24-MMP-A2 Underground Mining Methods and Design · December 2016
Question 4 of 6: Mine Cost Estimation — Camm (1989) Parametric Shaft and Block-Caving Models, Escalated to 2008
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-A2 Underground Mining Methods and Design, 2016-Dec. 3 hours duration, closed book; only a Casio or Sharp approved calculator permitted. Question 1 is compulsory (40 marks, all six parts 1.1–1.6); a candidate then selects TWO of Questions 2–4 (Section B) and ONE of Questions 5–6 (Section C), each worth 20 marks.
Reference texts: Hartman & Mutmansky (eds.), SME Mining Engineering Handbook, 3rd ed. (underground mining methods, backfill systems, mine hoisting design, mine ventilation, mine cost estimation — the primary reference throughout this paper); Hustrulid & Bullock, Underground Mining Methods: Engineering Fundamentals and International Case Studies (room-and-pillar, VCR, cut-and-fill, longhole, shrinkage and sub-level caving practice); ASHRAE, ASHRAE Handbook — Fundamentals (psychrometric relations, humidity ratio and enthalpy of moist air); BC Ministry of Energy, Mines and Low Carbon Innovation, Health, Safety and Reclamation Code for Mines in British Columbia (Canadian regulatory context for hoisting-rope safety factors); Camm, T.W. (1989), Simplified Cost Models for Prefeasibility Mineral Evaluations, U.S. Bureau of Mines IC 9298 (Question 4 parametric cost models); O'Hara, T.A. (1980), "Quick Guides to the Evaluation of Orebodies," CIM Bulletin, February 1980 (Question 1.4.3).
Question 4: Mine Cost Estimation — Camm (1989) Parametric Shaft and Block-Caving Models, Escalated to 2008 (20 marks)
NOTE: Table 4.1's shaft cost model (371X + 180D·X0.404 capital; 2343/X + 0.44D/X + 0.00163D operating) and Table 4.2's block-caving mine cost model (64,800X0.759 capital; 48.4X-0.217 operating) are the Camm (1989) cost tables, evaluated at X=20,000 st/d, D=2,000 ft design basis. Table 4.3 supplies the escalation indices (56.9→98.7 capital, 91.1→141.9 operating, 1989 to 2008).
Given.
Design basis and Table 4.1 / 4.2 model parameters (Camm, USBM, 1989)
Quantity
Symbol
Value
Mine capacity
X
20,000 short tons/day
Nominal shaft depth
D
2,000 ft
Table 4.1 total shaft capital cost model (USD)
—
371X + 180D·X0.404
Table 4.1 total shaft operating cost model (USD/st)
—
2343/X + 0.44D/X + 0.00163D
Table 4.2 total mining capital cost model (USD)
—
64,800·X0.759
Table 4.2 total mining operating cost model (USD/st)
—
48.4·X-0.217
Capital cost index, 1989 / 2008 (Table 4.3)
—
56.9 / 98.7
Operating cost index, 1989 / 2008 (Table 4.3)
—
91.1 / 141.9
Find. The component and total 1989 shaft capital/operating costs (4.1), the component and total 1989 block-caving mining capital/operating costs excluding the shaft (4.2), and the total shaft-plus-mining capital and operating costs escalated to 2008 (4.3), with commentary on model adequacy throughout.
Approach. Substitute X = 20,000 and D = 2,000 into every component formula of Table 4.1 (shaft) and Table 4.2 (block-caving mine) to get the 1989 component and "Total" line costs, cross-checking the sum of components against the independently regressed Total line each time; then multiply the 1989 shaft and mining totals by the ratio of the 2008 to 1989 capital and operating indices from Table 4.3.
Part 4.1 — shaft capital cost components, 1989. Each Table 4.1 capital term is evaluated at X=20,000, D=2,000 (Lumber, Fuel and Tires are marked "NAp" for a shaft and contribute nothing):
Table 4.1 shaft capital cost, 1989 (USD)
Category
Formula
Cost (USD)
Labor
75D·X0.399
7,801,900
Equipment
350X + 65D·X0.386
12,944,900
Steel
25D·X0.373
2,010,300
Lube
6D·X0.342
354,900
Explosives
5D·X0.389
471,100
Construction material
9D·X0.522
3,165,300
Electricity
4D·X0.230
78,000
Sum of components
—
26,826,400
Total (Table 4.1 formula)
371X + 180D·X0.404
27,095,200
Equipment (about 48% of the component sum) and Labor dominate, consistent with a mechanised shaft-sinking crew and a permanent hoisting/guide/service installation; the independently regressed "Total" formula comes out about 1% above the arithmetic sum of components, close enough to treat the model as internally consistent for a screening-level estimate.
At 20,000 st/d × 365 d/yr this is an annual shaft operating cost of about USD 24.97 million. The Electricity term (2.80/st, over 80% of the operating total) is disproportionately large for what is normally a modest hoisting/pumping/ventilation power draw at a single shaft — worth flagging as a possible scaling artefact in the underlying regression and sanity-checking against an independent kWh-based estimate before it is used in a real feasibility budget.
Part 4.2 — block-caving mining capital cost components, 1989 (excluding shaft). All ten Table 4.2 categories are pure functions of X alone (no depth term, since these are mining costs excluding the shaft):
Table 4.2 block-caving mining capital cost, 1989 (USD)
Category
Formula
Cost (USD)
Labor
27,900X0.646
16,752,100
Equipment
25,600X0.812
79,556,600
Steel
4,410X0.685
3,896,200
Lumber
149X0.902
1,129,100
Fuel
10.6X0.897
76,400
Lube
4.54X0.897
32,700
Explosives
1,040X0.737
1,537,800
Tires
1.87X0.946
21,900
Construction material
31,100X0.591
10,831,000
Electricity
50.4X0.748
83,100
Sum of components
—
113,917,000
Total (Table 4.2 formula)
64,800X0.759
119,139,800
Equipment again dominates (about 70% of the component sum), consistent with the mechanised LHD/crusher/conveying fleet a block-caving operation of this scale requires; the Total-formula result runs about 4.6% above the component sum — expected since the mining Total was regressed across a broad capacity range (4,000–40,000 st/d) rather than summed directly — and both figures should be carried forward with the difference treated as part of the estimate's inherent uncertainty band.
Labor is the single largest term (about 53% of the component sum), the pattern expected of an underground block-caving labour force; the negative exponent on every category reflects the economy of scale the model is built to represent (unit cost falls as capacity X rises) — a positive exponent giving a rising unit cost with capacity would itself be a useful adequacy red flag, which none of the ten terms shows.
Part 4.3 — escalation factors, 1989→2008 (Table 4.3). $$\text{capital factor} = \dfrac{98.7}{56.9} = 1.7346, \qquad \text{operating factor} = \dfrac{141.9}{91.1} = 1.5576$$ The capital index roughly doubled over the period while the operating index rose by about 56% — a markedly steep capital escalation, consistent with the well-documented 2000s commodity/construction capital-cost boom outpacing wage-driven operating cost inflation.
Part 4.3 — total shaft and mining costs escalated to 2008. Applying the 2008 factors to the Table-formula 1989 totals from Steps 1–4:
2008 escalated totals (USD, using the Table 4.1/4.2 "Total" formulas)
Part 4.3 — adequacy of the 2008 estimate. A single scalar escalation factor applies the SAME multiplier to every cost category regardless of how that category's own inputs actually moved between 1989 and 2008 — a Labor-heavy line item and a Steel/Equipment-heavy line item (which tracked the 2000s commodity/construction boom far more steeply than site labour rates) did not escalate at the same rate in reality, so the blended-index result understates the true dispersion across categories even though the overall total is a reasonable order-of-magnitude figure. The estimate is further weakened by extrapolating a regression fitted to 1989 data forward nineteen years, and for the shaft model, by applying it at a capacity/depth combination near the edge of the sample the original Camm dataset was built from. Both models remain adequate for pre-feasibility/screening-level comparison between design options — exactly the use the question poses — but should never substitute for vendor-quote-based estimates once a project reaches a bankable feasibility study.
Question 4 — final numeric results (2008 USD unless noted)