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A OPEN PIT MINING AÇIK OCAK MADENCİLİĞİ

A OPEN PIT MINING AÇIK OCAK MADENCİLİĞİ

A OPEN PIT MINING AÇIK OCAK MADENCİLİĞİ

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23 rd <br />

A Genetic Algorithm for Pit Limit and Blending Optimization<br />

M. Rahmanpour, M. Osanloo<br />

Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran<br />

ABSTRACT Pit limit is the set of those blocks that are profitable to be exploited by open pit<br />

mining methods. In traditional pit limit optimization techniques, one cannot take into account<br />

the requirements of blending. Some commodities such as iron ore, coal, limestone, and<br />

industrial minerals need to be blended to provide a product that suits consumer’s<br />

requirements. In this paper a combination of genetic and pit design algorithms is used to<br />

determine the pit limit of an open pit mine considering the blending requirements. The<br />

approach uses a self-adaptive differential evolution algorithm (jDE) to selects those blocks<br />

that meet the blend requirements, then modifies the block values, and determines the pit<br />

limits. The resulting pit is a set of those blocks that are profitable to be exploited and blended<br />

by open pit mining.<br />

1 INTRODUCTION<br />

Developing a ‘Geological block model’ is<br />

the first step in computerized mine planning.<br />

In order to construct the Geological block<br />

model of the deposit, the ore deposit or the<br />

orebody is divided into fixed size rectangular<br />

part which is called a ‘block’. The size of<br />

blocks depends on the exploration drilling<br />

pattern, orebody geology and the size of<br />

mining equipment. After determining the<br />

block dimensions, geological characteristics<br />

of each block are assigned using inverse<br />

distance, geostatistical methods, conditional<br />

simulation or other available techniques.<br />

This set of blocks which is based upon level<br />

of geological knowledge and confidence, is<br />

called a ‘Geological block model’. Then,<br />

using economic data (selling price, operating<br />

costs, recoveries, mining and processing<br />

costs), the economic value of each block or<br />

"Block Economic Value" (BEV) will be<br />

calculated. The block model containing the<br />

BEVs is called "Economic block model".<br />

The aim of mine planning is to determine<br />

whether a given set of blocks should be<br />

mined or not, if so, at which time it should be<br />

mined, and once it is mined, how it should<br />

then be processed, to maximize the net<br />

present value of the operation (Dagdelen,<br />

2007).<br />

Determining the final pit outline is the<br />

initial step of mine planning. It determines<br />

the set of blocks with the highest profit,<br />

which could be exploited by open pit mining.<br />

The solution to the final pit limits problem is<br />

usually used to justify the project<br />

economically and it is also a guide to the<br />

mine planner to locate the mine site facilities.<br />

There are many methods introduced by<br />

researchers to determine and optimize the<br />

ultimate pit limit (Newman et al. 2010).<br />

Before applying any of the pit limit<br />

optimization techniques, BEVs should be<br />

calculated through this formula:<br />

BEV = (metal content) × price × recovery<br />

(1)<br />

- processing costs - mining costs<br />

Equation 1 is true when it is applied to<br />

mineral such as gold, copper, and diamond.<br />

When it comes to mineral like iron ore, coal,<br />

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