NI 43-101 Preliminary Economic Assessment - Verde Potash
NI 43-101 Preliminary Economic Assessment - Verde Potash
NI 43-101 Preliminary Economic Assessment - Verde Potash
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<strong>Verde</strong> <strong>Potash</strong> Plc 10-3<br />
Cerrado <strong>Verde</strong> Project<br />
<strong>NI</strong> <strong>43</strong>-<strong>101</strong> <strong>Preliminary</strong> <strong>Economic</strong> <strong>Assessment</strong><br />
Information about internal quality control was presented as a single data batch, without<br />
separation of the samples by grade ranges. Two evaluation methods were used, simple linear<br />
regression and QQ (Quantile Quantile) plot.<br />
One of the parameter used in the results analyzes was the precision. Precision is a measure of<br />
how well the Y value represents the X value. It is most commonly used in assay quality control,<br />
where X is the first assay value and Y is the matching repeat assay. A perfect result has a<br />
precision of zero. Values of greater than zero represent an increasing amount of deviation; for<br />
example a precision of 10% indicates that the difference between X and Y varies by around 10%<br />
of X. The tests for K 2 O, P 2 O 5 , Al 2 O 3 , Fe 2 O 3 , SiO 2 , MgO and TiO 2 , had a high quality and<br />
accuracy in the statistical analysis, with precision accuracy lower than 5%. For MnO and Na 2 O,<br />
the tests showed a precision accuracy lower than 15%, and for CaO, the tests showed a precision<br />
accuracy higher than 15%. The numbers of tests provided are statistically representative.<br />
Precision of the Chemical Analysis<br />
The sampling precision was evaluated using the method of repeated analysis for K 2 O, P 2 O 5 ,<br />
CaO, Al 2 O 3 , Fe 2 O 3 , SiO 2 , MgO, TiO 2 , MnO, Na 2 O and LOI. In a total of 3244 samples, 108<br />
were re-examined, representing 3.3% of the total number of tests.<br />
Information on internal quality control was presented as a single data batch, without separation<br />
of the samples by grade ranges. Was used two evaluation methods, simple linear regression and<br />
QQ (Quantile Quantile) plot.<br />
In general, the tests for K 2 O, Al 2 O 3 , Fe 2 O 3 , MgO, TiO 2 and SiO 2 , had a high quality and<br />
accuracy in the statistical analysis, with accuracy higher than 5%. To P 2 O 5 , CaO, MnO and<br />
Na 2 O, tests showed a precision up to 12%.<br />
The correlation coefficient of the samples values of regular control is above 0.9, allowing it to<br />
conclude that tests for the most important elements for the mineralization in study were<br />
conducted with a satisfactory and acceptable accuracy.<br />
Inaccuracy<br />
The inaccuracy was determined as a difference in Fe 2 O 3 , SiO 2 , Al 2 O 3 , P 2 O 5 , Mn, TiO 2 , CaO,<br />
MgO, K2O, Na2O e LOI in samples, between the values determined by SGS and those<br />
determined by an independent laboratory ALS.<br />
The external control was conducted for the purpose of determination of systematic inaccuracy in<br />
the results of principal analytical laboratory. The value of the systematic inaccuracy was<br />
estimated by the same formula as used for the internal control.<br />
The number of repeated tests is 119, which is 3.6% from the total number of tests 3244.<br />
In whole, the analysis of data for each laboratory demonstrates good precision of data with high<br />
coefficient of correlation R > 0.98.<br />
The total number of control external tests is sufficient. According to the analysis of external<br />
control data, the accuracy of principal laboratories can be rated as satisfactory.<br />
Standards<br />
For quality control were used 174 standard samples, which represent 5.3% of the total number of<br />
analyzed samples.<br />
SRK Consulting (U.S.), Inc. September 16, 2011<br />
Cerrado <strong>Verde</strong>_<strong>NI</strong> <strong>43</strong>-<strong>101</strong> PEA_3<strong>43</strong>500.020_007_KG