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24-MMP-A4 Mine Valuation and Mineral Resource Estimation · May 2017

Question 11 of 18: Component and Total Mining Costs at 50,000 t/day

Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)

Notes on this paper

EGBC National Exam — Mining and Mineral Processing Engineering, 09-MMP-A4 Mine Valuation and Mineral Resource Estimation, 2017-May. 3 hours duration; one handwritten 8.5×11 in reference sheet permitted (not an open-book exam); only approved Sharp or Casio calculators allowed. Question 1 is compulsory (40 marks, parts 1.1–1.6); candidates then select THREE of the five optional Questions 2–6 (20 marks each) to complete the paper.

Reference texts: Isaaks & Srivastava, An Introduction to Applied Geostatistics (variogram modelling, kriging estimators, volume–variance relations); Hustrulid, Kuchta & Martin, Open Pit Mine Planning and Design (mine valuation, NPV and cut-off grade methodology, mineable reserves); Gentry & O'Neil, Mine Investment Analysis (Canadian mining taxation, smelter/refining contract terms, net smelter return, transportation logistics); SME Mining Engineering Handbook, 3rd ed. (cost-estimating relationships, mineral exploration/evaluation stages, ore reserve classification); Evans, An Introduction to Ore Geology and Guilbert & Park, The Geology of Ore Deposits (ore deposit models); CIM Best Practice Guidelines and NI 43-101 (Canadian Securities Administrators).

Question 3.2: Component and Total Mining Costs at 50,000 t/day (15 marks)

Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.

Given.

ComponentCost-per-day formula ($, T in t/d)
Drilling2.85 T0.7
Blasting4.76 T0.7
Loading4.01 T0.7
Haulage27.10 T0.6
General9.98 T0.7
Daily tonnage, T50,000 t/day (ore + waste)

Find. Cost per day and per tonne, for each component and in total, at T=50,000 t/day.

Approach. Evaluate T0.7 and T0.6 once at T=50,000, apply each component's own K, sum for the daily total, then divide every daily figure by T to get the per-tonne figures.

  1. Scale factors. $$T^{0.7}=50{,}000^{0.7}=1{,}947.3 \qquad T^{0.6}=50{,}000^{0.6}=662.6$$
  2. Individual component costs, per day and per tonne. $$\text{Drilling} = 2.85\times1{,}947.3=\boxed{\$5{,}547.84/\text{day}}\ \big(\div T = \$0.1110/\text{t}\big)$$ $$\text{Blasting} = 4.76\times1{,}947.3=\boxed{\$9{,}265.86/\text{day}}\ \big(\div T = \$0.1853/\text{t}\big)$$ $$\text{Loading} = 4.01\times1{,}947.3=\boxed{\$7{,}805.91/\text{day}}\ \big(\div T = \$0.1561/\text{t}\big)$$ $$\text{Haulage} = 27.10\times662.6=\boxed{\$17{,}879.33/\text{day}}\ \big(\div T = \$0.3576/\text{t}\big)$$ $$\text{General} = 9.98\times1{,}947.3=\boxed{\$19{,}427.17/\text{day}}\ \big(\div T = \$0.3885/\text{t}\big)$$
  3. Total cost, per day and per tonne. Summing all five components: $$\text{Total/day} = 5{,}547.84+9{,}265.86+7{,}805.91+17{,}879.33+19{,}427.17=\boxed{\$59{,}926.11/\text{day}}$$ $$\text{Total/tonne} = \frac{59{,}926.11}{50{,}000}=\boxed{\$1.1985/\text{tonne}\ (\approx\$1.20/\text{t})}$$
Component$/day$/tonne
Drilling5,547.840.1110
Blasting9,265.860.1853
Loading7,805.910.1561
Haulage17,879.330.3576
General19,427.170.3885
Total59,926.111.1985 (≈$1.20)

Comment on automating feasibility studies with these formulae (part b). Because every component here shares the SAME general power-law form and the per-tonne figures (Column 3 above) are exactly the answer to part (b)'s "what would you expect these costs per tonne to be" – Haulage and General dominate the per-tonne total (0.358 and 0.389 $/t respectively, together ≈62% of the $1.20/t total), with Loading, Blasting and Drilling contributing the remainder. This structure is attractive for AUTOMATING early-stage (scoping/PEA) cost estimation in a spreadsheet or software tool: given only a candidate daily tonnage T, every cost line is generated instantly with no detailed equipment-list engineering, allowing rapid screening of many scale/site scenarios and quick sensitivity analysis on throughput. However, this convenience comes with real limitations that a feasibility-level study cannot accept: the K, x coefficients are historical regression averages that embed an implicit "typical" strip ratio, haul distance, rock hardness and labour cost structure that may not match the specific project; the formulae give NO breakdown into fixed vs. variable cost (needed for break-even and downside-scenario analysis) or capital vs. operating cost; and because the coefficients are tied to a specific historical cost-index base year, they must be escalated correctly (a step easy to omit when the model is "automated" and treated as a black box). Automating with these formulae is therefore appropriate for rapid PRE-feasibility screening across many scenarios, but must be replaced by first-principles, site-specific estimating once a project is carried to bankable feasibility.