Tectonic heat flow modelling for basin maturation: method .... vanwees...Tectonic heat flow...

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Tectonic heat flow modelling for basin maturation: method and applications J.D. van Wees 1,2 , R. Abdul-Fattah 1 , D. Bonte 1,2 , H. Kombrink 1 , H. Verweij 1 , F. van Bergen, P. David F. Beekman 2 , S. Cloetingh 2 2 Vrije Universiteit Amsterdam 1 TNO

Transcript of Tectonic heat flow modelling for basin maturation: method .... vanwees...Tectonic heat flow...

Page 1: Tectonic heat flow modelling for basin maturation: method .... vanwees...Tectonic heat flow modelling for basin maturation: method and applications J.D. van Wees 1,2, R. Abdul-Fattah

Tectonic heat flow modelling for basin maturation: method and applications

J.D. van Wees1,2,

R. Abdul-Fattah1, D. Bonte1,2,

H. Kombrink1, H. Verweij1, F. van Bergen, P. David

F. Beekman2, S. Cloetingh2

2Vrije Universiteit Amsterdam 1TNO

Page 2: Tectonic heat flow modelling for basin maturation: method .... vanwees...Tectonic heat flow modelling for basin maturation: method and applications J.D. van Wees 1,2, R. Abdul-Fattah

Content

• Definition of tectonic heat flow

• Workflow

• Added value of tectonic heat flow

• Tectonic models for the Netherlands

• West Netherlands Basin

• Netherlands Antilles

• Terschelling Basin

• Variscan Foreland evolution

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shale k=1.7

sandstone k=2.5

salt k=6

Temperature (T) �

Dep

th (z) �

PD heat flow

q=60

q=80

q=40

q=30

Best fit

Heat flow (q) relates to the temperature

gradient. Present day (PD) Temperature data

(■) in wells can be directly related to (q)

kqdz

dT/=

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tectonic heat flow is calculated from the temperature gradient in the top of the numerical kinematic models, which predict temperature effects of lithosphere deformation.

The 1D McKenzie Model (1978) is a classic for continental lithosphere extension (rifting)

crust

mantle

β =Li/Le

McKenzie model: lithosphere (Li) is instantaneously

thinned by factor β

Li

Le

Temperature (T) �

Dep

th (z) �

120 km

t=100My

t=0My

t=10My

t=30My

t=300My

1330 C

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Tectonics:Lithosphere extension –

Predicted Mass surplus

Sediment record:Burial history-observed mass deficit

Tectonic Subsidence Model (δ δ δ δ = 1.47)

0

200

400

600

800

1000

1200

1400

1600

050100150200

Age [Ma]

Air

lo

ad

ed

te

cto

nic

su

bs

ide

nc

e [

m]

Observed

Model

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For the McKenzie model a very simple analytical solution for the heat flow exist

(McKenzie, 1978)

Heat flow McKenzie Model (for various ββββ -values)

0

20

40

60

80

100

120

020406080100

Age[MA]

Heat

Flo

w [

mW

m-2

]

1.25

1.5

2

3

120 km

McKenzie heat flow

No Good:

•No crustal heat production•No sediment infill

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Heat Flow Model, stretching (β=1.44)

Basement Heat Flow ( Heat production, ββββ=1.44)

45

50

55

60

65

70

75

050100150200

Age[Ma]

He

at

Flo

w [

mW

m-2

]

no sediments

sediments

synrift

Water filled

Sediment filled

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Van Wees and Beekman, 2000 sed

crust

crust

mantle

1/β

Lith

osp

heric

thick

ness

Norm

al geo

therm

dT/dz

stretched

geo

therm

dT/dz

Tectonic

Subsidence

curve

Subsidence Inversion

– tectonic heat flow

Lithosphere

Parameters

Inverted

Tectonic model

TECTONICHEAT FLOW

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Experimental design

SUB

SUBmin, PWDmin

SUBmax, PWDmax

SUBmax, PWDmin

SUBmin, PWDmax

PWDSample, interpolate from

Experimental nodes

Tectonic

Subsidence

curve

Subsidence Inversion

– tectonic heat flow

Lithosphere

Parameters

Inverted

Tectonic model

TECTONICHEAT FLOW

Uncertainty

Tectonic Subsidence

(PWD/erosion)

Heat flow Uncertainty

Uncertainty

Lithosphere

Parameters

(crust/lith)

Experimental designalternative

Inverted

Tectonic models

End-members

UNCERTAINTY TECTONIC

HEAT FLOW

MC sampling

Van Wees et al., 2008

Marine and Petroleum Geology

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Calibration to Ro – PD temperatures – sensitivity analysis

Tectonic

Subsidence

curve

Subsidence Inversion

– tectonic heat flow

Lithosphere

Parameters

Inverted

Tectonic model

TECTONICHEAT FLOW

Uncertainty

Tectonic Subsidence

(PWD/erosion)

Heat flow Uncertainty

Uncertainty

Lithosphere

Parameters

(crust/lith)

Experimental designalternative

Inverted

Tectonic models

End-members

UNCERTAINTY TECTONIC

HEAT FLOW

MC sampling

UncertaintyMaturation

Maturation Uncertainty

Uncertainty

Sedimentary

Thermal properties

MC sampling

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West Netherlands Basin – WAS-2

A priori Uncertainty

•Lithospheric thickness 90-130 km

•Erosion during Late Cretaceous Inversion 500-1500 m

•Porosity depth curves ���� sediment conductivity

Calibration

•Ro depth trend

•PD temperature gradient-

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Subsidence NWB

0

200

400

600

800

1000

1200

050100150200250300350

Age [Ma]

Tecto

nic

su

bs [

m]

data

model

56

50

62

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800+-300 m

EROSION

117+-10km

Lithosphere

thickness

1500

2000

2500

3000

3500

0.2 0.4 0.6 0.8 1 1.2 1.4

Ro [%]

De

pth

[m

]

was-32-

observed

Model

B

0

500

1000

1500

2000

2500

3000

3500

0 50 100 150Temperature[C]

De

pth

[m

]

was-32 -observed

Model

A

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-0.875

Lithospheric thickness [m]

PD

Tem

per

ature

[C

]

Porosity-depth / subsidence 1.7 Ma [m]

PD

Tem

per

ature

[C

]

-0.215

Lithospheric Thickness

Porosity-depth relationship

Sensitivity

Tornado-plot

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• 3D Basin Modeling: How to predict heat flow away from wells?

well

Best fit q=30

q=30?Use linear

extrapolation?

Added value of tectonic heat flow modeling

Page 16: Tectonic heat flow modelling for basin maturation: method .... vanwees...Tectonic heat flow modelling for basin maturation: method and applications J.D. van Wees 1,2, R. Abdul-Fattah

70&80s wells, NO HC

SHALLOW WATER, 28 mW

DEEP WATER , 38 mW

Possibly HC

SL

OW

FA

ST

Heat F

low

[mW

m-2

]

Age [Ma]

Netherlands Antilles

Van Wees et al., 2008 – Marine and Petroleum Geology

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• Basin Modeling: How to find heat flow in the past

Age (Ma)

Hea

t F

low

Typical start:

Flat heat flow through timeusing the same as PD heat flow

Present day (PD) heat flow

Added value of tectonic heat flow modeling

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• Basin Modeling: How to find better heat flow in the past

Modified to fit Ro

Age (Ma)

Hea

t F

low

Added value of tectonic heat flow modeling

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Seismic tomography

demonstrates mantle plumes acting as heat advection channels

in the deep lithosphere

Goes et al., 2000

Ritter et al., 2001

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Extension models – melts and underplates can arise from hot mantle (plumes) which result in accentuated heat advection and heat flow, relative to default extension

http://www.mantleplumes.org/

Crust

Mantle

Norm

al geo

therm

dT/dz

stretched

geo

therm

dT/dz

Underplate

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β=1.5

Lith

osp

heric th

ickness

No

rmal g

eoth

erm

dT/dz

stretched

geo

therm

dT/dz

Crust

Mantle

dT/dz

Ho

t m

antl

e p

lum

eH

ot

man

tle

plu

me

stretched

geo

therm

uniform two-layered

δ=1.5

β=3

Van Wees et al., 2000- – Marine and Petroleum Geology Ziegler et al., 1998 - Tectonophysics

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Sirt Basin

Abadi et al., 2008 –

AAPG Bulletin

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0

500

1000

1500

020406080100

Age [Ma]

Tecto

nic

subs [m

]data

model

synrift

synrift

EAST SIRT- Agedabia WEST SIRT- Hun

0

500

1000

1500

020406080100Age [Ma]

Te

cto

nic

su

bs

[m

]

data

model

synrift

underplating

65

45

55

65

45

55

1500

2000

2500

3000

3500

4000

4500

5000

0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2

Ro [%]

Dep

th [

m]

Agedabia-obs

Agedabia-model

HUN-obs

HUN-model

HUN

Agedabia

0

500

1000

1500

2000

2500

3000

3500

4000

4500

0 50 100 150

Temperature [C]

De

pth

[m

]

BHT 22/km

BHT 25/km

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Van Wees et al., 2008 – Marine and Petroleum Geology

0

200

400

600

800

1000

1200

1400

0100200300

Age [Ma]

Tecto

nic

su

bsid

en

ce [m

]

observed

modelled

45

47

49

51

53

55

57

59

61

63

65

Basem

ent h

eat fl

ow

[m

W/m

2]

default heat

flowelevated

West Netherlands

Basinβ=1.5

Lith

osp

heric th

ickn

ess

No

rmal g

eoth

erm

dT/dz

stretched

geo

therm

dT/dz

Crust

Mantle

dT/dz

Ho

t m

antl

e p

lum

eH

ot

man

tle

plu

me

stretched

geo

therm

uniform two-layered

δ=1.5

β=3

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Model building:Boundary conditions

-1600

-1400

-1200

-1000

-800

-600

-400

-200

0

-320 -270 -220 -170 -120 -70 -20

Age [Ma]

Te

cto

nic

su

bs

ide

nc

e [

m]

Tectonic Sub Tectonic Model

55

58

61

64

67

70

Basem

en

t h

eat

flo

w [

mW

/m2]

Calibrated Heat Flow

0.981.011.060.951.0411.111.140.89

-1600

-1400

-1200

-1000

-800

-600

-400

-200

0

-320 -270 -220 -170 -120 -70 -20

Age [Ma]

Te

cto

nic

su

bs

ide

nc

e [

m]

Tectonic Sub Tectonic Model

55

58

61

64

67

70

Basem

en

t h

eat

flo

w [

mW

/m2]

Calibrated Heat Flow

0.981.011.060.951.0411.111.140.89

Basal heat flow historyreconstructed from tectonicmodelling (Petroprob) (Rader Abdul Fattah

et al 2008)

33 heat flow maps

Page 26: Tectonic heat flow modelling for basin maturation: method .... vanwees...Tectonic heat flow modelling for basin maturation: method and applications J.D. van Wees 1,2, R. Abdul-Fattah

Willingshofer and Cloetingh, Tectonics 22, 2003

Ziegler et al., 1998

Page 27: Tectonic heat flow modelling for basin maturation: method .... vanwees...Tectonic heat flow modelling for basin maturation: method and applications J.D. van Wees 1,2, R. Abdul-Fattah

Carboniferous –Netherlands (1)

Kombrink et al., 2008 (Basin Research)

Page 28: Tectonic heat flow modelling for basin maturation: method .... vanwees...Tectonic heat flow modelling for basin maturation: method and applications J.D. van Wees 1,2, R. Abdul-Fattah

Carboniferous –Netherlands (2)

Page 29: Tectonic heat flow modelling for basin maturation: method .... vanwees...Tectonic heat flow modelling for basin maturation: method and applications J.D. van Wees 1,2, R. Abdul-Fattah

Carboniferous –Netherlands (4)

Page 30: Tectonic heat flow modelling for basin maturation: method .... vanwees...Tectonic heat flow modelling for basin maturation: method and applications J.D. van Wees 1,2, R. Abdul-Fattah

Conclusions

• Tectonic heat flow models aid in predicting heat flow for basin

modelling beyond well control

• Mature basins - Heat flow through time

• Frontier basins – spatial variability

• Tectonic heat flow models should include effects of crustal heat

production and sediment infill/erosion

• The Netherlands

• Average heat flow values today

• Considerable variation through time:

• Elevated at mantle plume/underplating phase

• Depressed during foreland formation