Journal of Mines, Metals and Fuels

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Geological Resource Modelling and Mine Planning of a Surface Limestone Deposit


Affiliations
1 Department of Mining Engineering, IIT (ISM) Dhanbad., India

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As the mines are growing bigger the need for the advancement has also increased. The computer aided mine planning and design techniques have come as an advantage for mining industry. This project aims to exhibit the implementation of computer aided mine planning and design techniques in mining industry which gives more accuracy and reliability of mine plan. Opencast mine planning is a multi-parameter optimization problem which requires simultaneous solution. This project emphasis on the optimized planning of limestone mine where the ore is categorized into lithologies on the basis of percentage of CaO present. It uses software such as SURPAC for geological modelling, block modelling, ore reserve estimation using geostatistical model and pit design. The estimation is done using Kriging which shows that the percentage of CaO varies from 30.24% to 47.05% which helps in determining the minable ore. It also aims at the optimization of various techno-economic parameters which play vital role in mine planning and design aspects.

Keywords

SURPAC, Kriging, Geological modelling, Reserve estimation, Block model.
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  • Geological Resource Modelling and Mine Planning of a Surface Limestone Deposit

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Authors

Manas Kumar Mallick
Department of Mining Engineering, IIT (ISM) Dhanbad., India
Bhanwar S Choudhary
Department of Mining Engineering, IIT (ISM) Dhanbad., India
Gnananandh Budi
Department of Mining Engineering, IIT (ISM) Dhanbad., India

Abstract


As the mines are growing bigger the need for the advancement has also increased. The computer aided mine planning and design techniques have come as an advantage for mining industry. This project aims to exhibit the implementation of computer aided mine planning and design techniques in mining industry which gives more accuracy and reliability of mine plan. Opencast mine planning is a multi-parameter optimization problem which requires simultaneous solution. This project emphasis on the optimized planning of limestone mine where the ore is categorized into lithologies on the basis of percentage of CaO present. It uses software such as SURPAC for geological modelling, block modelling, ore reserve estimation using geostatistical model and pit design. The estimation is done using Kriging which shows that the percentage of CaO varies from 30.24% to 47.05% which helps in determining the minable ore. It also aims at the optimization of various techno-economic parameters which play vital role in mine planning and design aspects.

Keywords


SURPAC, Kriging, Geological modelling, Reserve estimation, Block model.

References





DOI: https://doi.org/10.18311/jmmf%2F2023%2F34488