Joint Simulation of Grade and Rock Type in a Stratabound Copper Deposit

Maleki M.; Emery, X

Keywords: multi-gaussian model, plurigaussian model, joint modeling, Contact analysis, Geological heterogeneity

Abstract

This work deals with the joint simulation of copper grade (as a continuous regionalized variable) and rock type (as a categorical variable) in Lince–Estefanía deposit, located in northern Chile. The region under study is heterogeneous, containing three main rock types (intrusive, andesite and breccia bodies) with different copper grade distributions.To perform joint simulation, themulti-Gaussian and pluri- Gaussian models are used in a combined form. To this end, three auxiliary Gaussian random fields are considered, one for simulating copper grade, up to a monotonic transformation, and two for simulating rock types according to a given truncation rule. Furthermore, the dependence between copper grade and rock types is reproduced by considering cross correlations between these Gaussian random fields. To investigate the benefits of the joint simulation algorithm, copper grade and rock types are also simulated by the traditional cascade approach and the results are compared. It is shown that the cascade approach produces hard boundaries, that is, abrupt transitions of copper grades when crossing rock-type boundaries, a condition that does not exist in the study area according to the contact analysis held on the available data. In contrast, the joint simulation approach produces gradual transitions of the copper grade near the rock-type boundaries and is more suited to the actual data.

Más información

Título según WOS: Joint Simulation of Grade and Rock Type in a Stratabound Copper Deposit
Título según SCOPUS: Joint Simulation of Grade and Rock Type in a Stratabound Copper Deposit
Título de la Revista: Mathematical Geosciences
Volumen: 47
Número: 4
Editorial: Springer
Fecha de publicación: 2015
Página de inicio: 471
Página final: 495
Idioma: English
DOI:

10.1007/s11004-014-9556-8

Notas: ISI, SCOPUS - 1.777