气候变化领域集成服务门户(CCPortal): Using a Deep Neural Network and Transfer Learning to Bridge Scales for Seismic Phase Picking

CCPortal

DOI	10.1029/2020GL088651
	Using a Deep Neural Network and Transfer Learning to Bridge Scales for Seismic Phase Picking
	Chai C.; Maceira M.; Santos-Villalobos H.J.; Venkatakrishnan S.V.; Schoenball M.; Zhu W.; Beroza G.C.; Thurber C.
发表日期	2020
ISSN	0094-8276
卷号	47 期号:16
英文摘要	The important task of tracking seismic activity requires both sensitive detection and accurate earthquake location. Approximate earthquake locations can be estimated promptly and automatically; however, accurate locations depend on precise seismic phase picking, which is a laborious and time-consuming task. We adapted a deep neural network (DNN) phase picker trained on local seismic data to mesoscale hydraulic fracturing experiments. We designed a novel workflow, transfer learning-aided double-difference tomography, to overcome the 3 orders of magnitude difference in both spatial and temporal scales between our data and data used to train the original DNN. Only 3,500 seismograms (0.45% of the original DNN data) were needed to retrain the original DNN model successfully. The phase picks obtained with transfer-learned model are at least as accurate as the analyst's and lead to improved event locations. Moreover, the effort required for picking once the DNN is trained is a small fraction of the analyst's. ©2020. The Authors.
英文关键词	Deep learning; Deep neural networks; Earthquakes; Location; Transfer learning; Accurate location; Double-difference tomography; Earthquake location; Orders of magnitude; Seismic activity; Sensitive detection; Spatial and temporal scale; Time-consuming tasks; Neural networks; accuracy assessment; artificial neural network; automation; earthquake magnitude; hydraulic fracturing; machine learning; seismic data; seismogram; spatiotemporal analysis
语种	英语
来源期刊	Geophysical Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/169930
作者单位	Oak Ridge National Laboratory, Oak Ridge, TN, United States; Department of Physics and Astronomy, University of Tennessee, Knoxville, Knoxville, TN, United States; Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Department of Geophysics, Stanford University, Stanford, CA, United States; Department of Geoscience, University of Wisconsin-Madison, Madison, WI, United States
推荐引用方式 GB/T 7714	Chai C.,Maceira M.,Santos-Villalobos H.J.,et al. Using a Deep Neural Network and Transfer Learning to Bridge Scales for Seismic Phase Picking[J],2020,47(16).
APA	Chai C..,Maceira M..,Santos-Villalobos H.J..,Venkatakrishnan S.V..,Schoenball M..,...&Thurber C..(2020).Using a Deep Neural Network and Transfer Learning to Bridge Scales for Seismic Phase Picking.Geophysical Research Letters,47(16).
MLA	Chai C.,et al."Using a Deep Neural Network and Transfer Learning to Bridge Scales for Seismic Phase Picking".Geophysical Research Letters 47.16(2020).