Machine learning in seismology: Turning data into insights

Q Kong, DT Trugman, ZE Ross… - Seismological …, 2019 - pubs.geoscienceworld.org
This article provides an overview of current applications of machine learning (ML) in
seismology. ML techniques are becoming increasingly widespread in seismology, with …

Stress chatter via fluid flow and fault slip in a hydraulic fracturing‐induced earthquake sequence in the Montney Formation, British Columbia

AF Peña Castro, MP Roth, A Verdecchia… - Geophysical …, 2020 - Wiley Online Library
Source processes of injection‐induced earthquakes involve complex fluid‐rock interaction
often elusive to regional seismic monitoring. Here we combine observations from a local …

Unsupervised deep clustering of seismic data: Monitoring the Ross Ice Shelf, Antarctica

WF Jenkins, P Gerstoft, MJ Bianco… - Journal of Geophysical …, 2021 - Wiley Online Library
Advances in machine learning (ML) techniques and computational capacity have yielded
state‐of‐the‐art methodologies for processing, sorting, and analyzing large seismic data …

Spatial‐temporal evolution of injection‐induced earthquakes in the Weiyuan Area determined by machine‐learning phase picker and waveform cross‐correlation

WCJ Wong, JP Zi, HF Yang… - Earth and Planetary …, 2021 - Wiley Online Library
Anthropogenic induced seismicity has been widely reported and investigated in many
regions, including the shale gas fields in the Sichuan basin, where the frequency of …

A detailed view of the 2020–2023 Southwestern Puerto Rico seismic sequence with deep learning

CE Yoon, ES Cochran… - Bulletin of the …, 2023 - pubs.geoscienceworld.org
ABSTRACT The 2020–2023 southwestern Puerto Rico seismic sequence, still ongoing in
2023, is remarkable for its multiple‐fault rupture complexity and elevated aftershock …

Earthquakes track subduction fluids from slab source to mantle wedge sink

F Halpaap, S Rondenay, A Perrin, S Goes… - Science …, 2019 - science.org
Subducting plates release fluids as they plunge into Earth's mantle and occasionally rupture
to produce intraslab earthquakes. It is debated whether fluids and earthquakes are directly …

Illuminating the pre‐, co‐, and post‐seismic phases of the 2016 M7. 8 Kaikōura earthquake with 10 years of seismicity

CJ Chamberlain, WB Frank, F Lanza… - Journal of …, 2021 - Wiley Online Library
Abstract The 2016 M7. 8 Kaikōura earthquake is one of the most complex earthquakes in
recorded history, with significant rupture of at least 21 crustal faults. Using a matched‐filter …

Applications of shapelet transform to time series classification of earthquake, wind and wave data

M Arul, A Kareem - Engineering Structures, 2021 - Elsevier
Autonomous detection of desired events from large databases using time series
classification is becoming increasingly important in civil engineering as a result of continued …

Fast matched filter (FMF): An efficient seismic matched‐filter search for both CPU and GPU architectures

E Beaucé, WB Frank… - Seismological …, 2018 - pubs.geoscienceworld.org
Matched‐filter searches are an important tool in modern seismology to detect seismic
events. They operate via an algorithm that computes the correlation coefficient between a …

Misconception of waveform similarity in the identification of repeating earthquakes

D Gao, H Kao, B Wang - Geophysical Research Letters, 2021 - Wiley Online Library
Identification of repeating earthquakes (repeaters) usually depends on waveform similarity
expressed as the corresponding cross‐correlation coefficient (CC) above a prescribed …