Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Julien Thurin"'
Autor:
Julien Thurin
Publikováno v:
Seismica, Vol 3, Iss 2 (2024)
Accurate representation of large earthquake sources is required for understanding rupture dynamics and improving seismic hazard assessments. While capable of capturing complex spatio-temporal slip scenarios, traditional finite-fault models often suff
Externí odkaz:
https://doaj.org/article/0953669bf0c94cb2b7bc628b5f7cd392
Publikováno v:
The Seismic Record, Vol 3, Iss 3, Pp 215-217 (2023)
Externí odkaz:
https://doaj.org/article/4e849a2a0d7d4c18997adf481f6fc093
Publikováno v:
The Seismic Record, Vol 3, Iss 2, Pp 168-170 (2023)
Externí odkaz:
https://doaj.org/article/dd14c017323b4d44840f2bcf9176122d
Publikováno v:
The Seismic Record, Vol 2, Iss 4, Pp 217-226 (2022)
The eruption of the Hunga Tonga–Hunga Ha’apai submarine volcano on 15 January 2022 produced a variety of geophysical responses, including a significant seismic signal. We study the seismic source process of this event by inverting for moment tens
Externí odkaz:
https://doaj.org/article/911697a984714a56853535601a19b567
Publikováno v:
Geophysical Journal International
Geophysical Journal International, Oxford University Press (OUP), 2019, 219 (3), pp.1613-1635. ⟨10.1093/gji/ggz384⟩
79th EAGE Conference and Exhibition 2017
79th EAGE Conference and Exhibition 2017, Jun 2017, Paris, France. ⟨10.3997/2214-4609.201701007⟩
Geophysical Journal International, 2019, 219 (3), pp.1613-1635. ⟨10.1093/gji/ggz384⟩
Geophysical Journal International, Oxford University Press (OUP), 2019, 219 (3), pp.1613-1635. ⟨10.1093/gji/ggz384⟩
79th EAGE Conference and Exhibition 2017
79th EAGE Conference and Exhibition 2017, Jun 2017, Paris, France. ⟨10.3997/2214-4609.201701007⟩
Geophysical Journal International, 2019, 219 (3), pp.1613-1635. ⟨10.1093/gji/ggz384⟩
SUMMARY Uncertainty estimation and quality control are critically missing in most geophysical tomographic applications. The few solutions to cope with that issue are often left out in practical applications when these ones grow in scale and involve c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da531bed4986a728cdf49da52576f6c0
https://hal.archives-ouvertes.fr/hal-02325612
https://hal.archives-ouvertes.fr/hal-02325612
Publikováno v:
81st EAGE Conference and Exhibition 2019
81st EAGE Conference and Exhibition 2019, Jun 2019, London, United Kingdom. ⟨10.3997/2214-4609.201900881⟩
81st EAGE Conference and Exhibition 2019, Jun 2019, London, United Kingdom. ⟨10.3997/2214-4609.201900881⟩
International audience; Full Waveform Inversion (FWI) is an ill-posed nonlinear inverse problem, which aims at recovering high-resolution geophysical subsurface models. This work focuses on the joint application of the Ensemble Transform Kalman Filte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::334da9d015b295ade05e53ef4375ee43
https://hal.science/hal-02325630/document
https://hal.science/hal-02325630/document
Publikováno v:
81st EAGE Conference and Exhibition 2019 Workshop Programme
81st EAGE Conference and Exhibition 2019 Workshop Programme, Jun 2019, London, United Kingdom. ⟨10.3997/2214-4609.201901997⟩
81st EAGE Conference and Exhibition 2019 Workshop Programme, Jun 2019, London, United Kingdom. ⟨10.3997/2214-4609.201901997⟩
International audience; Full Waveform Inversion (FWI) is an iterative inversion method whose purpose is to retrieve high-resolution models of subsurface physical parameters. Because FWI relies on the solution of a non-linear ill-posed inverse problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fe507c64fdb34af42be1b0c83fcc9b9
https://doi.org/10.3997/2214-4609.201901997
https://doi.org/10.3997/2214-4609.201901997
Publikováno v:
SEG Technical Program Expanded Abstracts 2017
SEG Technical Program Expanded Abstracts 2017, Sep 2017, Houston, United States. pp.1307-1313, ⟨10.1190/segam2017-17733053.1⟩
SEG Technical Program Expanded Abstracts 2017, Sep 2017, Houston, United States. pp.1307-1313, ⟨10.1190/segam2017-17733053.1⟩
International audience; Uncertainty Quantification is a major topic for most geophysical tomography techniques, in particular for large-scale problems. In this work, we present an original application of ensemble-based methods to Full Waveform Invers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb0397553a7a513f6e833b79fd6b192d
https://doi.org/10.1190/segam2017-17733053.1
https://doi.org/10.1190/segam2017-17733053.1