Abstract
Simulation methods fall into two broad classes: pixel methods and object-based methods. Before presenting any practical examples, it is important to decide which method would be the most appropriate for the problem under study. So we first review the pros and cons of two classes of models, sequence-based pixel methods such as the truncated gaussian and plurigaussian simulations, and object-based methods, in particular boolean simulations. As this book focuses on plurigaussian simulations, we do not intend to present boolean simulations here. Interested readers can consult Matheron (1968, 1975), Lantuéjoul (1997a, b, 2002) Chilès and Delfiner (1999), and Molchanov (1997). Sequence-based pixel methods and boolean simulations can also be combined to get the best of both approaches. These are called nested simulations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cacas MC, Daniel JM, Letouzey J (2001) Nested geological modelling of naturally fractured reservoirs. Petrol Geosci 7:S43–S52
Chilès JP, Delfiner P (1999) Geostatistics: modeling spatial uncertainty. Wiley, New York, 695 pp
Eschard R, Lemouzy P, Bacchiana C, Désaubliaux G, Parpant J, Smart B (1999) Combining sequence stratigraphy, geostatistical simulations and production data for modeling a fluvial reservoir in the Chaunoy field (Triassic, France). AAPG Bull 82:545–568
Fontaine L, Beucher H (2006) Simulation of the Muyumkum uranium roll front deposit by using truncated plurigaussian method. In: Proceedings of the 6th international mining geology conference, Darwin, NT Australia, 21–23 Aug 2006
Grötsch J, Mercadier C (1999) Integrated 3-D Reservoir modeling based on 3-D seismic: the Tertiary Malampaya and Camago buidups, offshore palawan, Philippines. AAPG Bulletin 83(11):1703–1728
Lantuéjoul C (1997a) Iterative algorithms for conditional simulations. In: Baafi E et al (eds) Geostatistics Wollongong ’96, vol 1. Kluwer, Dordrecht, pp 27–40
Lantuéjoul C (1997b) Conditional simulation of object-based models. In: Jeulin D (ed) Advances in theory and applications of random sets. World Scientific, Singapore, pp 271–288
Matheron G (1968) Schéma booléen séquentiel de partition aléatoire. Internal report N-83, CMM, Fontainebleau
Matheron G (1975) Random sets and integral geometry. Wiley, New York
Molchanov I (1997) Statistics of the Boolean model for practitioners and mathematicians. Wiley, Chichester, 160 pp
Normando NM, Remacre AZ, Sancevero SS (2005) The study of plurigaussian simulations' lithotype rule in reservoir characterization process. SPE 94949, presented at the SPE Latin American & Caribbean petroleum engineering conference, held in Rio de Janeiro, Brazil, 20–23 June 2005
Riquelme, R., G. Le Loc'h & P. Carrasco 2008 Truncated gaussian & plurigaussian simulations of lithological units in Mansa Mina Deposit. In: Ortiz JM, Emery X (eds) Geostats 2008. Proceedings of the 8th international geostats conference, held in Santiago, Chile, 1–5 Dec 2008
Van Buchem FS, Doligez B, Eschard R, Lerat O, Grammer M, Ravenne C (2000) Stratigraphic Architecture and Stochastic Simulation of a Mixed silico-clastic/carbonated platform (Pennsylvanian, paradox basin, USA. In: Homewood P, Eberli GP (eds) Genetic stratigraphy, vol 28, Bulletin de Recherche Exploration-Production memoir., pp 109–128
Eschard R, Lemouzy P, Bacchiana C, Desaubliaux G, Parpant J, Smart B (1998) Combining sequence stratigraphy, geostatistical simulations, and production data for modeling a fluvial reservoir in the Chaunoy field (Triassic, France). AAPG Bulletin, Vol. 82, No. 4, April 1998, pp 545–658
Da Veiga S, Le Ravalec M (2010) Rebuilding existing geological models. SPE 130976 presented at the SPE EUROPEC/EAGE annual conference & exhibition, held in Barcelona, Spain, 14–17 June 2010
Cozzi M, Roncarolo F, Balossino P, Bersezio R, Felletti F, Rossi M (2002) Combining facies analysis, log interpretation and geostatistical simulation to characterise heterogeneity of a turbiditic reservoir. In: IAMG'02 Proceeding of the 8th Annual Conference of the International Association for Mathematical Geology, Berlino (eds. U. Bayer, H. Burger, W. Skala)
Felletti F (2004) Statistical modelling and validation of correlation in turbidites: an example from the Tertiary Piedmont Basin (Castagnola Fm., North Italy). Marine Petroleum Geology, Vol. 21 pp 23–39
Grammer GM, Eberli GP, Van Buchem FSP, Stevenson GM, Homewood PW (2000) Application of high resolution sequence stratigraphy in developing an exploration and production strategy for a mixed carbonate/siliciclastic system (Carboniferous), Paradox Basin, USA. In: Homewood PW, Eberli GP (eds) Genetic Stratigraphy on the Exploration and Production Scales: Case Studies from the Pennsylvanian of the Paradox Basin and the Upper Devonian of Alberta, Elf Aquitaine Memoir 24, pp 29–69
Galli A, Le Loch G, Geffroy F, Eschard R (2006) An Application of the Truncated Pluri-gaussian Method for Modeling Geology. AAPG computer application for geology, pp 109–122
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Armstrong, M. et al. (2011). Case Studies and Practical Examples. In: Plurigaussian Simulations in Geosciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19607-2_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-19607-2_8
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19606-5
Online ISBN: 978-3-642-19607-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)