Use of mine planning software for the evaluation of resources and reserves of a sedimentary nickel deposit

Η χρήση λογισμικού μεταλλευτικού σχεδιασμού για την αξιολόγηση κοιτασμάτων και την εκτίμηση ορυκτών πόρων και αποθεμάτων είναι διαδεδομένη και θεωρείται προϋπόθεση για την αναφορά αποθεμάτων με βάση διεθνή πρότυπα και κώδικες αναφοράς. Οι βασικές αρχές λειτουργίας και εφαρμογής αυτών των κωδικών είναι η διαφάνεια του αναφερόμενου υλικού, η σχετικότητα των αναφερόμενων πληροφοριών (ουσιαστικότητα) και η επάρκεια των ατόμων που εμπλέκονται στην παραγωγή των αναφορών. Η εφαρμογή ειδικού λογισμικού μεταλλευτικού σχεδιασμού που περιγράφεται στην εργασία αυτή λαμβάνει χώρα στα λειτουργικά μεταλλεία ιζηματογενών κοιτασμάτων νικελίου στην Κεντρική Εύβοια. Περιλαμβάνει όλα τα στάδια της επεξεργασίας ερευνητικών δεδομένων συμπεριλαμβανομένης της εισαγωγής, ανάλυσης, επεξεργασίας και μοντελοποίησης των δεδομένων, της γεωστατιστικής εκτίμησης των ποσοτήτων και ποιοτήτων των ορυκτών πόρων και αποθεμάτων, και το σχεδιασμό, βελτιστοποίηση και προγραμματισμό των μεταλλευτικών δραστηριοτήτων.The use of mine planning software in the evaluation of deposits and estimation of mineral resources and reserves has become widespread and is considered a prerequisite for the reporting of reserves according to international reporting standards and codes. The main principles of operation and application of these codes are transparency of reported material, the relevance of reported information (materiality) and the competence of people involved in producing the reports. The application of specialised mine planning software described in this paper currently takes place at operational mines of sedimentary nickel deposits in Central Evia, Greece. It involves all stages of processing of exploration data including entry, analysis, processing and modelling of data, geostatistical estimation of quantities and qualities of mineral resources and mineral reserves, and the design, optimisation and scheduling of mining operations

Implementation of reporting code guidelines for mineral resources and mineral reserves using a general mine planning package

The mining industry worldwide has recognized in the past the need to apply specific rules and guidelines in the reporting of mineral resources and reserves. The high financial investment and risk associated with any mining project and the ever stricter environmental and social controls were the forces behind this recognition. For years the industry experienced the development and enforcement of several codes for reporting accepted by different countries. The implementation of any code can be a confusing task as the guidelines are sometimes general and open to different interpretation. The use of computers in the estimation and reporting of mineral resource

Maptek/KRJA Systems Ltd.

Environmental management and planning requires the integration of large volumes of disparate information from many sources and the analysis of this information with efficient tools for assessment and evaluation. Effective methods of communication that allow interactive participation in the planning, assessment and decision-making processes are also very important. The VULCAN software package from Maptek (Pty) Ltd comprises a large number of 3D graphical tools within an interactive 3D interface called ENVISAGE. These tools are designed and developed to help engineers and scientists to identify and solve environmental problems. The combination of VULCAN 3D Software and the I-SiTE 3D Laser Imaging system leads to powerful solutions for environmental management. This paper presents the capabilities of this integrated system and its applications for environmental management. 1

1.1 Mine Planning Software – A Historical

ABSTRACT: Modern mine planning software plays a crucial role in the operation of many of the world’s mining operations and projects. Mine planning software provides the mining industry with a fast, accurate, cost effective and efficient tool in order to manage their business interests worldwide. Every aspect of the mining industry is today using some form of mine planning software. From exploration to rehabilitation, the use of software is becoming more and more widespread. Mine planning software companies are constantly under pressure to evolve products to meet new challenges and solve new problems. Development of software is a result of both programming foresight and reaction to industry demands. Without mining industry feedback, many of the products now available would probably not have been developed. Mining software is an extremely competitive market which constantly drives the levels of development to new heights. This paper discusses some of the most important new tools and technologies incorporated in modern mine planning software and presents potential areas of improvement and further development

Mine Planning and Equipment Selection 2002 GRADE INTERPOLATION USING RADIAL BASIS FUNCTION NETWORKS

ABSTRACT: This paper analyses the application of Radial Basis Function (RBF) networks in grade interpolation. These networks are a very unique member of the family of Artificial Neural Networks. RBF networks have such theoretical properties that establish them as a potential alternative to existing grade interpolation techniques. Their suitability to the problem of grade interpolation will be demonstrated in this paper both theoretically and through a number of case studies from real and simulated mineral deposits.

Mine Planning and Equipment Selection 2002 ARTIFICIAL NEURAL NETWORK TECHNOLOGY IN MINING AND ENVIRONMENTAL APPLICATIONS

ABSTRACT: A number of mining and environmental related problems have been approached using ANN technology. These problems commonly relate to pattern classification, prediction and optimisation. ANNs have been successfully applied to these areas and are therefore suitable for similar mining and environmental problems. The general trend in the mining industry for automation to the greatest degree calls for technologies such as the ANNs that can utilise large amounts of data for the development of models which otherwise are very difficult or sometimes even impossible to identify. The examples presented in this paper support the choice of ANNs as the basis for developing solutions to mining and environmental problems were conventional techniques fail in one way or another.