Surrogate regression modelling for fast seismogram generation and detection of microseismic events in heterogeneous velocity models

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Authors
Das, S
Chen, X
Hobson, MP
Phadke, S
van Beest, B
Goudswaard, J
Hohl, D
Publication Date
2018
Journal Title
Geophysical Journal International
ISSN
0956-540X
Publisher
Oxford University Press (OUP)
Volume
215
Issue
2
Pages
1257-1290
Type
Article
Metadata
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Citation
Das, S., Chen, X., Hobson, M., Phadke, S., van Beest, B., Goudswaard, J., & Hohl, D. (2018). Surrogate regression modelling for fast seismogram generation and detection of microseismic events in heterogeneous velocity models. Geophysical Journal International, 215 (2), 1257-1290. https://doi.org/10.1093/GJI/GGY283
Keywords
Joint inversion, Statistical methods, Time-series analysis, Computational seismology, Seismic noise, Statistical seismology
Identifiers
External DOI: https://doi.org/10.1093/GJI/GGY283
This record's URL: https://www.repository.cam.ac.uk/handle/1810/280070
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Licence:
http://www.rioxx.net/licenses/all-rights-reserved
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