XXXI International Mineral Processing Congress 2024 Proceedings/Washington, DC/Sep 29–Oct 3 1567
predictive statistical models and the estimation of explana-
tory variables within the structure of the block model.
For the Abóboras model, regressions were applied across
44,910 blocks, encompassing 13,343 compact itabirite
blocks and 31,546 friable itabirite blocks. In instances
where ore types were not explicitly covered by the statistical
models, the median values observed in process tests were
employed. The spatial geometallurgical models shown in
Figure 8 offer valuable insights into both mass and met-
allurgical recoveries throughout the mineral deposit. The
mean Mass Recovery values assigned to the blocks totaled
42.9%, with a median of 44.6%. Conversely, Metallurgical
Recovery exhibited an average value of 73.9% across the
blocks, with a median of 75.8%. The range extended from
a minimum value of 20.3% to a maximum of 54.7% for
Mass Recovery and from 50.1% to 97.5% for Metallurgical
Recovery. Notably, blocks featuring diminished recovery
values were predominantly clustered in the southern and
northeastern sectors of the model, highlighting spatial het-
erogeneity within the ore body.
In terms of energy requirement, the spatial distribu-
tion revealed an average value of 5.1 kWh/t across the
blocks, with a median of 4.6 kWh/t. However, there was
considerable variability, with energy requirements ranging
from 1.5 kWh/t to 9.3 kWh/t. Blocks exhibiting higher
energy requirements tended to concentrate in the north-
eastern region of the model. Similarly, SiO2 content in the
concentrate exhibited spatial variability, with an average
value of 1.2% and a median of 1.0% across the blocks. The
range extended from a minimum of 0.5% to a maximum
of 4.3%. Blocks with higher SiO2 content in the concen-
trate were primarily situated in the central and northeast-
ern regions of the model, indicating localized mineralogical
variations (Figure 9).
The analysis was extended to include the Horizontes
deposit, where regressions were applied to a total of 20,987
Figure 8. Abóboras spatial geometallurgical models for mass
and metallurgical recoveries, respectively
Figure 9. Abóboras spatial geometallurgical models for
energy requirement and SiO
2 content in the concentrate,
respectively
predictive statistical models and the estimation of explana-
tory variables within the structure of the block model.
For the Abóboras model, regressions were applied across
44,910 blocks, encompassing 13,343 compact itabirite
blocks and 31,546 friable itabirite blocks. In instances
where ore types were not explicitly covered by the statistical
models, the median values observed in process tests were
employed. The spatial geometallurgical models shown in
Figure 8 offer valuable insights into both mass and met-
allurgical recoveries throughout the mineral deposit. The
mean Mass Recovery values assigned to the blocks totaled
42.9%, with a median of 44.6%. Conversely, Metallurgical
Recovery exhibited an average value of 73.9% across the
blocks, with a median of 75.8%. The range extended from
a minimum value of 20.3% to a maximum of 54.7% for
Mass Recovery and from 50.1% to 97.5% for Metallurgical
Recovery. Notably, blocks featuring diminished recovery
values were predominantly clustered in the southern and
northeastern sectors of the model, highlighting spatial het-
erogeneity within the ore body.
In terms of energy requirement, the spatial distribu-
tion revealed an average value of 5.1 kWh/t across the
blocks, with a median of 4.6 kWh/t. However, there was
considerable variability, with energy requirements ranging
from 1.5 kWh/t to 9.3 kWh/t. Blocks exhibiting higher
energy requirements tended to concentrate in the north-
eastern region of the model. Similarly, SiO2 content in the
concentrate exhibited spatial variability, with an average
value of 1.2% and a median of 1.0% across the blocks. The
range extended from a minimum of 0.5% to a maximum
of 4.3%. Blocks with higher SiO2 content in the concen-
trate were primarily situated in the central and northeast-
ern regions of the model, indicating localized mineralogical
variations (Figure 9).
The analysis was extended to include the Horizontes
deposit, where regressions were applied to a total of 20,987
Figure 8. Abóboras spatial geometallurgical models for mass
and metallurgical recoveries, respectively
Figure 9. Abóboras spatial geometallurgical models for
energy requirement and SiO
2 content in the concentrate,
respectively