08_17-10-2011_13-55_presentation.pdf

8/12/2019 08_17-10-2011_13-55_Presentation.pdf

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Streamlines in IOR/EOR


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Outline /

/ 2/ /

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IOR/EOR CONCEPTS

/

3


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IOR/EOR Concepts

/

///

NEEN VDp =

Displacement Efficiency

Volumetric Sweep Efficiency

4


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IOR

, , ,

,

NEEN VDp =

30 60 80 present

2D, steady state, homogenous2D, SS, heterogenous 3D, heterogenous, compressible,gravity,

5


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EOR

:

///

In all cases we have a good handle on 1Dsolutions. Not so for 3D.

NEEN VDp =

6


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STREAMLINE SIMULATION

/

7


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Modern SLS: Dual Grids

1. Eulerian static grid

2. Lagrangian streamline grid

8


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Modern SLS: Dual Grids

Eulerian static grid Lagrangian streamline grid

diffusive properties:

pressure, temperature

directional properties:

saturations, compositions9


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Modern SLS (, ,

, , ). .

. . .

.

10


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Pn

Sn

Move Saturations

tt+tSn to Sn+1

Initial Conditions

Trace Streamlines

Sn+1

Pn+1

New Initial Conditions

Update Pressure

Geo

Sn,Pn+1

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EOR w/ SLs :

/

+

1

.

12


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Miscible Flooding Using SLs , :

2 (

79690)

( 77379)

, ( 89363)

( 96940)

(. . 2009)

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Basic Ideas

1963, 1972, 1998,

. 1999

1 , / .

14


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Example 1

21, 22, 3, , , 13, 12, 2+

2200/ 2000 / .

1 =10 =0.8

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Example: Alpine Field

1001605; . 110 .

+ .

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Example: Alpine Field

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Alpine Field Production

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Alpine Well Production

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Polymer Flooding (IOR)

4 : , , ,

& ,

3DSL

ECL

1D Oil & Water Production 1D Pressure

water

oil

20


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Ex: Polymer (Case 1)Water

Oil

Pressure

3DSL

ECL

21


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Ex: Polymer (Case 2)P1 P5

P10

P17P13

3DSLECL

22


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SP / ASP Model

/ ( )

121010 (,

, , , , , , , , )

Modify 1D transport solutions to generate 3D SP/ASP solutions.

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Ex: Thermal Flooding

: +

Pressure Mass & energy transportalong SL

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Ex: Heterogeneous Q5 Spot

From: Z. Zhu / Efficient Simulation of Thermal Enhanced Oil Recovery Processes, PhD, Stanford 2011

STARS (50X50) STARS (200X200)Streamline (50X50)

Saturation Field

STARS (50X50) STARS (200X200)Streamline(50X50)

Temperature Field

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Hybrid SL/FV

Settings:

BHPinj=6000kPaPinit=4500kPa

K=500mD(homogeneous)

fsteam=0.8

tSL SLFV

Soak ProduceInject

Injector

100m

100m

From: Z. Zhu / Efficient Simulation of Thermal Enhanced Oil Recovery Processes, PhD, Stanford 201126


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Cyclic Steam Injection

50X50 STARSMPFA

(Shiralkar 1991)

50X50 SL

(Injection)

Temperature(Soak) (Produce)

SL FV SLFrom: Z. Zhu / Efficient Simulation of Thermal Enhanced Oil Recovery Processes, PhD, Stanford 2011

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SLs in EOR/IOR

,

Increasing detail28


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SLs in EOR/IOR

NEEN VDp =

Per Pattern (Inj + associated prods)

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Per Pattern Oil Recovery

PatternOilProdu

ctionVolum

e

Pattern Injection Volume/Mass/Heat/.

Conformance Plot All Patterns

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Per Injector Conformance Plot

P

atternOilProductionVo

lume

Pattern Injection Volume/Mass/Heat/.

Conformance Plot for Injector P9-7

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Improve IOR/EOR Floods

: 132774

April 2011 SPE Reservoir Evaluation & Engineering 32


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OMV Romanian Waterflood

from SPE 132774

40 years waterflood, 100+ wells %

history

due to

polymer

Field Oil Rate - Simulated

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Flow Pattern and Flux Map

Best use of polymer?best patterns, max concentration, slug size.

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Utility/Efficiency Factors

:

[bbl]producedoilultimatecumulative[kg]injectedpolymermasscumulative=EF

[bbl]producedoillincrementacumulative[kg]injectedpolymermasscumulative=UF

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EF-1

1

2

3

4

5

Cumulative polymer injected in kg

Cumu

mulativeO

ilP

roductio

n

from SPE 132774

Pattern Performance Plot

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1

2

3

4

5

Cumulative polymer injected in kg

Cumu

lativeoilpr

oductioninbbl

6

Cumulative polymer injected

Cumulative incremental oil produced

Per Pattern Utility Factor

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Workflow Using Patterns

1) Improve waterflood

2) Disregard patterns with low EF forbase slug size/concentration

3) Pattern sensitivity to concentration/slug size

4) Pick individual pattern operating conditions

based on UF

5) Full field using optimal individual strategies

0

50000

100000

150000

200000

250000

300000

350000

0 500000 1000000 1500000 2000000

Cumulativepolymer injected- (kg)

Cumulativeoilproduced-(rm)

12years

9 years

6 years

3 years

Different slug sizes at a fixedconcentration

0

50000

100000

150000

200000

250000

300000

0 200000 400000 600000 800000 1000000

Cumulative polymerinjected - (kg)

Cumulativeoilproduced-(rm)

c. 500kg/ms. 6y

c. 750kg/ms. 6y

c. 1000kg/ms. 6y

c. 1250kg/ms. 6y

c. 1500kg/ms. 6y

Different concentrations at a fixed slugsize

0

0.5

1

1.5

2

2.5

3

3.5

4

0 100000 200000300000 400000500000 600000700000 800000

Incremental oil (bbl)

Utili

tyFactor(kg/bbl)

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Pattern Performances

Increme

ntalCumulative

OilProduced(m)

Cumulative Polymer Injected (kg)

Bad

Good

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Sensitivity of Individual Patterns

0

50000

100000

150000

200000

250000

300000

350000

0 500000 1000000 1500000 2000000

Cumulative polymer injected - (kg)

Cumulative

oilproduced-(rm)

12 years9 years

6 years

3 years

Different slug sizes at a fixed concentration

0

50000

100000

150000

200000

250000

300000

0 200000 400000 600000 800000 1000000

Cumulative polymer injected - (kg)

Cumulativeoil

produced-(rm)

c. 500kg/m s. 6yc. 750kg/m s. 6y

c. 1000kg/m s. 6y

c. 1250kg/m s. 6y

c. 1500kg/m s. 6y

Different concentrations at fixed slug size

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Pattern Utility Factor Plot

0

0.5

1

1.5

2

2.5

3

3.5

4

0 100000 200000 300000 400000 500000 600000 700000 800000

Incremental oil (bbl)

UtilityFact

or(kg/bbl)

Sensitivity Runs

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Polymer Simulation Results

Cumulative oil production

Cumulative polymer

injected decreased

cumulative oil recovery increased

Cumulative polymer injection

from SPE 132774

Base water flood

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Conclusions & Wrap-up

( )

. .

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Follow-Up Reading

( 2011) ( )

, 2011, ( 132774)

08 ( 95402)

, 06 ( 84040)

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08_17-10-2011_13-55_presentation.pdf

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