S052
Extracting Information from Geophysical Signals with Machine Learning IV Posters

Tuesday, 15 December 2020: 04:00-20:59
Poster
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 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:  Christian Poppeliers, Georgia Regents University, Augusta, GA, United States
 
Application of a Paired Neural Network to Aftershock Identification (672899)
Andrea C Conley nee Gallegos, Benjamin Greene and Brendan Donohoe, Sandia National Laboratories, Albuquerque, NM, United States
 
Application of machine learning in seismic array processing (751293)
Yuqing Xie1, Tong Zhou2, Lingsen Meng1 and Tian Feng3, (1)University of California Los Angeles, Earth, Planetary and Space Science, Los Angeles, CA, United States, (2)Michigan State University, Department of Computational Mathematics, Science and Engineering, East Lansing, MI, United States, (3)University of California Los Angeles, Los Angeles, CA, United States
 
Deep Learning for Site Response Estimation from Geotechnical Array Data (773634)
Daniel Roten, San Diego State University, San Diego, CA, United States and Kim Bak Olsen, San Diego State Univ, San Diego, CA, United States
 
Deep learning of the precursory signatures in active source seismic data for improved prediction of laboratory earthquake (727670)
Parisa Shokouhi1, Vrushali Sanjay Girkar2, Alireza Sepehrinezhad2, Srisharan Shreedharan3, Jacques Riviere4, Chris Marone5 and Daniel Kifer6, (1)Pennsylvania State University Main Campus, Engineering Science and Mechanics, University Park, PA, United States, (2)Pennsylvania State University, University Park, United States, (3)Pennsylvania State University Main Campus, University Park, PA, United States, (4)Pennsylvania State University, Engineering Science and Mechanics, University Park, PA, United States, (5)Pennsylvania State University, Department of Geosciences, University Park, PA, United States, (6)Pennsylvania State University Main Campus, Department of Computer Science & Engineering, University Park, PA, United States
 
Detecting and Clustering Seismic Signals with Datasets from a Single Station located in Southern California by Unsupervised Deep Learning. (667952)
Soyoun Son, University Grenoble Alpes, Grenoble, France, Leonard Seydoux, Université Grenoble Alpes, Science de la terre, Grenoble, France and Michel Campillo, Univ Joseph Fourier and CNRS, Grenoble, France
 
Seismic Waveform Separation using Signal Processing Strategies from the field of Music Information Retrieval (682675)
Zahra Zali1, Matthias M Ohrnberger1, Frank Scherbaum1, Fabrice Cotton2 and Eva P. S. Eibl1, (1)University of Potsdam, Potsdam, Germany, (2)Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany
 
Separation and denoising of seismically-induced ground-motion signals with dual path residual neural network architecture. (696821)
Artemii Novoselov, University of Vienna, Vienna, Austria, Götz Bokelmann, University of Vienna, Department of Meteorology and Geophysics, Vienna, Austria, Gerrit Hein, University of Vienna, Meteorology and Geophysics, Vienna, Austria and Peter Balazs, Acoustics Research Institute Vienna, Vienna, Austria
 
AUTOMATIC DETECTION AND CLASSIFICATION OF MICROSEISMIC EVENTS FROM SUPER-SAUZE LANDSLIDE USING CONVOLUTIONAL NEURAL NETWORKS (700714)
Jiaxin Jiang1, Lina Stankovic2, Vladimir Stankovic2 and Stella Pytharouli2, (1)University of Strathclyde, Glasgow, G4, United Kingdom, (2)University of Strathclyde, Glasgow, United Kingdom
 
Efficient P-wave detection in real time for Earthquake Early Warning System based on Artificial Intelligence (679218)
Pablo Eduardo Espinoza Lara1, Adolfo Inza1, Hernando Tavera1 and Carlos Alexandre Rolim Fernandes2, (1)Instituto Geofisico del Peru, Lima, Peru, (2)Universidade Federal do Ceara, Sobral, Brazil
 
A Generic Machine Learning Procedure for Detecting Seismic Events (751617)
Xiaofei Ma and Ting Chen, Los Alamos National Laboratory, Los Alamos, NM, United States
 
An Earthquake Detection Algorithm for Local Seismic Monitoring of Underground Caverns: The Sorrento Salt Dome, Louisiana Case Study (687309)
Joses Omojola1, Patricia Persaud2, Rufus Catchings3, Justin O'Neil Kain2 and Mark Goldman4, (1)Louisiana State University, Baton Rouge, LA, United States, (2)Louisiana State University, Department of Geology and Geophysics, Baton Rouge, LA, United States, (3)USGS, Earthquake Science Center, Menlo Park, CA, United States, (4)US Geological Survey, Earthquake Science Center, Mountain View, CA, United States
 
Combining CNN and RNN in seismic phase picking (742611)
Tian Feng, University of California Los Angeles, Los Angeles, CA, United States and Lingsen Meng, University of California Los Angeles, Earth, Planetary, and Space Sciences, Los Angeles, CA, United States
 
Deep Learning Denoising Applied to the University of Utah Seismic Stations Network Data (670304)
Rigobert Tibi1, Patrick Hammond1, Ronald Brogan2, Christopher J Young1 and Keith D. Koper3, (1)Sandia National Laboratories, Albuquerque, NM, United States, (2)ENSCO, Inc, Melbourne, FL, United States, (3)University of Utah, Department of Geology and Geophysics, Salt Lake City, UT, United States
 
Deep Learning Enhanced Seismic Catalog for Oklahoma (699272)
Chengping Chai1, Monica Maceira1, Ting Chen2 and Xiaofei Ma2, (1)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (2)Los Alamos National Laboratory, Los Alamos, NM, United States
 
Detection and location of aftershocks of the 2020 Western Idaho earthquake using neural networks (682389)
Bingxu Luo, University of Texas at Dallas, Geoscience, Richardson, TX, United States, Hejun Zhu, University of Texas at Dallas, Geosicences, Richardson, United States and Jidong Yang, China University of Petroleum (East China), Department of Geophysics, Qingdao, China
 
Earthquake Detection in Slowly Deforming Iberia using a Convolutional Neural Network Phase Picker (696892)
Miguel Neves, Georgia Institute of Technology Main Campus, Atlanta, GA, United States, Zhigang Peng, Georgia Institute of Technology, School of Earth and Atmospheric Sciences, Atlanta, United States and Susana Custodio, IDL - Instituto Dom Luiz, Lisboa, Portugal
 
Understanding the Role of Geospatial Factors and Fluid Injection on Induced Seismicity in Oklahoma using Random Forests (664137)
Avipsa Roy1, Ting Chen2 and Emily Michele Casleton2, (1)Arizona State University, School of Geographical Sciences and Urban Planning, Tempe, AZ, United States, (2)Los Alamos National Laboratory, Los Alamos, NM, United States
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