291
grade variable but also in the density and volume variables for the stopes in an underground
mine.
The simulation of the grades was carried out and, from these models, their impact was
extended to the calculation of the density by regression and the design of the stopes, that is,
to their volume.
It has been demonstrated that it is possible to use this mathematical solution in mining
planning of an underground mine and to minimize the risk of not achieving the expected
metal production.
For this, a planning scenario was designed for each simulation of grade and calculated
value of density. Then the risk indicator for each stope was calculated and a prioritization
scale was created in the automatic scheduler, also observing the other restrictions of logical
scheduling.
The results showed that when performing the scheduling using the prioritization scale
based on the risk indicator, the variability of the stopes is lower in the early years of the plan.
In addition, a significant increase was observed in the NPV due to higher grade stopes also
present less variability.
As ore feeds the plant with more stable grade, in general, it improves the processing plant
recovery. It is expected with the application of the technique herein developed that the financial results are even better than those obtained.
REFERENCES
Clark, I.; White, B. Geostatistical modelling of an orebody as an aid to mine planning. 14th International APCOM Symposium, Pennsylvania, v. 14, p. 1004–1012, out. 1976.
Diedrich, C. Incorporação da variabilidade dos teores para análise de risco de recursos minerais e
sequenciamento de lavra. 2012. 187 f. Dissertação (Mestrado em Engenharia) – Programa de PósGraduação em Engenharia de Minas, Metalúrgica e de Materiais, Universidade Federal do Rio
Grande do Sul, Porto Alegre, 2012.
Mello, P.R.G. Planejamento de lavra sob a incerteza de teores aplicado à lavra subterrânea. 163 f. Dissertação (Mestrado em Engenharia) – Programa de Pós-Graduação em Engenharia de Minas, Metalúrgica e de Materiais, Universidade Federal do Rio Grande do Sul, Porto Alegre, 2015.
Peroni, R.L. Análise da sensibilidade o sequenciamento de lavra em função da incerteza do modelo
geológico. 2002. 143 f. Tese (Doutorado em Engenharia) – Programa de Pós-Graduação em Engenharia de Minas, Metalúrgica e de Materiais, Universidade Federal do Rio Grande do Sul, Porto
Alegre, 2002.
Souza, L.E. Proposição geoestatística para quantificação do erro em estimativas de tonelagens e teores.
2007. 218 f. Tese (Doutorado em Engenharia) – Programa de Pós-Graduação em Engenharia de
Minas, Metalúrgica e de Materiais, Universidade Federal do Rio Grande do Sul, Porto Alegre, 2007.
grade variable but also in the density and volume variables for the stopes in an underground
mine.
The simulation of the grades was carried out and, from these models, their impact was
extended to the calculation of the density by regression and the design of the stopes, that is,
to their volume.
It has been demonstrated that it is possible to use this mathematical solution in mining
planning of an underground mine and to minimize the risk of not achieving the expected
metal production.
For this, a planning scenario was designed for each simulation of grade and calculated
value of density. Then the risk indicator for each stope was calculated and a prioritization
scale was created in the automatic scheduler, also observing the other restrictions of logical
scheduling.
The results showed that when performing the scheduling using the prioritization scale
based on the risk indicator, the variability of the stopes is lower in the early years of the plan.
In addition, a significant increase was observed in the NPV due to higher grade stopes also
present less variability.
As ore feeds the plant with more stable grade, in general, it improves the processing plant
recovery. It is expected with the application of the technique herein developed that the financial results are even better than those obtained.
REFERENCES
Clark, I.; White, B. Geostatistical modelling of an orebody as an aid to mine planning. 14th International APCOM Symposium, Pennsylvania, v. 14, p. 1004–1012, out. 1976.
Diedrich, C. Incorporação da variabilidade dos teores para análise de risco de recursos minerais e
sequenciamento de lavra. 2012. 187 f. Dissertação (Mestrado em Engenharia) – Programa de PósGraduação em Engenharia de Minas, Metalúrgica e de Materiais, Universidade Federal do Rio
Grande do Sul, Porto Alegre, 2012.
Mello, P.R.G. Planejamento de lavra sob a incerteza de teores aplicado à lavra subterrânea. 163 f. Dissertação (Mestrado em Engenharia) – Programa de Pós-Graduação em Engenharia de Minas, Metalúrgica e de Materiais, Universidade Federal do Rio Grande do Sul, Porto Alegre, 2015.
Peroni, R.L. Análise da sensibilidade o sequenciamento de lavra em função da incerteza do modelo
geológico. 2002. 143 f. Tese (Doutorado em Engenharia) – Programa de Pós-Graduação em Engenharia de Minas, Metalúrgica e de Materiais, Universidade Federal do Rio Grande do Sul, Porto
Alegre, 2002.
Souza, L.E. Proposição geoestatística para quantificação do erro em estimativas de tonelagens e teores.
2007. 218 f. Tese (Doutorado em Engenharia) – Programa de Pós-Graduação em Engenharia de
Minas, Metalúrgica e de Materiais, Universidade Federal do Rio Grande do Sul, Porto Alegre, 2007.