Stockyard management integrated into short-term mine planning using dynamic block modeling

Abstract Some open-pit mining operations rely heavily on stockyards as temporary storage areas. In addition to its conventional purpose, it is regarded as an excellent way for blending deposited material, which reduces fluctuation in the grade of material provided to the processing plant. However, traceability of the grade of material in the stockyard poses considerable issues due to the necessity for more specific information about the stored material. This study aims to create a block model for the stockyard using programming based on an integrated database, incorporating critical information from fleet management systems, geology, and topography. The model is generated in a widely compatible format that can be imported into any planning software for further analysis. Geostatistical estimation was excluded from this investigation due to the uneven distribution of mineral grades and the low precision of truck GPS. Subsequently, short-term planning for stockyard reclaiming is carried out using block modeling, primarily satisfying the beneficiation plant's production demands. Results showed 100% adherence to permissible limits of plant feed grade compared to 33% in the absence of incorporating variables. Properly integrating these components aims to improve operational efficiency and the quality of material input to the processing plant, aiding mining engineers in managing the stockyard and developing more robust short-term plans.

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Publication Details

Journal
REM - International Engineering Journal
Published
2025-01-01
DOI
https://doi.org/10.1590/0370-44672024780040
Primary Topic
Mining Techniques and Economics
Type
article
Field-Weighted Citation Impact
0.00

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article

Stockyard management integrated into short-term mine planning using dynamic block modeling

Giorgio de Tomi, Irfan Ullah, Rafael Josimar Araos Huaman
REM - International Engineering Journal
Mining Techniques and Economics
article

Stockyard management integrated into short-term mine planning using dynamic block modeling

Giorgio de Tomi, Irfan Ullah, Rafael Josimar Araos Huaman
article en

Abstract

Abstract Some open-pit mining operations rely heavily on stockyards as temporary storage areas. In addition to its conventional purpose, it is regarded as an excellent way for blending deposited material, which reduces fluctuation in the grade of material provided to the processing plant. However, traceability of the grade of material in the stockyard poses considerable issues due to the necessity for more specific information about the stored material. This study aims to create a block model for the stockyard using programming based on an integrated database, incorporating critical information from fleet management systems, geology, and topography. The model is generated in a widely compatible format that can be imported into any planning software for further analysis. Geostatistical estimation was excluded from this investigation due to the uneven distribution of mineral grades and the low precision of truck GPS. Subsequently, short-term planning for stockyard reclaiming is carried out using block modeling, primarily satisfying the beneficiation plant's production demands. Results showed 100% adherence to permissible limits of plant feed grade compared to 33% in the absence of incorporating variables. Properly integrating these components aims to improve operational efficiency and the quality of material input to the processing plant, aiding mining engineers in managing the stockyard and developing more robust short-term plans.

REM - International Engineering JournalVol. 78(2)
Universidade de São Paulo (BR), Universidade Brasil (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 94%
Mining Techniques and Economics
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Stockyard management integrated into short-term mine planning using dynamic block modeling — Giorgio de Tomi, Irfan Ullah, et al. · REM - International Engineering Journal (2025) | TGRS Research Map | TGRS