Documents publiés en "2026"

Article de revue

Lauzon, D., Hörning, S., & Bàrdossy, A. (2026). A generalized FFTMA approach for simulating multivariate non-Gaussian random fields with spatial asymmetry. Computers & Geosciences, 212, 106157 (18 pages). Lien externe

Pugliese, E., Lauzon, D., Dematteis, A., Rodani, S., Benedetti, G., & Gargini, A. (2026). Risk assessment of tunnelling-induced hydrogeological interference on springs using a machine learning approach. Hydrogeology Journal, 29 pages. Disponible

Xia Liang, X., Lauzon, D., Gloaguen, E., Straubhaar, J., & Renard, P. (2026). Evaluating the influence of temporal data resolution on the performance of deep neural networks for Karst groundwater forecasting. Applied Computing and Geosciences, 31, 100393 (16 pages). Lien externe

Communication écrite

Brisebois, O., Lauzon, D., & Pasquier, P. (mai 2026). Investigation of a constructive geostatistical method to assimilate unused conventional data during geothermal drilling for hydraulic conductivity profiling [Communication écrite]. 15th IEA Heat Pump Conference (HPC 2026), Vienna, Austria (12 pages). Lien externe

Dion, G., Pasquier, P., & Lauzon, D. (mai 2026). Stochastic approach to ground heat exchanger sizing accounting for weather and ground property variability [Communication écrite]. 15th IEA Heat Pump Conference (HPC 2026), Vienna, Austria (10 pages). Lien externe

Affiche

Arega, K. A., Benoit, N., & Lauzon, D. (mai 2026). Stochastic groundwater recharge modelling in the Harricana river watershed, Québec, Canada [Affiche]. CGU and IAH-CNC Annual Meeting 2026, Halifax, Nova Scotia. Lien externe

Résumé

Paula Burgoa Tanaka, A., Renard, P., Xia Liang, X., Straubhaar, J., & Lauzon, D. (mai 2026). Fracture network modeling with graph deep learning [Résumé]. EGU General Assembly 2026, Vienna, Austria. Lien externe

Renard, P., Straubhaar, J., Lauzon, D., & Trunz, C. (mai 2026). Karst network simulation with statistical learning [Résumé]. EGU General Assembly 2026, Vienna, Austria. Lien externe

Présentation

Lauzon, D., Kfoury, M., & Langevin, M. (septembre 2026). From data to decisions: how geostatistics supports geotechnical engineering [Présentation]. Dans 79e Conférence canadienne de géotechnique (GéoQuébec 2026), Québec, Québec, Canada. Non disponible

Tagne Nkounga, I. B., Lauzon, D., Kfoury, M., & Langevin, M. (septembre 2026). Automatic spatial inference of stratigraphic piles under non-stationary conditions from borehole data [Présentation]. Dans 79e Conférence canadienne de géotechnique (GéoQuébec 2026), Québec, Québec, Canada. Non disponible

Notes de cours

Lauzon, D. (2026). Géostatistique et géologie minière [Notes de cours]. Lien externe