24-MMP-A5 Surface Mining Methods and Design · December 2017
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Reference texts: Hustrulid, Kuchta & Martin, Open Pit Mine Planning and Design (3rd ed.) — pit optimization, Lerchs–Grossmann, floating cone, pit slope design; Hoek & Bray, Rock Slope Engineering — planar and circular slope-stability analysis; SME Mining Engineering Handbook (3rd ed.) — surface mining equipment, mine dewatering, cut-off grade economics.
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.
6.1 — using the grade-distribution figure. Figure 6.1 plots the cumulative proportion of blocks (on a normal-probability horizontal scale) whose grade is at or above successive grade values. To find the TONNAGE above a chosen cut-off grade g, read across from g on the vertical (grade) axis to the curve, then down to the cumulative-frequency axis to get the percentage of all blocks at or above g, and multiply that percentage by the total block tonnage in the pit. To find the AVERAGE GRADE of that same above-cut-off tonnage, the curve (or its companion grade-tonnage curve, Fig 6.2) is integrated/read directly at that cumulative-percentage point — Fig 6.2 is in fact the same relationship replotted directly as tonnage- and grade-above-cutoff versus cutoff grade, which is the more directly usable form used for the remaining sub-questions.
6.2 — shape of the two curves. The TONNAGE-above-cutoff curve is a monotonically DECREASING, roughly S-shaped (sigmoid) curve: raising the cut-off progressively excludes more of the lower-grade material, so tonnage falls, slowly at first (while cut-off is still below most of the deposit’s grade), then steeply through the bulk of the grade distribution, then slowly again as only the highest-grade tail remains. The GRADE-above-cutoff curve is the mirror-image INCREASING sigmoid, because excluding progressively more low-grade material necessarily raises the average of what remains. Grade rises RAPIDLY through the middle of the cut-off range specifically because that is where the bulk of the tonnage (and hence the bulk of the low-grade material being progressively excluded) sits — a copper deposit’s grade distribution is typically approximately log-normal, so most of the tonnage clusters in a fairly narrow mid-grade band, and cutting through that band removes a disproportionate share of low-grade tonnes per unit increase in cut-off, pulling the average up steeply.
Given (6.3–6.6). Mining USD 1.75/t (ore or waste); Milling USD 5.00/t (ore); G&A mining USD 0.35/t; G&A milling USD 0.80/t; Smelting/Refining/Sales USD 0.50/lb Cu; recovery 78%; price USD 2.50/lb Cu; 2,204.62 lb/tonne.
6.3.1 — break-even grade.
6.3.2 — using USD 2.50/lb as the long-term price. A single, fixed long-term price assumption ignores the copper price’s well-documented cyclicality; using today’s (or a recent) spot price directly as a LONG-TERM planning price risks materially over- or under-stating the economic pit limit and cut-off grade depending on where in the cycle that price sits — standard practice is to use a trailing multi-year average or a bank/consensus long-term forecast price (deliberately smoothed below current cyclical peaks) for reserve and pit-limit determination, reserving the actual spot price for short-term operating/cut-off decisions only.
Find (6.4). Total tonnes, ore tonnes, average grade, waste tonnes and stripping ratio at the 0.25% cut-off, read from Fig 6.2.
Find (6.5) — Taylor’s Rule mine life.
Find (6.6) — costs, revenue, profit.
| Item | Result |
|---|---|
| 6.3.1 Break-even grade | 0.23% Cu (close to the stated 0.25% cut-off) |
| 6.4 Total / ore / waste tonnes | 118 Mt / 62 Mt / 56 Mt |
| 6.4 Average grade, stripping ratio | 0.56% Cu, 0.90 : 1 |
| 6.5 Mine life (Taylor’s Rule) | 17.7 years |
| 6.5 Milling rate | ≈ 3.5 Mt/yr (≈ 9,600 t/day) |
| 6.5 Cu production | ≈ 15,100 t/yr (≈ 33.3 M lb/yr); ≈ 270,700 t total |
| 6.6 Total cost / revenue / profit | USD 607.4 M / USD 1,183 M / USD 576 M (life-of-mine) |
| 6.6 Annual cost / revenue / profit | USD 34.2 M / USD 66.7 M / USD 32.5 M per year |
6.7 — refining the assumed pit (≈10-word answers).
| Item | Answer |
|---|---|
| 6.7.1 NPV/DCF-ROR effect | Discounting shrinks the pit; re-optimise with a time-value-adjusted, nested-pit schedule. |
| 6.7.2 Early debt retirement | Sequence high-grade, low-strip phases first to front-load cash flow. |
| 6.7.3 Early low-grade stockpiling | Yes — stockpile sub-cutoff ore now, reclaim and mill once mill capacity allows. |
| 6.7.4 Equipment before mill ready | Pre-strip waste and build ore stockpile ahead of mill commissioning. |
| 6.7.5 Optimize cut-off per period | Use Lane’s dynamic cut-off algorithm: raise cut-off when mill-constrained. |
| 6.7.6 Minimize tax, tax-free window | Accelerate high-margin production into the tax-free period; defer deductible costs after. |
| 6.7.7 Incremental analysis | Compare each pushback’s marginal NPV against the base-case schedule’s NPV. |
| 6.7.8 Testing wall-slope via sequencing | Push a trial pushback wall early; monitor before committing the full slope. |
| 6.7.9 Under/over-bench safety | Enforce exclusion zones, catch-berms and radio/GPS proximity control between levels. |