ECMOR IV - 4th European Conference on the Mathematics of Oil Recovery 1994
DOI: 10.3997/2214-4609.201411149
|View full text |Cite
|
Sign up to set email alerts
|

Improvement In The Truncated Gaussian Method: Combining Several Gaussian Functions

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
10
0
2

Year Published

2002
2002
2018
2018

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 32 publications
(12 citation statements)
references
References 0 publications
0
10
0
2
Order By: Relevance
“…This widely used approach exhibits a special feature that may be undesired in some cases: the generated facies respect a sequential ordering. However, this limitation is easily overcome with pluriGaussian simulation, which involves the truncation of at least two Gaussian random functions (Le Loc'h et al 1994). For simplicity, the description below is restricted to TGS.…”
Section: Sedimentary Facies Modelingmentioning
confidence: 99%
See 1 more Smart Citation
“…This widely used approach exhibits a special feature that may be undesired in some cases: the generated facies respect a sequential ordering. However, this limitation is easily overcome with pluriGaussian simulation, which involves the truncation of at least two Gaussian random functions (Le Loc'h et al 1994). For simplicity, the description below is restricted to TGS.…”
Section: Sedimentary Facies Modelingmentioning
confidence: 99%
“…When this information is available, it can be integrated into reservoir models, provided that suitable stochastic simulation techniques are applied. For instance, Renard et al (2008) extended the well-known pluriGaussian simulation (PGS) technique (Le Loc'h et al 1994) to get the bivariate pluriGaussian simulation (Bi-PGS) one. Such a method makes it possible to populate reservoir models with spatially varying facies and to account for diagenetic phases with spatially varying influences on facies.…”
Section: Introductionmentioning
confidence: 99%
“…Another powerful approach is truncated plurigaussian simulation (Le Loc’h et al 1994; Armstrong et al 2001). Compared to the previous technique, this one is based on two‐point statistics (rather than multiple points).…”
Section: Possible Reasons For the Lack Of Applicationmentioning
confidence: 99%
“…In this article, we investigate the applicability of the truncated plurigaussian method (Le Loc’h and Galli 1994). The principle of the method is to simulate one or several continuous Gaussian fields and to truncate them in order to produce a categorical variable.…”
Section: Introductionmentioning
confidence: 99%
“…The truncated plurigaussian simulation method provides a way of using both local and conceptual geological information to infer the distributions of the facies and then those of hydraulic parameters. The method (Le Loc’h and Galli 1994) is based on the idea of truncating at least two underlying multi‐Gaussian simulations in order to create maps of categorical variable. In this article, we show how this technique can be used to assess contaminant migration in highly heterogeneous media.…”
mentioning
confidence: 99%