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24-MMP-A4 Mine Valuation and Mineral Resource Estimation · December 2018

Question 12 of 29: Nested Spherical Variogram — Gamma Values

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, 2018-Dec. 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 1.1–1.8); 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, anisotropy); Hustrulid, Kuchta & Martin, Open Pit Mine Planning and Design (mine valuation, NPV/IRR and cut-off grade methodology); Gentry & O'Neil, Mine Investment Analysis (smelter/refining contract terms, net smelter return, taxation and risk); Guilbert & Park, The Geology of Ore Deposits, and Evans, Ore Geology and Industrial Minerals (VMS/SEDEX and porphyry deposit models); SME Mining Engineering Handbook, 3rd ed. (mineral exploration/evaluation stages, ore reserve classification); CIM Best Practice Guidelines and NI 43-101 (Canadian Securities Administrators).

Question 3.2: Nested Spherical Variogram — Gamma Values (9 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.

ParameterValue
Nugget, C00.1
Structure 1: sill C1 / range a10.5 / 100 m
Structure 2: sill C2 / range a20.4 / 500 m

Find. The scaled diagram (2 marks) and γ(h) at h = 0, 50, 250, 1000 m (7 marks: 1+2+2+1 for the four values plus 1 for indicating them on the diagram).

Lag distance h (m)gamma(h)010025050010000.0000.1000.5000.8751.000(0, 0.000)(50, 0.504)(250, 0.875)(1000, 1.000)nugget C0=0.1total sill 1.0nested totalstructure 1 (a=100m)structure 2 (a=500m)
Nested spherical model — nugget 0.1, structure 1 (dashed red, sill 0.5/range 100 m), structure 2 (dashed green, sill 0.4/range 500 m), nested total (solid blue). Filled dots mark the four requested distances; the open circle at h=0 marks γ(0)=0 by definition.

Approach. Apply $\gamma(h)=C_0+C_1\,Sph(h/a_1)+C_2\,Sph(h/a_2)$ where $Sph(x)=1.5x-0.5x^3$ for $x<1$ and $Sph(x)=1$ for $x\ge1$, checking whether h has exceeded each structure's own range before substituting.

  1. h = 0 m. By definition γ(0) = 0 exactly — a pair of points at zero separation has zero difference, so the semi-variogram itself starts at the origin; the nugget C0 is the DISCONTINUOUS JUMP the fitted curve makes for any h>0 (representing micro-scale variability/sampling error below the shortest sampled lag), not a value the curve takes at h=0 itself. $$\boxed{\gamma(0)=0}$$
  2. h = 50 m. Both ranges exceed 50 m, so both structures use the cubic form. x1 = 50/100 = 0.500, Sph(x1) = 1.5(0.500) − 0.5(0.500)3 = 0.750 − 0.0625 = 0.6875. x2 = 50/500 = 0.100, Sph(x2) = 1.5(0.100) − 0.5(0.100)3 = 0.150 − 0.0005 = 0.1495. Substituting: $$\gamma(50)=0.1+0.5(0.6875)+0.4(0.1495)=0.1+0.34375+0.0598=\boxed{0.504}$$
  3. h = 250 m. h has passed structure 1's range (250 > 100 m, so Sph1 = 1, fully saturated at its sill) but is still inside structure 2's range (250 < 500 m). x2 = 250/500 = 0.500, Sph(x2) = 0.6875 (as computed above). Substituting: $$\gamma(250)=0.1+0.5(1)+0.4(0.6875)=0.1+0.5+0.275=\boxed{0.875}$$
  4. h = 1000 m. h exceeds both ranges (1000 > 100 m and 1000 > 500 m), so both structures are fully saturated and the variogram has reached the TOTAL SILL: $$\gamma(1000)=0.1+0.5(1)+0.4(1)=\boxed{1.00}$$
Distance h (m)γ(h)
00.000
500.504
2500.875
10001.000 (= total sill)