integrated reservoir study for designing co2-foam eor ...nov 13, 2017 · composition based on pvt...
TRANSCRIPT
Universitetet i Stavanger
uis.no
Integrated Reservoir Study for Designing
CO2-Foam EOR Field Pilot
M. Sharma*, Z. P. Alcorn#, S. Fredriksen#
M. Fernø# and A. Graue#
* The National IOR Centre of Norway, University of Stavanger # Department of Physics and Technology, University of Bergen
Outline
Pilot Program
Field Overview
Laboratory Studies
Reservoir Modelling & Simulation
Conclusion
2
Pilot Program
Foam for Mobility Control
3
Cost-effective roadmap for mobility control CO2 EOR implementation on Norwegian
Continental Shelf through onshore field trials in Texas, USA
OBJECTIVE
Gravity segregation
Reservoir heterogeneity
Viscous instability
Multi-scale Approach
4
Outline
Pilot Program
Field Overview
Laboratory Studies
Reservoir Modelling & Simulation
Conclusion
5
Field Overview Mature carbonate reservoir
Remaining oil saturation: 30 – 40%
6
Water
Injection
Infill
Drilling CO2
Injection
CO2
breakthrough
Primary Secondary Tertiary
Pilot Site
Focus on well pair I1 – P5 Part of 40-acre pattern
Short interwell distance
Representative geology
CO2 breaks through within a year
7
Outline
Pilot Program
Field Overview
Laboratory Studies
Reservoir Modelling & Simulation
Conclusion
8
Laboratory Studies
Steady-state foam rheology
9
L
𝐹𝑜𝑎𝑚 𝑞𝑢𝑎𝑙𝑖𝑡𝑦, 𝑓𝑔 =𝑉𝑔𝑎𝑠
𝑉𝑔𝑎𝑠 + 𝑉𝑙𝑖𝑞𝑢𝑖𝑑
Gas
Liquid dP
Ref: Alvarez, J. M., Rivas, H. J., and Rossen, W. R. Unified Model for Steady-State Foam Behavior at High and Low
Foam Qualities. SPE Journal, 6:325–333, 2001.
Liquid velocity
Gas
velo
cit
y
Pressure gradient (psi/ft) High quality (nearly) Newtonian
Low quality Shear thinning
Laboratory Studies
Foam quality scan
10
Fixed Total velocity,
Varying Foam quality
Liquid velocity
Gas
velo
cit
y
High quality
Low quality
Pressure gradient (psi/ft)
Foam Model
Empirical model
11
𝑘𝑟𝑔𝑓
= 𝑘𝑟𝑔𝑛𝑓
× 𝑭𝑴
𝑭𝑴 =1
1 + 𝑓𝑚𝑚𝑚𝑜𝑏 × 0.5 +𝑎𝑟𝑐𝑡𝑎𝑛 𝑒𝑝𝑑𝑟𝑦(𝑆𝑤 − 𝑓𝑚𝑑𝑟𝑦
𝜋
Gas permeability in
presence of foam
Mobility Reduction Factor
Gas permeability in
absence of foam
Foam Model
Parameters for pilot-scale simulation
12
fmmob : 180
fmdry : 0.4
epdry : 10000
Outline
Pilot Program
Field Overview
Laboratory Studies
Reservoir Modelling & Simulation
Conclusion
13
Reservoir Characterization
Available data Petrophysical well logs
RCA (porosity, permeability, Sw)
Core photo (for 1 well in pilot area)
Cyclical sequence of carbonate rocks Consists dolostones, packstones and grainstones
Geologic framework based on flow zones
and cyclicity
14
I1 P5
15
0 f
t
Geologic Model
Spatial distribution of petrophysical properties using stochastic
simulation
15
85,000 active cells 50 ft x 50 ft areally
Permeability
PVT Model
PR EoS (8 components) tuned for available PVT data
16
Dif
fere
nti
al
Lib
era
tion
Expansi
on*
Sw
ellin
g T
est
*
*Circle represents Measured data, Line represents EoS calculation
Vis
cosi
ty *
Simulation Model
17
Relative Permeability
PVT Model
Geomodel
Foam Model
Well Inflow
Local Grid Refinement
Historical Water Injection
I1 (P6) P5
P1
P3 P4
WI1 WI2
WI3
WI4 WI5 WI6
𝑞𝑊𝐼1ℎ𝑖𝑠𝑡
4
BO Model (Includes peripheral injectors)
Focus on updating volumes, and interwell permeability
𝑞𝑊𝐼2ℎ𝑖𝑠𝑡
2
𝑞𝑊𝐼3ℎ𝑖𝑠𝑡
2
𝑞𝑊𝐼4ℎ𝑖𝑠𝑡
4
𝑞𝑊𝐼5ℎ𝑖𝑠𝑡
2
𝑞𝑊𝐼6ℎ𝑖𝑠𝑡
4
Waterflood Match: Cum Oil Produced
19
Base
Observed
HM
CO2 Injection Simulation
20
4 years of CO2 injection Gas b/t in all pilot producers
Compositional model Composition based on PVT report
Initialization from HMed waterflood Pressure and Saturation (O/W)
History matching in progress…
I1 P5
P1
P3 P4
GI1 WI1
GI2
WI2 GI3 WI3
𝑞𝐺𝐼1ℎ𝑖𝑠𝑡
4
𝑞𝑊𝐼1ℎ𝑖𝑠𝑡
2
𝑞𝐺𝐼2ℎ𝑖𝑠𝑡
2
𝑞𝑊𝐼2ℎ𝑖𝑠𝑡
4
𝑞𝐺𝐼3ℎ𝑖𝑠𝑡
2
𝑞𝑊𝐼3ℎ𝑖𝑠𝑡
4
Outline
Pilot Program
Field Overview
Laboratory Studies
Reservoir Modelling & Simulation
Conclusion
21
Summary
22
Foam behaviour at core scale captured using fit-for-purpose
lab studies and models
An integrated approach for reservoir modelling and
simulation allows to incorporate all available data
Looking ahead
Calibrate model for CO2 injection period
Baseline survey
Optimal injection strategy
Acknowledgements
We acknowledge the Research Council of Norway CLIMIT program for financial support under
grant number 249742 - CO2 Storage from Lab to On-Shore Field Pilots Using CO2-Foam for
Mobility Control in CCUS and the industry partners; Shell E&P, TOTAL E&P and Statoil
Petroleum AS.
We acknowledge the Research Council of Norway and the industry partners; ConocoPhillips
Skandinavia AS, Aker BP ASA, Eni Norge AS, Maersk Oil Norway AS, DONG Energy A/S,
Denmark, Statoil Petroleum AS, ENGIE E&P NORGE AS, Lundin Norway AS, Halliburton AS,
Schlumberger Norge AS, Wintershall Norge AS of The National IOR Centre of Norway for
support.
We also acknowledge the Norwegian Metacentre for High Performance Computing (NOTUR)
for support to perform this work on the Abel Cluster, University of Oslo.
23
Universitetet i Stavanger
uis.no
Integrated Reservoir Study for Designing
CO2-Foam EOR Field Pilot
M. Sharma*, Z. P. Alcorn#, S. Fredriksen#
M. Fernø# and A. Graue#
* The National IOR Centre of Norway, University of Stavanger # Department of Physics and Technology, University of Bergen
25
Waterflood Match: Water-cut
26
Base
Observed
HM
Waterflood Match: Permeability change
27
Layer - 4 Layer - 7 Layer - 8
Base PermX
PermX Change
Waterflood Match: Permeability change
28
Layer - 10 Layer - 16 Layer - 19
Base PermX
PermX Change
Reservoir Pressure on higher side !
29
Reservoir Setup
30
2 zones because of structural tilting /
seal breach event:
MPZ (Main Pay Zone)
Primary & Secondary recovery
ROZ (Residual Oil Zone)
Large amount of immobile oil (20-40%)
Original oil accumulation
Effects of structural tilting / seal breach
Zones differ in fluid composition
Well Connectivity
2-3 MMscf/d
4 months *