F. Alabert, Stochastic imaging of spatial distributions using hard and soft information Chiì es Simulation of a nickel deposit: problems encountered and practical solutions, Geostatistics for Natural Resources Characterisation, pp.1015-1039, 1984.

R. Clemen and R. Winkler, Combining Probability Distributions From Experts in Risk Analysis, Risk Analysis, pp.187-203, 1999.
DOI : 10.1109/17.18821

T. U. Cross, C. In, . Wilgus, . Hastings, . Kendall et al., CONTROLS ON COAL DISTRIBUTION IN TRANSGRESSIVE-REGRESSIVE CYCLES, UPPER CRETACEOUS, WESTERN INTERIOR, U.S.A., Sea-Level Changes ? An Integrated Approach, 42. SEPM Special VIII International Geostatistics Congress P KEDZIERSKI ET AL. Publications, pp.371-380, 1988.
DOI : 10.2110/pec.88.01.0371

T. Cross, . Baker, . Mr, M. Chapin, . Clark et al., , 1993.

, Applications of high-resolution sequence stratigraphy to reservoir analysis, Reservoir Characterisation from Outcrop Investigations. Proc. 7 th Exploration and Production Research Conference, pp.11-33

C. Deutsch and A. Journel, GSLIB: Geostatistical Software Library and User's Guide, 1998.

A. Galli, H. Beucher, L. Loc-'h, and B. Doligez, The Pros and Cons of the Truncated Gaussian Method, Geostatistical Simulations, pp.217-233, 1994.
DOI : 10.1007/978-94-015-8267-4_18

P. Goovaerts, Geostatistics for Natural Resources Evaluation, 1997.

A. Gressly, Observations géologiques sur le Jura soleurois, Nouveaux mémoires de la Société Helvétique des Sciences Naturelles, p.349, 1838.

V. Henrion, . Caumon, and J. Pellerin, Stochastic approach for modeling karstic systems controlled by fracture network, p.p. this volume, 2008.

P. Homewood, . Mauriaud, and F. Lafont, Best practices in sequence stratigraphy for exploration and reservoir engineers, Bulletin du Centre de Recherche d'Exploration ? Production d'Elf Aquitaine, p.81, 1999.

M. Jervey, . Bs-hastings, . Kendall, C. Posamentier, J. Ross et al., Quantitative geological modeling of siliclastic rock sequences and their seismic expression, CK Wilgus, Sea-Level Changes ? An Integrated Approach, pp.47-69, 1988.

A. Journel, Combining knowledge from diverse sources: An alternative to traditional data independence hypotheses, Mathematical Geology, pp.573-596, 2002.

P. Kedzierski, Intégration de connaissances sédimentologiques et stratigraphiques dans la caractérisation 3D desfacì es sédimentaires marins, 2007.

P. Kedzierski, . Mallet, and . Jl, Stochastic Simulation of Marine Reservoirs Through Paleotopography Modeling, SPE Annual Technical Conference and Exhibition, 2006.
DOI : 10.2118/102996-MS

S. Krishnan and A. Journel, The tau model for data redundancy, 25 th Gocad Meeting Proceedings. Gocad Research Group, 2005.

L. Labat, Simulations stochastiques defacì es par la méthode des Membership Functions, 2004.

B. Leflon, Modélisation des hétérogénéités lithologiquesàlithologiques`lithologiquesà l'´ echelle du réservoir pétrolier en milieu marin et fluviatile, 2005.

J. Mallet, Discrete smooth interpolation in geometric modeling, Computer-Aided Design, pp.177-191, 1992.

J. Mallet, Geomodeling, 2002.

J. Mallet, Space???Time Mathematical Framework for Sedimentary Geology, Mathematical Geology, pp.1-32, 2004.
DOI : 10.1023/B:MATG.0000016228.75495.7c

. Mallet and A. Shtuka, Stratigraphic inversion integrating wells, seismic & sedimentology data, SEG Technical Program Expanded Abstracts 1997, pp.1632-1635, 1997.
DOI : 10.1007/BF02769628

G. Massonnat, Breaking of a Paradigm: Geology Can Provide 3D Complex Probability Fields for Stochastic Facies Modelling, SPE Annual Technical Conference and Exhibition, 1999.
DOI : 10.2118/56652-MS

M. Sonnenfeld and T. Cross, Volumetric partitioning and facies differentiation within the Permian upper San Andres Formation of Last Chance Canyon, RG Loucks and JF Sarg Recent advances and applications of carbonate sequence stratigraphy, pp.435-474, 1993.

S. Strebelle, Conditional simulation of complex geological structures using multiple-point statistics, Mathematical Geology, pp.1-22, 2002.

D. Tamhane, . Wang, and P. Wong, The Role of Geology in Stochastic Reservoir Modelling: The Future Trends, SPE Asia Pacific Oil and Gas Conference and Exhibition, 1999.
DOI : 10.2118/54307-MS