Details
| Original language | English |
|---|---|
| Pages (from-to) | 63-77 |
| Number of pages | 15 |
| Journal | Advances in water resources |
| Volume | 91 |
| Publication status | Published - 28 Mar 2016 |
Abstract
We study modeling of two-phase flow in highly heterogeneous fractured and porous media. The flow behaviour is strongly influenced by mass transfer between a highly permeable (mobile) fracture domain and less permeable (immobile) matrix blocks. We quantify the effective two-phase flow behavior using a multirate rate mass transfer (MRMT) approach. We discuss the range of applicability of the MRMT approach in terms of the pertinent viscous and capillary diffusion time scales. We scrutinize the linearization of capillary diffusion in the immobile regions, which allows for the formulation of MRMT in the form of a non-local single equation model. The global memory function, which encodes mass transfer between the mobile and the immobile regions, is at the center of this method. We propose two methods to estimate the global memory function for a fracture network with given fracture and matrix geometry. Both employ a scaling approach based on the known local memory function for a given immobile region. With the first method, the local memory function is calculated numerically, while the second one employs a parametric memory function in form of truncated power-law. The developed concepts are applied and tested for fracture networks of different complexity. We find that both physically based parameter estimation methods for the global memory function provide predictive MRMT approaches for the description of multiphase flow in highly heterogeneous porous media.
Keywords
- Dual-porosity, Fracture networks, Memory function, Multi-rate mass-transfer models, Process time scales, Two-phase flow
ASJC Scopus subject areas
- Environmental Science(all)
- Water Science and Technology
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In: Advances in water resources, Vol. 91, 28.03.2016, p. 63-77.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Multi-rate mass transfer modeling of two-phase flow in highly heterogeneous fractured and porous media
AU - Tecklenburg, Jan
AU - Neuweiler, Insa
AU - Carrera, Jesus
AU - Dentz, Marco
N1 - Funding information: This work was supported by the compute cluster, which is funded by the Leibniz University Hanover, the Lower Saxony Ministry of Science and Culture (MWK) and by the German Research Association (DFG) under the grant NE 824 10–1 . We gratefully acknowledge the help of Bernd Flemisch from the University of Stuttgart with the Dumux model. M.D. acknowledges the funding from the European Research Council through the project MHetScale (Grant agreement no. 617511 ).
PY - 2016/3/28
Y1 - 2016/3/28
N2 - We study modeling of two-phase flow in highly heterogeneous fractured and porous media. The flow behaviour is strongly influenced by mass transfer between a highly permeable (mobile) fracture domain and less permeable (immobile) matrix blocks. We quantify the effective two-phase flow behavior using a multirate rate mass transfer (MRMT) approach. We discuss the range of applicability of the MRMT approach in terms of the pertinent viscous and capillary diffusion time scales. We scrutinize the linearization of capillary diffusion in the immobile regions, which allows for the formulation of MRMT in the form of a non-local single equation model. The global memory function, which encodes mass transfer between the mobile and the immobile regions, is at the center of this method. We propose two methods to estimate the global memory function for a fracture network with given fracture and matrix geometry. Both employ a scaling approach based on the known local memory function for a given immobile region. With the first method, the local memory function is calculated numerically, while the second one employs a parametric memory function in form of truncated power-law. The developed concepts are applied and tested for fracture networks of different complexity. We find that both physically based parameter estimation methods for the global memory function provide predictive MRMT approaches for the description of multiphase flow in highly heterogeneous porous media.
AB - We study modeling of two-phase flow in highly heterogeneous fractured and porous media. The flow behaviour is strongly influenced by mass transfer between a highly permeable (mobile) fracture domain and less permeable (immobile) matrix blocks. We quantify the effective two-phase flow behavior using a multirate rate mass transfer (MRMT) approach. We discuss the range of applicability of the MRMT approach in terms of the pertinent viscous and capillary diffusion time scales. We scrutinize the linearization of capillary diffusion in the immobile regions, which allows for the formulation of MRMT in the form of a non-local single equation model. The global memory function, which encodes mass transfer between the mobile and the immobile regions, is at the center of this method. We propose two methods to estimate the global memory function for a fracture network with given fracture and matrix geometry. Both employ a scaling approach based on the known local memory function for a given immobile region. With the first method, the local memory function is calculated numerically, while the second one employs a parametric memory function in form of truncated power-law. The developed concepts are applied and tested for fracture networks of different complexity. We find that both physically based parameter estimation methods for the global memory function provide predictive MRMT approaches for the description of multiphase flow in highly heterogeneous porous media.
KW - Dual-porosity
KW - Fracture networks
KW - Memory function
KW - Multi-rate mass-transfer models
KW - Process time scales
KW - Two-phase flow
UR - http://www.scopus.com/inward/record.url?scp=84961641144&partnerID=8YFLogxK
U2 - 10.1016/j.advwatres.2016.02.010
DO - 10.1016/j.advwatres.2016.02.010
M3 - Article
AN - SCOPUS:84961641144
VL - 91
SP - 63
EP - 77
JO - Advances in water resources
JF - Advances in water resources
SN - 0309-1708
ER -