Abstract
This paper gives details of technical aspects of Georgsen and Omre [5] related to simulation algorithms based on stochastic models for fluvial reservoirs, in addition to extending the aforementioned paper in several ways.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
H. O. Augedal, K. O. Stanley, and H. Omre. Sisabosa, a program for stochastic modelling and evaluation of reservoir geology. In Proceedings from Conference on Reservoir Description and Simulation with Emphasis on EOR, Oslo, Oslo, Norway, September 1986. IFE.
A. G. Chessa. On the object based method for simulating sandstone deposits. In M. A. Christie et al., editor, Proceedings from 3rd European Conference on the Mathematics of Oil Recovery, pages 67–78, Delft, Nederland, 1992.
R. Clemetsen, A. R. Hurst, R. Knarud, and H. Omre. A computer program for evaluation of fluvial reservoirs. In A. T. Buller, E. Berg, O. Hjelmeland, J. Kleppe, O. Torsæter, and J. O. Aasen, editors, North Sea Oil and Gas Reservoir — II, pages 373–385. Graham & Trotman, May 1989.
S. Geman and D. Geman. Stochastic relaxation, gibbs distributions, and the bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, Pami-6, No. 6, November 1984.
F. Georgsen and H. Omre. Combining fibre processes and gaussian random functions for modelling fluvial reservoirs. In A. Soares, editor, Geostatistics Tróia ’92, pages 425–439, Troia, Portugal, 1992.
W. K. Hastings. Monte carlo sampling methods using markov chains and their applications. Biometrika, 57,1:97–109, 1970.
B. K. Hegstad, H. Omre, H. Tjelmeland, and K. Tyler. Stochastic simulation and condition by annealing in reservoir description. In Workshop on Geostatistical Simulations, Fontainebleau, France, May, 1993.
A. G. Journel and Ch. J. Huijbregts. Mining Geostatistics. Academic Press, London, 1978.
F. P. Kelly and B. D. Ripley. A note on strauss’s model for clustering. Biometrika, 63,2:357–360, 1976.
B. Matérn. Spatial variation. Technical Report 5,49, Swedish Forest Research Institute, 1960.
N. Metropolis, A.W. Rosenbluth, M.N. Rosenbluth, A.H. Teller, and E. Teller. Equations of state calculations by fast computing machines. Journal of Chemical Physics, 21:1087–1092, 1953.
H. Omre and K. B. Halvorsen. The Bayesian bridge between simple and universal kriging. Mathematical Geology, 21(7):767–786, 1989.
H. Omre, Knut Sølna, and H. Tjelmeland. Simulation of random functions on large lattices. Technical report, Norwegian Computing Center, 1991. NR-notat SAND/04/91.
G. J. G. Upton and B. Fingleton. Spatial Data Analysis by Example, Volume 2. Wiley, NY, 1989.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1994 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Georgsen, F., Egeland, T., Knarud, R., Omre, H. (1994). Conditional Simulation of Facies Architecture in Fluvial Reservoirs. In: Armstrong, M., Dowd, P.A. (eds) Geostatistical Simulations. Quantitative Geology and Geostatistics, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8267-4_19
Download citation
DOI: https://doi.org/10.1007/978-94-015-8267-4_19
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4372-6
Online ISBN: 978-94-015-8267-4
eBook Packages: Springer Book Archive