Multiple-Point Simulations Constrained by Continuous Auxiliary Data

By Tatiana Chugunova, L. Hu. 2008

128 citations recorded by the source corpus.

Subfields: Environmental Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/90b69cd47dd8db59010c4f5d29cea9ec7976396f

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Citations in the corpus

The Direct Sampling method to perform multiple‐point geostatistical simulations (2010, background): “In addition, to account for nonstationarity either in the training image or in the simulation, it is necessary to include additional variables that 2 of 14 further increase the demand for memory storage [Chugunova and Hu, 2008].”
High-order Stochastic Simulation of Complex Spatially Distributed Natural Phenomena (2010, methodology): “…on the so-called multiple-point simulation algorithms, such as the snesim (Strebelle 2002), filtersim (Zhang et al. 2006; Wu et al. 2008), and simpat (Arpat and Caers 2007) algorithms, and related extensions (Boucher 2009; Chugunova and Hu 2008; Mirowski et al. 2008; Remy et al. 2009; and others).”
Simulation of rainfall time series from different climatic regions using the direct sampling technique (2014, background): “As already shown inChugunova and Hu(2008), Mariethoz et al. (2010), Honarkhah and Caers (2010) and Hu et al.”
Blocking Moving Window algorithm: Conditioning multiple‐point simulations to hydrogeological data (2010, result): “Recent works by Chugunova and Hu [2008] and de Vries et al. [2009] address the problem of nonstationarity.”
Multiple-point geostatistical modeling based on the cross-correlation functions (2012, methodology): “Therefore, it is possible to apply SNESIM to 3D reservoirs [1, 10, 32, 33, 49, 69] and hydrogeological modeling [13, 25, 37, 60, 61].”
Stochastic Simulation of Patterns Using Distance-Based Pattern Modeling (2010, methodology): “The first method introduces a continuous auxiliary variable and uses it to constrain the simulation (Chugunova and Hu, 2008).”
Enhancing multiple‐point geostatistical modeling: 1. Graph theory and pattern adjustment (2016, background): “D) LSPM [Strebelle et al., 2002; Liu et al., 2004; Harding et al., 2005; Aitokhuehi and Durlofsky, 2005], including hydrogeological systems [Feyen and Caers, 2006; Renard, 2007; Chugunova and Hu, 2008; Huysmans and Dassargues, 2008; Khodabakhshi and Jafarpour, 2013].”
Geological realism in hydrogeological and geophysical inverse modeling: A review (2015, background): “The only requirement is a suitable training image, but obtaining this image can be challenging [14,25,28,30,158].”