loopUI-0.1: indicators to support needs and practices in 3D geological modelling uncertainty quantification

Autor: Guillaume Pirot, Ranee Joshi, Jérémie Giraud, Mark Douglas Lindsay, Mark Walter Jessell

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

Automated geological map deconstruction for 3D model construction using map2loop 1.0 and map2model 1.0

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

loopUI-0.1: uncertainty indicators to support needs and practices in 3D geological modelling uncertainty quantification

Autor: Guillaume Pirot, Ranee Joshi, Jérémie Giraud, Mark Douglas Lindsay, Mark Walter Jessell

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

Into the Noddyverse: A massive data store of 3D geological models for Machine Learning & inversion applications

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/

Goal-oriented adaptive sampling under random field modelling of response probability distributions

Autor: Athénaïs Gautier, David Ginsbourger, Guillaume Pirot

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)

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