The Direct Sampling method to perform multiple‐point geostatistical simulations
By Gregoire Mariethoz, Philippe Renard, Julien Straubhaar. 2010
620 citations recorded by the source corpus.
Subfields: Environmental Engineering, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/1f7203a39b995426bd739b3157e0644860486546
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Philippe Renard
- Muhammad Sahimi
- Pejman Tahmasebi
- Niklas Linde
- Gregoire Mariethoz
- Tapan Mukerji
- Jef Caers
- Julien Straubhaar
In Water Science and Technology
- Philippe Renard
- Niklas Linde
- Jef Caers
- Muhammad Sahimi
- Pejman Tahmasebi
- Denis Allard
- Gregoire Mariethoz
- Diederik Jacques
Citations in the corpus
- Simulation of rainfall time series from different climatic regions using the direct sampling technique (2014, methodology): “Unlike the implementation presented in Mariethoz et al. (2010), DeeSse also uses a specific acceptance threshold Tk for each variable.”
- Training‐Image Based Geostatistical Inversion Using a Spatial Generative Adversarial Neural Network (2017, methodology): “For this case study, we performed a comparison between our trained SGAN and the well-established DeeSse (DS) MPS algorithm ( Mariethoz et al. , 2010).”
- 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.”
- Geological realism in hydrogeological and geophysical inverse modeling: A review (2015, background): “variate framework with both categorical and continuous variables [119,123].”
- Connectivity metrics for subsurface flow and transport (2013, methodology): “[140] proposed an algorithm related to direct sampling [49].”
- Bayesian inverse problem and optimization with iterative spatial resampling (2010, methodology): “To demonstrate the general applicability of ISR, we define a new problem involving sand channels in a clay matrix and we use the direct sampling method (DS) to model it [Mariethoz and Renard, 2010; Mariethoz et al., 2010].”