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A practical guide to performing multiple-point statistical simulations with the Direct Sampling algorithm

(2013) COMPUTERS & GEOSCIENCES. 52. p.307-324
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Keywords
Direct Sampling algorithm, Training image, Sensitivity analysis, Multiple-point statistics, TRAINING IMAGES

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Chicago
Meerschman, Eef, Guillaume Pirot, Gregoire Mariethoz, Julien Straubhaar, Marc Van Meirvenne, and Philippe Renard. 2013. “A Practical Guide to Performing Multiple-point Statistical Simulations with the Direct Sampling Algorithm.” Computers & Geosciences 52: 307–324.
APA
Meerschman, E., Pirot, G., Mariethoz, G., Straubhaar, J., Van Meirvenne, M., & Renard, P. (2013). A practical guide to performing multiple-point statistical simulations with the Direct Sampling algorithm. COMPUTERS & GEOSCIENCES, 52, 307–324.
Vancouver
1.
Meerschman E, Pirot G, Mariethoz G, Straubhaar J, Van Meirvenne M, Renard P. A practical guide to performing multiple-point statistical simulations with the Direct Sampling algorithm. COMPUTERS & GEOSCIENCES. 2013;52:307–24.
MLA
Meerschman, Eef, Guillaume Pirot, Gregoire Mariethoz, et al. “A Practical Guide to Performing Multiple-point Statistical Simulations with the Direct Sampling Algorithm.” COMPUTERS & GEOSCIENCES 52 (2013): 307–324. Print.
@article{3061447,
  author       = {Meerschman, Eef and Pirot, Guillaume and Mariethoz, Gregoire and Straubhaar, Julien and Van Meirvenne, Marc and Renard, Philippe},
  issn         = {0098-3004},
  journal      = {COMPUTERS \& GEOSCIENCES},
  keyword      = {Direct Sampling algorithm,Training image,Sensitivity analysis,Multiple-point statistics,TRAINING IMAGES},
  language     = {eng},
  pages        = {307--324},
  title        = {A practical guide to performing multiple-point statistical simulations with the Direct Sampling algorithm},
  url          = {http://dx.doi.org/10.1016/j.cageo.2012.09.019},
  volume       = {52},
  year         = {2013},
}

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