Plurigau: a computer program for simulating spatial facies using the truncated Plurigaussian method

Authors:
P. A. Dowd;E. Pardo-Igúzquiza;C. Xu
Affiliations:
Department of Mining and Mineral Engineering, University of Leeds, Leeds LS2 9JT, UK;Department of Mining and Mineral Engineering, University of Leeds, Leeds LS2 9JT, UK;Department of Mining and Mineral Engineering, University of Leeds, Leeds LS2 9JT, UK
Venue:
Computers & Geosciences
Year:
2003

Citing 4
Cited 4

Numerical recipes in FORTRAN (2nd ed.): the art of scientific computing

Numerical recipes in FORTRAN (2nd ed.): the art of scientific computing
Calculation of the normal scores variogram used for truncated Gaussian lithofacies simulation: theory and FORTRAN code

Computers & Geosciences
A More Portable Fortran Random Number Generator

ACM Transactions on Mathematical Software (TOMS)
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,

Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,

Simulation of geological domains using the plurigaussian model: New developments and computer programs

Computers & Geosciences
A flexible true plurigaussian code for spatial facies simulations

Computers & Geosciences
A clipped latent variable model for spatially correlated ordered categorical data

Computational Statistics & Data Analysis
Truncated Gaussian simulation of discrete-valued, ordinal coregionalized variables

Computers & Geosciences

Quantified Score

Hi-index	0.00

Visualization

Abstract

Truncated plurigaussian simulation is a useful method for simulating spatial categorical variables, such as facies, in a geological context. The method is an extension of the truncated Gaussian method that retains the main advantages of the latter (mainly that it produces permissible sets of indicator semi-variograms and cross-semi-variograms) but overcomes its limitations (the truncated Gaussian method only reproduces sequentially ranked categories). The method is based on the truncation of two Gaussian random functions that may, or may not, be correlated. PLURIGAU is an ANSI Fortran-77 computer program for performing conditional or unconditional truncated plurigaussian simulations of spatial categories. The number of facies, spatial relations between the facies, proportions of each facies, indicator semi-variograms and indicator cross-semi-variograms must be known or estimated from experimental data. The program calculates the four thresholds for each of the facies (two for each of the Gaussian random functions) and the covariance models for the two Gaussian random functions.The simulation of the Gaussian random functions may be done using any of the methods available. Conditioning has been implemented by a simple acceptance-rejection technique embedded within sequential Gaussian simulation algorithm. A case study is provided so that the implementation of the programs can be checked and the results are discussed.