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Analysis of Various ParametersAffecting
the Design of PassiveAdvanced
Well Completion
MSc. Petroleum Engineering
Project Report 2013/2014
Temirlan Jatykov
Heriot-Watt University
Institute of Petroleum Engineering
Supervisors: David Davies, Khafiz Muradov, Bona Prakasa
Outline
• Introduction
• Purpose
• Workflow, Results and Discussions
• Conclusion
• Suggestion for Future Work
2
Introduction
• Heel-toe effect causes
early water or gas
breakthrough
• No (or reduced) heel-
toe effect using
passive advanced well
completion – causes
equalized flow
distribution
3
• Analyse various parameters and understand their impact on passive advanced
well behaviour
• Explain and validate Birchenko's Analytical Estimation of ICD strength, i.e.
explain his rule of thumb
• Propose additional methodology (workflow) of how to design advanced well
completion using ICDs in terms of optimum well and field performance
4
Purpose
Inflow Control Devices
• Nozzle type
• Orifice type
• Channel type
- helical
- labyrinth type
• Slotted
• Tube type
5
ICDs
ICD is a device to make flow to
well evenly distributed along
the wellpath
(Faisal Al-Khelaiwi. 2013)
Used with:
• Debris filter
• Sand screen
Study of ICD Performance
Can be analysed with:
• Well modelling software
• Reservoir simulation software
But there are also relatively simple analytical models:
• Depending on what assumptions and what aims they are needed to
for (Birchenko et al, 2010):
Quick feasibility studies (screening ICD installation candidates)
Verification of numerical simulation results
Communicating best practices in a non-product specific manner
6
Birchenko’s analytical method to
reduce heel-toe effect
• General solution:
• 𝑼 𝒍 =
−𝟏+ 𝟏+𝟒𝒂∆𝑷 𝒍 𝒋 𝟐(𝒍)
𝟐𝒂𝒋(𝒍)
• 𝒒 𝒘 =
−𝟏+ 𝟏+𝟒𝒂∆𝑷 𝒍 𝒋 𝟐(𝒍)
𝟐𝒂𝒋(𝒍)
𝑳
𝟎
𝒅𝒍
• ∆𝑷 𝒍 = 𝒂𝑼 𝟐
𝒍 +
𝑼 𝒍
𝒋 𝒍
• 𝑗 =
𝐽
𝐿
specific productivity index
•
𝑑𝑞
𝑑𝑙
= 𝑗(𝑙)(𝑃𝑒 − 𝑃𝑎 𝑙 )
• 𝑈 𝑙 =
𝑑𝑞
𝑑𝑙
specific flow rate
• ∆𝑃 = ∆𝑃𝑟 + ∆𝑃𝐼𝐶𝐷 - total pressure
drop
7
Heel Toe
Birchenko’s analytical method to
reduce heel-toe effect
Homogeneous reservoir case:
• Two solutions:
Rate constrained well
Pressure constrained well
• 𝑞 𝑤 ≈ 𝑗∆𝑃𝑟ℎ 1.5/(1.5 + 𝑖 𝑝)
3
• 𝑈(𝑙) ≈ 𝑗∆𝑃𝑟ℎ 1 − 𝐺 𝑝
𝑙
𝐿
3
+ 𝐺 𝑝
• 𝒊 𝒑 =
𝑪 𝒇 𝝆𝒇 𝒂 𝑩 𝟐 𝒋 𝟐 𝑳 𝟑∆𝑷 𝒓𝒉
𝟐𝒂𝒋 𝟐 𝑷 𝒓𝒉+𝟏 𝑫 𝟓
• 𝐺 𝑝 ≈ 1 −
𝑖 𝑝
(1.5+𝑖 𝑝)
8
∆𝑃𝐼𝐶𝐷 ≈ 𝑛∆𝑃𝑟ℎ
𝑎 ≈
𝑛𝐿2
∆𝑃𝑟ℎ 𝐽2
𝑎𝐼𝐶𝐷 ≈ (
𝜌𝜇 𝑐𝑎𝑙
𝜌 𝑐𝑎𝑙 𝜇
)
1
4
𝜌 𝑐𝑎𝑙 𝑛𝐿2
𝜌𝑙𝐼𝐶𝐷
2
𝐵2∆𝑃𝑟ℎ 𝐽2
𝑑 ≈
𝐶 𝑢 𝜌𝑙𝐼𝐶𝐷
2
𝐵2
∆𝑃𝑟ℎ 𝐽2
𝐶 𝑑
2
𝑛𝐿2
Rule of Thumb  𝑛 ≈
𝑈ℎ
𝑈𝑡 𝑛𝑜𝐼𝐶𝐷
− 1
ICD strength parameter
Workflow, Results and Discussions
9
Creation of a Base Case • All data was
matched to get
the curves
Birchenko got
• Data used are
obtained from
Troll field case
studies
• This is done to
get reasonable
numbers to
create a grid of
synthetic
reservoir
10
Length (L) = 8202.1 ft
Internal Diameter (ID) = 0.49 ft
Pressure drop at heel (∆Prh)= 17.4 psi
Productivity index (PI) = 2168 bbl/psi/day
ICD strength = 2.7613
𝑝𝑠𝑖∙𝑓𝑡2
(𝑏𝑏𝑙/𝑑𝑎𝑦)2
0
1
2
3
4
5
6
0 2000 4000 6000 8000 10000
U(l),stb/day/ft
MD from heel, ft
with ICD
No ICD
Creation of reservoir grid in Eclipse
L = 8202 ft
W = 1400 ft
h = 111 ft
k = 1837 mD
φ = 20%
Relative permeabilities
Capillary pressure
4000 cells
Homogeneous
etc
11
Exaggeration 1:50 in Z direction
So
Input data to NETool
• The Base Case model
was created in NETool,
i.e. reservoir and well
were created.
• Now variable analysis
could be done.
• This is only static
model – i.e. doesn’t
change with time.
• ICD strength = 2.7613
𝑝𝑠𝑖∙𝑓𝑡2
(𝑏𝑏𝑙/𝑑𝑎𝑦)2
12
0
1
2
3
4
5
0 5000 10000
U,stb/day/ft
MD from heel, ft
U(l)
U(l) Birchenko
U(l) from NETool
Reasonable match is achieved
d = 0.1588 inch – Nozzle diameter
Results for different nozzle sizes for
Base Case
The concept of
•
𝑈ℎ
𝑈𝑡 𝑟𝑎𝑡𝑖𝑜
=
𝑈ℎ
𝑈 𝑡 𝑤𝑖𝑡ℎ 𝐼𝐶𝐷
𝑈ℎ
𝑈 𝑡 𝑛𝑜 𝐼𝐶𝐷
vs
• 𝑃𝐼𝑟𝑎𝑡𝑖𝑜 =
𝑃𝐼 𝑤𝑖𝑡ℎ 𝐼𝐶𝐷
𝑃𝐼 𝑛𝑜 𝐼𝐶𝐷
is proposed here to show
and explain the validity of
Birchenko proposed rule
of thumb
13
0
0,2
0,4
0,6
0,8
1
1,2
00,20,40,6 PIratio
Uh/Ut ratio
BHP constant
This is the point which is
proposed by analytical
model of Birchenko based
on his rule of thumb
ICD strength increases
Results for different nozzle sizes for
Base Case
14
0
0,2
0,4
0,6
0,8
1
1,2
00,20,40,6
Uh/UtratioandPIratio
Nozzle diameter d, inch
BHP constant
Uh/Ut ratio
PI ratio
0
0,2
0,4
0,6
0,8
1
1,2
00,20,40,6
PIratio
Uh/Ut ratio
BHP constant
These are the points which
are proposed by analytical
model of Birchenko, based
on his rule of thumb
0
0,2
0,4
0,6
0,8
1
1,2
0 50 100 150
Uh/UtratioandPIratio
delta Picd, psi
BHP constant
Uh/Ut ratio
PI ratio
Length affecting the well’s Uh/Ut ratio at
analytically recommended ICDs
• The higher the length the
lesser the Uh/Ut ratio which is
achievable.
• The more beneficial ICD
installation
• But there is always trade-off
between equalization and PI
15
1 2 3 4
Ряд1 0,96986 0,38464 0,12440 0,01528
0,00
0,20
0,40
0,60
0,80
1,00
1,20
Uh/Utratioatrecom.ICD
Uh/Ut ratio at recom.ICD (thresholds)
1640ft
4921ft
8202ft
16400ft
1 2 3 4
Ряд1 0,87287 0,70473 0,59597 0,45669
0,00
0,10
0,20
0,30
0,40
0,50
0,60
0,70
0,80
0,90
1,00
PIratioatrecon.ICD
PI ratio at recom.ICD at differ. L
1640ft
4921ft
8202ft
16400ft
PI reduction is not so high
as Uh/Ut ratio reduction
ID affecting the well’s Uh/Ut ratio at analytically
recommended ICDs
16
1 2 3
Ряд1 0,04905 0,38464 0,53783
0,0
0,1
0,2
0,3
0,4
0,5
0,6
Uh/Utratioatrecom.ICD
L=4921ft Uh/Ut ratio at
recom.ICD at different IDs
1 2 3
Ряд1 0,53902 0,70473 0,70007
0,0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
PIratioatrecom.ICD
L=4921ft PI ratio at recom.ICD
at different IDs
1 2 3
Ряд1 0,01105 0,12440 0,22040
0,0
0,1
0,1
0,2
0,2
0,3
Uh/Utratioatrecom.ICD
L=8202ft Uh/Ut ratio at
recom.ICD at different IDs
1 2 3
Ряд1 0,39819 0,59597 0,56844
0,0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
PIratioatrecom.ICD
L=8202ft PI ratio at
recom.ICD at different IDs
1 2 3
Ряд1 0,00096 0,01528 0,03031
0,00
0,01
0,01
0,02
0,02
0,03
0,03
0,04
Uh/Utratioatrecom.ICD
L=16400ft Uh/Ut ratio at
recom.ICD at different IDs
1 2 3
Ряд1 0,28132 0,45669 0,43919
0,0
0,1
0,2
0,3
0,4
0,5
PIratioatrecom.ICD
L=16400ft Uh/Ut ratio at
recom.ICD at different IDs
Good validation
General comparison of impact
• The highest influence on heel-toe
effect is from ID.
• Then from L.
• And less significant is friction
17
0,00
0,30
0,60
0,90
1,20
1,50
1,80
-100% -50% 0% 50% 100%
Spider Diagram Evaluating
sensitivity of various parameter on
Uh/Ut ratio
L D e/d
1,00 2,00 3,00
Ряд1 1,5345 4,4470 20,6757
0,0
5,0
10,0
15,0
20,0
25,0
zratio
e/D, L and ID affecting action
Z ratio = (Uh/Ut ratio)max/(Uh/Ut ratio)min
𝒊 𝒑 =
𝑪 𝒇 𝝆𝒇 𝒂 𝑩 𝟐
𝒋 𝟐
𝑳 𝟑
∆𝑷 𝒓𝒉
𝟐𝒂𝒋 𝟐 𝑷 𝒓𝒉 + 𝟏 𝑫 𝟓
L, ID and e/D influence on Uh/Ut ratio
18
0
2
4
6
8
10
12
14
0 5000 10000 15000 20000
Uh/UtwithandwithoutICD
L, ft
Heel-toe effect due to L
Uh/Ut no Icd
Uh/Ut with ICD
x-section of
lines says no
need any ICD
0
5
10
15
20
0 5 10 15
Uh/UtwithandwithoutICD
ID, inch
Heel-toe effect due to ID
Uh/Ut no Icd
Uh/Ut with ICD
x-section of
lines sign no
need any ICD
• The higher the ID the higher Uh/Ut ratio,
consequently less beneficial the ICD
installation
• The higher the L the lower Uh/Ut ratio,
consequently more beneficial the ICD
installation
• The relative change of Uh/Ut with or without
ICD due to friction is very small
0
1
2
3
4
5
0 0,0001 0,0002 0,0003 0,0004
Uh/UtwithandwithoutICD
e/D
Heel-toe effect due to friction
Uh/Ut no Icd
Uh/Ut with ICD
L and ID influence on Uh/Ut ratio
These plots could show when there is no requirement for ICDs
19
0,00
0,20
0,40
0,60
0,80
1,00
0 5000 10000 15000 20000
Uh/Utratio
L, ft
Sensitivity to Length
0,00
0,20
0,40
0,60
0,80
1,00
0 0,2 0,4 0,6 0,8 1
Uh/Utratio
ID, ft
Sensitivity to ID
• The rate without ICD is higher
as it is expected
• But good equalization is
achieved with ICD
20
0
10000
20000
30000
40000
50000
60000
70000
80000
2000 2100 2200 2300
FlowRate,stb/day
BHP at heel, psi
NO ICD
with ICD
Inflow Profile Without ICD
Well length from heel to toe (L=8202ft, ID=5.9 inch)
Inflow Profile with ICD
Well length from heel to toe (L=8202ft, ID=5.9 inch)
Base Case Inflow
Performance
Relationship
60
0
30
Inflowstb/day/ft
7
0
4
Inflowstb/day/ft
Economical considerations
• The Base Case in this report was considered as a representative for
economic evaluation
• Troll field development by ICDs showed a good performance in term
of technical and economical parameters
• Many other authors also showed that implementation of ICD
technology gave gain in production and development terms
• Thus the Base Case could also be considered as economically
viable.
23
Create a Base Case
Model
Provide screening
Need ICD?
Yes No
Conventional
completion
Choose ICD strength
(rule of thumb)
Using Uh/Ut vs PI ratios
validate chosen ICD
Run sensitivity varying
ICD strengths, L, D.
Choose the best option
Create well IPR –
select a regime
Apply numerical
simulator for reservoir
performance
Calculate economics
Apply completion
Achieve
consistency
with all data
Yes
No
Check assumptions
and uncertainties
Methodology
Conclusion
• 1. Various parameters and their affect on the design of passive
advanced well completion were analysed in term of Birchenko’s
analytical solution
• 2. The rule of thumb applied in Birchenko’s analytical solution was
explained and validated
• 3. A new approach to consider when designing completions with ICD
is proposed
• 4. Suggestions for future work are given
25
Suggestion for Future Work
• 1. Create Eclipse dynamic model for reservoir behaviour
understanding
• 2. Consider various reservoirs scenarios with different formation and
fluid properties:
- homogeneous
- heterogeneous
- highly viscous oils
- fractured reservoir
- for different well placement
• 3. Consider cases under rate constrained solution
• 4. Find Uh/Ut ratio vs ID or L general correlation
26
0
0,2
0,4
0,6
0,8
1
1,2
00,10,20,30,40,50,6
PIratio
Uh/Ut ratio
Thank you!
Any question, please
27
Analysis of Various Parameters Affecting
the Design of Passive Advanced
Well Completion

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Temirlan_Jatykov_IP_Presentation

  • 1. Analysis of Various ParametersAffecting the Design of PassiveAdvanced Well Completion MSc. Petroleum Engineering Project Report 2013/2014 Temirlan Jatykov Heriot-Watt University Institute of Petroleum Engineering Supervisors: David Davies, Khafiz Muradov, Bona Prakasa
  • 2. Outline • Introduction • Purpose • Workflow, Results and Discussions • Conclusion • Suggestion for Future Work 2
  • 3. Introduction • Heel-toe effect causes early water or gas breakthrough • No (or reduced) heel- toe effect using passive advanced well completion – causes equalized flow distribution 3
  • 4. • Analyse various parameters and understand their impact on passive advanced well behaviour • Explain and validate Birchenko's Analytical Estimation of ICD strength, i.e. explain his rule of thumb • Propose additional methodology (workflow) of how to design advanced well completion using ICDs in terms of optimum well and field performance 4 Purpose
  • 5. Inflow Control Devices • Nozzle type • Orifice type • Channel type - helical - labyrinth type • Slotted • Tube type 5 ICDs ICD is a device to make flow to well evenly distributed along the wellpath (Faisal Al-Khelaiwi. 2013) Used with: • Debris filter • Sand screen
  • 6. Study of ICD Performance Can be analysed with: • Well modelling software • Reservoir simulation software But there are also relatively simple analytical models: • Depending on what assumptions and what aims they are needed to for (Birchenko et al, 2010): Quick feasibility studies (screening ICD installation candidates) Verification of numerical simulation results Communicating best practices in a non-product specific manner 6
  • 7. Birchenko’s analytical method to reduce heel-toe effect • General solution: • 𝑼 𝒍 = −𝟏+ 𝟏+𝟒𝒂∆𝑷 𝒍 𝒋 𝟐(𝒍) 𝟐𝒂𝒋(𝒍) • 𝒒 𝒘 = −𝟏+ 𝟏+𝟒𝒂∆𝑷 𝒍 𝒋 𝟐(𝒍) 𝟐𝒂𝒋(𝒍) 𝑳 𝟎 𝒅𝒍 • ∆𝑷 𝒍 = 𝒂𝑼 𝟐 𝒍 + 𝑼 𝒍 𝒋 𝒍 • 𝑗 = 𝐽 𝐿 specific productivity index • 𝑑𝑞 𝑑𝑙 = 𝑗(𝑙)(𝑃𝑒 − 𝑃𝑎 𝑙 ) • 𝑈 𝑙 = 𝑑𝑞 𝑑𝑙 specific flow rate • ∆𝑃 = ∆𝑃𝑟 + ∆𝑃𝐼𝐶𝐷 - total pressure drop 7 Heel Toe
  • 8. Birchenko’s analytical method to reduce heel-toe effect Homogeneous reservoir case: • Two solutions: Rate constrained well Pressure constrained well • 𝑞 𝑤 ≈ 𝑗∆𝑃𝑟ℎ 1.5/(1.5 + 𝑖 𝑝) 3 • 𝑈(𝑙) ≈ 𝑗∆𝑃𝑟ℎ 1 − 𝐺 𝑝 𝑙 𝐿 3 + 𝐺 𝑝 • 𝒊 𝒑 = 𝑪 𝒇 𝝆𝒇 𝒂 𝑩 𝟐 𝒋 𝟐 𝑳 𝟑∆𝑷 𝒓𝒉 𝟐𝒂𝒋 𝟐 𝑷 𝒓𝒉+𝟏 𝑫 𝟓 • 𝐺 𝑝 ≈ 1 − 𝑖 𝑝 (1.5+𝑖 𝑝) 8 ∆𝑃𝐼𝐶𝐷 ≈ 𝑛∆𝑃𝑟ℎ 𝑎 ≈ 𝑛𝐿2 ∆𝑃𝑟ℎ 𝐽2 𝑎𝐼𝐶𝐷 ≈ ( 𝜌𝜇 𝑐𝑎𝑙 𝜌 𝑐𝑎𝑙 𝜇 ) 1 4 𝜌 𝑐𝑎𝑙 𝑛𝐿2 𝜌𝑙𝐼𝐶𝐷 2 𝐵2∆𝑃𝑟ℎ 𝐽2 𝑑 ≈ 𝐶 𝑢 𝜌𝑙𝐼𝐶𝐷 2 𝐵2 ∆𝑃𝑟ℎ 𝐽2 𝐶 𝑑 2 𝑛𝐿2 Rule of Thumb  𝑛 ≈ 𝑈ℎ 𝑈𝑡 𝑛𝑜𝐼𝐶𝐷 − 1 ICD strength parameter
  • 9. Workflow, Results and Discussions 9
  • 10. Creation of a Base Case • All data was matched to get the curves Birchenko got • Data used are obtained from Troll field case studies • This is done to get reasonable numbers to create a grid of synthetic reservoir 10 Length (L) = 8202.1 ft Internal Diameter (ID) = 0.49 ft Pressure drop at heel (∆Prh)= 17.4 psi Productivity index (PI) = 2168 bbl/psi/day ICD strength = 2.7613 𝑝𝑠𝑖∙𝑓𝑡2 (𝑏𝑏𝑙/𝑑𝑎𝑦)2 0 1 2 3 4 5 6 0 2000 4000 6000 8000 10000 U(l),stb/day/ft MD from heel, ft with ICD No ICD
  • 11. Creation of reservoir grid in Eclipse L = 8202 ft W = 1400 ft h = 111 ft k = 1837 mD φ = 20% Relative permeabilities Capillary pressure 4000 cells Homogeneous etc 11 Exaggeration 1:50 in Z direction So
  • 12. Input data to NETool • The Base Case model was created in NETool, i.e. reservoir and well were created. • Now variable analysis could be done. • This is only static model – i.e. doesn’t change with time. • ICD strength = 2.7613 𝑝𝑠𝑖∙𝑓𝑡2 (𝑏𝑏𝑙/𝑑𝑎𝑦)2 12 0 1 2 3 4 5 0 5000 10000 U,stb/day/ft MD from heel, ft U(l) U(l) Birchenko U(l) from NETool Reasonable match is achieved d = 0.1588 inch – Nozzle diameter
  • 13. Results for different nozzle sizes for Base Case The concept of • 𝑈ℎ 𝑈𝑡 𝑟𝑎𝑡𝑖𝑜 = 𝑈ℎ 𝑈 𝑡 𝑤𝑖𝑡ℎ 𝐼𝐶𝐷 𝑈ℎ 𝑈 𝑡 𝑛𝑜 𝐼𝐶𝐷 vs • 𝑃𝐼𝑟𝑎𝑡𝑖𝑜 = 𝑃𝐼 𝑤𝑖𝑡ℎ 𝐼𝐶𝐷 𝑃𝐼 𝑛𝑜 𝐼𝐶𝐷 is proposed here to show and explain the validity of Birchenko proposed rule of thumb 13 0 0,2 0,4 0,6 0,8 1 1,2 00,20,40,6 PIratio Uh/Ut ratio BHP constant This is the point which is proposed by analytical model of Birchenko based on his rule of thumb ICD strength increases
  • 14. Results for different nozzle sizes for Base Case 14 0 0,2 0,4 0,6 0,8 1 1,2 00,20,40,6 Uh/UtratioandPIratio Nozzle diameter d, inch BHP constant Uh/Ut ratio PI ratio 0 0,2 0,4 0,6 0,8 1 1,2 00,20,40,6 PIratio Uh/Ut ratio BHP constant These are the points which are proposed by analytical model of Birchenko, based on his rule of thumb 0 0,2 0,4 0,6 0,8 1 1,2 0 50 100 150 Uh/UtratioandPIratio delta Picd, psi BHP constant Uh/Ut ratio PI ratio
  • 15. Length affecting the well’s Uh/Ut ratio at analytically recommended ICDs • The higher the length the lesser the Uh/Ut ratio which is achievable. • The more beneficial ICD installation • But there is always trade-off between equalization and PI 15 1 2 3 4 Ряд1 0,96986 0,38464 0,12440 0,01528 0,00 0,20 0,40 0,60 0,80 1,00 1,20 Uh/Utratioatrecom.ICD Uh/Ut ratio at recom.ICD (thresholds) 1640ft 4921ft 8202ft 16400ft 1 2 3 4 Ряд1 0,87287 0,70473 0,59597 0,45669 0,00 0,10 0,20 0,30 0,40 0,50 0,60 0,70 0,80 0,90 1,00 PIratioatrecon.ICD PI ratio at recom.ICD at differ. L 1640ft 4921ft 8202ft 16400ft PI reduction is not so high as Uh/Ut ratio reduction
  • 16. ID affecting the well’s Uh/Ut ratio at analytically recommended ICDs 16 1 2 3 Ряд1 0,04905 0,38464 0,53783 0,0 0,1 0,2 0,3 0,4 0,5 0,6 Uh/Utratioatrecom.ICD L=4921ft Uh/Ut ratio at recom.ICD at different IDs 1 2 3 Ряд1 0,53902 0,70473 0,70007 0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 PIratioatrecom.ICD L=4921ft PI ratio at recom.ICD at different IDs 1 2 3 Ряд1 0,01105 0,12440 0,22040 0,0 0,1 0,1 0,2 0,2 0,3 Uh/Utratioatrecom.ICD L=8202ft Uh/Ut ratio at recom.ICD at different IDs 1 2 3 Ряд1 0,39819 0,59597 0,56844 0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 PIratioatrecom.ICD L=8202ft PI ratio at recom.ICD at different IDs 1 2 3 Ряд1 0,00096 0,01528 0,03031 0,00 0,01 0,01 0,02 0,02 0,03 0,03 0,04 Uh/Utratioatrecom.ICD L=16400ft Uh/Ut ratio at recom.ICD at different IDs 1 2 3 Ряд1 0,28132 0,45669 0,43919 0,0 0,1 0,2 0,3 0,4 0,5 PIratioatrecom.ICD L=16400ft Uh/Ut ratio at recom.ICD at different IDs Good validation
  • 17. General comparison of impact • The highest influence on heel-toe effect is from ID. • Then from L. • And less significant is friction 17 0,00 0,30 0,60 0,90 1,20 1,50 1,80 -100% -50% 0% 50% 100% Spider Diagram Evaluating sensitivity of various parameter on Uh/Ut ratio L D e/d 1,00 2,00 3,00 Ряд1 1,5345 4,4470 20,6757 0,0 5,0 10,0 15,0 20,0 25,0 zratio e/D, L and ID affecting action Z ratio = (Uh/Ut ratio)max/(Uh/Ut ratio)min 𝒊 𝒑 = 𝑪 𝒇 𝝆𝒇 𝒂 𝑩 𝟐 𝒋 𝟐 𝑳 𝟑 ∆𝑷 𝒓𝒉 𝟐𝒂𝒋 𝟐 𝑷 𝒓𝒉 + 𝟏 𝑫 𝟓
  • 18. L, ID and e/D influence on Uh/Ut ratio 18 0 2 4 6 8 10 12 14 0 5000 10000 15000 20000 Uh/UtwithandwithoutICD L, ft Heel-toe effect due to L Uh/Ut no Icd Uh/Ut with ICD x-section of lines says no need any ICD 0 5 10 15 20 0 5 10 15 Uh/UtwithandwithoutICD ID, inch Heel-toe effect due to ID Uh/Ut no Icd Uh/Ut with ICD x-section of lines sign no need any ICD • The higher the ID the higher Uh/Ut ratio, consequently less beneficial the ICD installation • The higher the L the lower Uh/Ut ratio, consequently more beneficial the ICD installation • The relative change of Uh/Ut with or without ICD due to friction is very small 0 1 2 3 4 5 0 0,0001 0,0002 0,0003 0,0004 Uh/UtwithandwithoutICD e/D Heel-toe effect due to friction Uh/Ut no Icd Uh/Ut with ICD
  • 19. L and ID influence on Uh/Ut ratio These plots could show when there is no requirement for ICDs 19 0,00 0,20 0,40 0,60 0,80 1,00 0 5000 10000 15000 20000 Uh/Utratio L, ft Sensitivity to Length 0,00 0,20 0,40 0,60 0,80 1,00 0 0,2 0,4 0,6 0,8 1 Uh/Utratio ID, ft Sensitivity to ID
  • 20. • The rate without ICD is higher as it is expected • But good equalization is achieved with ICD 20 0 10000 20000 30000 40000 50000 60000 70000 80000 2000 2100 2200 2300 FlowRate,stb/day BHP at heel, psi NO ICD with ICD Inflow Profile Without ICD Well length from heel to toe (L=8202ft, ID=5.9 inch) Inflow Profile with ICD Well length from heel to toe (L=8202ft, ID=5.9 inch) Base Case Inflow Performance Relationship 60 0 30 Inflowstb/day/ft 7 0 4 Inflowstb/day/ft
  • 21. Economical considerations • The Base Case in this report was considered as a representative for economic evaluation • Troll field development by ICDs showed a good performance in term of technical and economical parameters • Many other authors also showed that implementation of ICD technology gave gain in production and development terms • Thus the Base Case could also be considered as economically viable. 23
  • 22. Create a Base Case Model Provide screening Need ICD? Yes No Conventional completion Choose ICD strength (rule of thumb) Using Uh/Ut vs PI ratios validate chosen ICD Run sensitivity varying ICD strengths, L, D. Choose the best option Create well IPR – select a regime Apply numerical simulator for reservoir performance Calculate economics Apply completion Achieve consistency with all data Yes No Check assumptions and uncertainties Methodology
  • 23. Conclusion • 1. Various parameters and their affect on the design of passive advanced well completion were analysed in term of Birchenko’s analytical solution • 2. The rule of thumb applied in Birchenko’s analytical solution was explained and validated • 3. A new approach to consider when designing completions with ICD is proposed • 4. Suggestions for future work are given 25
  • 24. Suggestion for Future Work • 1. Create Eclipse dynamic model for reservoir behaviour understanding • 2. Consider various reservoirs scenarios with different formation and fluid properties: - homogeneous - heterogeneous - highly viscous oils - fractured reservoir - for different well placement • 3. Consider cases under rate constrained solution • 4. Find Uh/Ut ratio vs ID or L general correlation 26 0 0,2 0,4 0,6 0,8 1 1,2 00,10,20,30,40,50,6 PIratio Uh/Ut ratio
  • 25. Thank you! Any question, please 27 Analysis of Various Parameters Affecting the Design of Passive Advanced Well Completion