100% matrix 100% fracture 100% matrix 100% fracture matrix dominated fracture dominated % of total...

17
100% Matrix 100% Fracture 100% Matrix 100% Fracture Matrix Dominated Fracture Dominated % of Total Porosity % of Total Permeability IV III II I After Nelson (2001) Fractured Reservoir Fractured Reservoir Simulation Simulation Milind Deo and Craig Forster University of Utah

Upload: rudolph-casey

Post on 31-Dec-2015

236 views

Category:

Documents


0 download

TRANSCRIPT

100% Matrix

100% Fracture

100% Matrix

100% Fracture

MatrixDominated

FractureDominated

% of Total Porosity

% o

f T

ota

l P

erm

eab

ilit

y

IV

III

II I

After Nelson (2001)

Fractured Reservoir SimulationFractured Reservoir SimulationMilind Deo and Craig Forster

University of Utah

Account for Irregular GeometriesAccount for Irregular GeometriesHypothetical

‘Real System’Regularized Equivalent

ECLIPSE Equivalent

Common Model Properties• Impermeable matrix with = 0 (Type I, basement reservoir system)• Domain = 1,000 ft by 1,000 ft by 200 feet deep• Total feature length = 30,000 feet• Reference Case: Feature k = 1,000 md, = 14 %, width = 0.5 feet• OOIP = 53,580 STB• Injection Pressure = 4,300 psi• Injection Well Production Well

020

40

60

80

100

120

0 300 600 900Time (days)

Oil

Pro

du

ctio

n (

ST

B/d

ay)

PrimaryProduction

Hypothetical ‘Real System’ CVFE

Regularized Equivalent CVFE

ECLIPSE Equivalent

Model Comparison at 900 daysModel Comparison at 900 days

‘Real System’ CVFE

ECLIPSERegularized Equiv. CVFE

0.50

0.35

0.20

0.80

0.65

So

020

40

60

80

100

120

0 300 600 900Time (days)

Oil

Pro

du

ctio

n (

ST

B/d

ay)

PrimaryProduction

Parameter SensitivityParameter Sensitivity (900 days) (900 days)

1000 md Base Case

0.50

0.35

0.20

0.80

0.65

SoGM 100 md 50:50GM 100 md 33:33:33

1000 mdBase Case

Geom. Mean 100 md50:50 Random k

Geom. Mean 100 md33:33:33 Random k

020

40

60

80

100

120

0 300 600 900Time (days)

Oil

Pro

du

ctio

n (

ST

B/d

ay)

PrimaryProduction

Parameter SensitivityParameter Sensitivity (900 days) (900 days)

1000 md Base Case

0.50

0.35

0.20

0.80

0.65

So

1000 mdBase Case

100 md Case 10 md Case

Case 10mdCase 100md

Different Angle Domain Different Angle Domain (900 days)(900 days)

Base Case Different Angle Case

Oil

Pro

du

ctio

n (

ST

B/d

ay)

0.50

0.35

0.20

0.80

0.65

So

020

40

60

80

100

120Base CaseDifferent Angle Case

0 300 600 900Time (days)

PrimaryProduction

Different Height Domain Different Height Domain (900 days)(900 days)

Base Case

Oil

Pro

du

ctio

n (

ST

B/d

ay)

0.50

0.35

0.20

0.80

0.65

So

020

40

60

80

100

120Base CaseHalf Top Case

0 300 600 900Time (days)

Half-bottom Case Half-top Case

Half Bottom CasePrimary

Production

Sandstone

Faulted-Fractured Reservoir SystemFaulted-Fractured Reservoir System

Fault

Increasing FracturesIncreasing Fractures

Upper Reservoir

Lower Reservoir

Shale

k (md) (%)10000

500

100

10

5

11

10

8

100

200 ft

1000 ft

1000 ft

kh (md-ft)Fault

thic

knes

s =

0.3

ft

Production Wells

Secondary Injection Wells (production wells during primary prod’n)

20 daysPrimary Production

0.50

0.35

0.20

0.80

0.65

So

600 daysPrimary Production 3000 daysWater Flood Start after 600 days 6000 daysWater Flood Start after 600 days

Viewed From Bottom of Model Domain

Faulted-Fractured ReservoirFaulted-Fractured Reservoir

Production Well

Injection Well

0.50

0.35

0.20

0.80

0.65

So

Production Well

Injection Well

FaultLower Res.

Primary Production

Wat

er C

ut

(vo

l/vo

l)

0

0.35

0.70

0 3000 6000Time (days)

Primary Production

Oil

Pro

du

ctio

n R

ate

(S

TB

/day

)

0

400

800

0 3000 6000Time (days)

Production From

Primary Production 20 days

Impact of Fault Impact of Fault kk

Primary Production 600 days

Secondary Production after 600 days 3000 days

Secondary Production after 600 days 6000 days

Fault k = 100 mdFault k = 10,000 md

1800 feet

1800

fee

t

200 feet

N

UD

Cocks Comb Study

Cottonwood Wash StudyField

Area

Utah

Teasdale Fault, Utah10 Kilometers

1m

Joint ZoneHigh k Features

Outcrop-to-SimulationOutcrop-to-Simulation

Production• Primary 600 days• Production BHP 2200 psi• Injection BHP 3200 psi

Line Drive 2

Line Drive 1

k (md) (%)100

10

25

10

16000

2500

kh (md-ft)

Line Drive 1 (N to S)Line Drive 1 (N to S) Line Drive 2 (W to E)Line Drive 2 (W to E)

600 days

Primary Production

Oil

Pro

du

ctio

n R

ate

(ST

B/d

ay)

500

1000

2500

3500

0 3000 6000Time (days)

Gas

Oil

Rat

io

1100

1400

1800

0 3000 6000Time (days)

2100

View From Bottom of Model Domain

Well Placement StrategiesWell Placement Strategies

Line Drive 1

Line Drive 2

Line Drive 1Line Drive 2

1000 days2000 days4000 days6000 days

So

0.50

0.35

0.20

0.80

0.65

Different Height Fracture Set Case Study

-10

0

10

20

30

40

50

60

70

80

90

100

0 200 400 600 800 1000

Time (days)

Oil

Pro

du

ctio

n R

ate

(S

TB

/day)

Base Case1000 md ("real-case")

Half-bottom fracture set

Half-top fracture set

Half-top fracture set CST OOIP

Half-bottom fracture set CSTOOIP

Different Height Fracture Set Case Study

0

10

20

30

40

50

60

70

80

90

100

0 200 400 600 800 1000

Time (days)

Oil

Pro

du

cti

on

Ra

te (

ST

B/d

ay

)

Base Case1000 md ("real-case")

Half-bottom fracture set

Half-top fracture set

Half-top fracture set CST OOIP

Half-bottom fracture set CSTOOIP

Water Cut

0

0.2

0.4

0.6

0.8

1

1.2

0 1000 2000 3000

Time (days)

Wate

r C

ut

Test01

Test02

Test03

Test04

Center Producer w/o injection

Status and Challenges• Preserve geologic integrity while constructing simulation models• Relationship between discrete-fracture models and dual-porosity

models– DFN as upscaling/calibration tool for DP models? – Field-wide DFN models in the near future?

• Fundamental work– Additional physics?– Upscaling– Integrating geomechanics– Dynamic data updaing– Different discrete-fracture implementations– Discretization schemes– Gridding– Efficiency of solvers– High-performance (parallel) computing

Acknowledgements U.S. DOE Contract DE-FC26-04NT15531 through the

National Energy Technology Laboratory. Schlumberger Inc. – Eclipse academic license Sandia National Laboratories – CUBIT license Argonne National Laboratory – PETSc Our eam

– Jim Evans, Professor, Utah State University, Logan, Utah– Tom Doe, Golder and Associates– Yi-kun Yang, Post-doc– Sriram Balasubramaniam, Graduate student– Ganesh Balasubramaniam, Graduate student– Yao Fu, Graduete student– Kan Huang, Graduate student– Zhiqiang Gu, Graduate student– Huabing Wang, Graduete student