Guillaume Pirot
Guillaume Pirot
Research Fellow, Centre for Exploration Targeting, University of Western Australia
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A practical guide to performing multiple-point statistical simulations with the Direct Sampling algorithm
E Meerschman, G Pirot, G Mariethoz, J Straubhaar, M Van Meirvenne, ...
Computers & Geosciences 52, 307-324, 2013
Distance-based kriging relying on proxy simulations for inverse conditioning
D Ginsbourger, B Rosspopoff, G Pirot, N Durrande, P Renard
Advances in water resources 52, 275-291, 2013
Simulation of braided river elevation model time series with multiple-point statistics
G Pirot, J Straubhaar, P Renard
Geomorphology 214, 148-156, 2014
Influence of conceptual model uncertainty on contaminant transport forecasting in braided river aquifers
G Pirot, P Renard, E Huber, J Straubhaar, P Huggenberger
Journal of Hydrology 531, 124-141, 2015
Conditioning of multiple-point statistics facies simulations to tomographic images
T Lochbühler, G Pirot, J Straubhaar, N Linde
Mathematical Geosciences 46 (5), 625-645, 2014
Probabilistic inversion with graph cuts: Application to the Boise Hydrogeophysical Research Site
G Pirot, N Linde, G Mariethoz, JH Bradford
Water Resources Research 53 (2), 1231-1250, 2017
Contaminant source localization via Bayesian global optimization
G Pirot, T Krityakierne, D Ginsbourger, P Renard
Hydrology and Earth System Sciences 23, 351-369, 2019
A pseudo genetic model of coarse braided‐river deposits
G Pirot, J Straubhaar, P Renard
Water Resources Research 51 (12), 9595-9611, 2015
Using training images to build model ensembles with structural variability
G Pirot
Groundwater 55 (5), 656-659, 2017
Hydrogeological model selection among complex spatial priors
C Brunetti, M Bianchi, G Pirot, N Linde
Water Resources Research 55 (8), 6729-6753, 2019
Automated geological map deconstruction for 3D model construction using map2loop 1.0 and map2model 1.0
M Jessell, V Ogarko, Y De Rose, M Lindsay, R Joshi, A Piechocka, ...
Geoscientific Model Development 14 (8), 5063-5092, 2021
Reduction of conceptual model uncertainty using ground-penetrating radar profiles: Field-demonstration for a braided-river aquifer
G Pirot, E Huber, J Irving, N Linde
Into the Noddyverse: a massive data store of 3D geological models for machine learning and inversion applications
M Jessell, J Guo, Y Li, M Lindsay, R Scalzo, J Giraud, G Pirot, E Cripps, ...
Earth System Science Data 14 (1), 381-392, 2022
Goal-oriented adaptive sampling under random field modelling of response probability distributions
A Gautier, D Ginsbourger, G Pirot
arXiv preprint arXiv:2102.07612, 2021
Blockworlds 0.1. 0: A demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models
R Scalzo, M Lindsay, M Jessell, G Pirot, J Giraud, E Cripps, S Cripps
Geoscientific Model Development Discussions 2021, 1-33, 2021
Probabilistic ABC with Spatial Logistic Gaussian Process modelling
A Gautier, D Ginsbourger, G Pirot
Third Workshop on Machine Learning and the Physical Sciences. NeurIPS, 2020
Towards 3D probabilistic inversion with graphcuts
N Linde, M Cardiff, G Mariethoz, J Bradford, G Pirot
23rd European Meeting of Environmental and Engineering Geophysics 2017 (1), 1-5, 2017
loopUI-0.1: indicators to support needs and practices in 3D geological modelling uncertainty quantification
G Pirot, R Joshi, J Giraud, MD Lindsay, MW Jessell
Geoscientific Model Development 15 (12), 4689-4708, 2022
loopUI-0.1: uncertainty indicators to support needs and practices in 3D geological modelling uncertainty quantification
G Pirot, R Joshi, J Giraud, MD Lindsay, MW Jessell
Geoscientific Model Development Discussions, 1-31, 2022
dh2loop 1.0: an open-source Python library for automated processing and classification of geological logs
R Joshi, K Madaiah, M Jessell, M Lindsay, G Pirot
Geoscientific Model Development 14 (11), 6711-6740, 2021
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