2024 - Sustainable Industrial Processing Summit
SIPS 2024 Volume 2. Anastassakis Intl. Symp / Mineral Processing
| Editors: | F. Kongoli, L. Andric, K. Aravossis, V. Chanturiya, I. Chatjigeorgiou, D. Fuerstenau, C. Kavalopoulos, C. O'Connor, V. Panayotov, J. Rubinstein |
| Publisher: | Flogen Star OUTREACH |
| Publication Year: | 2024 |
| Pages: | 384 pages |
| ISBN: | 978-1-998384-06-8 (CD) |
| ISSN: | 2291-1227 (Metals and Materials Processing in a Clean Environment Series) |
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MAFMINE: A QUICK EVALUATION TOOL FOR MINERAL PROCESSING COSTS
Carlos Petter1; Renato Petter1; Weslei Ambros1; Tracy Fernandez1;1FEDERAL UNIVERSITY OF RIO GRANDE DO SUL, Porto Alegre, Brazil;
Type of Paper: Regular
Id Paper: 248
Topic: 5
Abstract:
In the mining industry, one of the main concerns is estimating costs in order to carry out projects efficiently and profitably. MAFMINE is a tool that provides quick and effective results for decision-making. My research was carried out using two parametric equation modeling methodologies, mainly manuals were studied (Bureau of Mines Cost Estimating System Handbook and Costs and Cost Estimation of T. Alan O'Hara and Stanley C. Suboleski), this work focuses on the area of mineral processing, the estimates for operations in processing plant. The parametric equations proposed and added in the plant area make it possible to estimate the processing costs of various circuits, which are fundamental for future plant facility design. These equations also make it possible to estimate the cost of implementations within mineral processing, which in turn allows the most appropriate option to be selected based on the characteristics of each ore. Each methodology has its own advantages and disadvantages, so it was necessary to select appropriate standardization factors. Once the cost estimation tool had been updated with the new parametric equations obtained, it was applied to specific case studies. The results obtained demonstrate the tool's reliability. In conclusion, the study of parametric equation modeling methodologies has made it possible to update a cost estimation tool in the area of mineral processing plants. The inclusion of more parametric equations to estimate mineral processing costs will enable better decisions to be made.