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HEAP LEACH RECOVERY STUDY 
BASED ON CRUSHED ORE 
PARTICLE SIZE DISTRIBUTION 
AND COMPACTION DEGREE
Sangho Lee, Ph.D., PE  
Franz Campero, Ph.D., PE
2
 d
Heap Leaching Process
3
 Kinetics of Leaching Process – convective 
mass transfer (rapid preferential flows) vs. 
diffusive mass transfer (slow uniform flows)
 Effective wetting surface – increased in finer 
ores vs. limited in coarse ores
 Permeability – larger in coarse ores and 
smaller in finer ores
 Chemical degradation of agglomerated ores 
at the lower level due to significant pressure 
and acidic or caustic environment
Basic Principles and Findings
4
 Design key points for heap leaching success
‐Fine migration control of heap piles to 
prevent generation of bench seepage or 
pooling above base drainage layer
‐Enhance efficiency of leaching recovery  in 
view of contact area and retention time 
between lixiviant and crushed ores
‐Find cost effective solution replacing 
agglomeration to prevent fine migration 
within heap material 
Introduction
5
 Problems of current heap leaching process
‐No analytical method available for risk of
crushed ore segregation/internal erosion
‐No quality control program on compaction 
degree monitoring while heap pile stacking
‐No prescreening process or feasibility 
study with particle size analysis of crushed 
ores prior to costly agglomeration
Introduction (continued)
6
Particle Segregation/Internal Erosion
7
Pore Space and Constriction Area
8
• Actual contact 
probability between 
different particle sizes
• Volume based GSD
‐exaggerated for 
coarse particle  
contact (=0)
• Number based GSD
‐exaggerated for fine 
particle contact (=3)
Grain Size Distribution (GSD)
vs. Constriction Size (CSD)
Relationship btw. GSD and CSD
9
 Effective GSD (y*) 
converted from 
weight base GSD (y)
  range (0 <  << 3)
  evaluated from 
experimental work 
(Aberg,1992) (=1)
Actual CSD of particle medium
dy
yx
dy
yx
yy
y

1
00 )(
1
)(
1
)(* 
10
Compaction influence on CSD
11
Max. particle size susceptible to piping 
depending upon compaction degree
12
 Synthesis of SWCC from CSD of Heap Ores
Soil‐Water Characteristic Curve
13
Exemplary Heap Material
14
Segregation Susceptibility
15
Compatibility Check with Drain Rock
16
 Hydrodynamic Parameter Evaluation
Unsaturated Flow Simulation within 
Heap Material
17
Hydrus 1‐D Simulation 
of Unsaturated Flow within Heap
18
Head Distribution within Heap 
(Eulerian Scheme)
19
Head Distribution within Heap 
(Lagrangian Scheme)
20
Flux Distribution within Heap
21
Smin.=66% Smin.= 83%
Saturation Degree within Heap
22
 Poorly graded or well graded ores (classified 
with conventional uniformity and curvature 
indices) do not fully represent the 
piping/segregation susceptibility of heap pile
 Fine migration susceptibility (piping potential) 
within heap pile can be successfully evaluated 
with GSD and compaction degree of crushed 
ores
Conclusion (I)
23
 Hydraulic conductivity of heap material is 
governed by initial moisture content, fine 
content, compaction/consolidation degree 
and grain size distribution of crushed ore
 Preferential flow pattern not preventable 
due to nature of non‐uniform ore properties 
but generation of low conductivity zone can 
be reduced with fine migration control and 
installation of PVD
Conclusion (II)
24
 Hydrodynamic parameters for unsaturated 
flow analysis can be reasonably estimated 
not from series of column tests but from 
synthesis of SWCC based on GSD and 
compaction degree measurements of the 
crushed ore. 
 To support the practicality of using 
synthesized SWCC, a follow‐up study is 
required to compare the synthesis results 
with the actual field/lab monitoring data.
Conclusion (III)

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