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Geostatistical Modeling of Facies

Authors :
Y. Z. Ma
Source :
Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling ISBN: 9783030178598
Publication Year :
2019
Publisher :
Springer International Publishing, 2019.

Abstract

Because facies are nominal variables, their modeling methods are different from the modeling methods for continuous variables. Kriging and stochastic simulation methods presented in Chaps. 16 and 17 cannot be directly used for construction of a facies model; they can be modified for facies modeling, or totally different methods are used. Although facies are often modeled before modeling petrophysical variables, modeling methods for continuous variables were presented in the earlier chapters because it is easier to understand facies modeling methods after understanding kriging and stochastic simulation for continuous variables. This chapter presents several facies modeling methods, including indicator kriging, sequential indicator simulation and its variations, object-based modeling, truncated Gaussian and plurigaussian simulations, and simulation using multipoint statistics.

Details

ISBN :
978-3-030-17859-8
ISBNs :
9783030178598
Database :
OpenAIRE
Journal :
Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling ISBN: 9783030178598
Accession number :
edsair.doi...........b70cdb18da80bd2f69ff9c1fe59ca979
Full Text :
https://doi.org/10.1007/978-3-030-17860-4_18