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dc.contributor.author
van Herwaarden, Dirk-Philip
dc.contributor.author
Afanasiev, Michael
dc.contributor.author
Thrastarson, Sölvi
dc.contributor.author
Fichtner, Andreas
dc.date.accessioned
2020-12-17T07:22:42Z
dc.date.available
2020-11-29T03:53:36Z
dc.date.available
2020-11-30T15:25:22Z
dc.date.available
2020-12-17T07:22:42Z
dc.date.issued
2021-01
dc.identifier.issn
0956-540X
dc.identifier.issn
1365-246X
dc.identifier.other
10.1093/gji/ggaa459
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/453638
dc.identifier.doi
10.3929/ethz-b-000453638
dc.description.abstract
We present a new approach to full-waveform inversion (FWI) that enables the assimilation of data sets that expand over time without the need to reinvert all data. This evolutionary inversion rests on a reinterpretation of stochastic Limited-memory Broyden–Fletcher–Goldfarb–Shanno (L-BFGS), which randomly exploits redundancies to achieve convergence without ever considering the data set as a whole. Specifically for seismological applications, we consider a dynamic mini-batch stochastic L-BFGS, where the size of mini-batches adapts to the number of sources needed to approximate the complete gradient. As an illustration we present an evolutionary FWI for upper-mantle structure beneath Africa. Starting from a 1-D model and data recorded until 1995, we sequentially add contemporary data into an ongoing inversion, showing how (i) new events can be added without compromising convergence, (ii) a consistent measure of misfit can be maintained and (iii) the model evolves over times as a function of data coverage. Though applied retrospectively in this example, our method constitutes a possible approach to the continuous assimilation of seismic data volumes that often tend to grow exponentially.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Oxford University Press
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Inverse theory
en_US
dc.subject
Waveform inversion
en_US
dc.subject
Computational seismology
en_US
dc.subject
Seismic tomography
en_US
dc.title
Evolutionary full-waveform inversion
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2020-09-26
ethz.journal.title
Geophysical Journal International
ethz.journal.volume
224
en_US
ethz.journal.issue
1
en_US
ethz.journal.abbreviated
Geophys. j. int.
ethz.pages.start
306
en_US
ethz.pages.end
311
en_US
ethz.size
6 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.scopus
ethz.publication.place
Oxford
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02330 - Dep. Erdwissenschaften / Dep. of Earth Sciences::02506 - Institut für Geophysik / Institute of Geophysics::03971 - Fichtner, Andreas / Fichtner, Andreas
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02330 - Dep. Erdwissenschaften / Dep. of Earth Sciences::02506 - Institut für Geophysik / Institute of Geophysics::03971 - Fichtner, Andreas / Fichtner, Andreas
ethz.date.deposited
2020-11-29T03:53:41Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-11-30T15:25:33Z
ethz.rosetta.lastUpdated
2021-02-15T22:34:18Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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