2. 8 May 2018 2Reconciliation
Agenda
1. What is Reconciliation?
2. Uses
3. Approach
4. Examples
5. Conclusion
3. 8 May 2018 3Reconciliation
What is Reconciliation?
Reconciliation involves the collection of tonnage, grade
(quality) and contained metal (product) data from disparate
and hopefully independent sources.
These data may be compared by means of ratios, to relate
short term (ore control) model to ore reserves depleted and
to relate material received at mill (measured by the mill) to
material delivered to mill.
- Paraphrasing Parker 2012.
4. 8 May 2018 4Reconciliation
Usage
• Measuring project success
• Measuring operational improvement or the scope
for improvements in the mining value chain
• Calibrating resource and reserve classification
• Preparing for the next reserve
• And scapegoat hunting (all too often)
5. 8 May 2018 5Reconciliation
“Bite-sized Chunks”
• Reduce reconciliation to a series of depletions in model
tonnages, grades and metal content. Often expressed as
factors (Parker, 2012)
• F1 factor usually relates short term (grade control) model to ore
reserves depleted
• F2 factor usually relates received at mill (measured by the mill) to
delivered to mill production
• F3 factor is F1*F2 and is a measure of a mine’s ability to recover
the tonnage, grade and metal content estimated in ore reserves
6. 8 May 2018 6Reconciliation
Resources
Two stages of reconciliation
Reserves
‘long range’
Grade
Control
‘short range’
Received
at Mill
F1
F2
F3
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Time Periods
• Depending on production volumes and resource
uncertainty, the practical time periods for
reconciliation may be shorter or longer
• Weekly or monthly for high volume, low variance
commodities
• Quarterly or annually for lower volume, high variance
commodities
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Reserve to Ore Control (F1)
• Sampling issues
• Geometric uncertainty
• Change of Support (‘internal dilution’)
• Preconceived ideas
• Insufficient data
• Oversmoothing
• Conditional bias
• Mined/Not Planned & Planned/Not Mined
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Ore Control to Delivered to mill (F2)
• Sampling issues
• Unplanned dilution
• Stockpile movements
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Volume / Bulk Density / Tonnage (F1)
• Pay attention to
measurement and
estimation of:
• Wireframing volumes
• Moisture content
• Potential voids
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Sampling (applies to F1 & F2)
• Sampling
• The challenge of obtaining a meaningful, unbiased
sample from heterogeneous materials haunts estimation
and reconciliation.
• In situ sampling (F1)
• Broken ore sampling (F2)
• Methods and Equipment
• People
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Change of Support (‘Internal dilution’)
Selective mining unit assumptions can affect reconciliation
30x30x15 smu’s versus 100x100x15 panels
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Selective Mining
• Planning for selective mining on the basis of a
theoretical grade tonnage curve is meaningless,
unless the higher grade material can be identified
and extracted
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People and Sampling (F1 & F2)
• Sampling is
• Fundamental to the process
• Boring
• Arduous
• Sometimes hazardous
• Often entrusted to persons who are comparatively
• Junior
• Under-trained
• Under-appreciated
• Little wonder the results can be
• Inaccurate
• Misleading
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Visualizations of Reconciliation
• Reconciliation maps help
isolate regions where
assumptions or estimates
cause systematic deviations
between reserves and ore
control
• Future improvements
depend on identifying
causes of deviations
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Sometimes the soft issues are hard…
• People…
17. 8 May 2018 17Reconciliation
Resource / Reserve / Mill Accounting
• Involve
• Multidisciplinary team activities
• Numerous ‘moving parts’
• A high level of uncertainty
• Significant assumptions
• Disagreements and misunderstandings can occur….
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The Human Factor
Nobody wants to be the weakest link…
• Pride
• Fear
• Bonuses are at stake
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Dealing with Personalities /
Conflict resolution
• Communicate
• Be objective (as one can)
• Be diplomatic
• Respect other disciplines
• Put yourself in the shoes of others
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What else can go wrong?
• Examples…
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Anecdote 1
• Underground channel samples from a gold deposit
• In bags
• Transported from a series of shafts on a truck
• 60 km later, arrive at laboratory
• Systematically upended and subsampled
• Biased towards the fine end of particle size
distribution…
• With positively biased grade results.
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Anecdote 2
• Process plant sampling
• Collected on day and night shifts
• Day shift – supervised
• Low variance, systematic time periods represented
• Night shift – unsupervised
• High variance, haphazard timing
• The differences are only apparent when the data is split
into night and day shifts….
• If measurements are not made accurately, they are
likely misleading
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Reconciliation and Project Success
• Small variations in predicted versus actual metal
recovery can be significant because
• Profit margins in many mining projects are low
• Unexpected grade shortfalls of only a few per cent can
have several times more impact on profit
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Conclusions
• Reconciliation requires attention to technical as
well as human aspects
• Sampling data is critical
• Small deviations in estimation and assumptions
have serious implications for profitability
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Reference
• Parker, H. M. 2012 Reconciliation principles for the mining industry.
Pages 160-176 in Mining Technology 2012 VOL 121 NO 3. The
Australasian Institute of Mining and Metallurgy. Published by Maney on
behalf of the Institute of Materials, Minerals and Mining and The
AusIMM
26.
27. 8 May 2018 27Reconciliation
Our values drive
all we do
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