41 lines
No EOL
1.1 KiB
Text
41 lines
No EOL
1.1 KiB
Text
# Description
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The process began with utilizing average weighted grade data from a table to determine the recovery rate and processing costs. These values were then applied in the cut-off grade calculation: Cut-Off Grade = Processing Cost / ((Net Price) * Recovery). The average weighted grade and net price were sourced directly from the table. Finally, Python was employed to create graphs illustrating the cut-off grade, recovery rate, and processing cost trends.
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Cut-Off Grade = Processing Cost / ((Net Price) * Recovery)
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Recovery = Rmax * (1 − e^(−k*G))
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Processing Cost = a + b*G
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# Processing Cost Formulas
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1. Fixed + Grade-Dependent Cost Model
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processing cost = C0 + C1/G
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2. Regression from Real Cost Data (Realist)
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Linear: C = a + bG
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Inverse or Logarithmic: C = a + b/G or C = a*log(G) + b
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3. Tabulated Cost Based on Grade
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Table equivalent for the given grade
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# Recovery Formulas
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1. Empirical Linear Model
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recovery = a + b × grade
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2. Exponential or Logistic Model (Realist)
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recovery = Rmax x (1−e^(−k⋅G))
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3. Stepwise or Tabulated Recovery
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Table equivalent for the given grade |