SciELO - Scientific Electronic Library Online

vol.108 número5Local process investigations on composite electrodes: On the way to understanding design criteria for spray coated anodes in Zn electrowinningControl of the grain size distribution of the raw material mixture in the production of iron sinter índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados



Links relacionados

  • En proceso de indezaciónCitado por Google
  • En proceso de indezaciónSimilares en Google


Journal of the Southern African Institute of Mining and Metallurgy

versión On-line ISSN 2411-9717
versión impresa ISSN 0038-223X


EMERY, X.; ORTIZ, J.M.  y  CACERES, A.M.. Geostatistical modelling of rock type domains with spatially varying proportions: Application to a porphyry copper deposit. J. S. Afr. Inst. Min. Metall. [online]. 2008, vol.108, n.5, pp.284-292. ISSN 2411-9717.

Plurigaussian simulation allows constructing lithofacies or rock type models that reproduce the contacts between facies in accordance with the geologist's interpretation. Its implementation requires inferring the local facies proportions, but the uncertainty in the true proportions is not accounted for. The simpler model with constant facies proportions may not yield realistic results, due to the possibility of obtaining facies at locations where it is geologically unlikely to find them. This article presents a variation of the plurigaussian model, in which the facies proportions are represented by random fields. The realizations can be made conditional to soft geological information to account for local changes in the facies proportions. The model is illustrated via a case study of a porphyry copper deposit where four Gaussian random fields are simulated conditionally to drill hole data and to constraints on the probability of finding a given facies at specific locations (control points) in the deposit. Then the first two fields are truncated using the random thresholds defined by the last two, generating a three-facies model. The proposed random proportion model proves to be simple to use and to account for spatial variations of the geological characteristics and for the uncertainty in the facies proportions.

Palabras clave : categorical variable; lithofacies; truncated plurigaussian simulation; regionalized proportions.

        · texto en Inglés     · Inglés ( pdf )


Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons