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

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

Accepted version

Repository URI

https://www.repository.cam.ac.uk/handle/1810/280070

Repository DOI

https://doi.org/10.17863/CAM.27434

Files

Accepted version (5.87 MB)

Supporting information (1.73 MB)

Type

Article

Authors

Das, Saptarshi

https://orcid.org/0000-0002-8394-5303

Chen, Xi

https://orcid.org/0000-0002-3577-3308

Hobson, MP

Phadke, S

van Beest, B

Keywords

Joint inversion, Statistical methods, Time-series analysis, Computational seismology, Seismic noise, Statistical seismology

Journal Title

Geophysical Journal International

Journal ISSN

0956-540X
1365-246X

Volume Title

215

Publisher

Oxford University Press (OUP)

Publisher DOI

https://doi.org/10.1093/GJI/GGY283

Rights

http://www.rioxx.net/licenses/all-rights-reserved

Collections

Cambridge University Research Outputs