Conditional Simulation with Patterns
By G. B. Arpat, Jef Caers. 2007
307 citations recorded by the source corpus.
Subfields: Building and Construction, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/7369d16cf59c4866988451b2af1f657625c0ab30
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Building and Construction
In Environmental Engineering
- Philippe Renard
- Gregoire Mariethoz
- Muhammad Sahimi
- Pejman Tahmasebi
- Niklas Linde
- Julien Straubhaar
- Tapan Mukerji
- Jef Caers
Citations in the corpus
- Enhancing multiple‐point geostatistical modeling: 1. Graph theory and pattern adjustment (2016, methodology): “In another attempt, a pattern-based simulation method––the SIMPAT algorithm––[Arpat and Caers, 2007; Zhang et al., 2006; Honarkhah and Caers, 2010] and its modification [Mariethoz et al., 2010] was proposed in which a group of points are simulated (modeled) simultaneously.”
- The Direct Sampling method to perform multiple‐point geostatistical simulations (2010, methodology): “It uses the concept of similarity measure between groups of pixels and canbeappliedbothtocontinuousorcategoricalvariables.For completeness, it should be noted that Arpat and Caers [2007] and El Ouassini et al. [2008] also proposed alternative techniques based on pasting entire patterns.”
- Simulation of rainfall time series from different climatic regions using the direct sampling technique (2014, background): “Introduced by Guardiano 15 and Srivastava (1993) and widely developed during the last decade (Strebelle, 2002; Allard et al., 2006; Zhang et al., 2006; Arpat and Caers, 2007; Honarkhah and Caers, 2010; Straubhaar et al., 2011; Tahmasebi et al., 2012), MPS is a family of geostatistical techniques wid”
- Geological realism in hydrogeological and geophysical inverse modeling: A review (2015, background): “It is now possible to apply training image based techniques with both continuous and categorical variables [5,163,173].”
- High-order Stochastic Simulation of Complex Spatially Distributed Natural Phenomena (2010, unknown): “…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).”