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1 AK
5/5/2010
Arif Khan
Schlumberger - Norway
Snorre – FAWAG Revisit
Screening Perspective
2 AK
5/5/2010
© 2010 Schlumberger. All rights reserved.
An asterisk is used throughout this presentation to denote a mark of
Schlumberger. Intelligent performance is a mark of Schlumberger. Other
company, product, and service names are the properties of their
respective owners.
3 AK
5/5/2010
Agenda
 Improved Recovery Methods
 Foam Application
 Snorre FAWAG model & overview
 Filtered Foam Parameter analysis on HM
• Oil Saturation Effect
• Conccentration, bubble density Effect
 Conclusions
• Ranking of Foam Parameters by Effectiveness
• Foam Injeciton Strategies Ranking
• General
 Courtesy and References
 Q&A
4 AK
5/5/2010
Improve Basic Oil Recovery Techniques
Water injection
Gas Injection
Basic oil recovery methods
5 AK
5/5/2010
Improve Basic Oil Recovery Techniques
Improvement Classes of Basic Techniques
1 - Make Injectant fluid more effective in regions where an injectant contacts oil
2 - Try to Steer the Injectants from already drained regions to undrained (oil) areas
6 AK
5/5/2010
Improve Basic Oil Recovery Techniques
Divertors/Agents for 2 classes of basic Techniques
Surfactant flooding
1- Make Injectant fluid more effective in regions where injectant contacts oil
Foams, along with WAG, gel, polymer
2 - Try to Steer the Injectants from already drained regions to undrained (oil) areas
7 AK
5/5/2010
Improve Basic Oil Recovery Techniques
SubDivertors for class-2 of basic Techniques
Foams, along with WAG, gel, polymer
2 - Try to Steer the Injectants from already drained regions to undrained (oil) areas
Gel: is designed to steer the flow of water by reducing water mobility
Foam: is means to control the flow of gas in the reservoir by reducing gas mobility
8 AK
5/5/2010
 Near – Well Injectivity Control
 Near – Well Production Well Treatment
 Sand Control
 Gas Blocking
 Acid Diversion
 Gas Diversion
 Deep Treatments
 Environmental Remediation
Foam Applications
9 AK
5/5/2010
Foam Assisted Water Alternating Gas
Pilot candidate – Western Fault Block
FAWAG Pilot Objectives
to increase sweep efficiency during gas injection,
to increase the storage of gas in the reservoir
to reduce the producing GOR in production well P-39.
Deep Treatment Method
10 AK
5/5/2010
Snorre WFB pilot - history
Pilot time: November 1999 – 2001
Wells involved:
 P32 (inj)/P39 (prod), 1550 m
 P32 (inj)/P42 (prod), 1450 m
2 FAWAG cycles after gas injection and
WAG operation for about 3 years
Total surfactant injected: ~140 tonn
 Slug 1: 15262 SM3 (0.49 wt%) for 9,5
days followed by 100 days gas injection
 Slug 2: 31733 SM3 (0.2 wt%) for 20.3
days followed by more gas injection
Ref: SPE 75157 by A. Skauge et.al.
11 AK
5/5/2010
WFB – sector (Prototype)
WFB – Full Field (2005 – Statoil)
ECLIPSE
Snorre WFB Prototype Model
Prototype – EPS, upscaled Logs, Stochastic,
3Phase
Operator Model
12 AK
5/5/2010
Foam Assisted Water Alternating Gas
Figure: P-32G, Gas injection Mode showing clear
Path of gas flow towards P-39 (Producer),
effecting P-42AP
Gas Breakthrough Path among Producer-Injector Pair (Streamline Based Simulation)
13 AK
5/5/2010
Foam Assisted Water Alternating Gas
Figure : pilot Injector, P-32W, Effect on Surrounding Wells
Water Injector Effecting neighbouring well (Streamline Based Simulation)
14 AK
5/5/2010
Foam Assisted Water Alternating Gas
1. surf 1. GI 2. surf 2. GI*
Cumulative injected [Sm3
] 15262 82.0E6 31733 94.6E6
Time[day] 9.5 100 20.3
Rate (average) [Sm3
/day] 1606 820 000 1564 increasing
[Surfactant] [wt%] 0.49 - 0.20 -
Injection Profiles
15 AA, JR
5/5/2010
1. Surf slug: 0.49 wt%, 9.5 days, 15262 SM3 2. Surf slug: 0.20 wt%, 20.3 days, 31733 SM3
WAG FAWAG WAG
Foam Assisted Water Alternating Gas
Production Profiles
GOR-obs
GOR-sim
16 AK
5/5/2010
SECTOR WFB, Foam Match Run
Input Foam Parameters,
FMSURF 0.0000058,EPSURF 1.0
fmoil 0.35, epoil 2
fmcap 0.00007, epcap 3
fmdry 0.55
epdry 100
FMMOB 70.0
Time (Date)
Gas
Oil
Ratio
SC
(m3/m3)
1997 1998 1999 2000 2001 2002
0
200
400
600
800
1,000
1,200
WGOR_HIST_P39P, History
WGOR_SIM_P39p, Eclipse , Simulated, No Foam
P-39P, STARS Compositional, Foam Match
P-39P STARS, Blackoil, Foam Match
Report History Match Attempt by other workers
GOR-obs
GOR-sim
GOR-Pink & GOR-Green
HM with Foam Parameters
17 AK
5/5/2010
ECLIPSE Blackoil Foam Model
Foam Simulation Model
18 AK
5/5/2010
ECLIPSE Blackoil Foam Model
Foam Simulation Model
Note: Foam decay is
modeled as Oil
saturation vs foam
half-life. The concept
of half life simple
means that after a
certain amount of time
the concentration of
foam becomes half of
the original value.
19 AK
5/5/2010
Mr > # , small size bubble, stable Foam
Mr > # x factors, more unstable Foam
Mr =The reference mobility reduction factor
is typically in the range of 5 to 100 and
corresponds to the normalized resistance
to flow for a minimum bubble size in the
absence of factors that increase bubble
size.
ECLIPSE Blackoil Foam Model
Foam Simulation Model
20 AK
5/5/2010
ECLIPSE Blackoil NEW Foam Model
Foam Simulation Model
Foam can be modelled as transport in:
> Water (new mechnism) or
> Gas (old versions)
Foam material balance in a Reservoir
Oil accelerated
Effective foam is the one
that remains in the
solution form
21 AA, JR
5/5/2010
Som = Max Oil sat. Above whic foam is not effective=0.3
So = Curent Block Oil Saturation @timestep =0.2
eo = is an exponent which controls the steepness of the transition
about the point = 1
Foam Simulation Model
Simple Calculation
22 AA, JR
5/5/2010
Som = Max Oil sat. Above whic foam is not effective=0.3
So = Curent Block Oil Saturation @timestep =0.2
eo = is an exponent which controls the steepness of the transition
about the point = 1
Mr = 100
Fs, Fw, Fc =1
Foam Simulation Model
Simple Calculation
23 AA, JR
5/5/2010
Som = Max Oil sat. Above whic foam is not effective=0.3
So = Curent Block Oil Saturation @timestep =0.2
eo = is an exponent which controls the steepness of the transition
about the point = 1
Mr = 100
Fs, Fw, Fc =1
Foam Simulation Model
Simple Calculation
24 AA, JR
5/5/2010
Som = Max Oil sat. Above whic foam is not effective=0.3
So = Curent Block Oil Saturation @timestep =0.2
eo = is an exponent which controls the steepness of the transition
about the point = 1
Fo = ((0.3-0.2)/0.3)^1
=0.33
MRF = 1/ (1+MrxFo)
=1/(1+100x0.33)
=0.03 (Foam)
Mr = 100
Fs, Fw, Fc =1
Foam Simulation Model
Simple Calculation
25 AA, JR
5/5/2010
Som = Max Oil sat. Above whic foam is not effective=0.3
So = Curent Block Oil Saturation @timestep =0.2
eo = is an exponent which controls the steepness of the transition
about the point = 1
Fo = ((0.3-0.2)/0.3)^1
=0.33
MRF = 1/ (1+MrxFo)
=1/(1+100x0.33)
=0.03 (Foam)
Mr = 100
Fs, Fw, Fc =1
Fo = ((0.3-0.3)/0.2)^1
=0.0
MRF = 1/ (1+MrxFo)
=1/(1+100x0.0)
= 1 (No Foam)
Foam Simulation Model
Simple Calculation
26 AA, JR
5/5/2010
Som = Max Oil sat. Above whic foam is not effective=0.3
So = Curent Block Oil Saturation @timestep =0.2
eo = is an exponent which controls the steepness of the transition
about the point = 0.25
Fo = ((0.3-0.2)/0.3)^0.25
=0.76
MRF = 1/ (1+MrxFo)
=1/(1+100x0.76)
=0.01 ( VERY Good Foam)
Mr = 100
Fs, Fw, Fc =1
Fo = ((0.3-0.3)/0.2)^0.25
=0.0
MRF = 1/ (1+MrxFo)
=1/(1+100x0.0)
= 1 (No Foam)
Foam Simulation Model
Simple Calculation
27 AK
5/5/2010
Foam Oil Saturation Function
Snorre Prototype- Homogenous Reservoir
Sensitivity analysis: Foam oil saturation function –
Comparison for Recovery factors and GORs between low,
medium and high oil affected, HIGH strength foams.es=1,
Csr=0.01
I
N
C
R
E
A
S
I
N
G
I
n
c
r
e
a
s
i
n
g
I
N
C
R
E
A
S
I
N
G
1/(1+MrxFo)
I
N
C
R
E
A
S
I
N
G
S
o
c
h
a
n
g
e
F
a
s
t
e
r
So change Slower
Unstable
Foam
stable
Foam
Shifting higher
Som improves
Foam and thus
more gas is
stored and less
GOR
Shifting higher eo
accelerate
unstability of
Foam and thus
less gas is stored
and more GOR
28 AA, JR
5/5/2010
MRF = 70, FMOIL_EPOIL SENSTIVITY
Gas Oil Ratio SC P-39P RESTART_SECTOR_WFB_MRF_70_epoil_0.5_fmoil_0.2.irf
Gas Oil Ratio SC P-39P RESTART_SECTOR_WFB_MRF_70_epoil_1_fmoil_0.2.irf
Gas Oil Ratio SC P-39P RESTART_SECTOR_WFB_MRF_70_epoil_2_fmoil_0.2.irf
Gas Oil Ratio SC WGOR_HIST_P39P gor_p39p.fhf
Gas Oil Ratio SC P-39P SECTOR_WFB_No_Foam_11.irf
Gas Rate SC P-32G SECTOR_WFB_No_Foam_11.irf
Water Rate SC P-32W_ij SECTOR_WFB_No_Foam_11.irf
Time (Date)
Gas
Oil
Ratio
SC
(m3/m3)
Gas
Rate
SC
(m3/day)
Water
Rate
SC
(m3/day)
1999-10-1 1999-12-30 2000-3-29 2000-6-27 2000-9-25 2000-12-24
0
200
400
600
800
0.00e+0
5.00e+5
1.00e+6
1.50e+6
2.00e+6
0
2,000
4,000
6,000
8,000
I
N
C
R
E
A
S
I
N
G
1. Surf slug: 0.49 wt%, 9.5 days, 15262 SM3 2. Surf slug: 0.20 wt%, 20.3 days, 31733 SM3
Foam Oil Saturation Function
With lower Som, eo effect is large
29 AA, JR
5/5/2010
MRF = 70, FMOIL_EPOIL SENSTIVITY
WGOR (other foam factors, switch off)
RESTART_SECTOR_WFB_MRF_70_epoil_0_fmoil_0.3.irf
RESTART_SECTOR_WFB_MRF_70_epoil_0.5_fmoil_0.3.irf
RESTART_SECTOR_WFB_MRF_70_epoil_1_fmoil_0.3.irf
RESTART_SECTOR_WFB_MRF_70_epoil_2_fmoil_0.3.irf
History
Eclipse-fullfield-no foam
WGIR, P-32G
WWIR, P-32W
No Foam
Time (Date)
Gas
Oil
Ratio
SC
(m3/m3)
Gas
Rate
SC
(m3/day)
Water
Rate
SC
(m3/day)
2000-1 2000-4 2000-7 2000-10
0
200
400
600
800
0.00e+0
5.00e+5
1.00e+6
1.50e+6
2.00e+6
0
2,000
4,000
6,000
8,000
I
N
C
R
E
A
S
I
N
G
Foam Oil Saturation Function
With higher Som, eo effect is narrow
30 AK
5/5/2010
Weak foam
Strong foam
Foam Oil Saturation Function
Combination Match
Hist-GOR
eo=2, som=0.2
eo=2, som=0.3
31 AK
5/5/2010
Foam Surf. Conc. Function
Snorre Prototype- Homogenous Reservoir
I
N
C
R
E
A
S
I
N
G
I
n
c
r
e
a
s
i
n
g
1/(1+MrxFs)
c
h
a
n
g
e
F
a
s
t
e
r
c
h
a
n
g
e
S
l
o
w
e
r
Unstable
Foam
s
t
a
b
l
e
F
o
a
m
Sensitivity analysis: Foam concentration function – Effect of
changing es on Recovery factor and Average Mrf
U
n
s
t
a
b
l
e
F
o
a
m
stable
Foam
optimum
es = 7
es = 1,2,3
Sensitivity analysis: Foam concentration function: Effect of foam
strength on Injector well BHP.
Foam Surf. Conc. Function
Effect of foam strength on Injector well BHP.
High stength Foam,
retards injectivity in
injector thus BHP
rises, good sign of
Foam strength – but
issues sometimes
with co-injection --
fracing wells
Summarized results from the sensitivity analysis of Foam concentration
Foam Surf. Conc. Function
Hetro-Horitz Hetro-Incl
Homog-Horitz
Homog-Incl
Gravity BT’s
Effect of Reservoir Type and Dip on Recovery in terms of Vol of Foam injected
Homog-Horitz
Due to stable front
arrival
Hetro-Horitz
Hetro-Incl
Overall hetrogenous res will have less recovery than the homogenous,
and inclination will impede foam formation
34 AK
5/5/2010
MRF Sensitivity
SECTOR_WFB_MRF_10.irf
SECTOR_WFB_MRF_20.irf
SECTOR_WFB_MRF_50.irf
SECTOR_WFB_MRF_70.irf
SECTOR_WFB_MRF_100.irf
SECTOR_WFB_MRF_200.irf
SECTOR_WFB_MRF_300.irf
SECTOR_WFB_MRF_400.irf
Sector, No Foam
History
Gas Injection
Water Injection
Time (Date)
Gas
Oil
Ratio
SC
(m3/m3)
Gas
Rate
SC
(m3/day)
Water
Rate
SC
(m3/day)
1998-12-1 1999-5-30 1999-11-26 2000-5-24 2000-11-20
0
200
400
600
800
0.00e+0
5.00e+5
1.00e+6
1.50e+6
2.00e+6
0
2,000
4,000
6,000
8,000
FAWAG
MRF = 50 (Ref SPE75157)
MRF =10
MRF =20
200>MRF >100
Foam Surf. Conc. Function & MRF combination
Combination Match
history
35 AK
5/5/2010
f(Fs)  f(Mr ) > Fo > Fc > Fw
The key parameters with ranges of effectiveness are:
es Range : 1 – 7
eo Range : 1 – 10
ec Range : 1 – 2
fw Range : 0.1 – 1000
Result of Foam properties sensitivity
Conclusions
36 AK
5/5/2010
Foam Injection Strategies
Recovery
Factor
GOR
&
Bt
time
Good options
Selective treatment
Conclusions
37 AA, JR
5/5/2010
Gravity affects foam flow behavior. This implies that short WAG cycles of 1 month or 2 months are
beneficial in foam injection rather than longer ones.
Run simple Scenarios to develop any pilot understanding
Parametric approach to do quick feasibility study with simple physical input
Key parameters affect foam performance in this case are: WAG ratio, Controlled foam injection
(Use of smart wells).
Foam can be effectively used to control gas front in layers of different permeability. This action
can be performed by changing two foam parameters es and Mr
Key parameters found affecting concentration performance are: Reservoir heterogeneity, Inclination
Conclusions
38 AA, JR
5/5/2010
Courtesy & References
39 AK
5/5/2010
Thank you
Questions please!
Arif Khan
PetroTechnical Expert (Reservoir/Production)
Engineering Services
Data & Consulting Services – NorthSea Geomarket
Schlumberger - Oilfield Services
Mobile # +47 45 22 1367
Direct line # +47 5194 6717
Risabergveien-3, 4068 Stavanger - Norway
http://hub.slb.com/services/reservoir_characterization.aspx
40 AK
5/5/2010
ECLIPSE 100 models foam by an approximate but potentially accurate method that uses
foam flowing through the reservoir as a tracer that may be transported with either the gas
or the water phase with account taken of adsorption on to the rock surface and decay
over time . The model does not explain the non-newtonian foam flow behavior and the
physical processes associated with foam generation, flow and collapse. This model can
be used as good comparison tool.
The process can be explained by four simple steps:
Laboratory experiments on surfactants
Black oil simulation
History match to fit foam parameters
Predicting the future.

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Screening Perspective - New Foam model (test on actual field)

  • 1. 1 AK 5/5/2010 Arif Khan Schlumberger - Norway Snorre – FAWAG Revisit Screening Perspective
  • 2. 2 AK 5/5/2010 © 2010 Schlumberger. All rights reserved. An asterisk is used throughout this presentation to denote a mark of Schlumberger. Intelligent performance is a mark of Schlumberger. Other company, product, and service names are the properties of their respective owners.
  • 3. 3 AK 5/5/2010 Agenda  Improved Recovery Methods  Foam Application  Snorre FAWAG model & overview  Filtered Foam Parameter analysis on HM • Oil Saturation Effect • Conccentration, bubble density Effect  Conclusions • Ranking of Foam Parameters by Effectiveness • Foam Injeciton Strategies Ranking • General  Courtesy and References  Q&A
  • 4. 4 AK 5/5/2010 Improve Basic Oil Recovery Techniques Water injection Gas Injection Basic oil recovery methods
  • 5. 5 AK 5/5/2010 Improve Basic Oil Recovery Techniques Improvement Classes of Basic Techniques 1 - Make Injectant fluid more effective in regions where an injectant contacts oil 2 - Try to Steer the Injectants from already drained regions to undrained (oil) areas
  • 6. 6 AK 5/5/2010 Improve Basic Oil Recovery Techniques Divertors/Agents for 2 classes of basic Techniques Surfactant flooding 1- Make Injectant fluid more effective in regions where injectant contacts oil Foams, along with WAG, gel, polymer 2 - Try to Steer the Injectants from already drained regions to undrained (oil) areas
  • 7. 7 AK 5/5/2010 Improve Basic Oil Recovery Techniques SubDivertors for class-2 of basic Techniques Foams, along with WAG, gel, polymer 2 - Try to Steer the Injectants from already drained regions to undrained (oil) areas Gel: is designed to steer the flow of water by reducing water mobility Foam: is means to control the flow of gas in the reservoir by reducing gas mobility
  • 8. 8 AK 5/5/2010  Near – Well Injectivity Control  Near – Well Production Well Treatment  Sand Control  Gas Blocking  Acid Diversion  Gas Diversion  Deep Treatments  Environmental Remediation Foam Applications
  • 9. 9 AK 5/5/2010 Foam Assisted Water Alternating Gas Pilot candidate – Western Fault Block FAWAG Pilot Objectives to increase sweep efficiency during gas injection, to increase the storage of gas in the reservoir to reduce the producing GOR in production well P-39. Deep Treatment Method
  • 10. 10 AK 5/5/2010 Snorre WFB pilot - history Pilot time: November 1999 – 2001 Wells involved:  P32 (inj)/P39 (prod), 1550 m  P32 (inj)/P42 (prod), 1450 m 2 FAWAG cycles after gas injection and WAG operation for about 3 years Total surfactant injected: ~140 tonn  Slug 1: 15262 SM3 (0.49 wt%) for 9,5 days followed by 100 days gas injection  Slug 2: 31733 SM3 (0.2 wt%) for 20.3 days followed by more gas injection Ref: SPE 75157 by A. Skauge et.al.
  • 11. 11 AK 5/5/2010 WFB – sector (Prototype) WFB – Full Field (2005 – Statoil) ECLIPSE Snorre WFB Prototype Model Prototype – EPS, upscaled Logs, Stochastic, 3Phase Operator Model
  • 12. 12 AK 5/5/2010 Foam Assisted Water Alternating Gas Figure: P-32G, Gas injection Mode showing clear Path of gas flow towards P-39 (Producer), effecting P-42AP Gas Breakthrough Path among Producer-Injector Pair (Streamline Based Simulation)
  • 13. 13 AK 5/5/2010 Foam Assisted Water Alternating Gas Figure : pilot Injector, P-32W, Effect on Surrounding Wells Water Injector Effecting neighbouring well (Streamline Based Simulation)
  • 14. 14 AK 5/5/2010 Foam Assisted Water Alternating Gas 1. surf 1. GI 2. surf 2. GI* Cumulative injected [Sm3 ] 15262 82.0E6 31733 94.6E6 Time[day] 9.5 100 20.3 Rate (average) [Sm3 /day] 1606 820 000 1564 increasing [Surfactant] [wt%] 0.49 - 0.20 - Injection Profiles
  • 15. 15 AA, JR 5/5/2010 1. Surf slug: 0.49 wt%, 9.5 days, 15262 SM3 2. Surf slug: 0.20 wt%, 20.3 days, 31733 SM3 WAG FAWAG WAG Foam Assisted Water Alternating Gas Production Profiles GOR-obs GOR-sim
  • 16. 16 AK 5/5/2010 SECTOR WFB, Foam Match Run Input Foam Parameters, FMSURF 0.0000058,EPSURF 1.0 fmoil 0.35, epoil 2 fmcap 0.00007, epcap 3 fmdry 0.55 epdry 100 FMMOB 70.0 Time (Date) Gas Oil Ratio SC (m3/m3) 1997 1998 1999 2000 2001 2002 0 200 400 600 800 1,000 1,200 WGOR_HIST_P39P, History WGOR_SIM_P39p, Eclipse , Simulated, No Foam P-39P, STARS Compositional, Foam Match P-39P STARS, Blackoil, Foam Match Report History Match Attempt by other workers GOR-obs GOR-sim GOR-Pink & GOR-Green HM with Foam Parameters
  • 17. 17 AK 5/5/2010 ECLIPSE Blackoil Foam Model Foam Simulation Model
  • 18. 18 AK 5/5/2010 ECLIPSE Blackoil Foam Model Foam Simulation Model Note: Foam decay is modeled as Oil saturation vs foam half-life. The concept of half life simple means that after a certain amount of time the concentration of foam becomes half of the original value.
  • 19. 19 AK 5/5/2010 Mr > # , small size bubble, stable Foam Mr > # x factors, more unstable Foam Mr =The reference mobility reduction factor is typically in the range of 5 to 100 and corresponds to the normalized resistance to flow for a minimum bubble size in the absence of factors that increase bubble size. ECLIPSE Blackoil Foam Model Foam Simulation Model
  • 20. 20 AK 5/5/2010 ECLIPSE Blackoil NEW Foam Model Foam Simulation Model Foam can be modelled as transport in: > Water (new mechnism) or > Gas (old versions) Foam material balance in a Reservoir Oil accelerated Effective foam is the one that remains in the solution form
  • 21. 21 AA, JR 5/5/2010 Som = Max Oil sat. Above whic foam is not effective=0.3 So = Curent Block Oil Saturation @timestep =0.2 eo = is an exponent which controls the steepness of the transition about the point = 1 Foam Simulation Model Simple Calculation
  • 22. 22 AA, JR 5/5/2010 Som = Max Oil sat. Above whic foam is not effective=0.3 So = Curent Block Oil Saturation @timestep =0.2 eo = is an exponent which controls the steepness of the transition about the point = 1 Mr = 100 Fs, Fw, Fc =1 Foam Simulation Model Simple Calculation
  • 23. 23 AA, JR 5/5/2010 Som = Max Oil sat. Above whic foam is not effective=0.3 So = Curent Block Oil Saturation @timestep =0.2 eo = is an exponent which controls the steepness of the transition about the point = 1 Mr = 100 Fs, Fw, Fc =1 Foam Simulation Model Simple Calculation
  • 24. 24 AA, JR 5/5/2010 Som = Max Oil sat. Above whic foam is not effective=0.3 So = Curent Block Oil Saturation @timestep =0.2 eo = is an exponent which controls the steepness of the transition about the point = 1 Fo = ((0.3-0.2)/0.3)^1 =0.33 MRF = 1/ (1+MrxFo) =1/(1+100x0.33) =0.03 (Foam) Mr = 100 Fs, Fw, Fc =1 Foam Simulation Model Simple Calculation
  • 25. 25 AA, JR 5/5/2010 Som = Max Oil sat. Above whic foam is not effective=0.3 So = Curent Block Oil Saturation @timestep =0.2 eo = is an exponent which controls the steepness of the transition about the point = 1 Fo = ((0.3-0.2)/0.3)^1 =0.33 MRF = 1/ (1+MrxFo) =1/(1+100x0.33) =0.03 (Foam) Mr = 100 Fs, Fw, Fc =1 Fo = ((0.3-0.3)/0.2)^1 =0.0 MRF = 1/ (1+MrxFo) =1/(1+100x0.0) = 1 (No Foam) Foam Simulation Model Simple Calculation
  • 26. 26 AA, JR 5/5/2010 Som = Max Oil sat. Above whic foam is not effective=0.3 So = Curent Block Oil Saturation @timestep =0.2 eo = is an exponent which controls the steepness of the transition about the point = 0.25 Fo = ((0.3-0.2)/0.3)^0.25 =0.76 MRF = 1/ (1+MrxFo) =1/(1+100x0.76) =0.01 ( VERY Good Foam) Mr = 100 Fs, Fw, Fc =1 Fo = ((0.3-0.3)/0.2)^0.25 =0.0 MRF = 1/ (1+MrxFo) =1/(1+100x0.0) = 1 (No Foam) Foam Simulation Model Simple Calculation
  • 27. 27 AK 5/5/2010 Foam Oil Saturation Function Snorre Prototype- Homogenous Reservoir Sensitivity analysis: Foam oil saturation function – Comparison for Recovery factors and GORs between low, medium and high oil affected, HIGH strength foams.es=1, Csr=0.01 I N C R E A S I N G I n c r e a s i n g I N C R E A S I N G 1/(1+MrxFo) I N C R E A S I N G S o c h a n g e F a s t e r So change Slower Unstable Foam stable Foam Shifting higher Som improves Foam and thus more gas is stored and less GOR Shifting higher eo accelerate unstability of Foam and thus less gas is stored and more GOR
  • 28. 28 AA, JR 5/5/2010 MRF = 70, FMOIL_EPOIL SENSTIVITY Gas Oil Ratio SC P-39P RESTART_SECTOR_WFB_MRF_70_epoil_0.5_fmoil_0.2.irf Gas Oil Ratio SC P-39P RESTART_SECTOR_WFB_MRF_70_epoil_1_fmoil_0.2.irf Gas Oil Ratio SC P-39P RESTART_SECTOR_WFB_MRF_70_epoil_2_fmoil_0.2.irf Gas Oil Ratio SC WGOR_HIST_P39P gor_p39p.fhf Gas Oil Ratio SC P-39P SECTOR_WFB_No_Foam_11.irf Gas Rate SC P-32G SECTOR_WFB_No_Foam_11.irf Water Rate SC P-32W_ij SECTOR_WFB_No_Foam_11.irf Time (Date) Gas Oil Ratio SC (m3/m3) Gas Rate SC (m3/day) Water Rate SC (m3/day) 1999-10-1 1999-12-30 2000-3-29 2000-6-27 2000-9-25 2000-12-24 0 200 400 600 800 0.00e+0 5.00e+5 1.00e+6 1.50e+6 2.00e+6 0 2,000 4,000 6,000 8,000 I N C R E A S I N G 1. Surf slug: 0.49 wt%, 9.5 days, 15262 SM3 2. Surf slug: 0.20 wt%, 20.3 days, 31733 SM3 Foam Oil Saturation Function With lower Som, eo effect is large
  • 29. 29 AA, JR 5/5/2010 MRF = 70, FMOIL_EPOIL SENSTIVITY WGOR (other foam factors, switch off) RESTART_SECTOR_WFB_MRF_70_epoil_0_fmoil_0.3.irf RESTART_SECTOR_WFB_MRF_70_epoil_0.5_fmoil_0.3.irf RESTART_SECTOR_WFB_MRF_70_epoil_1_fmoil_0.3.irf RESTART_SECTOR_WFB_MRF_70_epoil_2_fmoil_0.3.irf History Eclipse-fullfield-no foam WGIR, P-32G WWIR, P-32W No Foam Time (Date) Gas Oil Ratio SC (m3/m3) Gas Rate SC (m3/day) Water Rate SC (m3/day) 2000-1 2000-4 2000-7 2000-10 0 200 400 600 800 0.00e+0 5.00e+5 1.00e+6 1.50e+6 2.00e+6 0 2,000 4,000 6,000 8,000 I N C R E A S I N G Foam Oil Saturation Function With higher Som, eo effect is narrow
  • 30. 30 AK 5/5/2010 Weak foam Strong foam Foam Oil Saturation Function Combination Match Hist-GOR eo=2, som=0.2 eo=2, som=0.3
  • 31. 31 AK 5/5/2010 Foam Surf. Conc. Function Snorre Prototype- Homogenous Reservoir I N C R E A S I N G I n c r e a s i n g 1/(1+MrxFs) c h a n g e F a s t e r c h a n g e S l o w e r Unstable Foam s t a b l e F o a m Sensitivity analysis: Foam concentration function – Effect of changing es on Recovery factor and Average Mrf U n s t a b l e F o a m stable Foam optimum
  • 32. es = 7 es = 1,2,3 Sensitivity analysis: Foam concentration function: Effect of foam strength on Injector well BHP. Foam Surf. Conc. Function Effect of foam strength on Injector well BHP. High stength Foam, retards injectivity in injector thus BHP rises, good sign of Foam strength – but issues sometimes with co-injection -- fracing wells
  • 33. Summarized results from the sensitivity analysis of Foam concentration Foam Surf. Conc. Function Hetro-Horitz Hetro-Incl Homog-Horitz Homog-Incl Gravity BT’s Effect of Reservoir Type and Dip on Recovery in terms of Vol of Foam injected Homog-Horitz Due to stable front arrival Hetro-Horitz Hetro-Incl Overall hetrogenous res will have less recovery than the homogenous, and inclination will impede foam formation
  • 34. 34 AK 5/5/2010 MRF Sensitivity SECTOR_WFB_MRF_10.irf SECTOR_WFB_MRF_20.irf SECTOR_WFB_MRF_50.irf SECTOR_WFB_MRF_70.irf SECTOR_WFB_MRF_100.irf SECTOR_WFB_MRF_200.irf SECTOR_WFB_MRF_300.irf SECTOR_WFB_MRF_400.irf Sector, No Foam History Gas Injection Water Injection Time (Date) Gas Oil Ratio SC (m3/m3) Gas Rate SC (m3/day) Water Rate SC (m3/day) 1998-12-1 1999-5-30 1999-11-26 2000-5-24 2000-11-20 0 200 400 600 800 0.00e+0 5.00e+5 1.00e+6 1.50e+6 2.00e+6 0 2,000 4,000 6,000 8,000 FAWAG MRF = 50 (Ref SPE75157) MRF =10 MRF =20 200>MRF >100 Foam Surf. Conc. Function & MRF combination Combination Match history
  • 35. 35 AK 5/5/2010 f(Fs)  f(Mr ) > Fo > Fc > Fw The key parameters with ranges of effectiveness are: es Range : 1 – 7 eo Range : 1 – 10 ec Range : 1 – 2 fw Range : 0.1 – 1000 Result of Foam properties sensitivity Conclusions
  • 36. 36 AK 5/5/2010 Foam Injection Strategies Recovery Factor GOR & Bt time Good options Selective treatment Conclusions
  • 37. 37 AA, JR 5/5/2010 Gravity affects foam flow behavior. This implies that short WAG cycles of 1 month or 2 months are beneficial in foam injection rather than longer ones. Run simple Scenarios to develop any pilot understanding Parametric approach to do quick feasibility study with simple physical input Key parameters affect foam performance in this case are: WAG ratio, Controlled foam injection (Use of smart wells). Foam can be effectively used to control gas front in layers of different permeability. This action can be performed by changing two foam parameters es and Mr Key parameters found affecting concentration performance are: Reservoir heterogeneity, Inclination Conclusions
  • 39. 39 AK 5/5/2010 Thank you Questions please! Arif Khan PetroTechnical Expert (Reservoir/Production) Engineering Services Data & Consulting Services – NorthSea Geomarket Schlumberger - Oilfield Services Mobile # +47 45 22 1367 Direct line # +47 5194 6717 Risabergveien-3, 4068 Stavanger - Norway http://hub.slb.com/services/reservoir_characterization.aspx
  • 40. 40 AK 5/5/2010 ECLIPSE 100 models foam by an approximate but potentially accurate method that uses foam flowing through the reservoir as a tracer that may be transported with either the gas or the water phase with account taken of adsorption on to the rock surface and decay over time . The model does not explain the non-newtonian foam flow behavior and the physical processes associated with foam generation, flow and collapse. This model can be used as good comparison tool. The process can be explained by four simple steps: Laboratory experiments on surfactants Black oil simulation History match to fit foam parameters Predicting the future.