P. Tkalich , K.Y.H. Gin, and E.S. Chan Physical Oceanography Research Laboratory Tropical Marine Science Institute The National University of Singapore TMSI TMSI
Dec 16, 2015
P. Tkalich , K.Y.H. Gin, and E.S. Chan
Physical Oceanography Research Laboratory
Tropical Marine Science Institute
The National University of Singapore
TMSITMSI
Global Movement of Oil in 199
5 oil refineries in Singapore waters have total capacity over 1 mil. barrels per day.(second largest refinery area in the world, after Houston, Texas)
5 oil refineries in Singapore waters have total capacity over 1 mil. barrels per day.(second largest refinery area in the world, after Houston, Texas)
Malacca&Singapore Straits
Major Oil Spills
SlNo.
Date Name of Spill Type of oil Volume(tons)
Economiccost ($)
1 March, 1989 Exxon Valdez Crude 34061 2 October, 1997 Evoikos Marine Fuel 28000 3 February, 1970 Arrow Bunker C Fuel 16000 4 January, 1993 Braer Crude
Heavy Fuel85000 500
5 January, 1989 Bahia Paraiso Diesel FuelArctic
600
6 August, 1989 Mersey Crude 150
Money spent by Exxon Corporation subsequent to EVOS (in millions of dollars) ------------------------------------------------------ Immediate Costs (1989, 19990)
Cleanup $2,000 Fisherman 300
Out-of-Court Settlement (1991-2001) Damage assesment 214 Habitat protection 375 Administrative costs 35 Research, monitoring
and general restoration 180 Restoration reserve 108 Accumulated interest
less Court fees 12------------------------------------ TOTAL $3,224
Civil Trial (1995) Compensation to fishermen $287 Punitive compensation (under appeal) 5000
Money spent by Exxon Corporation subsequent to EVOS (in millions of dollars) ------------------------------------------------------ Immediate Costs (1989, 19990)
Cleanup $2,000 Fisherman 300
Out-of-Court Settlement (1991-2001) Damage assesment 214 Habitat protection 375 Administrative costs 35 Research, monitoring
and general restoration 180 Restoration reserve 108 Accumulated interest
less Court fees 12------------------------------------ TOTAL $3,224
Civil Trial (1995) Compensation to fishermen $287 Punitive compensation (under appeal) 5000
Oil Properties
Properties \ Oil typeCrude oil(Kuwait)
No. 2Fuel oil
Bunker CFuel oil
API gravity (20oC) 31.4 31.6 7.3Viscosity at 77oF(cS) 2600 3.1 2800Paraffins (wt %) 34.0 61.8 21.1Naphthenes (wt %) 22.7 0.0 0.0Aromatics (wt %) 21.9 38.2 34.2Others (wt %) 21.4 0.0 44.7Sulfur & Nitrogen (wt %) 2.58 0.34 2.4Heavy metal (ppm) 35.7 2.0 162.0
tarballs
evaporation
oxidationphotolysis
emulsificationdissolution
hydrolysisbiodegradation
foodweb
sedimentation
Oil FateOil Fate
wind
gravitationinertiaviscousinterf.tension
MODELS:FEATURES
MOSM1 OILMAP2
+SIMAPWASP3 POSM4 Al-Rabeh5
Spacedimension
3D 3D 3D - box 2D 3D
Variables oil thicknessoil emulsiondissolv. oil (2)particul.oil (2)
FAY appr.oil parcelssubsurface
dissolv. oil (2)particul.oil (2)
FAY appr.oil parcels
FAY appr.oil surf. areaoil emulsion
Slickmovement
Eulerian(continuous)
Lagrangian(particles)
Eulerian Lagrangian Lagrangian
Losses:Evaporation Hydrolysis Photolysis Oxidation
Biodegradation Shorelinestranding
Oil combating Mousseformation
1. Tkalich, P. et. al (1999). "A Multiphase Model of Oil Spill Dynamics". XXVIII IAHR Congress.2. Spaulding, M. I., Howlett, E., Anderson, E. and Jayko, K. (1992). " OILMAP : A global approach to spill modelling".Proc. 15th Arctic Marine
Oilspill Program Technical Seminar, Environment Canada, Ottawa, Ontario, 15-21.3. Ambrose, R. B. and Martin, J. L. (1993). " The Water Quality Analysis Simulation Program, WASP5". Environmental Research Laboratory,
Athens, Georgia 30605.4. Serrer, M., Sayed, M. and Crookshank, N. (1997). "POSM : An Integrated Oil Spill Fate Model for the EPDSS Decision Support Environment ".
Technical Report HYD-TR-027, National Research Council of Canada, Ottawa, Ont. K1A OR6, Canada. 5. Al-Rabeh, A. H., Cekirge, H. M. and Gunay, N. (1989). "A stochastic simulation model of oil spill fate and transport". Appl. Math. Modelling,
13:322-329.
Oil Spill Simulation Models
14
Fay (1971) considered three phases of oil slick spreading.
a. Gravity-inertia phase : D = K1 (gV)1/4 t1/2
b. Gravity-viscous : D = K2 (gV2/1/2)1/6 t1/4
c. Surface tension-viscous : D = K3 [/(1/2)]1/2 t3/4
Where D= axi-symmetrical spreading diameter; V = total volume of oil spill;
= kinematic viscosity of water, = interfacial tension,
= 1 - o/, o = Density of oil, = Density of water, g = acceleration due to
gravity,
t = time and K1, K2 & K3 = Constant.
Oil Slick DynamicsOil Slick Dynamics
Navier-Stokes equations
(gravity - viscosity regime)
.)(
,)(
,0
oooyo
oooxo
oo
fhuvvky
hgh
fhvuukx
hgh
y
hv
x
hu
t
h
u o , v o = a v e r a g e d v e lo c i t y o f t h e o i l s l i c k p a r t i c l e s ; /)( o ; = d e n s i ty o f w a te r ;
o = d e n s i ty o f o i l ; g = a c c e l e r a t i o n d u e t o g r a v i t y ; u , v a n d w = f l u id v e lo c i ty i n x - , y -a n d z - d i r e c t i o n , r e s p e c t i v e ly ; U , V = w in d v e lo c i ty i n x - a n d y - d i r e c t i o n ,r e s p e c t i v e ly ; VkUk yx 03.0/ ,03.0/ = s h e a r s t r e s s e s d u e t o w in d ; f = C o r io l i s
a c c e l e r a t i o n ; k = w a t e r - o i l f r i c t i o n c o e f f i c i e n t
16
0
Cx
Ut
C
)( 111 nr
nli
ni
ni FFCC
xtU ii /
General form of an explicit upstream finite-difference approximation
iC
1iC2iC 1iC
i-2 i-1 l i r i+1
)( );( CFFCFF rrll
17
HIGH - ORDER ADVECTION APPROXIMATION
USING POLYNOMIAL INTERPOLATION
1niP
niC
1niC1
1
niC
niC 1
space
time
x ix1ix
/)( 1 xxx ii
1 ni
ni PC
1nt
nt
/ tUx i
18
THIRD -DEGREE POLYNOMIAL:
3
0,)(
j
jijiii aP
1
12
)1(, )0(
, )1(, )2(
iiiiiiii
CPCPCPCP
. )0(
, )1(
, )0(, )1(
1
1
ii
ii
iiii
Cx
Px
Cx
Px
CPCP
Leonard (1979)QUICKEST (III-order)
auxiliary conditions:
I II
Holly-Preissmann (1977)(IV-order)
19
6/)1(6/)235(6/)32( 212
211
211
ni
ni
ni
nl CCCF
)( 111 nr
nli
ni
ni FFCC
iC
1iC2iC 1iC
i-2 i-1 l i r i+1
III-order QUICKEST (Leonard, 1979)
20Time (sec) after the oil spill
103 104 105 106
Oil
sli
ck d
iam
eter
(m
)
102
103
104
FAY 3-rd order MOSM 2-nd order MOSM 1-st order MOSM
Oil Transfer at Media Interfaces oil slick oil-in-water emulsion
(due to wind - waves breaking)
h
zh
wave breaking
oil buoyancy
h=kw(1+Sg)H
h=0.2 g-1 kw(1+Sg)U2
Sg = 0 /w
U
.
,
o
o
esee
ee
se
Cz
Kh
dt
dC
CKh
dt
dh
.
,
o
o
esee
ee
se
Cz
Kh
dt
dC
CKh
dt
dh
Ce = Concentration of oil emulsion in the water column
Oil Kinetics
, lossesdt
dh ( 2 a )
,
,
,
lossesCCaKCCaKdt
dC
lossesCCaSKdt
dC
lossesCCaSKdt
dC
pdpdpdpepepep
pdpdwpdd
pepewpee
( 2 b )
.
,
lossesCCaKdt
dC
lossesCCaKdt
dC
pbdbdbpbdbpbpb
pbdbdbpbsdbpbdb
( 2 c )
, lossesdt
dh ( 2 a )
,
,
,
lossesCCaKCCaKdt
dC
lossesCCaSKdt
dC
lossesCCaSKdt
dC
pdpdpdpepepep
pdpdwpdd
pepewpee
( 2 b )
.
,
lossesCCaKdt
dC
lossesCCaKdt
dC
pbdbdbpbdbpbpb
pbdbdbpbsdbpbdb
( 2 c )
h = Oil slick thickness on the water surface, mCe = Concentration of oil emulsion in the water column, g/m3
Cd = Concentration of dissolved oil in the water column, g/m3
Cp = Particulate oil concentration in the water column, g/kgCdb= Concentration of dissolved oil in interstitial water in the bed sediments, g/m3
Cpb = Particulate oil concentration in the bed sediments, g/kg
in slick
in water
column
in bed
sediments
LOSSES:
evaporationhydrolysisphotolysisoxidationbiodegradation
RC
EC
EC
E
z
WwC
y
vC
x
uC
t
C
zyx
z
z y
y x
x
RC
EC
EC
E
z
WwC
y
vC
x
uC
t
C
zyx
z
z y
y x
x
Transport of the oil phases in the water column
Here pdennCC ,,
= concentration of n-th oil phase;
pdennRR ,,
= physical-chemical kinetics;
Ex , Ey and Ez = turbulent eddy coefficients;
pdennWW ,,
= settling velocity of the oil phases.
Ce = Concentration of oil emulsion in the water column, Cd = Concentration of dissolved oil in the water column, Cp = Particulate oil concentration in the water column,
Oil Transfer at Media Interfaces water column - bottom layer
, 1
,
,
,
pppbpbppbws
pb
dddbdbddbdb
pppbpbppbp
dddbdbddbd
CaCKSb
z
dt
dC
CaCKb
z
dt
dC
CaCKdt
dC
CaCKdt
dC
b
water layer
bed sediments
z
. )/(D , z)/(D
)/(
2b
2w
b
K ddb
LawStokesw
wK
p
ppbp
'
z/
exchange coefficients
Model Parameters Parameters description Notation Value UnitsDissolution rate Ksd 5.695x10-1 s-1
Mass transfer rate (slick to emulsion) Kse 7.30x10-6 s-1
Susp.sediment/Wat.column distr.coeff apd 1.760 m3/kgBed sedim./Pore water distr. coefficient apb db 0.500 m3/kgSusp.sediment/Emulsion distr. coeff. ape 2.910x10-3 m3/kgPartit. coeff. “pore water” – “water col.” adb d 1 ---Partit.coeff. “bed sedim” – “susp. sed” apb p 1 ---Sorption rate at water column Kpd 4.724x10-5 s-1
Sorption rate at bed sediment Kpb dp 2.931x10-9 s-1
Sorption rate Kpe 1.670x10-2 s-1
Sediment/water exchange rate Kdb d 7.353x10-8 s-1
Sedimentation rate Kpb p 3.150x10-6 s-1
Volatilization rate (oil slick) Ksv 4.884x10-3 s-1
Volatilization rate (emulsion) Kev 2.723x10-7 s-1
Volatilization rate (dissolved) Kdv 2.723x10-6 s-1
Photolysis rate Kp 5.530x10-6 s-1
Oxidation rate Ko 3.875x10-6 s-1
Biodegradation rate (water column) Ktw 6.543x10-7 s-1
Biodegradation rate (bed sediment) Ktb 1.227x10-7 s-1
29
Distance in km
0 100 200 300 400 500
Oil
sli
ck
th
ick
ness (
h),
m
0.0000
0.0002
0.0003
0.0005
0.0006
0.0d0.5d
1.0d
1.5d
2.0d2.5d 3.0d
3.5d 4.0d
Initial oil slick thickness, ho = 0.006 m
2D simulation. Oil slick thickness
Distance in km
0 100 200 300 400 500
Cd
b in
g/m3
0
48x10-9
96x10-9
144x10-9
1.5d
2.0d
2.5d
3.0d
3.5d
4.0d
1.0d
Dissolved oil concentration in pore water of bed sediments
30
Distance in km
0 100 200 300 400 500
Cd
in g
/m3
0.00
0.05
0.10
0.15
0.20
0.250.5d
1.0d
1.5d
2.0d
2.5d3.0d
3.5d4.0d
2D simulation. Dissolved oil concentration in water column
Distance in km
0 100 200 300 400 500
Ce
in g
/m3
0.00
0.25
0.50
0.75
1.00
1.25
1.500.5d
1.0d
1.5d
2.0d
2.5d3.0d
3.5d4.0d
Emulsified oil concentration in water column
31
Oil Mass Balance
Time (days) after oil spill
0 1 2 3 4
Am
ou
nt
of
oil
(%
)
0
20
40
60
80
100
Atmosphere Water Surface Water Column
32
BOOM-SKIMMER SYSTEM :
Boom opening = 100 mMaximum Skimming rate = 150 m3/ hrMaximum operation at wave height =1 mMaximum effectiveness: (day light) = 80 % @ 5 m/s wind speed 60 % @ 10 m/s (night) = 50 % of day light values.
Oil Mass Balance (without countermeasures)
Time (days) a fte r oil spill
0 1 2 3 4
Am
ou
nt
of
oil
(%
)
0
20
40
60
80
100
Atmosphere Water Surface Water Column
Time (days) after oil spill
0 1 2 3 4
Am
ou
nt
of
oil
(%
)
0
20
40
60
80
100
Water Surface Water Column
Oil Mass Balance.Boom Location: 10 km from the initial oil spill point
Oil Mass Balance.Boom Location: 100 km from the initial oil spill point
Time (days) after oil spill
0 1 2 3 4
Am
ount
of
oil
(%
)
0
20
40
60
80
100
Water Surface Water Column
33
DISPERSANT APPLICATION :
Dispersant : Arcochem D-609Oil : Dispersant Ratio = 143 : 1Maximum dispersant effectiveness = 80 %Lethal concentration (LC50) for Zooplankton (Mysidopsis bahia) = 29 ppm (96 hrs exposure period)Spray width = 50 ft
Oil Mass Balance.Dispersant used 1 hour after the oil spill.
Time (days) after oil spill
0 1 2 3 4
Am
ou
nt
of
oil
(%
)
0
20
40
60
80
100
Atmosphere Water Surface Water Column
Oil Mass Balance. Dispersant used 1 day after the oil spill.
Time (days) after oil spill
0 1 2 3 4
Am
ou
nt
of
oil
(%
)
0
20
40
60
80
100
Atmosphere Water Surface Water Column
Oil Mass Balance (without countermeasures)
Time (days) after oil spill
0 1 2 3 4
Am
ount
of
oil
(%
)
0
20
40
60
80
100
Atmosphere Water Surface Water Column
0 2 0 ,0 0 0 4 0 ,0 0 0 6 0 ,0 0 0 8 0 ,0 0 0 1 0 0 ,0 0 0
m
0
2 0 ,0 0 0
4 0 ,0 0 0
m
S IN G A P O R E
Jo h o r
- 0
2 0
4 0
6 0
8 0
1 0 0
1 2 0
0 2 0 ,0 0 0 4 0 ,0 0 0 6 0 ,0 0 0 8 0 ,0 0 0 1 0 0 ,0 0 0
m
0
2 0 ,0 0 0
4 0 ,0 0 0
m
S IN G A P O R E
Jo h o r
- 0
2 0
4 0
6 0
8 0
1 0 0
1 2 0
3-D oil spill simulation at Singapore Straits
Conclusions
The three-dimensional multiphase oil spill model is developed to simulate the consequences of accidental oil releases in the Singapore Straits.
The model is updated with a high-order numerical scheme for accurate simulation of the oil slick dynamics.
MOSM is powered with the oil combating techniques evaluation sub-module. Test simulations show a good agreement with empirical data.
The three-dimensional multiphase oil spill model is developed to simulate the consequences of accidental oil releases in the Singapore Straits.
The model is updated with a high-order numerical scheme for accurate simulation of the oil slick dynamics.
MOSM is powered with the oil combating techniques evaluation sub-module. Test simulations show a good agreement with empirical data.