The speed and complexity of globalisation and reduction of natural resources on the one hand, and interests of large multinational corporations on the other, necessitates proper management of mineral resources and consumption. The need for scientific research and application of new methodologies and approaches to maximise Net Present Value (NPV) within mining operations is essential. In some cases, drill core logging in the field may result in an inadequate level of information and subsequent poor diagnosis of geological phenomenon which may undermine the delineation or separation of mineralised zones. This is because the interpretation of individual loggers is subjective. However, modelling based on logging data is absolutely essential to determine the architecture of an orebody including ore distribution and geomechanical features. For instance, ore grades, density and RQD values are not included in conventional geological models whilst variations in a mineral deposit are an obvious and salient feature. Given the problems mentioned above, a series of new mathematical methods have been developed, based on fractal modelling, which provide a more objective approach. These have been established and tested in a case study of the Kahang Cu-Mo porphyry deposit, central Iran. Recognition of different types of mineralised zone in an ore deposit is important for mine planning. As a result, it is felt that the most important outcome of this thesis is the development of an innovative approach to the delineation of major mineralised (supergene and hypogene) zones from ‘barren’ host rock. This is based on subsurface data and the utilisation of the Concentration-Volume (C-V) fractal model, proposed by Afzal et al. (2011), to optimise a Cu-Mo block model for better determination of an ultimate pit limit. Drawing on this, new approaches, referred to Density–Volume (D–V) and RQD-Volume (RQD-V) fractal modelling, have been developed and used to delineate rock characteristics in terms of density and RQD within the Kahang deposit (Yasrebi et al., 2013b; Yasrebi et al., 2014). From the results of this modelling, the density and RQD populations of rock types from the studied deposit showed a relationship between density and rock quality based on RQD values, which can be used to predict final pit slope. Finally, the study introduces a Present Value-Volume (PV-V) fractal model in order to identify an accurate excavation orientation with respect to economic principals and ore grades of all determined voxels within the obtained ultimate pit limit in order to achieve an earlier pay-back period.

La nécessité de maximiser la récupération d'une ou plusieurs espèces utiles d'un gisement du cuivre, l´optimisation des consommations d'additifs dans le processus de traitement métallurgique, savoir où laisser les matériaux qui dans le futur pourraient être valorisés par une série de nouvelles opérations etc., conduit à adapter la planification minière aux caractéristiques géologiques et métallurgiques du gisement.Les unités géo-métallurgiques sont déterminées par une combinaison des principaux paramètres géologiques, type de roche, altération, minéralisation, etc. Chaque unité présente un comportement différent au processus de traitement métallurgiques avec des caractéristiques de récupération et de consommation d'acide bien spécifiques.D´une façon générale, on peut définir la planification de la mine comme un outil permettant de faire la liaison entre la géologie et la métallurgie, non seulement selon des paramètres économiques et de teneurs, mais aussi selon des paramètres géologiques et métallurgiques.Pour pouvoir construire le modèle géo-métallurgique ou géo-minier métallurgique (G.M.M) ainsi que mettre en oeuvre la catégorisation des ressources, nous avons utilisé des outils géostatistiquesLe fait de disposer d´un modèle G.M.M est d'une grande aide pour la définition de la fosse finale et la planification à long terme, soit simplement comme une première approche de la réponse du gisement au processus de traitement métallurgique, mais surtout pour optimiser les coûts et définir différentes alternatives pour maximiser la récupération du métal.Cette étude a été appliquée au cas du gisement stratiforme de Cu et Ag de Mantos de la Luna situé dans le Nord du Chili. Il comporte en particulier une comparaison entre l'approche traditionnelle et l'approche qui intègre le concept du modèle G.M.M. qui porte principalement sur les teneurs de coupure. Le concept G.M.M. peut donc influencer les décisions stratégiques comme les décisions opérationnelles. / The present research work concerns the general field of mining project set-up and is aimed at developing a new approach in long term mine planning. The main objective of this work is to incorporate the geo-metallurgical concept to mine planning which is traditionally based only on economic criteria.The need to maximize the recovery of one or more useful elements of a copper deposit, the optimization of reagents consumption in the metallurgical process, to know where to leave the materials which may be valorise in the future by a series of new operations, etc.. lead to fit mine planning and metallurgical geological features of the deposit. The geo-metallurgical units are determined by a combination of the main geological parameters, rock type, weathering, mineralization, etc... Each unit has a different behaviour in metallurgical process with specific values of recovery and acid consumption.The set-up of the geo-metallurgical mining model (GMM) and the resources categorization were made using geostatistical tools.Having a GMM model is a great help for the definition of the ultimate pit and long-term planning, as well as in a first approach of the response of the deposit to metallurgical process, but also to optimize costs and establish alternatives to maximize metal recovery.This work is based on the practical case of the Mantos de la Luna stratabound Cu and Ag deposit located in northern Chile. It proposes a methodology for resources classification of this type of deposit and includes a comparison between the traditional approach and the approach that integrates the concept of the GMM model.