Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future...

48
MODELING OF THE THERMO-HYDRO-MECHANICAL-CHEMICAL RESPONSE OF 1 ONTARIO SEDIMENTARY ROCKS TO FUTURE GLACIATIONS 2 3 Othman Nasir 1 , Mamadou Fall 1* , T. Son Nguyen 2,1 , Erman Evgin 1 4 1 Civil Engineering Department, University of Ottawa, Ottawa, Ontario, Canada 5 2 Canadian Nuclear Safety Commission (CNSC), Ottawa, Ontario, Canada 6 7 8 9 *Corresponding author: 10 Dr. Mamadou Fall 11 Professor, 12 Director of OCIENE 13 Department of Civil Engineering, 14 University of Ottawa, Canada; 15 161 Colonel by, Ottawa (Ontario), K1N 6N5; 16 [email protected] 17 Phone: +1-613-562 5800 # 6558 18 Fax: +1-613-562 5173 19 20 21 22 Page 1 of 48 Can. Geotech. J. Downloaded from www.nrcresearchpress.com by CLEMSON UNIVERSITY on 11/13/14 For personal use only. This Just-IN manuscript is the accepted manuscript prior to copy editing and page composition. It may differ from the final official version of record.

Transcript of Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future...

Page 1: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

MODELING OF THE THERMO-HYDRO-MECHANICAL-CHEMICAL RESPONSE OF 1

ONTARIO SEDIMENTARY ROCKS TO FUTURE GLACIATIONS 2

3

Othman Nasir1, Mamadou Fall

1*, T. Son Nguyen

2,1, Erman Evgin

1 4

1Civil Engineering Department, University of Ottawa, Ottawa, Ontario, Canada 5

2Canadian Nuclear Safety Commission (CNSC), Ottawa, Ontario, Canada 6

7

8

9

*Corresponding author: 10

Dr. Mamadou Fall 11

Professor, 12

Director of OCIENE 13

Department of Civil Engineering, 14

University of Ottawa, Canada; 15

161 Colonel by, Ottawa (Ontario), K1N 6N5; 16

[email protected] 17

Phone: +1-613-562 5800 # 6558 18

Fax: +1-613-562 5173 19

20

21

22

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ABSTRACT 23

24

In this work, the response of a proposed deep geological repository (DGR), located in 25

sedimentary rock formations of southern Ontario, to potential future glaciation cycles is 26

numerically investigated. A coupled thermo-hydro-mechanical-chemical model is 27

developed and numerically solved by using the finite element method. The general 28

circulation model (GCM) from the University of Toronto is used to generate future glacial 29

cycles and related surface boundary conditions based on the past 120,000 years of glacial 30

history. The geometry of the hypothetical DGR is adopted from the proposed design. Two 31

types of vertical shaft conditions, effective and failed, are included and investigated in this 32

study. For the case with effective vertical shafts, the results show that the potential 33

radioactive solute transport is diffusion dominated and the transport distance is contained 34

within natural barriers. However, the results for the case of a shaft seal failure show that 35

future glaciations could potentially lead to significant advection transport of radionuclides 36

from the level of the DGR to the shallow ground water horizons. From a safety 37

perspective, the shaft structure is concluded to be a critical part of the DGR system and 38

needs to be considered as an important factor in safety assessments and future research. 39

40

Keywords: 41

Glaciation, deep geological repositories, coupled processes, THMC, nuclear waste, 42

coupling, COMSOL. 43

44

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1 Introduction 45

46

The problem of radioactive waste management started to attract a considerable amount of 47

attention in the 1940s (Hatch, 1953). Different techniques were proposed to deal with 48

radioactive waste disposal (Scott, 1950; Hatch, 1953), with the first formal long term 49

solution being proposed by the US National Academy of Sciences (NAS/NRC, 1957). This 50

involved the disposal of radioactive waste in porous media located at great depth. From a 51

scientific perspective, there is an international consensus that deep geological disposal is 52

the best option for the long term management of radioactive wastes (Radioactive Waste 53

Management Committee of the Organisation for Economic Co-operation and Development 54

(OECD), 1999). The time frame considered for the safety assessment of deep geological 55

repositories (DGR) is dependent on the half-lives of the radionuclides associated with the 56

wastes, and could span periods of 10,000 to 1,000,000 years (Fall and Nasir 2011a). 57

58

Due to those very long time frames, the numerous levels of redundancy for the protection 59

of human health and the environment need to be considered in the site selection and 60

design of a DGR system. One of the main concepts in DGR design is the multiple barrier 61

system, which includes both engineered and natural barriers for the containment and 62

isolation of the wastes (Nasir et al. 2011; Fall et al. 2014). There is also the concept of 63

robustness of the individual barrier and of the overall DGR system. The former is the ability 64

of the individual barrier to sustain possible extreme boundary conditions (BCs) during the 65

assessment time frame, including major natural climate changes and phenomena, such as 66

earthquakes and glaciations. The latter is associated with the fact that the failure of one 67

barrier does not compromise the safety of the overall DGR system. The safety assessment 68

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of DGR requires the investigation of extreme bounding scenarios. A shaft seal failure 69

represents an extreme bounding case. This is a conservative assumption. 70

71

During the last two decades, modeling studies (e.g., Nguyen et al., 1993; SKB, 1997; 72

Boulton et al., 2004; Vidstrand et al., 2008) have investigated the coupled response of 73

DGR systems to potential future glaciations. These studies show that glaciations could 74

significantly impact the mechanical and hydraulic regime of DGRs. Person et al. (2012) 75

provided a review and summary of several studies related to the modeling of ice-sediment 76

hydrologic interactions in Europe and North America. They presented a detailed analysis 77

of these studies including description of the model, study areas, domain scales and 78

whether hydromechanical coupling was included or not. Person et al. (2012) highlighted 79

the uncertainties in boundary and initial conditions included in the studies reviewed and 80

the range of assumptions made to cover these uncertainties. In addition to that, they listed 81

the most important processes covered by the studies (e.g., hydro-mechanical effects, 82

hydrogeological processes, permafrost formation, brine transport processes). However, it 83

is worth noting that none of the studies reviewed by Person et al. (2012) involve modeling 84

that includes all of the processes listed as strong processes. 85

The aforementioned mentioned studies were limited in the following aspects. First, they did 86

not couple all relevant processes, such as mechanical, hydro-geological, thermal and 87

chemical processes, and there are limited parameter changes and evolution in the derived 88

governing equations (e.g., porosity and permeability changes). Secondly, these studies 89

either dealt with hypothetical rock formations or with granitic formations. Thirdly, there is a 90

lack of large scale field data to validate the predicted results. Thus, no modeling studies 91

have been done to investigate the thermo-hydro-mechanical-chemical (THMC) response 92

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Page 5: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

of sedimentary rocks in Ontario to future climate changes. To the best of the authors’ 93

knowledge, this work is the first modeling study of glaciation impact on such formations, 94

using a comprehensive mathematical THMC model. 95

96

The paper is organized as follows. The first section describes the geological setting and 97

the geometry of the proposed DGR system and the model geometry. In the second 98

section, the development of the THMC model is presented. In the third section, the 99

conceptual modeling approach for the impacts of future glaciations is explained. In the 100

fourth section, the main modeling results are presented and discussed. Finally, the 101

conclusions are presented. 102

103

104

2 Site Geological Setting and DGR Engineering Geometry 105

106

2.1 Geological Setting 107

108

Figure 1 shows the location of the DGR at the Bruce nuclear site in Ontario being 109

proposed by Ontario Power Generation (OPG). The main objective of the proposed DGR 110

is to achieve long term containment and isolation of disposed nuclear waste. It is currently 111

proposed that this site will accept the disposal of low and intermediate level radioactive 112

wastes (LILWs) within the limestone host rock at a depth of 680 m. The limestone host 113

rock is one of the sedimentary rock formations of the Michigan basin shown in Figure 1. 114

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The limestone formation was formed in the Middle Ordovician period, approximately 550 to 115

390 million years ago and is located in the Bruce Megablock (Sanford et al., 1985). As part 116

of the environmental assessment process, OPG performed extensive investigations at the 117

proposed site by drilling boreholes with maximum depths to the Precambrian formation as 118

shown in Figure 2 (NWMO, 2011C). 119

120

2.2 DGR Geometry 121

122

The proposed DGR is located in the upper part of the Middle Ordovician limestone 123

formation, which is approximately 200 m in thickness, and overlain by approximately 200 124

m of upper Ordovician shale formation as shown in Figure 2. In the proposed OPG’S DGR, 125

there are two main barrier components; (i) the natural barrier system represented by the 126

natural rock formations; (ii) and the engineered barrier system represented by man-made 127

structures which are designed to provide additional barriers such as shaft filling materials, 128

including bentonite- sand mixture, asphalt, concrete and backfill, and the monolith 129

concrete. On the other hand, and in terms of DGR components, the DGR has three main 130

components, which include shafts (main and ventilation shaft), tunnels, storage rooms 131

(Figure 3). As only the shaft and the monolith are filled with engineered materials, 132

consequently only the shaft and monolith are designed to provide an engineered barrier. 133

The shaft will be mainly filled with bentonite – sand mixture with specific engineering 134

properties. The properties are expected to change with time due to degradation processes 135

(NWMO 2011A-D); this is considered as worst case scenario and termed as “shaft seal 136

failure scenario”. 137

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138

139

From a numerical analysis perspective, the proposed geometry requires a large number of 140

mesh elements which could exceed available resources. To overcome this difficulty, a 141

simplified equivalent geometry is generated based on the proposed DGR dimensions 142

(Quintessa Ltd. and Geofirma Engineering Ltd., 2011), as shown in Figure 4. In the 143

simplified geometry, the services area, access tunnels and storage rooms are merged into 144

one equivalent component, and the main and ventilation shafts are merged into one 145

equivalent shaft. Initial scoping simulations indicated that merging the two shafts into one 146

shaft has no effect on the model response and near-field fluid flow. In addition to that, the 147

shafts and the access tunnel sizes are adjusted to take into consideration the effect of the 148

excavation damage zone (EDZ) with a ratio of 1R (R is the radius of the excavation) 149

(ANDRA, 2005). 150

3 Governing Equations of the Mathematical Model 151

152

The conceptual and mathematical models used to simulate the THMC processes 153

associated with the impact of future glaciations is described in more details by Fall and 154

Nasir (2011a) and Nasir et al. (2011). The governing equations of the mathematical model 155

represent the flow, heat transfer, solute transport and mechanical processes, respectively, 156

as follows: 157

( )

( ) ( )( )dt

dTnn

dt

dp

K

n

K

n

Kdt

de

t

Cn

Dgp

fSSf

fSS

f

ff

f

ff

ββββαβρα

ραργ

ρηκ

ρ

−−+−+

+−++

∂∂

=

∇+∇⋅∇

''

'

MM.M.... (1) 158

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( ) TCTKt

TC Leqeq ∇−=∇−∇+

∂∂

u. MMMMMMMMMMMMMMMMMMMMMMMM..(2) 159

[ ] CL SccnDt

cn =+∇−∇+∂∂ uuuu. MMMMMMMMMMMMMMMMMMMMMMMMMMM..(3) 160

( ) 0

22

=+∂∂

−∂∂

−∂∂

∂++

∂∂

∂i

i

D

iji

j

jj

i Fx

TK

x

p

yx

uG

yx

uG βαλ MMMMMMMMMMMMMMMMM..(4) 161

where: 162

T Average temperature of the porous medium

Ceq Effective volumetric heat capacity

Keq Effective thermal conductivity

CL Volumetric heat capacity of the moving fluid

u Fluid velocity vector

fρ Fluid density

t Time

n Porosity

s Solid

f Fluid

κ Permeability

η Dynamic viscosity

p Pressure

D

Direction of gravitational acceleration (g)

eff Volumetric deformation

DK ,SK and

fK Bulk moduli of solid matrix, solid grains and water fluid, respectively

β ,sβ and

fβ Thermal expansion coefficients for the solid matrix, solid grains and water

fluid, respectively,

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α Biot coefficient

S

D

K

K−= 1α

'α ( )( )n

n

−−

1

α

C

Concentration of total dissolved solids (TDS)

ji uu , x and y direction displacements

DL

Hydrodynamic dispersion tensor

Sc Solute source or sink

G Shear modulus

λ Lamé constant

g Gravity acceleration

Fi Body force

γ Rate of change in fluid density to change in total dissolved solid

concentration C

163

As discussed in Fall and Nasir (2011a) and Nasir et al. (2011), the model has been used 164

to simulate the effects of past glaciation cycles on the THMC regimes in the rock 165

formations. The model results were compared with field data obtained from the 166

geoscientific site investigations performed by OPG. The main results of the comparison 167

can be summarized as follows: 168

- The comparison of the predicted pore water pressures with the specific pore water 169

pressures (including anomalous under and over-pressure) observed at sites shows 170

that past glaciations had a contribution to the observed anomalous under and over-171

pressure; 172

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- Total dissolved solid profile predicted by the model shows a very good agreement 173

with the site specific observations; 174

- Predicted depth of glacial melted water are in good agreement with the oxygen 175

isotope tracers observed at the specific site 176

- Predicted depths of permafrost are consistent with that predicted by other models 177

(e.g., Peltier, 2008). 178

This type of validation provides additional confidence in the use of the developed 179

model to simulate the effects of future glaciation cycles, which are presented in the 180

present paper. It should be emphasized that, in this work four coupled processes are 181

implemented in the modeling, including, hydraulic, mechanical, thermal, and chemical 182

processes. Only strong coupled processes (poroelastic, hydro-mechanical, thermo-183

mechanical, thermo-hydraulic, hydro-chemical, chemico-mechanical) are included in 184

the modeling. The weak coupling processes (e.g. change in temperature due to 185

chemical reaction) are not included in the model. 186

187

4 Model Geometry and Material Properties 188

189

The governing equations with assumed boundary and initial conditions are numerically 190

solved using the finite element method implemented in the commercial COMSOL code 191

(COMSOL 2009). The simplified geometry shown in Figure 5 shows the axisymmetric 192

geometry and the BCs used in the modeling process, and is discretized into a mesh of 193

21946 triangular elements as shown in Figure 6. Finer mesh discretization is adopted at 194

the DGR repository to reduce the impact of element size on the results. Sensitivity analysis 195

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was performed to investigate the impact of mesh refinement on the results, and only the 196

location of the GDR was sensitive and hence a finer mesh is adopted at that location. 197

Tables 1 and 2 show the material properties used as input to the model. Hydraulic, 198

diffusion and mechanical data of the rock formations are presented in Table 1 based from 199

an OPG report, “Descriptive Geosphere Site Model” (NWMO, 2011C). The material 200

properties of a failed shaft seal presented in Table 2 are adopted from the NWMO (2011E) 201

and Alonso and Olivella (2008). After the closure of the DGR, the excavated spaces at the 202

repository level, including repository rooms and access tunnels, are assumed to be filled 203

with a mixture of LILW waste, some concrete, and rockfill (rockfalls from the EDZ). The 204

OPG’s DGR is designed in this way to minimise the gas pressure resulting from the 205

degradation of the LILW waste by not filling the rooms and tunnels, with the exception of 206

filling the monolith and the closure walls. The storage rooms are not meant to provide any 207

engineered barriers. In order to take into account the properties of the new mixture, a 208

single equivalent material is considered for the excavated parts (access tunnels and 209

rooms) with a porosity of 0.5 and a permeability of 1.16E-13 m2 as used in NWMO 210

(2011E). In the present work, the shaft and repository post-closure properties are assumed 211

to be similar to those of the failed shaft seal (shaft seal failure case); the permeability of 212

the failed shaft is assumed to increase by four orders of magnitude (10-14 m2) as compared 213

to the effective design conditions 10-18 m2). 214

215

5 Initial and Boundary Conditions 216

217

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In order to solve the four PDEs, appropriate initial and boundary conditions are used as 218

presented in the following sections. 219

5.1 Initial Conditions 220

221

The initial conditions (ICs) assumed in this study represent the conditions at the beginning 222

of the post-closure period, when all waste emplacement activities have ceased, and the 223

shafts have been sealed. 224

5.1.1 Hydraulic and Mechanical Initial Conditions 225

226

The rock formations are assumed to be saturated and at hydrostatic pressure. The field 227

investigation results (NWMO, 20011A and 20011C) show that currently there are 228

anomalous pressure zones, with underpressure in the rock formations of the repository 229

and overpressure in the Cambrian and some of the overlying formations. These 230

anomalous pressures could subsist for very long periods of time (Fall and Nasir 2011a, 231

Nasir et al. 2011). Furthermore, gas generated by the corrosion of metals and the 232

degradation of organics in the wastes can desaturate some of the rock walls (Fall and 233

Nasir 2011b). However, the assumption of initial hydrostatic pressure and saturated rock 234

conditions, prevailing before the onset of future glaciations is conservative for the 235

simulation of contaminant transport. The initial vertical stress is assumed to be lithostatic, 236

while the maximum horizontal stress is assumed to be 1.5 times the vertical one, as is 237

commonly found in southern Ontario. This initial hydraulic/mechanical regime will be 238

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disturbed by future glaciation cycles, with the first glacial period predicted to occur in 239

approximately 60,000 years (Peltier, 2008). 240

241

5.1.2 Thermal Initial Conditions 242

243

In this work, the linear geothermal gradient is assumed by using the equation suggested 244

by Vugrinovich (1989), which can be written as follows: 245

246

Temperature (°C) = 14.5 (°C) + 0.0192(°C/m) x depth (m). 247

248

According to this equation, the initial temperature profile is approximated by 14.5 (°C) near 249

the surface and linearly increased to a constant temperature of 27.5°C at a depth of 680m 250

at level of the DGR. 251

5.1.3 Chemical Initial Conditions 252

253

In this work, the chemical process is focused on the effect of ice loading cycles on the 254

transport of solute generated within the DGR. It should be emphasized that the aim of the 255

current paper is not to perform a complete numerical modeling of the radionuclide 256

transport (this is beyond the scope of the present project), but to provide an indication of 257

the potential impact of ice loading cycles on the solute transport in the study area. In this 258

work, solute transport is represented by relative concentrations (%) which are normalized 259

to the initial concentrations ( 1000

xC

C ), where Co is the initial solute concentration at the DGR, 260

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and C is the solute concentration at time t. Figure 7 shows the initial relative 261

concentrations, and it is assumed that the solute in the host rock that surrounds the DGR 262

and shaft is zero, whereas the initial solute concentration in the source (DGR level) is 263

considered to be equal to 100%. The OPG’S DGR is designed for LILW to be stored in the 264

DGR rooms with high volume without the usage of special canister as it is the case for the 265

high level waste. Consequently, it is reasonable to assume an initial solute concentration 266

of 100% for the whole volume of the repository. 267

268

5.2 Boundary Conditions (BCs) 269

270

The BCs at the surface are considered as a function of the potential climate changes on 271

earth in the future. The prediction of past climate changes during the Quaternary period 272

(University of Toronto Glacial Systems Model (GSM), Peltier, 2008) are used to estimate 273

future ice loading due to glaciations as shown in Figure 8. It should be emphasized that 274

there are uncertainties regarding the suitable ice sheet – surface boundary conditions. For 275

example, ice sheet – surface hydraulic pressure can range from 0 up to 90% of the ice 276

load. However, from a safety perspective, it was found that the 0% hydraulic pressure 277

boundary condition represents a worst case scenario as it results in both higher effective 278

stresses and hydraulic gradients (Fall and Nasir 2011a; Nasir et al., 2011). Accordingly, 279

this boundary condition was assumed for this work. 280

Glaciations cause changes in the ground surface BCs with respect to mechanical stresses, 281

surface temperature, surface water chemistry and surface water pressure. Four sets of 282

BCs, including hydraulic, mechanical (transient loading is derived from Peltier’s climate 283

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change model), thermal and chemical conditions, were used to simulate the effect of past 284

glaciations. Table 3 shows the BCs used in this study with reference to Figure 5. 285

286

6 Modeling Results and Discussions 287

288

6.1 Hydrogeological Response 289

290

The results show that the hydraulic response of a DGR system to future glaciation-291

deglaciation cycles follows the same sequence of advance/growth and retreat/decrease of 292

the ice sheet. Figure 9 shows the change in the water pressure induced by one glacial 293

cycle at a point within the repository (point A) and at a point within the limestone formation 294

at the same elevation (point B). The water pressure at those points shows a characteristic 295

poroleastic response as follows. The two water pressure peaks (approximately, 60 and 99 296

kaBP) occurred as a direct response to the peak surface loads imposed by the ice sheets 297

at the two peaks during the glacial cycle. Additionally, the hydraulic response of the rock 298

formations at the level of the repository have some memory of the previous peak surface 299

load, with water pressure returning (relatively) slowly to non-glacial conditions shortly after 300

each peak load (Figure 9). The rate of dissipation of the pressure depends mainly on the 301

permeability of the medium. Point A shows lower excess pore water pressure and faster 302

dissipation to hydrostatic conditions due to higher permeability, while point B shows higher 303

excess pressure due to lower permeability of the limestone formation as compared to the 304

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Page 16: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

repository rooms. Furthermore, after removal of the surface load, point B even shows an 305

underpressure compared to hydrostatic conditions. 306

Figure 10 shows the vertical profile of the pore water pressure with respect to seven 307

different time periods within the glacial cycles in comparison with the hydrostatic water 308

pressure profile. The profile line is located 1000 m away from the DGR location. The 309

results show an increase in the pore water pressure under loading (over-pressure with 310

respect to hydrostatic pressure) and decrease in pore water pressure under unloading 311

conditions (under-pressure with respect to hydrostatic pressure). This type of behaviour is 312

similar to the effects of past glaciations modelled by (Fall and Nasir 2011a) and Nasir et al. 313

(2011). 314

Figure 11, which represents the case of an effective shaft, shows the vertical profile of 315

pore water pressure along the axis of the DGR shaft with respect to the same time periods 316

as presented in Figure 10. For the effective shaft scenario, the glaciations lead to a 317

significant increase in the pore pressure within the shaft at depth of 200-700 m (zone of 318

interest for the DGR). 319

Figure 12 shows, for the case of a failed shaft seal, the pore water pressure distribution 320

and the Darcy flow direction within the DGR and the surrounding natural and engineered 321

barriers for four time periods. The periods of time presented are: initial conditions at time of 322

0 years, first peak at 60,000 years, second peak at 99,000 years and 106,000 years in the 323

future. By analysing Figure 10, it can be observed that during the glaciation events, the 324

study area shows an overpressure from a depth of 200 to 1000 m. This overpressure is 325

attributed to the load applied by the ice sheet and will affect the hydraulic gradient in the 326

study area, and thus the groundwater flow direction as shown in Figure 12. 327

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Figure 13, which represents the case of a severe shaft seal failure, shows the vertical 328

profile of pore water pressure along the axis of the DGR shaft with respect to the same 329

time periods as presented in Figure 10. It can be noticed that the glaciations do not lead to 330

a significant increase in the pore pressure within the shaft up to a depth of 700 m with a 331

water pressure close to the hydrostatic pressure. This behaviour can be attributed to the 332

quick release of both over and under pressures due to the high permeability (10-14 m2) of 333

the failed shaft seal. 334

335

6.2 Mechanical Response 336

337

The impact of ice mechanical loading and the hydraulic response of the host rock caused 338

significant changes in the effective stress. Figure 14 depicts the distribution of vertical 339

effective stress in the host rock, shaft and the proposed DGR. Again, it can be noted that 340

ice loading has a significant effect on the effective stress and its distribution. The ice load 341

induced changes in effective stresses that are not uniform. The magnitude of the change 342

depends on the depth and formations. The rock formations, the shaft and the repository 343

rooms have different response from one another due to different poroelastic responses 344

which are governed by their respective values of hydraulic conductivity and modulus of 345

elasticity. 346

The high effective stress around the edge of the DGR room can be attributed to the high 347

compressibility of the filling materials of the room. However, the extension of the high 348

effective stress is limited to 10 m and its impact is not significant to natural barrier 349

formations that are 200 m in thickness. 350

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Figure 15 shows the profile of the estimated factor of safety against mechanical failure by 351

using the Hoek-Brown failure criterion along a vertical line of 15 m on the left side of the 352

DGR room. The equation used for Hoek-Brown failure criterion is: 353

a

ci

ci smb

++=

σσ

σσσ 331

''' MMMMMMMMMMMMMMMMMMMMMMM..(5) 354

Where: σ’1 and σ’3 are the major and minor principle stresses; σci is the uniaxial 355

compressive strength (assumed here to be 20MPa for the Silurian formation); and mb, a 356

and s are empirical fitting constants. These constants were determined for the rock mass 357

using the Geological Strength Index (GSI) as per Hoek et al. (2002); GSI = 70 and mi = 7 358

were assumed for the Silurian formation (thus, mb∼2.41, a∼0.5 and s∼0.035). 359

360

The factor of safety is predicted by using the following equation: 361

F.of.S= σ1 of Hoek-Brown failure criterion / Predicted σ1. 362

363

Two profiles of factor of safety against mechanical failure are presented in Figure 15. For 364

one profile (red color), it is considered that the initial horizontal stress of σh = 1.5 σv is as 365

given by Lo (1978) and Zoback and Zoback (1980), whereas for the other profile (blue 366

color) a conservative initial value of σh ≈ σv was assumed. From Figure 15, it can be seen 367

that the primary natural barrier (450-650 m shale formation) has a factor of safety of more 368

than 1.5 and more against rock mass failure regardless of the selected σh/σv ratio. In 369

addition, the results show that the host rock formation at the level of the DGR has a factor 370

of safety higher than 3.0 regardless of the σh/σv ratio. 371

Figure 16 depicts the surface displacement under the impact of the two future glaciation 372

peaks. Two main episodes of loading-unloading, with peaks at approximately 60,000 and 373

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100,000 years, can be identified; each one is mainly characterized by the shape of the 374

surface loading with a maximum surface displacement of about 1.1 m. The downward 375

displacement primarily follows the time-varying loading of the ice sheet at the top 376

boundary. The displacement can be attributed to the mechanical deformation and 377

consolidation of the host rock and DGR system relative to the base of the model. 378

6.3 Solute Transport 379

380

In this work, the solute transport simulations are applied on a single chemical element 381

representing a hypothetical species released from the LILW waste with a concentration C 382

and four glaciation cycles are considered, i.e. simulations are performed for over 480,000 383

years. The modeling results are presented in terms of relative concentration (%) of the 384

element which is normalized by the initial concentration ( 1000

xC

C ; where Co is the initial 385

solute concentration at the DGR, C is the solute concentration at time (t). With respect to 386

the properties of the shaft, two cases are considered: (i) effective, and (ii) severe shaft seal 387

failure (worst case). The initial mechanical, hydraulic and thermal properties adopted for 388

the host rocks and the shaft (both cases) are already given in the previous sections and 389

the NWMO reports (NWMO, 2011A, 2011B, 2011C, and 2011D). 390

In this work, several numerical simulation results have been obtained. The results show 391

that the solute transport in natural limestone and shale barrier formations is dominated by 392

diffusion. The diffusion dominant solute transport in natural rock barriers (limestone and 393

shale formations) is determined to be not significantly sensitive to glaciation cycles. In 394

contrast, the results have shown that advective and diffusive transports both occur within 395

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the failed shaft seal and that the solute transport within the shaft is significantly influenced 396

by the ice loading cycles. 397

The primary simulation results are presented in Figures 17 and 18. These figures illustrate 398

the impact of the second peak of the four glaciation cycles for both effective and worst 399

cases, respectively. The time periods are: first glacial cycle at 100K years, second glacial 400

cycle at 220K years, third glacial cycle at 340K years and fourth glacial cycle at 460K 401

years. In each figure, the relative concentration (%) is presented for both the effective and 402

worst case scenarios. 403

It can be seen from Figure 17 that regardless of the number of glaciation cycles when the 404

shaft seal is intact (effective scenario), the migration of solute released from the horizon of 405

the proposed DGR will be limited and the solute will still remain in the natural shale barrier 406

layer. This is positive with regards to the safety of the DGR and may suggest that 407

limestone and shale formations act as very effective barriers with regards to radionuclide 408

transport. 409

In contrast, Figure 18 shows that if the shaft seal severely fails, contaminants could 410

potentially reach the shallow bedrock groundwater zone. These results suggest that the 411

long term effectiveness of the shaft seals has important implications to the safety of the 412

DGR. The longevity of shaft seals should be considered in future research programs. It is 413

worth to mention that in this work flow is density driven flow, in which, density is related to 414

the total dissolved solid concentration. However, the assumed hypothetical species 415

released from the LILW waste with a concentration at the level of the DGR is not 416

considered as a factor affecting the liquid density. We believe our assumption is 417

conservative, and this issue could be investigated in the future. 418

419

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7 Conclusions 420

Based on the results obtained from this work, the following conclusions can be drawn. 421

A numerical study for the THMC processes associated with future glaciation cycles in 422

sedimentary rocks in southern Ontario is conducted by taking into consideration the DGR 423

geometry. It is found that future glaciations will have a significant impact on the pore water 424

pressure gradient and effective stress distribution within both the sedimentary rocks and 425

the proposed DGR. It is also found that future ice loading will not lead to the failure or 426

fracturing of natural rock barrier (limestone, shale) formations. 427

The results obtained show that solute transport in natural limestone and shale barrier 428

formations is diffusion dominated transport; this conclusion is limited to the assumed 429

boundary conditions and could be affected by any potential permeable limestone 430

formations beyond the boundary of the investigated domain. Moreover, regardless of the 431

number of glaciations cycles, the migration of solute released from the horizon of the 432

proposed DGR will be limited and the solute will still remain in the natural shale barrier 433

layer. 434

In this work, it is found that in a shaft failure scenario, the solute transport within the failed 435

shaft will be controlled by diffusion and advection. The simulation results show that the 436

solute transported in the failed shaft can reach the shallow bedrock groundwater zone. It 437

should be noted, however, that the level of degradation of the shaft seals in that scenario 438

is rather extreme and thus could be considered as a bounding case (the scenario spans 439

220,000 years and requires a minimum of two glacial cycles). The main type of material for 440

shaft seals is a 30/70 bentonite/sand mixture and with proper quality control during 441

emplacement, its target permeability of 10-18 m2 should be achieved. An increase of the 442

permeability to 10-14 m2 would make this bentonite-sand mixture to be equivalent to a 443

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sandy silt material. Current research did not identify any plausible mechanical or chemical 444

processes that could trigger that type of degradation. Nevertheless, research programs on 445

longevity of shaft seals are currently very active, and include both laboratory and field tests 446

and mathematical modelling. The construction and operation of a repository would take 447

many decades and the shafts would only be sealed at the end of this period. It is 448

anticipated that the results of this research would provide sufficient information in order to 449

finalize the design of the shaft seals at the time of closure. 450

451

. 452

453

454

455

456

457

458

459

460

461

462

463

464

465

466

467

468

469

470

471

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472

473

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Page 25: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

NWMO., 2011D. Postclosure Safety Assessment: Features, Events and Processes. 518

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NWMO., 2011E. Postclosure Safety Assessment: Gas Modelling. Prepared by: Geofirma 520

Engineering Ltd and Quintessa Ltd, NWMO DGR-TR-2011-31. 521

Nguyen, T.S., Polischuk, V., Selvadurai, A.P.S., 1993. Effects of glaciation on the nuclear 522

fuel waste repository. In: Proceedings of the 46th annual Canadian Geotechnical 523

Conference, Saskatoon, Saskatchewan, Canada. 524

Peltier, W.R., 2008. Phase I long term climate change study. Supporting technical report. 525

OPG 00216-REP-01300-00004-R00. 526

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hydrogeologic interactions: a review. Geofluids, 12(1), 58-78. 528

Quintessa Ltd. and Geofirma Engineering Ltd., 2011. Postclosure Safety Assessment: 529

Data. Prepared by: Quintessa Ltd. and Geofirma Engineering Ltd. NWMO DGR-TR-530

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Vidstrand, P., Wallroth, T., & Ericsson, L.O., 2008. Coupled HM effects in a crystalline rock 542

mass due to glaciation: Indicative results from groundwater flow regimes and stresses 543

from an FEM study. Bulletin of Engineering Geology and the Environment, 67(2), 187-544

197. 545

Vugrinovich, R.,1989. Subsurface temperatures and surface heat flow in the Michigan 546

Basin and their relationships to regional subsurface fluid movement, Marine and 547

Petroleum Geology, Volume 6, Issue 1, Pages 60-70. 548

Zoback, M.L., Zoback, M., 1980. State of stress in the conterminuous United States. 549

Journal of Geophysical Research, 85 (B11), pp. 6113-6156. 550

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Page 27: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 1. Location of the Bruce nuclear site in Ontario where Ontario Power Generation (OPG)

proposes to locate the DGR (this figure was originally published by NWMO (2011A) and

modified from Johnson et al. (1992)).

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Page 28: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 2. Stratigraphy of sedimentary rock formation of the Michigan basin, showing the

locations of deep boreholes [NWMO, 2011C].

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Page 29: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 3. Proposed DGR layout (figure from NWMO (2011B)).

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Page 30: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 4. Simplified (equivalent volume) DGR geometry

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Page 31: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 5. Simplified DGR geometry used for modeling.

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Page 32: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 6. Finite element method (FEM) mesh discretization by using COMSOL mesh generation

(units in meters).

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Page 33: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 7. Initial conditions of relative solute concentrations

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Page 34: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 8. Ice sheet induced normal stresses with respect to run number nn9930 (data adopted

from Peltier (2008))

0

5

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Pa)

Present

Past

(Peltier, 2008)Future

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Page 35: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 9. Evolution of the pore water pressure at the DGR level.

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Page 36: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 10. Temporal evolution of the water pressure profile in the host rock (free draining

surface hydraulic conditions)

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Page 37: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 11. Temporal evolution of the water pressure profile along the shaft (hydraulic conditions

of free draining surface, effective shaft scenario)

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Page 38: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Page 38 of 48C

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Page 39: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 12. Temporal evolution of the pressure and flow direction in the study area (distance

given in meters and pressure in Pa); first peak at 60,000 years, 2nd peak at 99,000 years and

unloading at 106,000 years

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Page 40: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 13. Temporal evolution of the water pressure profile along the shaft (hydraulic conditions

of free draining surface, failed shaft seal scenario)

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Page 41: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 14. Predicted vertical effective stresses at different times during glaciation cycle.

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Page 42: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 15. Predicted factor of safety by using Hoek-Brown failure criterion.

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Page 43: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 16. Temporal evolution of mechanical surface displacement at the location of the study

area

-1.10

-1.00

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0 10 20 30 40 50 60 70 80 90 100 110 120

Time in the future (x1000 years)

Surf

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ispla

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)

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Page 44: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 17. Computed relative solute concentrations at the second ice loading peak for four

glaciations cycles (app. 100, 220, 340 and 460K years) in consideration of diffusion and

advection transport in a scenario with an effective shaft

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Page 45: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Figure 18. Computed relative solute concentrations at the second ice loading peak for four

glaciations cycles (app. 100, 220, 340 and 460K years) in consideration of diffusion and

advection transport for the worst case scenario with a failed shaft

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Page 46: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Table 1. Material properties of rock formations used in the modeling.

Subdomain

number

Rock

form

ation

Depth (m

)

Poisson's

ratio

Young's

modulus

(GPa)

Horizontal

hydraulic

conductivity

Kh (m/s)

Kh/Kv*

Therm

al

conductivity

W/(m.K)

Specific heat

capacity

J/(kg.K)

Diffusion

m2/s

1 Overburden Aquifer

0-20 0.2 10 8.0E-10 2:1 2 700 6.0E-10

2 Dolostone Aquifer 20-169.3

0.2 40 1.0E-5 10:1

2 700 8.0E-12

3 Silurian Aquifer 169.3-178.6

0.2 18 5.0E-12 10:1

2 700 1.0E-12

4 178.6-325.5

0.2 6 5.0E-12 10:1

2 700 1.0E-12

5 Silurian Aquifer 325.5-328.5

0.2 38 2.0E-7 1:1 2 700 7.0E-12

6 328.5-374.5

0.2 38 5.0E-12 10:1

2 700 1.0E-12

7 Silurian Aquifer 374.5-378.6

0.2 38 3.0E-8 1:1 2 700 3.0E-11

8 378.6-411

0.2 38 5.0E-12 10:1

2 700 1.0E-12

9 411-447.7

0.2 16 5.0E-12 10:1

2 700 1.0E-12

10 Ordovician shale 447.7-659.5

0.2 16 2.0E-14 10:1

2 700 1.0E-13

11 Ordovician limestone

659.5-688.1

0.2 39 1.0E-15 10:1

2 700 3.0E-13

12 688.1-762.0

0.2 24 1.0E-15 10:1

2 700 3.0E-13

13 Ordovician limestone

762.0-838.6

0.2 24 6.0E-12 100:1

2 700 3.0E-13

14 Cambrian 838.6-860.7

0.2 24 1.0E-7 1:1 2 700 1.0E-11

15 Precambrian >860.7 0.2 60 1.0E-11 1:1 1.375

700 3.0E-13

*: Kh: horizontal hydraulic conductivity, Kv: vertical hydraulic conductivity

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Page 47: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Table 2. Main properties of the shaft (worst case conditions for a failed shaft)

Hydraulic conductivity (m/s)

10-7

Permeability (m2) 10

-14

Density (kg/m3) 2500

Poisson’s ratio (-) 0.33

Modulus of elasticity (MPa)*

55

Porosity 0.5

Biot coefficient 0.9

*Alonso and Olivella, 2008

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Page 48: Modeling of the thermohydromechanical–chemical response of Ontario sedimentary rocks to future glaciations

Table 3. THMC boundary conditions used for simulation.

BCs BC 1 symmetric axis

BC 2 (Bottom) BC 3 (Side) BC 4 (Top)

Mechanical symmetric axis Fixed Roller Free deformation transient loading

a

Hydraulic symmetric axis No flow No flow Free drainage transient pressure

b

Chemical Co

symmetric axis 0 No solute flux 0

Thermal symmetric axis 33.7 C° No heat flux Transient temperaturec

a: transient loading is derived from Peltier’s climate change model b: transient pressure is taken differently as a fraction of ice loading derived from the climate change model c: transient temperature derived from Peltier’s climate change model

Page 48 of 48C

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