S056
Extracting Information from Geophysical Signals with Machine Learning II

Tuesday, 15 December 2020: 05:30-06:30
Virtual
Primary Convener:  Ting Chen, Los Alamos National Laboratory, Los Alamos, NM, United States
Conveners:  Laura J Pyrak-Nolte, Purdue University, Department of Physics and Astronomy; Department of Earth, Atomospheric and Planetary Sciences; Lyles School of Civil Engineering, West Lafayette, IN, United States, Paul A Johnson, Los Alamos National Laboratory, Earth and Environmental Sciences: Geophysics (EES-17), Los Alamos, NM, United States and Gregory C Beroza, Stanford University, Department of Geophysics, Stanford, CA, United States
Primary Liaison:  Ting Chen, Los Alamos National Laboratory, Los Alamos, NM, United States
Chairs:  Gregory C Beroza, Stanford University, Department of Geophysics, Stanford, CA, United States and Laura J Pyrak-Nolte, Purdue University, Department of Physics and Astronomy; Department of Earth, Atomospheric and Planetary Sciences; Lyles School of Civil Engineering, West Lafayette, IN, United States
OSPA Liaison:  Chengping Chai, Pennsylvania State University Main Campus, Department of Geosciences, University Park, PA, United States
05:30
Introductory Remarks
05:32
S056-01
Estimating earthquake magnitude and location from prompt elasto-gravity signal using deep learning (736775)
Andrea Licciardi, Université Côte d'Azur, CNRS, OCA, IRD, Géoazur, Sophia Antipolis, France, Quentin Bletery, Université Côte d'Azur, CNRS, OCA, IRD, Géoazur, Valbonne, France, Bertrand Rouet-Leduc, Los Alamos National Laboratory, Los Alamos, NM, United States, Jean-Paul Ampuero, Université Côte d’Azur, CNRS, Observatoire de la Côte d’Azur, IRD, Géoazur, Valbonne, France and Kévin Juhel, Institut de Physique du Globe de Paris, Paris, France
05:36
S056-02
Assessing the Efficacy of Machine Learning Algorithms to Denoise Seismic Data (758941)
Claire Doody1, Qingkai Kong1,2 and Richard M Allen1,3, (1)University of California Berkeley, Berkeley, CA, United States, (2)UC Berkeley Seismological Laboratory, Berkeley, CA, United States, (3)UC Berkeley Seismology Lab, Berkeley, CA, United States
05:40
S056-03
Deep-Learning-Based Denoising for Earthquake Monitoring in an Urban Setting with Dense Array Data (741424)
Lei Yang, Xin Liu, Weiqiang Zhu and Gregory C Beroza, Stanford University, Department of Geophysics, Stanford, CA, United States
05:44
S056-04
EikoNet: Solving the Eikonal equation with Deep Neural Networks, with applications to hypocenter inversion, seismic tomography, and multi-pathing (672234)
Jonathan Daniel Smith, California Institute of Technology, Division of Geological and Planetary Sciences, Pasadena, CA, United States, Kamyar Azizzadenesheli, California Institute of Technology, Pasadena, CA, United States and Zachary E. Ross, California Institute of Technology, Seismological Laboratory, Pasadena, CA, United States
05:48
S056-05
Semi-supervised Data-driven Surface Wave Tomography using Wasserstein Cycle-consistent GAN: Application on Southern California Plate Boundary Region (767611)
Ao Cai, Hongrui Qiu and Fenglin Niu, Rice University, Earth, Environmental and Planetary Sciences, Houston, TX, United States
05:52
S056-06
LEVERAGING STOCHASTIC SEISMIC INVERSION FOR RESERVOIR PROPERTY ESTIMATION VIA NEURAL NETWORK PREDICTION AND STATISTICAL MODELING IN THE VOLVE FIELD, NORTH SEA. (772046)
Ayodeji Babalola, iXblue, Houston, TX, United States
05:56
S056-07
A deep Learning approach for detecting transient deformation in InSAR (Invited) (709566)
Bertrand Rouet-Leduc, Los Alamos National Laboratory, Los Alamos, NM, United States, Romain Jolivet, Ecole Normale Supérieure, PSL Research University, CNRS UMR 8538, Laboratoire de Géologie, Paris, France, Manon Dalaison, Ecole Normale Supérieure Paris, Paris, France, Paul A Johnson, Los Alamos National Laboratory, Earth and Environmental Sciences: Geophysics (EES-17), Los Alamos, NM, United States and Claudia Hulbert, Los Alamos National Laboratory, Earth and Environmental Sciences, Los Alamos, NM, United States
06:00
S056-08
GAN and U-net abilities to automate tectonic fault mapping in remote sensing optical images (691478)
Bahram Jafrasteh1,2, Isabelle Manighetti1 and Josiane Zerubia2, (1)Université Côte d’Azur, Géoazur, Sophia Antipolis, France, (2)INRIA, Université Côte d’Azur, Sophia Antipolis, France
06:04
Discussion
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