Read an overview of the project

HYDROFRAME :
Hydromechanical and Biogeochemical Processes in
Fractured Rock Masses in the Vicinity of a Geological
Disposal Facility for Radioactive Waste
PI: Robert W. Zimmerman
Imperial College London
Overview of Project
The project will consist of six complementary work packages, which are linked to
each other in most cases through shared data and overlapping supervision of
PhD students.
Overall, the project addresses two scientific areas that were prioritised in the
RATE call:
Technological innovation for rock mass characterisation at a range of spatial
scales,
Biogeochemical coupling, including deep multiphase transport processes,
along with Capacity Building
The project will involve three UK universities (Imperial College, University of
Birmingham, University of Leeds), as well as collaborators from several academic
and research institutions in the US and Europe.
Participating Institutions
Lead Institution:
Imperial College London
Co-Investigating institutions:
University of Birmingham
University of Leeds
Partner Institutions/Organisations:
MCM International
NAGRA (Swiss Nuclear Waste Management Organisation)
Natural History Museum
Stanford University
Lawrence Berkeley National Laboratory
Investigators and Collaborators
Principal Investigator:
Prof. Robert Zimmerman (ICL)
Work-Package Leaders:
Dr Doug Angus (Leeds)
Dr Alan Herbert (Birmingham)
Dr Mark Hildyard (Leeds)
Dr John-Paul Latham (ICL)
Dr Dominik Weiss (ICL)
Prof. Robert Zimmerman (ICL)
Other investigators:
Prof. Martin Blunt (ICL)
Prof. John Cosgrove (ICL)
Prof. Chris Pain (ICL)
Prof. Graham Stuart (Leeds)
Collaborators:
Prof. Kate Maher (Stanford)
Dr Chin-Fu Tsang (LBNL)
Dr Javier Cuadros (NHM)
Prof. Alan Hooper (AH Consulting)
Work Package 1: Hydraulic transmissivity of geologically
realistic fracture networks
Predicted (x-axis) vs. numerical (y-axis)
transmissivities (m2) of 2D fracture networks;
from C.T.O. Leung and R.W. Zimmerman,
“Estimating the hydraulic conductivity of twodimensional fracture networks”, Transport in
Porous Media, 2012.
Methodology developed in EPSRC/NDA Case
studentship (2009-2102) will be extended to apply to
geologically realistic, three-dimensional networks.
Above: fracture pavement, Bristol Channel coast;
from J.W. Cosgrove, “Structural geology
understanding of rock fractures for improved rock
mechanics characterization”, Proc. Int. Cong. Rock
Mech., Lisbon, 2009.
Work Package 2: Integrated seismic and thermo-hydromechanics for time-lapse monitoring of repository sites
AECL URL underground access tunnel
Specific objectives:
•  Explore suitable seismic monitoring
strategies
•  Assess monitoring techniques key
for observing deformation and
stress changes
•  Develop calibration methodology to
link models with observation
•  Develop data processing
methodologies
•  Enhance measurement of induced
seismic anisotropy
•  Quantify stress evolution and
deformation
Expected outcomes:
•  Develop integrated seismic and
geomechanical workflow for nuclear
repository applications
•  Advance 4D and microseismic
monitoring strategies for risk reduction
Angus (1998)
Observed induced microseismicity
Geomechanical
stress predictions
Start
6
x 10
vp (km/s)
4.44
6.068
6.066
Finish
6
x 10
vp (km/s)
4.44
6.068
6.066
6.064
Difference
6
x 10
6vp (km/s)
6.068
0.07
6.066
4.42
4.42
6.064
6.064
0.06
4.4
6.062
4.4
6.062
6.062
0.05
4.38
6.06
Vp
6.058
4.38
6.06
6.058
4.36
6.056
6.056
4.34
6.054
0.04
6.058
4.36
6.056
6.06
0.03
4.34
6.054
6.054
0.02
6.052
4.32
6.052
4.32
6.052
0.01
6.05
6.05
6.05
4.3
6.048
6.048
7.06
7.08
7.1
7.12
7.14
7.16
7.18
6.048
7.06
5
6
x 10
7.08
7.1
7.12
7.14
7.16
7.18
7.06
5
x 10
6.068
x 10
7.08
7.1
7.12
7.14
7.16
0
7.18
vs (km/s)
6.066
6
x 10
6.068
vs (km/s)
2.52
6.066
2.5
6.064
5
x 10
Time-lapse velocity predictions
2.52
6
x 10
6vs (km/s)
6.068
6.066
0.07
2.5
6.064
6.064
0.06
6.062
2.48
6.062
2.48
6.062
0.05
6.06
Vs
6.06
2.46
6.058
Microseismic predictions
4.3
6.06
2.46
6.058
6.058
0.04
Angus et al. (2010)
Work Package 3: Seismic forward modelling of fracture
response to inform survey design for repositories
Specific objectives:
• 
Use models of discrete fracture networks to
explore seismic attributes diagnostic of fracture
properties
• 
Use fracture models to design acquisition
strategies that enhance observations of fracture
systems
Expected outcomes:
• 
New understanding that isolates responses of
specific fracture properties
• 
New understanding for decoupling fracture
properties from measurable seismic attributes
• 
Acquisition strategies optimised for nuclear
repository applications
• 
Quantified performance of inversions through
application to known fracture sets
Influence of stress on waves through fractures
Work Package 4: Hydro-thermo-mechanical and fracturing
processes in fractured rocks around a repository
•  Develop a highly accuracy discrete
fracture and matrix flow model that
incorporates mesh refinement within
realistic 3D fracture networks, and
includes fracture-matrix coupling
•  At the <1 m scale, apply 3D modelling to
study fracture tip behaviour and fracture
coalescence
•  At the 1-10 m scale, apply 3D fracture
modelling and alternative network creation
methods to generate fully 3D fracture and
matrix models to study geomechanically
driven 3D flow behaviour
•  Develop thermal modelling so that the
effects of radioactive decay heating, in
both near-field and far-field of the
repository, can be determined
Work Package 5: Modelling of transport in fractures from
tests performed at Grimsel
Need to develop an understanding of radionuclide migration processes
Flow geometry
•  non-Fickian dispersive processes
Fracture modification
•  mechanical coupling
•  chemical alteration
Matrix diffusion
Sorption and chemical processes
Colloid migration (and biological coupling)
•  fast migration paths
•  filtration and flow restriction
•  kinetics
http://www.grimsel.com/gts-phase-v/crr/crr-introduction
Work Package 6: Do microbes and natural organic matter
lead to increased actinide mobility in fractured rocks?
Adsorption and redox state are key parameters
controlling mobility of actinides in fractured
rocks. Both of these parameters are strongly
affected by the presence of microbes and
natural organic matter
Key deliverables
•  Detailed quantitative and qualitative
understanding of sorption processes and extent of
retention and effect of organic matter
•  Tested reactive transport model adjusted for
potential nuclear sites in the UK