofie Groth Dige, Bjarni Olsen, Kristian Aalling Sørensen, Hasse Bülow Pedersen, Technical University of Denmark, Denmark
Resources
No resources available.