S057
Extracting Information from Geophysical Signals with Machine Learning III

Tuesday, 15 December 2020: 07:00-08:00
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:  Paul A Johnson, Los Alamos National Laboratory, Earth and Environmental Sciences: Geophysics (EES-17), Los Alamos, NM, United States and Ting Chen, Los Alamos National Laboratory, Los Alamos, NM, United States
OSPA Liaison:  Karianne J. Bergen, Stanford University, Institute for Computational and Mathematical Engineering, Stanford, CA, United States
07:00
Introductory Remarks
07:02
S057-01
Application of Dynamic Mode Decomposition with Control (DMDc) to cluster, characterize and extract information from acoustic signals (754190)
Charles Fieseler, University of Vienna, Vienna, Austria, Chven A Mitchell, Stanford University, Stanford, CA, United States, Nathan Kutz, University of Washington Seattle Campus, Applied Mathematics, Seattle, WA, United States, Chaoyi Wang, Purdue University, West Lafayette, 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
07:06
S057-02
Fault Time-to-Failure Forecasting using LSTM and Unsupervised Classification (748939)
Hope Abigail Jasperson, Rice University, Earth, Environmental and Planetary Sciences, Houston, TX, United States, David Chas Chas Bolton, Pennsylvania State University, University Park, PA, United States, Paul A Johnson, Los Alamos National Laboratory, Earth and Environmental Sciences: Geophysics (EES-17), Los Alamos, NM, United States, Chris Marone, Pennsylvania State University, Department of Geosciences, University Park, PA, United States and Maarten Dehoop, Rice University, Computational and applied mathematics, Houston, TX, United States
07:10
S057-03
Robotics and AI weave surface process narratives from rock geomorphology (Invited) (672362)
Jnaneshwar Das1, Zhiang Chen1, Tyler Scott2, Chelsea Scott2, Devin Keating1 and Ramon Arrowsmith3, (1)Arizona State University, School of Earth and Space Exploration, Tempe, AZ, United States, (2)Arizona State University, Tempe, AZ, United States, (3)Arizona State Univ, Tempe, AZ, United States
07:14
S057-04
Seismic or aseismic: a machine learning approach to classification of frictional fault systems (699255)
Ehsan Haghighat, Maryam Alghannam and Ruben Juanes, Massachusetts Institute of Technology, Cambridge, MA, United States
07:18
S057-05
The Transformer Earthquake Alerting Model: Improving Earthquake Early Warning with Deep Learning (723799)
Jannes Münchmeyer1,2, Dino Bindi1, Ulf Leser2 and Frederik J Tilmann1,3, (1)Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Geophysics, Potsdam, Germany, (2)Humboldt University of Berlin, Computer Science, Berlin, Germany, (3)Freie Universität Berlin, Berlin, Germany
07:22
S057-06
Earthquake Early Warning with Deep Learning: Application to the 2016 Central Apennines, Italy Earthquake Sequence (695992)
Xiong Zhang1, Miao Zhang2 and Xiao Tian1, (1)East China University of Technology, Nanchang, China, (2)Dalhousie University, Department of Earth and Environmental Sciences, Halifax, NS, Canada
07:26
S057-07
Sequencing Geophysical Signals to Glean Structural Insights (766153)
Vedran Lekic1, Brice Menard2 and Doyeon Kim1, (1)University of Maryland College Park, Department of Geology, College Park, MD, United States, (2)Johns Hopkins University, Department of Physics and Astronomy, Baltimore, MD, United States
07:30
S057-08
Tips and Tricks for Improving Seismic Facies Classification and Estimating Uncertainty (718436)
Xingyu Yan, China University of Geosciences, Wuhan, China and Hanming Gu, Advisor, China University of Geosciences, Wuhan, China
07:34
Discussion
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