FR3.R10.1: Deep learning for denoising distributed acoustic sensing data
Liuqing Yang, China University of Petroleum (Beijing), China; Sergey Fomel, The University of Texas at Austin, United States; Shoudong Wang, Xiaohong Chen, China University of Petroleum (Beijing), China; Yunfeng Chen, Zhejiang University, China; Yangkang Chen, The University of Texas at Austin, United States
FR3.R10.2: GAUSSIAN PROCESS REGRESSION FOR WAVEFIELD PREDICTION AND VELOCITY INVERSION BASED ON SECOND-ORDER ACOUSTIC WAVE EQUATION
Zhaowei Bai, Tian Wang, Haixia Zhao, Xi’an Jiaotong University, China
FR3.R10.3: Supervised VS unsupervised deep learning full waveform inversion: a case study at CCUS site, San Juan NM
Hanchen Wang, Youzuo Lin, Shihang Feng, Peng Jin, Xitong Zhang, Los Alamos National Laboratory, United States; YInpeng Chen, Microsoft Research, United States; Rajesh Pawar, George Guthrie, Los Alamos National Laboratory, United States
FR3.R10.4: CHARACTERIZATION OF SLOW SLIP EVENTS FROM GNSS DATA WITH DEEP LEARNING}
Giuseppe Costantino, Sophie Giffard-Roisin, Université Grenoble Alpes, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, 38000 Grenoble, France, France; Mauro Dalla Mura, Université Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, 38000 Grenoble, France; Institut Universitaire de France (IUF), France, France; Anne Socquet, Université Grenoble Alpes, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, 38000 Grenoble, France, France
