FR4.R10.1

EARTHQUAKE SOURCE CHARACTERIZATION WITH DISTRIBUTED ACOUSTIC SENSING AND MACHINE LEARNING

Jiaxuan Li, Weiqiang Zhu, Ettore Biondi, Zhongwen Zhan, California Institute of Technology, United States
Session:
FR4.R10: Geophysical Data Analysis and Inversion in the Era of Artificial Intelligence II Oral
Track:
Community-Contributed Sessions
Location:
Room 101
Presentation Time:
Fri, 21 Jul, 15:45 - 15:57 Pacific Time (UTC -8)
Session Chair:
Sergey Fomel, The University of Texas at Austin
Session Manager:
NIMA ESMAEILZADEH
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Session FR4.R10
FR4.R10.1: EARTHQUAKE SOURCE CHARACTERIZATION WITH DISTRIBUTED ACOUSTIC SENSING AND MACHINE LEARNING
Jiaxuan Li, Weiqiang Zhu, Ettore Biondi, Zhongwen Zhan, California Institute of Technology, United States
FR4.R10.2: Accelerated time reversal imaging of earthquake hypocenters with Neural Operators
Hongyu Sun, Yan Yang, Robert W. Clayton, Zachary E. Ross, California Institute of Technology, United States; Kamyar Azizzadenesheli, Nvidia Corporation, United States
FR4.R10.3: SEISMIC DATA RANDOM NOISE ATTENUATION USING VISIBLE BLIND SPOT SELF-SUPERVISED LEARNING
Zitai Xu, Bangyu Wu, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shanxi, 710049, China, China; Hui Yang, Guangdong Provincial Key Laboratory of Geophysical High-resolution Imaging Technology, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, China, China
FR4.R10.4: HYBRID LOSS GUIDED 2D MULTI-TASK FULL ATTENTION U-NET FOR PRESTACK SEISMIC INVERSION
Xudong Liu, Bangyu Wu, Xi’an Jiaotong University, China; Hui Yang, Southern University of Science and Technology, China
FR4.R10.5: EFFECTS OF SAMPLING STRATEGIES AND OPTIMIZATION METHODS ON SOLVING WAVE EQUATION WITH PHYSICS-INFORMED NEURAL NETWORK
Tian Wang, Zhaowei Bai, Haixia Zhao, Xi'an Jiaotong University, China
Resources
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