9
2 meters that encompass gold (Au) and silver (Ag) miner-
als to the consideration of the potency of these structures
at a real thickness. Performing variogram data, through
clustering of composite data, systems and veins, enriches
our understanding of the spatial variability of minerals of
interest.
The inclusion of Au and Ag elements in vein evaluation
is essential to ensure the accuracy of the results. This high-
lights the crucial importance of considering mineral grades,
a fundamental aspect in the resource estimation process,
where these grades are critical indicators to evaluate the
economic potential and viability of exploitation of the area.
Likewise, when addressing the estimation of resources
(inferred, indicated and measured) in the Project, key
parameters have been considered, such as the minimum
Table 9. Total Resources measured and indicated
Grade Block Tn AuEq (g/t)
AuID
(g/t)
AgID
(g/t)
THK
(m) Fines (Oz)
0 1,622,327 3.40 1.30 125 3.20 177,336
0.5 1,494,910 3.66 1.41 135 3.35 176,148
1 1,344,494 3.99 1.54 147 3.48 172,553
1.5 1,089,665 4.63 1.79 170 3.68 162,341
2 853,845 5.44 2.11 199 3.66 149,268
2.5 674,132 6.29 2.46 230 3.47 136,321
3 566,017 6.97 2.76 255 3.38 126,841
3.5 507,965 7.40 2.95 270 3.38 120,798
4 449,132 7.88 3.15 286 3.39 113,718
4.5 401,275 8.31 3.33 300 3.42 107,217
5 361,123 8.71 3.52 314 3.47 101,084
5.5 303,347 9.36 3.85 334 3.54 91,328
6 270,066 9.81 4.07 349 3.54 85,191
6.5 228,177 10.47 4.38 373 3.54 76,806
7 201,156 10.97 4.59 391 3.63 70,940
10 99,379 13.74 5.90 479 3.88 43,885
Figure 16. Grade- Tonnage Curves with Resource total
measured, indicated, inferred
Figure 17. Grade- Tonnage Curves with Resource total
inferred
Figure 18. Grade- Tonnage Curves with Resource total
measured and indicated
Previous Page Next Page