Fast sequential indicator simulation: Beyond reproduction of indicator variograms

被引：5

作者：

Chu, JC ^{[1
]}

机构：

[1] STANFORD UNIV,STANFORD CTR RESERVOIR FORECASTING,STANFORD,CA 94305

来源：

MATHEMATICAL GEOLOGY | 1996年 / 28卷 / 07期

关键词：

sequential indicator simulation; partial ccdf determination; variogram interpolation; Berea dataset;

D O I：

10.1007/BF02066009

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Sequential Indicator Simulation (SIS), although widely used, is relatively slow, and requires tedious inference of a large number of indicator variogram models. SIS is designed only to estimate class proportions and to reproduce indicator variogram models; the statistics of the continuous attribute being simulated, z-histogram and variogram, may be poorly reproduced. Several implementations of the SIS algorithm are proposed resulting in better reproduction of statistics yet with better CPU performance.

引用

页码：923 / 936

页数：14

共 13 条

[1]

Alabert F.G., 1987, THESIS STANFORD U

[2]

Deutsch C. V., 1992, GSLIB GEOSTATISTICAL

[3]

Deutsch CV., 1992, THESIS STANFORD U

[4] STOCHASTIC RELAXATION, GIBBS DISTRIBUTIONS, AND THE BAYESIAN RESTORATION OF IMAGES [J].

GEMAN, S ;

GEMAN, D .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1984, 6 (06) :721-741

[5]

GIORDANO RM, 1985, 14365 SPE

[6]

GOMEZHEMANDEZ J, 1990, THESIS STANFORD U

[7]

Johnson M. E., 1987, MULTIVARIATE STAT SI

[8]

JOUMEL AG, 1989, SHORT COURSE GEOLOGY, V8

[9]

JOUMEL AG, 1993, GEOSTATISTICS TROIA, P213

[10]

JOUMEL AG, 1989, TERRA NOVA, V1, P123

← 1 2 →