smartflood 2.0 demonstration · optimal water flood management under geological uncertainty using...

Model Calibration and Efficient Reservoir Imaging: MCERI

SmartFlood 2.0

Demonstration

Peerapong Ekkawong

November 2nd , 2012

MCERI

Contents

• Introduction

• Workflow

• Result: maximize flood efficiency

• Result: production acceleration

• Other applications

• Creating workspace

2

MCERI

Contents

• Introduction

• Workflow





3

MCERI

What is SmartFlood?

• Smartflood can optimize production/injection rates by

equalizing the arrival time of the waterfront at all

producers within selected sub-regions of a waterflood

project under operational and facility related constraints.

• Software designed based on streamline-based approach

proposed by Ahmed Alhuthali (SPE 102478) to maximize

waterflood sweep efficiency.

• Major advantage of this approach is the analytical

computation of sensitivities of the front arrival times and

gradient and Hessian of the objective function

4

MCERI

SmartFlood 2.0

Software requirement

• MCRinstaller• EXCEL input sheet• ECLIPSE – modified data deck

Excel Input

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MCERI

Contents

• Introduction

• Workflow





6

MCERI

SmartFlood Workflow

7

Read EXCEL INPUT file

Run Simulator

Run DESTINY for streamline tracing

Calculate sensitivities

Update production/injection rate

Output optimized

rate files

𝛿𝜏𝑖𝛿𝑞𝑖

qi = qi + Δ𝑞

MCERI

2Nprod

1i

i

2Nprod

1i

id )(t)(t-)(t)(p

qqqq

Maximize flood efficiency Acceleration

Objective Function Formulation

8

Min

To minimize this term, arrival time should be reduced which comes from produce with higher rate

To minimize this term, variation of arrival time should be reduced which comes from rate allocation

P1

P2

P4

P3Streamlines TOF Average TOF from

injector to each producer, 𝑡𝑖,𝑚

𝑡1

𝑡2 𝑡3

𝑡4I

Arrival time of producer i

Average arrival time

Norm weight

MCERI

Contents

• Introduction

• Workflow





9

MCERI

Synthetic 2D Case

Constraints:• Field water injection 400 RB/D• Well production rate ≤ 300 RB/D for each well• Production BHP ≥ 1000 psi• Voidage balance

Want to optimize rate from 4 producers

Compare with base case of 100 RB/D each well

2D example case- 50x50 grid- Spatial Permeability

Permeability

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MCERI

Result from Base Case (without rate optimization)

Water Saturation

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Permeability

P1

Well P2 and P4 have high permeability streak -> water breakthrough very fast

Smartflood will search for rates that equalize water breakthrough from all producers

P2 P3

P4

MCERI

Results after optimizationNorm Wt. - 0

Aft

er

2 y

ears

Aft

er

5 y

ears

Aft

er

10 y

ears

Base

More uniform waterfront movement after optimization 12

PermeabilitySmartflood

Sw

MCERI

Watercut Comparison

Base case Maximum sweep efficiency

More uniform water breakthrough after optimization13

P1P2 P4 P3

Time, days Time, days

WW

CT

WW

CT

P1 P2P3P4

MCERI

Cumulative Production ComparisonFO

PT (

Np)

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More oil production and less water production

FW

PT (

Wp)

Time, days Time, days

Cumulative oil production Cumulative water production

Base case

Smartflood

Smartflood

Base case

MCERI

Contents

• Introduction

• Workflow





15

MCERI

Illustration: Synthetic FieldPerm

Total production time period = 5000 days. Time step for optimization = 1000 days

Specification for NPV:

Discount rate = 10%, oil price = 50$/bbl, water cost = 5$/bbl

Total field rate

MCERI

Water Saturation Maps

NPV Opt Norm Term = 0 Norm Term = 4 Norm Term = 100

After

1000

days

After

3000

days

After

5000

days

27 Sep 2002 K=1

FRONTSIM.rsgrid 10 Oct 2009

P1

P2

P3I1

X

Y

-100 0 100 200 300 400 500 600

0

100

200

300

400

500

0.00 0.25 0.50 0.75 1.00

SWAT

19 Mar 2008 K=1


P1

P2

P3I1

X

Y

-100 0 100 200 300 400 500 600

0

100

200

300

400

500

0.00 0.25 0.50 0.75 1.00

SWAT

9 Sep 2013 K=1


P1

P2

P3I1

XY

-100 0 100 200 300 400 500 600

0

100

200

300

400

500

0.00 0.25 0.50 0.75 1.00

SWAT

27 Sep 2002 K=1


P1

P2

P3I1

X

Y

-100 0 100 200 300 400 500 600

0

100

200

300

400

500

0.00 0.25 0.50 0.75 1.00SWAT

19 Mar 2008 K=1


P1

P2

P3I1

X

Y

-100 0 100 200 300 400 500 600

0

100

200

300

400

500

0.00 0.25 0.50 0.75 1.00SWAT

9 Sep 2013 K=1


P1

P2

P3I1

X

Y

-100 0 100 200 300 400 500 600

0

100

200

300

400

500

0.00 0.25 0.50 0.75 1.00SWAT

MCERI

Result of norm weight

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Cumulative Oil Production

0.00E+00

2.00E+05

4.00E+05

6.00E+05

8.00E+05

1.00E+06

1.20E+06

1.40E+06

1.60E+06

1.80E+06

2.00E+06

1st Time Step

3rd Time Step

5th Time Step

Time Steps

Cu

mu

lati

ve W

ate

r P

rod

ucti

on

in

RB

/Day

NPV Optimization

Norm Term = 0

Norm Term =4

Norm Term = 10

Norm Term = 100

Cumulative Water Injection

0.00E+00

5.00E+05

1.00E+06

1.50E+06

2.00E+06

2.50E+06

3.00E+06

3.50E+06

1st Time Step

3rd Time Step

5th Time Step

Time Steps

Cu

mu

lati

ve W

ate

r P

rod

ucti

on

in

RB

/Day

NPV Optimization

Norm Term = 0

Norm Term =4

Norm Term = 10

Norm Term = 100

More oil production can be produced by higher norm weight. The effect of increasing norm weight is similar to NPV optimization.

MCERI

Contents

• Introduction

• Workflow





19

MCERI

Applications

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Applications SPE#

Optimal Waterflood Management Using Rate Control

(Maximize sweep efficiency)

102478

Optimal Water Flood Management Under Geological

Uncertainty Using Accelerated Production Strategy

(Production acceleration by norm weight)

133882

Optimal Rate Control Under Geologic Uncertainty

(Multiple realization)

113628

Field Applications of Waterflood Optimization via Optimal Rate

Control With Smart Wells

(ICV)

118948

Optimizing Polymerflood via Rate Control

(EOR)

144833

MCERI

Contents

• Introduction

• Workflow





21

Model Calibration and Efficient Reservoir Imaging: MCERI

Thank you!

SmartFlood 2.0

Demonstration

Peerapong Ekkawong

Texas A&M University

smartflood 2.0 demonstration · optimal water flood management under geological uncertainty using...

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