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).
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Lauzon, Dany
Directory of Experts
Lauzon, Dany
Directory of Experts
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Conference paper (12)
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Dany Lauzon (26)
- 2026 (8)
Journal article Conference paper Paula Burgoa Tanaka, A., Renard, P., Xia Liang, X., Straubhaar, J., & Lauzon, D. (2026, May). Fracture network modeling with graph deep learning [Abstract]. EGU General Assembly 2026, Vienna, Austria.
Teaching resource Lauzon, D. (2026). Géostatistique et géologie minière [Lecture Notes].Conference paper Brisebois, O., Lauzon, D., & Pasquier, P. (2026, May). Investigation of a constructive geostatistical method to assimilate unused conventional data during geothermal drilling for hydraulic conductivity profiling [Paper]. 15th IEA Heat Pump Conference (HPC 2026), Vienna, Austria (12 pages).Conference paper Renard, P., Straubhaar, J., Lauzon, D., & Trunz, C. (2026, May). Karst network simulation with statistical learning [Abstract]. EGU General Assembly 2026, Vienna, Austria.Journal article 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.Conference paper Dion, G., Pasquier, P., & Lauzon, D. (2026, May). Stochastic approach to ground heat exchanger sizing accounting for weather and ground property variability [Paper]. 15th IEA Heat Pump Conference (HPC 2026), Vienna, Austria (10 pages).Conference paper Arega, K. A., Benoit, N., & Lauzon, D. (2026, May). Stochastic groundwater recharge modelling in the Harricana river watershed, Québec, Canada [Poster]. CGU and IAH-CNC Annual Meeting 2026, Halifax, Nova Scotia.
- 2025 (5)
Journal article Lauzon, D., Straubhaar, J., & Renard, P. (2025). A Deep Generative Model for the Simulation of Discrete Karst Networks. Earth and Space Science, 12(10).Conference paper Lauzon, D., Hörning, S., & Bárdossy, A. (2025, April). A novel framework for stochastic simulation of multivariate non-gaussian random fields in environmental and geological studies [Abstract]. EGU General Assembly 2025, Vienna, Austria (2 pages).Journal article Lauzon, D., & Hörning, S. (2025). Efficient computation on large regular grids of higher-order spatial statistics via fast fourier transform. Computers & Geosciences, 105878 (38 pages).Journal article Liang, X. X., Gloaguen, E., Claprood, M., Paradis, D., & Lauzon, D. (2025). Graph Neural Network Framework for Spatiotemporal Groundwater Level Forecasting. Mathematical Geosciences, 23 pages.Conference paper Hoerning, S., Lauzon, D., & Bárdossy, A. (2025, April). Spectral methods for non-linear co-regionalization [Abstract]. EGU General Assembly 2025, Vienna, Austria (1 page).
- 2024 (5)
Journal article Lauzon, D. (2024). A U-Net architecture as a surrogate model combined with a geostatistical spectral algorithm for transient groundwater flow inverse problems. Advances in Water Resources, 189, 104726 (14 pages).Conference paper Lauzon, D. (2024, June). Deep neural networks in surrogate hydrogeological modeling : an application for transient groundwater flow combined with a geostatistical spectral algorithm for inverse problem-solving [Abstract]. 15th International Conference on Geostatistics for Environmental Applications (GeoEnv 2024), Chania, Greece.Conference paper Kfoury, M., Roy, S., Langevin, M., Lauzon, D., & Gosselin, Y. (2024, September). Geostatistical analysis of geotechnical uncertainty: risk assessment in engineering projects [Paper]. 77th Canadian Geotechnical Conference and the 16th Joint CGS/IAH-CNC Groundwater Conference (GeoMontréal 2024), Montreal, Quebec, Canada (7 pages).Conference paper Straubhaar, J., Lauzon, D., & Renard, P. (2024, July). Graph recurrent neural networks for stochastic simulation of Karst network topology and properties [Abstract]. 15th International Conference on Geostatistics for Environmental Applications (GeoEnv 2024), Chania, Greece.Journal article Lauzon, D., & Gloaguen, E. (2024). Quantifying uncertainty and improving prospectivity mapping in mineral belts using transfer learning and Random Forest: A case study of copper mineralization in the Superior Craton Province, Quebec, Canada. Ore Geology Reviews, 166, 105918 (16 pages).
- 2023 (1)
Journal article Lauzon, D., & Marcotte, D. (2023). Joint hydrofacies-hydraulic conductivity modeling based on a constructive spectral algorithm constrained by transient head data. Hydrogeology Journal, 31(6), 1647-1664.
- 2022 (4)
Thesis Lauzon, D. (2022). Développement d'algorithmes pour le calage de modèles géologiques par méthodes géostatistiques discrètes et spectrales [Ph.D. thesis, Polytechnique Montréal].Conference paper Lauzon, D., & Marcotte, D. (2022, June). On a constructive spectral method for conditioning pluriGaussian simulations to boreholes observations and indirect data. Application to aquifer models [Paper]. 14th International Conference on Geostatistics for Environmental Applications (GeoEnv 2022), Parma, Italia.Conference paper Lauzon, D., & Marcotte, D. (2022, June). On a constructive spectral method for conditioning pluriGaussian simulations to boreholes observations and indirect data. Application to aquifer models [Poster]. 14th International Conference on Geostatistics for Environmental Applications (GeoEnv 2022), Parma, Italia (1 page).Journal article Lauzon, D., & Marcotte, D. (2022). Statistical comparison of variogram-based inversion methods for to indirect data. Computers & Geosciences, 160, 105032 (15 pages).
- 2020 (2)
Journal article Lauzon, D., & Marcotte, D. (2020). Calibration of random fields by a sequential spectral turning bands method. Computers and Geosciences, 135, 13 pages.Journal article Lauzon, D., & Marcotte, D. (2020). The sequential spectral turning band simulator as an alternative to Gibbs sampler in large truncated- or pluri- Gaussian simulations. Stochastic Environmental Research and Risk Assessment, 34(11), 1939-1951.
- 2019 (1)
Journal article Lauzon, D., & Marcotte, D. (2019). Calibration of random fields by FFTMA-SA. Computers & Geosciences, 127, 99-110.
