Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Guillaume Pirot"'
Publikováno v:
Geoscientific Model Development. 15:4689-4708
To support the needs of practitioners regarding 3D geological modelling and uncertainty quantification in the field, in particular from the mining industry, we propose a Python package called loopUI-0.1 that provides a set of local and global indicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::924e8c71cc0aebd1f49c4f94c7559032
https://doi.org/10.5194/gmd-15-4689-2022
https://doi.org/10.5194/gmd-15-4689-2022
Publikováno v:
Geoscientific Model Development. 14:6711-6740
A huge amount of legacy drilling data is available in geological survey but cannot be used directly as they are compiled and recorded in an unstructured textual form and using different formats depending on the database structure, company, logging ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e2fa15115114444301bcfbeb94b1f27
https://doi.org/10.5194/gmd-14-6711-2021
https://doi.org/10.5194/gmd-14-6711-2021
Autor:
M. Lindsay, Mark Jessell, Guillaume Pirot, Lachlan Grose, Miguel de la Varga, Yohan de Rose, Agnieszka Piechocka, Laurent Ailleres, Ranee Joshi, Vitaliy Ogarko
Publikováno v:
Geoscientific Model Development. 14:5063-5092
At a regional scale, the best predictor for the 3D geology of the near-subsurface is often the information contained in a geological map. One challenge we face is the difficulty in reproducibly preparing input data for 3D geological models. We presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8ca07bf505053a0edaa7ee0f88ba237
https://doi.org/10.5194/gmd-14-5063-2021
https://doi.org/10.5194/gmd-14-5063-2021
To support the needs of practitioners regarding 3D geological modelling and uncertainty quantification in the field, in particular from the mining industry, we propose a Python package called loopUI-0.1 that provides a set of local and global indicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7496fc5066c65130b4f3f8ffa0eb2432
https://doi.org/10.5194/gmd-2021-377
https://doi.org/10.5194/gmd-2021-377
Autor:
Guillaume Pirot, Richard Scalzo, Mark Jessell, M. Lindsay, Jeremie Giraud, Sally Cripps, Edward Cripps
Parametric geological models such as implicit or kinematic models provide low-dimensional, interpretable representations of 3-D geological structures. Combining these models with geophysical data in a probabilistic joint inversion framework provides
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10acd9253067b1fed3cf923c0ba5cd74
https://hdl.handle.net/10453/169653
https://hdl.handle.net/10453/169653
Autor:
Guillaume Pirot, Jiateng Guo, M. Lindsay, Jeremie Giraud, Richard Scalzo, Vitaliy Ogarko, Yunqiang Li, Mark Jessell, Edward Cripps
Unlike some other well-known challenges such as facial recognition, where Machine Learning and Inversion algorithms are widely developed, the geosciences suffer from a lack of large, labelled datasets that can be used to validate or train robust Mach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ed29ebc3099401c04ea000f35b1f063
https://essd.copernicus.org/preprints/essd-2021-304/
https://essd.copernicus.org/preprints/essd-2021-304/
Autor:
Mark D Lindsay, Agnieszka M. Piechocka, Mark W Jessell, Richard Scalzo, Jeremie Giraud, Guillaume Pirot, Edward Cripps
Publikováno v:
Geoscience Frontiers. 13:101435
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c914ff65e03e1a6155f60825a8562341
https://doi.org/10.1016/j.gsf.2022.101435
https://doi.org/10.1016/j.gsf.2022.101435
Publikováno v:
Gautier, Athénaïs; Ginsbourger, David; Pirot, Guillaume (August 2021). Goal-oriented adaptive sampling under random field modelling of response probability distributions. ESAIM: Proceedings and Surveys, 71, pp. 89-100. EDP Sciences 10.1051/proc/202171108
University of Western Australia
ESAIM: Proceedings and Surveys, Vol 71, Pp 89-100 (2021)
University of Western Australia
ESAIM: Proceedings and Surveys, Vol 71, Pp 89-100 (2021)
In the study of natural and artificial complex systems, responses that are not completely determined by the considered decision variables are commonly modelled probabilistically, resulting in response distributions varying across decision space. We c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd8b19f8980bbe4f9539eee0a4fc121f
https://boris.unibe.ch/168972/1/proc2107108.pdf
https://boris.unibe.ch/168972/1/proc2107108.pdf