Blocking Moving Window algorithm: Conditioning multiple‐point simulations to hydrogeological data

By A. Alcolea, Philippe Renard. 2010

56 citations recorded by the source corpus.

Subfields: Environmental Engineering, Geophysics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/f8e35346c916802d36612e622ee42c55c3f88d12

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Citations in the corpus

Geological realism in hydrogeological and geophysical inverse modeling: A review (2015, methodology): “This approach was pioneered by Fu and ómez-Hernández [3] for multi-Gaussian fields, before being applied o MPS simulations [50,65,66].”
Connectivity metrics for subsurface flow and transport (2013, background): “Published in Advances in Water Resources 51, 168–196, 2013 or any reference to this work which should be used f Connectivity metrics for subsurface flow and transport Philippe Renard a,⇑, Denis Allard b a Centre of Hydrogeology and Geothermics, University of Neuchâtel, 11 Rue Emile Argand, CH-2000 N”
The Direct Sampling method to perform multiple‐point geostatistical simulations (2010, methodology): “This method is now increasingly used in the oil industry [Aitokhuehi and Durlofsky, 2005; Caers et al., 2003; Hoffman and Caers, 2007; Liu et al., 2004; Strebelle et al., 2003] and in hydrogeology [Chugunova and Hu, 2008; Feyen and Caers, 2006; Huysmans and Dassargues, 2009; Michael et al., 2010; Re”
Inverse methods in hydrogeology: Evolution and recent trends (2014, methodology): “…behavior.716 Some indicators has been proposed to measure the connectivity (e.g., Knudby and Carrera, 2005, 2006; Le717 Goc et al., 2010), and some attempts to include connectivity information in inverse modeling have been718 carried out (Alcolea and Renard, 2010; Renard et al., 2011).719 3.2.”
Bayesian inverse problem and optimization with iterative spatial resampling (2010, methodology): “In the class of prior‐driven methods, one can find the probability perturbation method [Caers and Hoffman, 2006] and the blocking moving window [Alcolea and Renard, 2010].”
Enhancing multiple‐point geostatistical modeling: 1. Graph theory and pattern adjustment (2016, methodology): “The various MPS algorithms have found applications in hydrology [see e.g., Okabe and Blunt, 2007; Alcolea and Renard, 2010] (for a review, see Hu and Chugunova [2008]).”