Abstract
This paper presents an innovative methodology designed to simulate 3D stochastic images of the morphology of fluvial sand channel reservoirs. This methodology is successfully tested for a hypothetical channel sand reservoir where some of the conditioning data were derived from a Middle Eastern reservoir of this type. Results are discussed with particular regard to the images of local orientations and analysis of the local and global uncertainties of the model.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Luis, J., & Almeida, J. A. (1997). Stochastic characterization of fluvial sand channels, Geostatistics Wollongong’96, Vol 1, In Baafi, E. Y., & Schofieldpp, N. A. (pp. 477–488). The Netherlands: Kluwer Academic Publiaction.
Almeida, J.A. (1999). Use of geostatistical models to improve reservoir description and flow simulation in heterogeneous oil fields. PhD thesis IST, p. 161.
Almeida, J.A. (2010). Stochastic simulation methods for characterization of lithoclasses in carbonate reservoirs. Earth Science Reviews, 101,(3–4), 250–270.
Nunes, R., & Almeida, J. A. (2010). Parallelization of sequential Gaussian, indicator and direct simulation algorithms. Computers Geosciences, 36(8), 1042–1052.
Froidevaux, R. (1993) Probability field simulation. In Soares, A. (ed.), Geostatistics Troia’92, vol 1 (73–84.). Dordrecht: Kluwer Academic Publication.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kuznetsova, A., Almeida, J.A., Legoinha, P. (2014). Stochastic Simulation of the Morphology of Fluvial Sand Channel Reservoirs. In: Pardo-Igúzquiza, E., Guardiola-Albert, C., Heredia, J., Moreno-Merino, L., Durán, J., Vargas-Guzmán, J. (eds) Mathematics of Planet Earth. Lecture Notes in Earth System Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32408-6_139
Download citation
DOI: https://doi.org/10.1007/978-3-642-32408-6_139
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32407-9
Online ISBN: 978-3-642-32408-6
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)