S064
Theoretical and Computational Advances in Seismology V Posters

Wednesday, 16 December 2020: 04:00-20:59
Poster
Primary Convener:  Andreas Fichtner, ETH Zurich, Zurich, Switzerland
Conveners:  Carene S Larmat, Los Alamos National Laboratory, EES-17, Los Alamos, NM, United States, Monica Maceira, Oak Ridge National Laboratory, Oak Ridge, TN, United States and Ettore Biondi, Stanford University, Geophysics, Stanford, CA, United States
Primary Liaison:  Andreas Fichtner, ETH Zurich, Department of Earth Sciences, Institute of Geophysics, Zurich, Switzerland
Chairs:  Carene S Larmat, Los Alamos National Laboratory, EES-17, Los Alamos, NM, United States and Ettore Biondi, Stanford University, Geophysics, Stanford, CA, United States
OSPA Liaison:  Ettore Biondi, Stanford University, Geophysics, Stanford, CA, United States
 
3D Full Waveform Inversion for Laterally Varying Layered Media (734162)
Michael Alex Zuev, WaveLab, San Rafael, CA, United States, Petr Petrov, Lawrence Berkeley National Laboratory, Berkeley, CA, United States and Magomed Magomedov, WaveLab, Mill Valley, CA, United States
 
A General Approach to Seismic Inversion with Automatic Differentiation and Neural Networks (745135)
Weiqiang Zhu1, Kailai Xu2, Eric F Darve3 and Gregory C Beroza1, (1)Stanford University, Department of Geophysics, Stanford, CA, United States, (2)Stanford University, Institute for Computational and Mathematical Engineering, Stanford, United States, (3)Stanford University, Mechanical Engineering, Stanford, CA, United States
 
Adjoint tomography of teleseismic direct P and coda waves for high-resolution lithosphere structure: methodology and application (717390)
Kai Wang1, Yingjie Yang1, Qinya Liu2, Yi WANG3 and Ping Tong4, (1)Macquarie University, ARC Centre of Excellence for Core to Crust Fluid Systems and GEMOC, Sydney, NSW, Australia, (2)University of Toronto, Toronto, ON, Canada, (3)Sun Yat-Sen University, School of Earth Science and Engineering, Guangzhou, China, (4)Nanyang Technological University, Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Singapore, Singapore
 
Building seismic velocity and attenuation models using Hessian-based multiparameter viscoacoustic full waveform inversion (683997)
Guangchi Xing, Pennsylvania State University Main Campus, University Park, PA, United States and Tieyuan Zhu, Pennsylvania State University, Department of Geosciences, University Park, PA, United States
 
Computation of Hessian Vector Product by Spectral-Element and Adjoint Methods Using Wavefield Storage Scheme (731838)
Lei Li1, Yujiang Xie2, Catherine Rychert2, Nicholas Harmon2, Petros Bogiatzis3 and Daniel B Peter4, (1)Central South University, Changsha, China, (2)University of Southampton, Ocean and Earth Science, Southampton, United Kingdom, (3)University of Southampton, Southampton, SO14, United Kingdom, (4)ETH Zurich, Zurich, Switzerland
 
Efficient Wavefield Reconstruction Inversion using Plane-wave in Frequency Domain (688933)
Sumin Kim1, Wookeen Chung2 and Sungryul Shin2, (1)Korea Maritime and Ocean University, Busan, Korea, Republic of (South), (2)Korea Maritime and Ocean University, Busan, South Korea
 
Full Waveform Inversion using modified Softplus Objective Function (717724)
Dawoon Lee1, Wookeen Chung2 and Sungryul Shin2, (1)Korea Maritime and Ocean University, Busan, Korea, Republic of (South), (2)Korea Maritime and Ocean University, Busan, South Korea
 
HMCtomo: Gradient-based sampling and physical models for large-scale Bayesian geophysical inference (757633)
Lars Gebraad1, Andrea Zunino2, Andreas Fichtner1 and Klaus Mosegaard3, (1)ETH Zurich, Department of Earth Sciences, Institute of Geophysics, Zurich, Switzerland, (2)Niels Bohr Institute - University of Copenhagen, København Ø, Denmark, (3)Niels Bohr Institute - University of Copenhagen, Copenhagen, Denmark
 
Implementation of perfectly matched layer (PML) boundary condition for curvilinear grids in the SPECFEM3D package (748036)
Qinya Liu1, Tianshi Liu2, Bin He1, Kai Wang3, Yingjie Yang3, Yujiang Xie4, Catherine Rychert4 and Nicholas Harmon4, (1)University of Toronto, Department of Physics, Toronto, ON, Canada, (2)University of Toronto, Department of Earth Sciences, Toronto, ON, Canada, (3)Macquarie University, ARC Centre of Excellence for Core to Crust Fluid Systems and GEMOC, Sydney, NSW, Australia, (4)University of Southampton, Ocean and Earth Science, Southampton, United Kingdom
 
Ray-free and wave-equation-free seismic traveltime tomography (731234)
Ping Tong, Nanyang Technological University, Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Singapore, Singapore
 
Stepwise joint inversion for 1-D crustal Vp/Vs structure using surface wave dispersion, Rayleigh wave ZH ratio, and receiver function data (731252)
Hanxiao Wu, University of Science and Technology of China, Hefei, China, Ping Zhang, Australian National University, Canberra, Australia and Huajian Yao, University of Science and Technology of China, School of Earth and Space Sciences, Hefei, China
 
Machine Learning for the Imaging of Sparse Seismic Data in Blocky Subsurface Models (670443)
Jiayuan Huang and Robert L Nowack, Purdue University, Dept. of Earth Atmospheric and Planetary Sci., West Lafayette, IN, United States
 
SymAE: redatuming timelapse data to create virtual baseline sources in the monitoring medium (703061)
Pawan Bharadwaj, Matt Li and Laurent Demanet, Massachusetts Institute of Technology, Cambridge, MA, United States
 
Mimetic Modeling of Anisotropic Elastic Waves (772704)
Angel Boada Velazco1, Christopher Paolini2 and Jose Castillo2, (1)San Diego State University, San Diego, CA, United States, (2)San Diego State University, Computational Science Research Center, San Diego, CA, United States
 
Radially anisotropic 3-D S-wave model using multi-mode surface waves: Comparisons of linearized and nonlinear Bayesian approaches (770929)
Kazunori Yoshizawa, Hokkaido University, Department of Earth & Planetary Sciences, Faculty of Science, Sapporo, Japan and Toru Taira, Hokkaido University, Department of Natural History Sciences, Graduate School of Science, Sapporo, Japan; Japan Oil, Gas and Metals National Corporation (JOGMEC), Tokyo, Japan
 
Seismic Inversion by Hybrid Machine Learning (679512)
Yuqing Chen and Erdinc Saygin, Deep Earth Imaging Future Science Platform, CSIRO, Perth, WA, Australia
 
Seismic wavefield and traveltime modeling using machine learned functions (690444)
Umair bin Waheed1, Tariq Alkhalifah2, Chao Song2 and Ehsan Haghighat3, (1)King Fahd University of Petroleum & Minerals, Dhanran, Saudi Arabia, (2)King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, (3)Massachusetts Institute of Technology, Cambridge, MA, United States
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