Multiple-point geostatistics for modeling subsurface heterogeneity: A comprehensive review-Reference-Cited by-同舟云学术

Multiple-point geostatistics for modeling subsurface heterogeneity: A comprehensive review

Published:2008-11 Issue:11 Volume:44 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Hu L. Y.¹,Chugunova T.¹

Affiliation:

1. Simulation of Flows and Transfers in Porous Media Department, Reservoir Engineering Division; Institut Français du Petrole; Rueil-Malmaison France

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2008WR006993/fullpdf

Reference29 articles.

1. Simulating a Geological Lithofacies with Respect to Connectivity Information Using the Truncated Gaussian Model

2. A Multiple-scale, Pattern-based Approach to Sequential Simulation

3. Geostatistical history matching under training-image based geological model constraints;Caers;SPE J.,2003

4. Chugunova , T. 2008 Contrainte des modèles génétiques de réservoirs par une approche de reconnaissance statistique de forme Ecole des Mines de Paris Fontainebleau, France

5. Multiple-point simulations constrained by continuous auxiliary data;Chugunova;Math. Geosci.,2008

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