ies update –strengthening the value chain€¦ · ies update –strengthening the value chain crc...
TRANSCRIPT
implem
ent
invent
introd
uce
integrate
CRC ORE
Optim
ising
Resou
rce Extractio
n
IES Upd
ate –Streng
then
ing the Va
lue Ch
ain
Nick Be
aton
0411
281
542
n.be
aton
@crcore.org.au
Integrated
Extraction Simulator
Substantial p
rogress in
•Targeted
functio
nality
•Co
llabo
rativ
e projects
•Site eng
agem
ent
“”
Wha
t is the
Integrated
Extraction Simulator?
Simulation
Engine
Equipm
ent
Datab
ase
Material
Config.
Flow
shee
tDatab
ase
Results
Datab
ase
Flow
shee
tDesign
Repo
rting
Equipm
ent
Mod
els
Simulations
Project
Flow
shee
ts
Simulation
A collabo
rativ
e multi‐year program
to build th
e ne
xt gen
eration metallurgical
simulation platform
.
Flow
shee
tDesign To
ol
Lang
uage Translatio
n
IES is no
w available in Spa
nish.
Wha
t’s in
teresting is ho
w lo
ng it didn’ttake, how
much it didn
’tcost…
Mass S
imulation
…either way IES can no
w perform
over
1,00
0,00
0 sim
ulations per hou
r……. for th
e price of a pizz
a.
Masss
imulation of geo
logical b
lock m
odels
popu
lated with
geo
met
data to
improv
e sche
dulin
g …
…or m
asss
imulation of se
nsitivity ana
lysis
cube
s to de
fine the op
erating en
velope
…
In Line Optim
isatio
n
Isolate eq
uipm
ent a
nd sub
‐circuits fo
r optim
isatio
n.
Control, constrain an
d track
the op
timising
process.
Und
erstan
d toda
y…
…im
prov
e tomorrow!
Mass S
imulation + In Line Optim
isatio
n –Po
werful C
ombina
tion
…of optim
ised op
tions ...
…prov
ides re
alistic ope
ratio
nal
targets.
Mass sim
ulation …
Custom
, Priv
ate an
d Sp
onsored Mod
els
Grin
ding
Mod
els
Blas
ting
Mod
els
Gol
d Le
achi
ng M
odel
s
Flot
atio
n M
odel
s
Ope
ning
up the IES
platform
to m
odels
from
multip
le so
urces
for p
rivate an
d shared
use.
Rese
arch
er M
odel
s
Bringing
METS, M
iners a
nd
Researchers together
CRC ORE
Partne
rs Exten
ding
IES’s R
each
IES –Extend
ing
simulation into
operationa
l de
cision
sup
port
and
optim
isation.
Site Eng
agem
ent
1.Create a Baseline of a Cu plan
t from Blasting throug
h Co
mminution to Flotatio
n2.
Valid
ate sim
ulation results are with
in +/‐10
% of a
ctua
l over a
12 mon
th period
Actio
ns:
1.Co
mminution circuit from a re
cent su
rvey.
2.Machine
learning
flotation circuit.
3.Mass s
imulation on
4 years of d
aily data to
determ
ine key influ
entia
l param
eters.
4.Sensitivity ana
lysis
on chan
ges to influ
entia
l pa
rameters.
Outcomes:
1.Simulated
results fo
r Throu
ghpu
t, Grin
d Size, R
ecovery an
d Co
nc. G
rade
all with
in ra
nge.
2.IES Simulation results m
atched
or improved
on Geo
Met
pred
ictio
ns.
Challeng
e:
X + 25
X + 20
X +1
5
X + 10
X + 5
X
%
Site Eng
agem
ent
1.With
the Mill at v
olum
etric
cap
acity, investig
ate op
tions to
improve grind siz
e.
Actio
ns:
1.Sensitivity ana
lysis
of o
ver 1
300 diffe
rent
combina
tions of vortex fin
der, spigot, n
umbe
r of
cyclon
es and
% so
lids u
sing average expe
cted
ha
rdne
ss of 1
year o
f ore su
pply.
2.Re
peat sen
sitivity
ana
lysis
on 20
thpe
rcen
tile an
d 80
thpe
rcen
tile ha
rdne
ss of 1
year o
re su
pply.
3.So
rted
results by recirculating load
and
confirm
ed re
sults with
in ope
ratin
g rang
e
Outcomes:
1.Iden
tified chan
ges to cyclon
e configuration to achieve 15 micron im
provem
ent to grind P8
0 in flotation feed
for a
verage hardn
ess o
re.
2.De
term
ined
that sam
e configuration could also deliver strong
improvem
ents to
grin
d siz
e for 2
0than
d 80
th
percen
tile ha
rdne
ss ores a
nd th
erefore could be
used for throu
ghou
t yea
r.
Challeng
e:
Site Eng
agem
ent
1.De
velop a site specific blast m
odel to
calculate optim
al burde
n x spacing for the
lowest cost P
80.
2.Only pe
rmit au
thorise
dexplosive prod
ucts with
validated
param
eters (Ve
locity of D
eton
ation, etc.)
Actio
ns:
1.De
velope
d custom
blast m
odel based
on prod
uct spe
c.2.
Adde
d table functio
n to allo
w site to
specify
explosiv
e.3.
Adde
d op
timising
to determine “best” blast design.
4.Ad
ded blast m
odel to
existing IES blast m
odels.
5.Mad
e mod
el priv
ate to site.
Outcomes:
1.Mod
el provide
s basis for c
alibratio
n with
actua
l blasting results.
2.Mod
el used in IES to re
fine an
d target blast designs in
Mine 2 Mill exercise
.
MEL
Challeng
e:
Site Eng
agem
ent
1.De
sign an
ope
ratio
nal framew
ork for M
ine 2 Mill usin
g IES to driv
e de
cisio
n making.
2.Im
plem
ent M
ine 2 Mill at site
.
Actio
ns:
1.De
velop a fram
ework using IES functio
nality of
integrated
flow
shee
t, mass s
imulation an
d sensitivity
analysis.
2.Iden
tify op
portun
ities and
de‐risk trials of options fo
r im
provem
ents.
Outcomes:
1.Initial fram
ework provides su
pport for M
ine to M
ill trials
2.Extend
ed fram
ework includ
es site im
plem
entatio
n an
d an
y de
bottlene
cking that evolves.
Challeng
e:
Site Eng
agem
ent
1.Iden
tify Locatio
n of Amen
able Ores (Whe
re)
•Simulate throug
hput fo
r each block in block m
odel.
•Co
nstraint to
Grin
d Size, SAG
Loa
d, etc.
•Track volume an
d tonn
esfor k
ey com
pone
nts.
•“H
eat M
ap” am
enab
le lo
catio
ns with
in pit.
2.Iden
tify Timing of Amen
able Ores (Whe
n)•
Simulate throug
hput of e
ach mining un
it (pushb
ack/be
nch?
)•
“Heat M
ap” am
enab
le m
onths with
in sc
hedu
le
If You’d Like to
Becom
e Involved
crcore.org.au
Nick Be
aton
Contact U
s
0411
281
542
n.be
aton
@crcore.org.au