Pr Tip Indicator

7/24/2019 Pr Tip Indicator

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Resource Modeling Inc. 29th

Annual Mintec SeminarMay 7-11, 2012 Tucson, AZ

Simple Indicator &

Nearest Neighbor

Tricks


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Topics

Quantify continuous mineralized lengths by

using indicators to control compositing

Calculate dilution & ore loss by composite length

Define mineralized continuity using indicator

methods to classify resources

Modify resource categories using nearest

neighbor methods


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Using Indicators to Examine Mineralization

Set indicator flags in assay file

Create separate composite files for each cutoff

Build comps using indicator flag as geology

Assemble statistics for each cutoff grade

Quick Start


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Continuous Mineralized Lengths

Need grade indicator flag item(s) for fi le 11

Need composite file 9 & associated file 12

(e.g. IND1 & IND2 with min=0; max=1; prec.=1)

One pair for each cutoff grade to be examined

File 11 Operations


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Use Multi-runs to Set Indicators


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Use Cutoff Grades to Set Indicators


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Composite Grades Using Indicator Item as Geology


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Use Multi-runs Vary File Function for each Cutoff


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Compositing Indicator to Get Mineralized Length

0

0

1

1

0

0

0

0

File 11

One 2m

length

File 9

0

1

0

1

1

0

0

0

File 11

One 1m & one

2m length

File 9

0

1

1

1

1

1

0

0

File 11

One 5m

length

File 9


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Calculate Statistics by Cutoff Grade

Could use MDSA to assemble stats

Could export out CSV files for Excel

Could calculate stats using scripts


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Continuous Mineralized Lengths Above 0.5 g/t

0.00 to 0.50 206 99 2.94 99 1% 1%

0.50 to 1.00 3,218 3,062 2.31 3,161 31% 32%

1.00 to 1.50 402 496 2.24 3,657 5% 37%

1.50 to 2.00 873 1,698 2.45 5,355 17% 54%

2.00 to 2.50 100 227 2.45 5,582 2% 57%

2.50 to 3.00 337 998 2.68 6,579 10% 67%

3.00 to 3.50 54 175 1.81 6,754 2% 69%

3.50 to 4.00 154 609 2.63 7,363 6% 75%4.00 to 4.50 18 77 3.47 7,440 1% 75%

4.50 to 5.00 98 485 1.97 7,926 5% 80%

5.00 to 5.50 13 69 1.27 7,994 1% 81%

5.50 to 6.00 53 314 2.68 8,308 3% 84%

6.00 to 6.50 8 50 2.61 8,359 1% 85%

6.50 to 7.00 32 223 2.62 8,581 2% 87%

7.00 to 7.50 4 29 1.37 8,611 0% 87%

7.50 to 8.00 19 152 2.14 8,763 2% 89%8.00 to 8.50 5 41 3.40 8,804 0% 89%

8.50 to 9.00 10 90 2.02 8,893 1% 90%

9.00 to 9.50 4 37 1.82 8,930 0% 91%

9.50 to 10.00 16 159 2.46 9,089 2% 92%

> 10.00 47 769 2.95 9,858 8% 100%

Total 5,671 9,858 2.45 9,858 100% 100%

Length (m) Count Meters

Cumulative

Meters

% of

Total

Cumulative

%

Mean Au

(g/t)


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Distribution of Mineralized Lengths

0%

7%

14%

21%

28%

35%

PercentageofTotal

Continuous Mineralized Length (m)


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Graphing Data

0%

20%

40%

60%

80%

100%

0%

7%

14%

21%

28%

35%

PercentageofTotal


50%

~ 1.6m


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Mineralized Lengths vs. Cutoff Grade

0%

20%

40%

60%

80%

100%

Cumulative%

ofData


0.10 g/t 050 g/t 0.90 g/t

50% ~ 5m long

50% ~ 1.5m long


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Dilution (Internal)

Defined as % of material below a cutoff grade

Could be % of waste tonnage in an ore block

or could be % of waste meters in a composite


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Ore Loss

Defined as % of contained metal lost when

sample drops below cutoff grade due to dilution

5m

Composite

0.45

AUPPM @ a 0.50 g/t cutoffthe 5m composite

falls below that cutoff

so

a grade * thicknessproduct of 1.5 g/t-m

is considered lost

Raw

Samples

0.05

0.15

0.25

0.30

1.50

AUPPM

Grade * thickness = 1.50 g/t-m

1.0

1.0

1.0

1.0

1.0

-AI-


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Using Indicators to Calculate Dilution & Ore Loss

Set indicator flags in assay file & calculate GT

Create separate composite file for each length

Build fixed length composites (grade, indicator, GT)

Assemble statistics for each length & cutoff grade

Quick Start


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Calculating Dilution for Each Composite

@ 0.50 g/t cutoff

3m out of 5m are

below cutoff

0.00 to 0.50 g/t

0.50 to 1.00 g/t

1.00 to 2.00 g/t

> 2.00 g/t

Raw

Samples

0.10

0.20

0.45

0.50

2.501

1

0

0

0

IND5 AUPPM

5m

Composite

0.750.40

IND5 AUPPM

Resulting in

60% internal dilution

for this composite


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Calculating Dilution by Composite Length

Need indicator flag items for each cutoff grade

Need grade * thickness item

Set indicators based on cutoff grade

Calculate grade * thickness product

File 11 Operations


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Resource Modeling Inc.29thAnnual Mintec Seminar

May 7-11, 2012 Tucson, AZ

Calculating Dilution by Composite Length

Need indicator item for each cutoff grade

note: precision needs to be 0.01

Need grade * thickness items for each cutoff

Composite grade, all indicator, and all G*T items

for each composite file

File 9 Operations


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Calculate Statistics by Composite Length

Need tally (summation) of:

Meters above cutoff grade

Meters below cutoff grade

Grade * thickness above cutoff

For each composite file (different lengths)

Grade * thickness below cutoff


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Dilution and Ore Loss Calculations

With a tally of ore and waste lengths

% Dilution can be calculated:

% Dilution = [waste length / (waste length + ore length)] * 100

With a tally of ore and waste grade * thicknesses

% Ore Loss can be calculated:

% Ore Loss = [ore GT / (ore GT + waste GT )] - 1


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Example of Calculated Dilution/Loss Statistics

2.5 18,896 3.08 58,128 27.1 -2.9

5.0 21,252 2.71 57,686 36.8 -4.0

7.5 22,942 2.50 57,250 47.4 -5.0

10.0 24,028 2.38 57,083 50.3 -5.3

12.5 24,817 2.29 56,817 55.9 -5.8

15.0 25,502 2.22 56,558 58.1 -6.2

17.5 26,273 2.15 56,372 61.7 -6.5

20.0 27,301 2.07 56,549 65.1 -6.3

0.65 g/t Au Cutoff

Comp

LengthMeters Au (g/t) AuGT

Dilution

(%)

Ore Loss

(%)


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Grade Dilution vs. Composite Length

25

35

45

55

65

75

2.5 5.0 7.5 10.0 12.5 15.0 17.5 20.0

PercentDilution

Composite Length (m)

0.65 g/t Cutoff 0.85 g/t Cutoff


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Metal Loss vs. Composite Length

-10.0

-8.0

-6.0

-4.0

-2.0

0.0

2.5 5.0 7.5 10.0 12.5 15.0 17.5 20.0

OreLoss

(%)




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Grade * Thickness vs. Composite Length

53,000

54,200

55,400

56,600

57,800

59,000

2.5 5.0 7.5 10.0 12.5 15.0 17.5 20.0

AuGrade*ThicknessProduct




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Indicator Models Used in Classification

Mineralized continuity is the key to

defining a resource

Build an indicator model using

an economic cutoff grade

Examine indicator probability in plan

and section to determine continuity

Use probability as guide to draw shapes


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0.50

4 out of 8

Indicator Estimation


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Estimated Indicator Probability

90 100%

80 90%

70 80%

60 70%

50 60%

40 50%

Indicator Probability


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Manually digiti ze

shapes around higher probability

blocks

Code blocks inside

polygons/solids as

Indicated Resources


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Goofy Nearest Neighbor Tricks

Re-assign resource categories to that of

surrounding majority codes

Poor mans version of Dilate and Erode

Assign resource category based on proximity

To underground workings


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Steps for Modifying Initial Classification

Export out all Measured + Indicated Blocks

Treat M&I block centroids as DH composites

Interpolate dummy grades using M&I compsto capture number of comps used

User calculation to change Inferred to Indicated

if Inferred is surrounded by user specified numberof M&I blocks


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Indicated

Inferred

Search ellipse

Inferred blocksurrounded

by 8 Indicated

blocks


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Resource ClassificationBased on Proximity to U/G Workings

Grid stopes/drif ts/sub-levels etc.

Treat stope grid points as DH composites

Interpolate dummy grades using stope comps

to capture distance to U/G workings

User calculations to assign resource

categories based on distance to workings


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Resource Modeling Inc29thAnnual Mintec Seminar

May 7 11 2012 Tucson AZ

The End

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Pr Tip Indicator