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Statistical continuum modeling of mass transport through fractured media, in two and three dimensions Parney, Robert Wyn
Abstract
The Statistical Continuum Method (SCM) provides a technique to model aqueous phase transport through a fractured rock mass at the field scale, while explicitly including the effects on transport of fracturing that are observed on the scale of a borehole or outcrop. The SCM approach models mass transport in two stages: (1) particles are first "educated" in a subdomain consisting of multiple discrete networks in order to capture the range of motion possible within a fracture system; and (2) particles are then moved in a random-walk through a larger continuum, obeying the range of motion "learned" within the subdomain. The use of discrete networks allows particle movements in the SCM continuum to honor the particle motion that occurs in the discrete subdomain, without the fundamental changes in the nature of the transport process necessary in most continuum approximations. The use of the continuum permits these movements to be extended into domains significantly larger or more complex than those that can be modeled by conventional discrete network simulations. The key element in the SCM method is the determination of the most appropriate methods for translating the motion of particles in the discrete subdomain into a set of statistical distributions that are then sampled in the continuum. To evaluate the effectiveness of the SCM approach the evolution of spatial moments through time for SCM models are compared with the evolution of moments for equivalent discrete network models. The SCM method is capable of reproducing mass transport in two and three-dimensional discrete fracture networks, as evidenced by the match between the trends in spatial moments through time for the discrete network and the spatial moments for the SCM model. A number of SCM modeling approaches produce moment values within one standard deviation of the average of the network realizations, although no one model works best for all fracture systems.
Item Metadata
Title |
Statistical continuum modeling of mass transport through fractured media, in two and three dimensions
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
1999
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Description |
The Statistical Continuum Method (SCM) provides a technique to model aqueous
phase transport through a fractured rock mass at the field scale, while explicitly including the
effects on transport of fracturing that are observed on the scale of a borehole or outcrop. The
SCM approach models mass transport in two stages: (1) particles are first "educated" in a
subdomain consisting of multiple discrete networks in order to capture the range of motion
possible within a fracture system; and (2) particles are then moved in a random-walk through
a larger continuum, obeying the range of motion "learned" within the subdomain. The use of
discrete networks allows particle movements in the SCM continuum to honor the particle
motion that occurs in the discrete subdomain, without the fundamental changes in the nature
of the transport process necessary in most continuum approximations. The use of the
continuum permits these movements to be extended into domains significantly larger or more
complex than those that can be modeled by conventional discrete network simulations. The
key element in the SCM method is the determination of the most appropriate methods for
translating the motion of particles in the discrete subdomain into a set of statistical
distributions that are then sampled in the continuum. To evaluate the effectiveness of the
SCM approach the evolution of spatial moments through time for SCM models are compared
with the evolution of moments for equivalent discrete network models. The SCM method is
capable of reproducing mass transport in two and three-dimensional discrete fracture
networks, as evidenced by the match between the trends in spatial moments through time for
the discrete network and the spatial moments for the SCM model. A number of SCM
modeling approaches produce moment values within one standard deviation of the average of
the network realizations, although no one model works best for all fracture systems.
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Extent |
13081830 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-07-02
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0089247
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
1999-11
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.