Topic Name Description
File Plan de cours A2024
URL Site externe du cours

Site GML6402 

Vous y trouverez: - Notes de cours et powerpoints + anciens examens 

Pour la partie géologie minière on doit fournir l'id: glq3401 et le mot de passe: glq3401
Cours théorique (présentation pdf) File Cours théorique 1 - Variogramme
File Cours théorique 2 - Variance de bloc et de dispersion
File Cours théorique 3 : Krigeage
File Cours théorique 4 : Géostatistiques multivariables
File Cours théorique 5 : Géostatistique non-linéaire
File Cours théorique 6 : Simulations géostatistiques
File Cours théorique 7 : Simulations géostatistiques (suite)
File Cours théorique 8 : Simulations de faciès
File Cours théorique 9 : Méthode multipoints et statistiques d'ordre supérieure
Cours théorique (format écrit) File 0 - Abaques
File 0 - Introduction à Matlab
File 0 - Rappels statistiques et introduction
File 1 - Variogramme
File 1 - Stratégie de modélisation du variogramme
File 2 - Variance de blocs, de dispersions et d'estimation
File 3 - Krigeage
File 3 - Krigeage (suite)
File 3 - Krigeage dual
File 3 - Distribution multigaussienne et krigeage simple
File 3 - Covariances non-stationnaires
File 3 - FAI-K et covariances généralisées
File 4 - Géostatistiques multivariables
File 4 - Cokrigeage
File 5 - Krigeage d'indicatrices
File 5 - Conditionnement Uniforme
File 6 - Simulations géostatistiques
File 7 - Simulation spectrales des bandes tournantes
File 7 - Simulations géostatistiques (suites)
File 9 - Méthodes de simulation multipoints
File 11 - Déformation graduelle
File 14 - Résumé synthèse du cours GML6402A
Devoirs File Devoir 1 - Variogramme
File Devoir 2 - Variance de bloc et de dispersion
File Devoir 3 - Krigeage
File Devoir 4 - Cokrigeage
File Devoir 5 - Géostatistique non-linéaire
File Devoir 6 - Simulations géostatistiques
File Devoir 7 - Simulations géostatistiques (suite)
File Devoir 8 - Simulation de faciès
File Devoir 9 - Statistiques d'ordre supérieur
File Devoir 10 - Problèmes inverses
Projet final File Liste de projet final
Références File Chilès and Delfiner (2012) - Modeling spatial uncertainty
File Wackernagel (2003) - Multivariate Geostatistics
File Tarantola (2005) - Inverse problem thoery
File Bárdossy and Horning (2023) Definition of Spatial Copula Based Dependence Using a Family of Non-Gaussian Spatial Random Fields
File Chang and Zhang (2014) History matching of statistically anisotropic fields using the Karhunen-Loeve expansion-based global parameterization technique
File Dimitrakopoulos et al. (2010) High-order Statistics of Spatial Random Fields: Exploring Spatial Cumulants for Modeling Complex Non-Gaussian and Non-linear Phenomena
File Emery et al. (2016) An improved spectral turning-bands algorithm for simulating stationary vector Gaussian random fields
File Emery and Alegria (2020) A spectral algorithm to simulate nonstationary random fields on spheres and multifractal star-shaped random sets
File Iaco et al. (2001) Space–time analysis using a general product–sum model
File Jo and Pyrcz (2022) Automatic Semivariogram Modeling by Convolutional Neural Network
File Khambhammettu et al. (2020) The Traveling Pilot Point method. A novel approach to parameterize the inverse problem for categorical fields
File Mariethoz et al. (2010) The Direct Sampling method to perform multiple-point geostatistical simulations
File Mariethoz et al. (2010) Bayesian inverse problem and optimization with iterative spatial resampling
File Lauzon and Marcotte (2023) Joint hydrofacies‑hydraulic conductivity modeling based on a constructive spectral algorithm constrained by transient head data
File Lauzon (2024) A U-Net architecture as a surrogate model combined with a geostatistical spectral algorithm for transient groundwater flow inverse problems
File Liang and al. (2016) Simulation of non-linear coregionalization models by FFTMA
File Linde et al. (2015) Geological realism in hydrogeological and geophysical inverse modeling: A review
File Neven and Renard (2023) A Novel Methodology for the Stochastic Integration of Geophysical and Hydrogeological Data in Geologically Consistent Models
File Ravalec et al. (2010) The FFT Moving Average (FFT-MA) Generator: An Efficient Numerical Method for Generating and Conditioning Gaussian Simulations
File Zheng and Dai (2017) Simulation of multi-dimensional random fields by Karhunen–Loève expansion
Exercice File Variogramme
File Variogramme (Cor.)