24-MMP-A4 Mine Valuation and Mineral Resource Estimation · May 2018
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
EGBC National Exam — Mining and Mineral Processing Engineering, 09-MMP-A4 Mine Valuation and Mineral Resource Estimation, 2018-May. 3 hours duration; closed book, with one handwritten 8.5×11 in. reference sheet (both sides) permitted; only an approved Sharp or Casio calculator allowed. Question 1 is compulsory (40 marks, parts 1.1–1.9); 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); Hustrulid, Kuchta & Martin, Open Pit Mine Planning and Design (mine valuation, cut-off grade theory, incremental analysis); Gentry & O'Neil, Mine Investment Analysis (Canadian mining taxation, cash flow/risk, smelter contract terms, NSV/NSR); SME Mining Engineering Handbook, 3rd ed. (ore deposit models, mineral exploration/evaluation stages, equipment utilization); O'Hara, T.A., “Quick Guides to the Evaluation of Orebodies,” CIM Bulletin, Feb. 1980 (parametric capital-cost estimating); CIM Definition Standards for Mineral Resources and Mineral Reserves / National Instrument 43-101 (resource/reserve classification and reporting).
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.
4.4.1 Sum of the weights. As in Question 4.3, this is still an ordinary-kriging block estimate, so $$w_A+w_B+w_C=\boxed{1.0}$$ regardless of the specific geometry — the unbiasedness constraint applies to any OK system.
4.4.2 Likely weight split. In the source sketch, samples B and C sit close together to one side of the block (roughly similar, moderate distance from the block, and close to EACH OTHER), while sample A sits alone on the opposite side at a broadly similar distance to the block as B and C individually. With the stated range at three times the longest sample-to-block/sample-to-sample distance, every pairwise separation (sample-to-block and sample-to-sample) falls well inside the variogram's rising portion, so distance alone would suggest roughly equal thirds (≈0.33 each). However, because B and C are also close TO EACH OTHER, they partially screen/duplicate one another's information (the same screen effect as Question 4.3), so the OK solution should shift weight modestly AWAY from the closer B/C pair and TOWARD the more independent, unclustered sample A — a reasonable qualitative split is roughly wA≈0.40, wB≈0.32, wC≈0.28 (summing to 1.0), rather than a naive equal 0.33/0.33/0.33, with the exact numbers only obtainable by actually solving the 4×4 (3 samples + Lagrange multiplier) OK system against the measured coordinates and the fitted variogram.