Semi-Markov Random Fields

作者: Håkon Tjelmeland , Lars Holden

DOI: 10.1007/978-94-011-1739-5_38

关键词:

摘要: The spatial distribution of sedimentary fades in petroleum reservoirs is major concern due to its influence on the flow regime reservoir, and thereby production oil gas. A class stochastic models, called semi-Markov Random Fields, for facies presented. Semi-Markov Fields are a sub-class Markov Field models. model parameters have, contrast usual with local neighborhood, clear physical interpretation as size distributions homogeneous volumes border relations. can be regarded three dimensional generalization well known chain one dimension. Simulation results both from neighborhood

参考文章(8)
J. Laurie Snell, Ross Kindermann, Markov Random Fields and Their Applications ,(1980)
Stuart Geman, Donald Geman, Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. PAMI-6, pp. 721- 741 ,(1984) , 10.1109/TPAMI.1984.4767596
Julian Besag, Spatial Interaction and the Statistical Analysis of Lattice Systems Journal of the Royal Statistical Society: Series B (Methodological). ,vol. 36, pp. 192- 225 ,(1974) , 10.1111/J.2517-6161.1974.TB00999.X
Gerhard Winkler, AN ERGODIC L2-THEOREM FOR SIMULATED ANNEALING IN BAYESIAN IMAGE RECONSTRUCTION Journal of Applied Probability. ,vol. 27, pp. 779- 791 ,(1990) , 10.2307/3214822
Brian D. Ripley, Stochastic Simulation ,(1987)
D. Stoyan, W. S. Kendall, J. Mecke, Stochastic Geometry and Its Applications. Biometrics. ,vol. 45, pp. 699- ,(1989) , 10.2307/2531521