55
Fluid dynamic processes within a closed repository with or without long-term monitoring 7 th US/German Workshop on Salt Repository Research, Design, and Operation R. Wolters , K.-H. Lux, U. Düsterloh Chair in Waste Disposal and Geomechanics Clausthal University of Technology September 7-9, 2016 Washington, DC

16 wolters lux

Embed Size (px)

Citation preview

Page 1: 16 wolters lux

Fluid dynamic processes within a closed repository with or without long-term monitoring

7th US/German Workshop on Salt Repository Research, Design, and Operation

R. Wolters, K.-H. Lux, U. Düsterloh

Chair in Waste Disposal and GeomechanicsClausthal University of Technology

September 7-9, 2016Washington, DC

Page 2: 16 wolters lux

2Fluid dynamic processes within a closed repository

with or without long-term monitoring

Outline

• Long-Term Monitoring Options

• Fluid Dynamic Processes within a Closed Repository

• TH2M-Coupled Simulation Tool FTK

• Numerical Simulation Results

• Conclusions

Page 3: 16 wolters lux

3Fluid dynamic processes within a closed repository

with or without long-term monitoring

Outline

• Long-Term Monitoring Options

• Fluid Dynamic Processes within a Closed Repository

• TH2M-Coupled Simulation Tool FTK

• Numerical Simulation Results

• Conclusions

Page 4: 16 wolters lux

4Fluid dynamic processes within a closed repository

with or without long-term monitoring

Long-Term Monitoring Options

Motivation

In Germany, according to its recommendations, the Repository Commission prefers the disposal of high-level waste within a repository built in deep geological formations.

But:

Reversibility of decisions as well as retrievability of the waste canisters should be possible for future generations because there might be a significant improvement of scientific knowledge and technology concerning the handling of high-level waste or there might occur an unexpected development of the repository system.

For this reason, a long-term monitoring option should be implemented into the repository concept to provide data about the time-dependent physical as well as chemical situation within the repository system.

How could a long-term monitoring option be realized?

Page 5: 16 wolters lux

5Fluid dynamic processes within a closed repository

with or without long-term monitoring

Long-Term Monitoring Options

Swiss Monitoring ConceptSource: Nagra-Webpage

How can the measured data be transferred from the pilot facility to the main facility?How to be sure that the main facility works correctly if the pilot facility works correctly?

1 Main facility SF/HLW2 ILW repository3 Pilot facility4 Test zones5 Access tunnel6 Ventilation shaft and construction shaft

Page 6: 16 wolters lux

6Fluid dynamic processes within a closed repository

with or without long-term monitoring

Long-Term Monitoring Options

2-Level Repository Concept

Emplacement Level Monitoring Level Monitoring Boreholes

Monitoring of every single emplacement drift is possible!

Page 7: 16 wolters lux

7Fluid dynamic processes within a closed repository

with or without long-term monitoring

Long-Term Monitoring Options

2-Level Repository Concept

Emplacement Level- backfilled and sealed like in repository concept without monitoring option

Monitoring Level- access to monitoring boreholes- kept open during monitoring phase- backfilled and sealed after monitoring phase (including shaft closure)

Monitoring Boreholes- drilled to emplacement drifts and instrumented before waste emplacement- provide access to measurement equipment for repair, energy supply, and data

transfer- kept internally open during monitoring phase, but covered by some kind of moveable

sealing construction at the upper end of the boreholes- lined to prevent borehole convergence during monitoring phase- (unlined?,) backfilled, and sealed after monitoring phase

Page 8: 16 wolters lux

8Fluid dynamic processes within a closed repository

with or without long-term monitoring

Outline

• Long-Term Monitoring Options

• Fluid Dynamic Processes within a Closed Repository

• TH2M-Coupled Simulation Tool FTK

• Numerical Simulation Results

• Conclusions

Page 9: 16 wolters lux

9Fluid dynamic processes within a closed repository

with or without long-term monitoring

Fluid Dynamic Processes within a Closed Repository

Mechanical Processes Salt rock mass:

- Creep behaviour- Thermomechanically induced damage leading to an increase of secondary porosity as well

as of secondary permeability- Sealing/healing of microfissures- Stress redistribution

Crushed salt:- Compaction leading to a reduction of porosity and permeability as well as to increasing

compaction stresses

Hydraulic Processes Flow of liquids and gases (2-phase flow) Increase of gas pressure due to temperature increase, gas compression, and gas

generation Hydraulically induced damage in salt rock mass / pressure-driven fluid infiltration

Thermal Processes Heat conduction considering non-constant thermal properties

Page 10: 16 wolters lux

10Fluid dynamic processes within a closed repository

with or without long-term monitoring

Outline

• Long-Term Monitoring Options

• Fluid Dynamic Processes within a Closed Repository

• TH2M-Coupled Simulation Tool FTK

• Numerical Simulation Results

• Conclusions

Page 11: 16 wolters lux

11Fluid dynamic processes within a closed repository

with or without long-term monitoring

, ,, ,

, ,

, ,, ,

, ,

, ,

, ,

, ,, ,

, ,

, ,

, ,

, ,, ,

, ,

, ,

P : pore pressureT : temperatureSl : liquid saturation

k : permeabilityf : porosity

s : stresse : straint : time

Legend:

TH2M-Coupled Simulation Tool FTK

The TH2M-coupled simulation tool FTK is based on the two numerical codes FLAC3D and TOUGH2.

Mechanical and thermohydraulic processes are sequentally simulated.

Page 12: 16 wolters lux

12Fluid dynamic processes within a closed repository

with or without long-term monitoring

Constitutive Model Lux/Wolters

Dilatancy Boundary ss ,3 332 JF ds

Additional Creep Rate in Sealed/Healed Zones

modLubby2: D 1ss

1,11

11

23 ij

mv

ktr

k

vpij

sT

Gss

ses

e

0or0 dzds FF

DamageRate

17

16

1

**

15 a

adzds

D

FF

FF

aD

Additional CreepRate in Damaged Zones

ij

dz

a

adz

ij

ds

a

ads

dzij

dsij

dij

QD

FF

aQ

DFF

ass

eee

2

1

2

1

11

*

3

*

3

Sealing/Healing Boundary

Sealing/Healing Rate

ieij

eijij eee

no further damage orsealing/healing

0D

0&0&0,or

0&0,,

DFFF

DFFF

hdzds

hdzds

0and0 hFD

hij

dij

vpij

ieij eeee

DD

2

0111

p

p

vol vv

De

, mod , modkG m

av

vmm TlmT

*

** )exp()exp(),(ssss

bv

vkk kGG

*1

* )exp()(ssss

)exp()( 2*

vkk k ss

vk

tr Gse

1max

modLubby2 (without damage)

ijmtr

tr

k

vpij s

ee

e 111

23

max

Dilatancyhhhddd

vol 321321 eeeeeee

vh MaaaMa

aa

F s

8765

11

4 expexp1

2121 fsfs

Ffcfc

MDDh

h

ij

hh

volhij

QfsF

fcM

see

11

with

12

3

621 s

sR

M

T-M

HDarcy-trINFIL

TH2M-Coupled Simulation Tool FTK

Page 13: 16 wolters lux

13Fluid dynamic processes within a closed repository

with or without long-term monitoring

Outline

• Long-Term Monitoring Options

• Fluid Dynamic Processes within a Closed Repository

• TH2M-Coupled Simulation Tool FTK

• Numerical Simulation Results• Process Modelling• System Modelling

• Conclusions

Page 14: 16 wolters lux

14Fluid dynamic processes within a closed repository

with or without long-term monitoring

Numerical Simulation Results – Process Modelling

3D-Simulation of TSDE-Experiment FLAC3D-Berechnungsmodell Voronoi-Diskretisierung für TOUGH2

FLAC3D-Berechnungsmodell Voronoi-Diskretisierung für TOUGH2

Blanco-Martín, L., Wolters, R., et al. (2016)

FLAC3D-Model

Voronoi-Discretization for TOUGH2

Page 15: 16 wolters lux

15Fluid dynamic processes within a closed repository

with or without long-term monitoring

3D-Simulation of TSDE-ExperimentBlanco-Martín, L., Wolters, R., et al. (2016)

Numerical Simulation Results – Process Modelling

Page 16: 16 wolters lux

16Fluid dynamic processes within a closed repository

with or without long-term monitoring

3D-Simulation regarding the Monitoring Borehole Concept

Numerical Simulation Results – Process Modelling

z = -560 m

z = -800 m

z = -400 m

z = -600 m

L = 50 mB = 11 m

Monitoringstrecke

Bohrlöcher

Einlagerungsstrecke

Stahlmann et al. (2016)

Shape of Emplacement Drift Shape of Monitoring Drift

Emplacement Drifts

Monitoring Boreholes

Monitoring Drift

Page 17: 16 wolters lux

17Fluid dynamic processes within a closed repository

with or without long-term monitoring

3D-Simulation regarding the Monitoring Borehole Concept

Numerical Simulation Results – Process Modelling

1 Waste Canister (5,5m) 1/2 Waste Canister

Backfill Material

(5,5m)

Monitoring Borehole

Monitoring Borehole (0,1m2)

Crushed Salt

Main Components of the 3D-Model Monitoring Drift

Emplacement Drift

A

B

1/2 Waster Canister

Crushed Salt

B

A

Emplacement DriftMonitoring Borehole

Crushed Salt

Page 18: 16 wolters lux

18Fluid dynamic processes within a closed repository

with or without long-term monitoring

Outline

• Long-Term Monitoring Options

• Fluid Dynamic Processes within a Closed Repository

• TH2M-Coupled Simulation Tool FTK

• Numerical Simulation Results• Process Modelling• System Modelling

• Conclusions

Page 19: 16 wolters lux

19Fluid dynamic processes within a closed repository

with or without long-term monitoring

3D-Simulation of a Repository System in Rock Salt Masswithout Monitoring Level

Numerical Simulation Results – System Modelling

Page 20: 16 wolters lux

20Fluid dynamic processes within a closed repository

with or without long-term monitoring

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

2. Panel 3. Panel1. Panel

→ Schachtt = 0,274 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 0,671 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 1,05 at = 0,85 a

2. Panel 3. Panel1. Panel

→ Schacht

Page 21: 16 wolters lux

21Fluid dynamic processes within a closed repository

with or without long-term monitoring

2. Panel 3. Panel1. Panel

→ Schacht

t = 1,23 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 1,57 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 1,76 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 1,94 a

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 22: 16 wolters lux

22Fluid dynamic processes within a closed repository

with or without long-term monitoring

2. Panel 3. Panel1. Panel

→ Schacht

t = 2,13 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 2,47 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 2,81 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 3,15 a

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 23: 16 wolters lux

23Fluid dynamic processes within a closed repository

with or without long-term monitoring

2. Panel 3. Panel1. Panel

→ Schacht

t = 3,28 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 3,41 a

2. Panel 3. Panel1. Panel→ Schacht

t = 3,54 a

2. Panel 3. Panel1. Panel

→ Schacht

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 24: 16 wolters lux

24Fluid dynamic processes within a closed repository

with or without long-term monitoring

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 25: 16 wolters lux

25Fluid dynamic processes within a closed repository

with or without long-term monitoring

t = 6,24 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 6,37 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 5,53 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 5,67 a

2. Panel 3. Panel1. Panel

→ Schacht

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 26: 16 wolters lux

26Fluid dynamic processes within a closed repository

with or without long-term monitoring

t = 7,66 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 7,79 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 6,95 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 7,08 a

2. Panel 3. Panel1. Panel

→ Schacht

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 27: 16 wolters lux

27Fluid dynamic processes within a closed repository

with or without long-term monitoring

t = 9,07 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 9,21 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 8,37 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 8,50 a

2. Panel 3. Panel1. Panel

→ Schacht

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 28: 16 wolters lux

28Fluid dynamic processes within a closed repository

with or without long-term monitoring

t = 10,49 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 10,62 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 9,78 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 9,91 a

2. Panel 3. Panel1. Panel

→ Schacht

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 29: 16 wolters lux

29Fluid dynamic processes within a closed repository

with or without long-term monitoring

t = 11,90 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 12,04 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 11,20 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 11,33 a

2. Panel 3. Panel1. Panel

→ Schacht

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 30: 16 wolters lux

30Fluid dynamic processes within a closed repository

with or without long-term monitoring

t = 13,32 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 13,45 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 12,61 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 12,74 a

2. Panel 3. Panel1. Panel

→ Schacht

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 31: 16 wolters lux

31Fluid dynamic processes within a closed repository

with or without long-term monitoring

t = 14,74 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 15,31 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 14,03 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 14,16 a

2. Panel 3. Panel1. Panel

→ Schacht

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 32: 16 wolters lux

32Fluid dynamic processes within a closed repository

with or without long-term monitoring

t = 17,04 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 19,04 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 15,89 a

2. Panel 3. Panel1. Panel

→ Schacht

t = 16,46 a

2. Panel 3. Panel1. Panel

→ Schacht

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 33: 16 wolters lux

33Fluid dynamic processes within a closed repository

with or without long-term monitoring

t = 30 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 40 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 10 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 20 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 34: 16 wolters lux

34Fluid dynamic processes within a closed repository

with or without long-term monitoring

t = 70 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 80 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 50 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 60 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 35: 16 wolters lux

35Fluid dynamic processes within a closed repository

with or without long-term monitoring

t = 200 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 300 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 90 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 100 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 36: 16 wolters lux

36Fluid dynamic processes within a closed repository

with or without long-term monitoring

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

t = 600 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 700 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 400 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 500 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

Page 37: 16 wolters lux

37Fluid dynamic processes within a closed repository

with or without long-term monitoring

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

t = 600 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 700 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 400 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 500 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 1.000 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 2.000 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 800 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 900 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

Page 38: 16 wolters lux

38Fluid dynamic processes within a closed repository

with or without long-term monitoring

t = 5.000 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 6.000 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 3.000 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 4.000 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 39: 16 wolters lux

39Fluid dynamic processes within a closed repository

with or without long-term monitoring

t = 9.000 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 10.000 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 7.000 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 8.000 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 40: 16 wolters lux

40Fluid dynamic processes within a closed repository

with or without long-term monitoring

t = 9.000 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 10.000 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 7.000 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

t = 8.000 a nach Verschluss

2. Panel 3. Panel1. Panel

→ Schacht

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

Page 41: 16 wolters lux

41Fluid dynamic processes within a closed repository

with or without long-term monitoring

0

20

40

60

80

100

120

140

160

1 10 100 1000 10000 100000 1000000

Tem

pera

tur [�C

]

Zeit nach Verschluss [a]

Time-dependent Temperature Evolution

Numerical Simulation Results – System Modelling

1

4

5

2 3

Page 42: 16 wolters lux

42Fluid dynamic processes within a closed repository

with or without long-term monitoring

Time-dependent Porosity Evolution

Numerical Simulation Results – System Modelling

0

0,05

0,1

0,15

0,2

0,25

0,3

0,35

1 10 100 1000 10000 100000 1000000

Poro

sitä

t [-]

Zeit nach Verschluss [a]

1

4

5

2 3

Page 43: 16 wolters lux

43Fluid dynamic processes within a closed repository

with or without long-term monitoring

0

2

4

6

8

10

12

14

16

18

20

1 10 100 1000 10000 100000 1000000

Pore

ngas

druc

k [M

Pa]

Zeit nach Verschluss [a]

Time-dependent Gas Pressure Evolution

Numerical Simulation Results – System Modelling

1

4

5

2 3

Page 44: 16 wolters lux

44Fluid dynamic processes within a closed repository

with or without long-term monitoring

Gas Flow within Repository System (t = 10 a after repository closure)

Numerical Simulation Results – System Modelling

↑ Schacht

↓ 1. & 2. Einlagerungsfeld← weitere Einlagerungskammern im 3. Einlagerungsfeld

ca. 0,0043 N-m³/a/m²

ca. 0

,057

N-m

³/a/m

²

ca. 0

,0 N

-m³/a

/m²

Page 45: 16 wolters lux

45Fluid dynamic processes within a closed repository

with or without long-term monitoring

ca. 0,1356 N-m³/a/m²

ca. 0

,072

2 N

-m³/a

/m²

ca. 0

,035

N-m

³/a/m

²↑ Schacht

↓ 1. & 2. Einlagerungsfeld← weitere Einlagerungskammern im 3. Einlagerungsfeld

Gas Flow within Repository System (t = 1.000 a after repository closure)

Numerical Simulation Results – System Modelling

Page 46: 16 wolters lux

46Fluid dynamic processes within a closed repository

with or without long-term monitoring

ca. 0,046 N-m³/a/m²

ca. 0

,041

N-m

³/a/m

²

ca. 0

,023

N-m

³/a/m

²↑ Schacht

↓ 1. & 2. Einlagerungsfeld← weitere Einlagerungskammern im 3. Einlagerungsfeld

Gas Flow within Repository System (t = 10.000 a after repository closure)

Numerical Simulation Results – System Modelling

Page 47: 16 wolters lux

47Fluid dynamic processes within a closed repository

with or without long-term monitoring

ca. 0,00159 N-m³/a/m²

ca. 0

,0 N

-m³/a

/m²

ca. 0

,001

13 N

-m³/a

/m²↑ Schacht

↓ 1. & 2. Einlagerungsfeld← weitere Einlagerungskammern im 3. Einlagerungsfeld

Gas Flow within Repository System (t = 200.000 a after repository closure)

Numerical Simulation Results – System Modelling

Page 48: 16 wolters lux

48Fluid dynamic processes within a closed repository

with or without long-term monitoring

Gas Infiltration into Salt Rock Mass (t = 8.000 a after repository closure)

Numerical Simulation Results – System Modelling

t = 8.000 Jahrenach Verschluss des Endlagers

t = 80.000 Jahrenach Verschluss des Endlagers

0

2

4

6

8

10

12

14

16

18

20

1 10 100 1000 10000 100000 1000000

Pore

ngas

druc

k [M

Pa]

Zeit nach Verschluss [a]

Page 49: 16 wolters lux

49Fluid dynamic processes within a closed repository

with or without long-term monitoring

Gas Infiltration into Salt Rock Mass (t = 20.000 a after repository closure)

Numerical Simulation Results – System Modelling

0

2

4

6

8

10

12

14

16

18

20

1 10 100 1000 10000 100000 1000000

Pore

ngas

druc

k [M

Pa]

Zeit nach Verschluss [a]

Page 50: 16 wolters lux

50Fluid dynamic processes within a closed repository

with or without long-term monitoringt = 8.000 Jahrenach Verschluss des Endlagers

t = 80.000 Jahrenach Verschluss des Endlagers

Gas Infiltration into Salt Rock Mass (t = 80.000 a after repository closure)

Numerical Simulation Results – System Modelling

0

2

4

6

8

10

12

14

16

18

20

1 10 100 1000 10000 100000 1000000

Pore

ngas

druc

k [M

Pa]

Zeit nach Verschluss [a]

Page 51: 16 wolters lux

51Fluid dynamic processes within a closed repository

with or without long-term monitoring

3D-Simulation of a Repository System with Monitoring Level

Numerical Simulation Results – System Modelling

Page 52: 16 wolters lux

52Fluid dynamic processes within a closed repository

with or without long-term monitoring

Gas Flow within Repository System (t = 900 a after repository closure)

Numerical Simulation Results – System Modelling

ca. 0,0014 N-m³/a/m²

ca. 0

,24

N-m

³/a/m

²

ca. 0

,238

N-m

³/a/m

²

ca. 0,000885 N-m³/a/m²

ca. 0,0144 N-m³/a/m²

Einlagerungssohle

Überwachungssohle

Bohrlöcher

Page 53: 16 wolters lux

53Fluid dynamic processes within a closed repository

with or without long-term monitoring

Outline

• Long-Term Monitoring Options

• Fluid Dynamic Processes within a Closed Repository

• TH2M-Coupled Simulation Tool FTK

• Numerical Simulation Results

• Conclusions

Page 54: 16 wolters lux

54Fluid dynamic processes within a closed repository

with or without long-term monitoring

Conclusions

Capabilities of the simulation tool FTK to evaluate the barriers integrity over time including TH2M-coupled processes like rock mass convergence, backfill compaction, heat production, gas production, 2-phase flow, and pressure-driven infiltration have already been demonstrated in former works, e.g. at SaltMech 8 or at 5th US/German Workshop on Salt Repository Research, Design, and Operation.

The simulation tool FTK can be used to analyze the long-term TH2M-coupled behaviour of a repository system in salt rock mass without or with monitoring option.

Numerical simulation of fluid dynamics in a closed repository in rock salt without monitoring option shows:

- Maximum temperature stays below .- Temperature field reaches primary temperature after about 10,000 years.- Primary pore air within crushed salt as well as corrosion gases are squeezed out through drifts and

shafts as well as through the geologic barrier due to the pressure-driven gas infiltration process.

Numerical simulation of fluid dynamics in a closed repository in rock salt with monitoring option via monitoring boreholes shows:

- Temperature at monitoring level amounts about in maximum.- Gas escapes from the emplacement level to the monitoring level through the monitoring boreholes

resulting in a less intensive gas pressure build-up within the repository system.

Page 55: 16 wolters lux

55Fluid dynamic processes within a closed repository

with or without long-term monitoring

Conclusions

Some benefits of the implementation of a monitoring level in combination with monitoring boreholes:

Monitoring boreholes enable direct measurement of physical parameters during post-closure transition phase.

Monitoring boreholes give a possibility to indicate measurement errors and to replace measurement equipment in case of cancellation.

Direct monitoring may increase confidence as well as public acceptance.

But:

Direct monitoring via monitoring level in combination with monitoring boreholes may influence the site selection criteria (e.g. thickness as well as lateral extension of geological barrier formation) and has therefore to be implemented in the site selection process.