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Used Fuel Disposition Campaign
Preliminary results on comparing
conceptual approach of
DFN (LANL) and FCM (SNL) models
Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of
Lockheed Martin Corporation, for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-AC04-
94AL85000. SAND2016-nnnnn
Hari Viswanathan, Nataliia Makedonska, Satish Karra,
Jeffrey Hyman
Los Alamos National Laboratory
Hadgu Teklu, Elena Kalinina, Yifeng Wang, Emily Stein
Sandia National Laboratories
2016 UFDC Annual Working Group Meeting
Session, June, 2016 Las Vegas, NV
Used
Fuel
Disposition
2
DFN model
Discrete Fracture Network Fractured Continuum Model
Discrete Fracture Network Model generates fracture networks similar to those observed on
natural sites using site fracture characteristics.
DFN undertakes fracture percolation between boundary faces of the simulation domain.
DFN provides all necessary information for FCM for the transport and flow comparison.
Used
Fuel
Disposition
DFNWorks
3
 dfnGen
– Network
Generation using
FRAM
 dfnFlow
– Flow simulation
using PFLOTRAN
 dfnTrans
– Lagrangian
Transport using
a modification of
WALKABOUT
Used
Fuel
Disposition
Step 1:
Generate Fracture Networks using
DFNWorks
 Three fracture sets are generated based on Forsmark site fracture
characteristics (Table 6-75 SKB report TR10-52)
 Fracture transmissivity is defined as function of fracture size
 Fracture aperture is correlated to fracture size and calculated from
transmissivity using cubic law
4
Used
Fuel
Disposition
5
Step 1:
Generate Fracture Networks using
DFNWorks
Example of DFN realization
Statistical distributions of fracture network:
Fracture Size
Fracture
Aperture
Fracture
Permeability
Used
Fuel
Disposition
Step 2:
Mapping DFN into Continuum
6
Used
Fuel
Disposition
Step 2:
Mapping DFN into Continuum
7
• The fracture network structure of
the DFN is mapped into regular
voxel mesh.
• Each voxel in the hexahedral
mesh has dimensions of 10 m.
• The list of fractures intersecting
each voxel is created and passed
to FCM team.
• DFN team proceeds with DFN.
Used
Fuel
Disposition
Step 3:
Steady State Flow Solution,
PFLOTRAN
8
Flow direction:
West-East
Pressure gradient:
103 Pa
Compare Effective Permeability
of DFNs and FCM:
Effective permeability
of 5 realizations is in the range:
DFN 3.347 e-17 – 4.242 e-17 m2
FCM 3.68 e-17 – 4.67 e-17 m2
SUCCESS !
Used
Fuel
Disposition
Step 4:
Modeling Transport Using
Lagrangian Particle Tracking
9
3000 particles
trajectories colored by
their travel time
in log scale
Used
Fuel
Disposition
10
Step 4:
Modeling Transport Using
Lagrangian Particle Tracking
Breakthrough curves of 5 independent
DFN realizations with similar
characteristics.
250.000 particles contribute to each BTC.
Used
Fuel
Disposition
Future Steps
 Compare BTC with transport results of FCM model
 Expect differences due to presence of matrix diffusion in FCM
model
 Estimate the contribution of matrix diffusion and other
processes in interface between fractures surface and rock
matrix.
11

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38 june 8 june 8_comparison of descrete fracture network and fractured continuum modeling approaches for simulating flow and transport through_viswanathan

  • 1. Used Fuel Disposition Campaign Preliminary results on comparing conceptual approach of DFN (LANL) and FCM (SNL) models Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-AC04- 94AL85000. SAND2016-nnnnn Hari Viswanathan, Nataliia Makedonska, Satish Karra, Jeffrey Hyman Los Alamos National Laboratory Hadgu Teklu, Elena Kalinina, Yifeng Wang, Emily Stein Sandia National Laboratories 2016 UFDC Annual Working Group Meeting Session, June, 2016 Las Vegas, NV
  • 2. Used Fuel Disposition 2 DFN model Discrete Fracture Network Fractured Continuum Model Discrete Fracture Network Model generates fracture networks similar to those observed on natural sites using site fracture characteristics. DFN undertakes fracture percolation between boundary faces of the simulation domain. DFN provides all necessary information for FCM for the transport and flow comparison.
  • 3. Used Fuel Disposition DFNWorks 3  dfnGen – Network Generation using FRAM  dfnFlow – Flow simulation using PFLOTRAN  dfnTrans – Lagrangian Transport using a modification of WALKABOUT
  • 4. Used Fuel Disposition Step 1: Generate Fracture Networks using DFNWorks  Three fracture sets are generated based on Forsmark site fracture characteristics (Table 6-75 SKB report TR10-52)  Fracture transmissivity is defined as function of fracture size  Fracture aperture is correlated to fracture size and calculated from transmissivity using cubic law 4
  • 5. Used Fuel Disposition 5 Step 1: Generate Fracture Networks using DFNWorks Example of DFN realization Statistical distributions of fracture network: Fracture Size Fracture Aperture Fracture Permeability
  • 7. Used Fuel Disposition Step 2: Mapping DFN into Continuum 7 • The fracture network structure of the DFN is mapped into regular voxel mesh. • Each voxel in the hexahedral mesh has dimensions of 10 m. • The list of fractures intersecting each voxel is created and passed to FCM team. • DFN team proceeds with DFN.
  • 8. Used Fuel Disposition Step 3: Steady State Flow Solution, PFLOTRAN 8 Flow direction: West-East Pressure gradient: 103 Pa Compare Effective Permeability of DFNs and FCM: Effective permeability of 5 realizations is in the range: DFN 3.347 e-17 – 4.242 e-17 m2 FCM 3.68 e-17 – 4.67 e-17 m2 SUCCESS !
  • 9. Used Fuel Disposition Step 4: Modeling Transport Using Lagrangian Particle Tracking 9 3000 particles trajectories colored by their travel time in log scale
  • 10. Used Fuel Disposition 10 Step 4: Modeling Transport Using Lagrangian Particle Tracking Breakthrough curves of 5 independent DFN realizations with similar characteristics. 250.000 particles contribute to each BTC.
  • 11. Used Fuel Disposition Future Steps  Compare BTC with transport results of FCM model  Expect differences due to presence of matrix diffusion in FCM model  Estimate the contribution of matrix diffusion and other processes in interface between fractures surface and rock matrix. 11