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Title: Pore-scale and Continuum Simulations of Solute Transport Micromodel Benchmark Experiments

Abstract

Four sets of micromodel nonreactive solute transport experiments were conducted with flow velocity, grain diameter, pore-aspect ratio, and flow focusing heterogeneity as the variables. The data sets were offered to pore-scale modeling groups to test their simulators. Each set consisted of two learning experiments, for which all results was made available, and a challenge experiment, for which only the experimental description and base input parameters were provided. The experimental results showed a nonlinear dependence of the dispersion coefficient on the Peclet number, a negligible effect of the pore-aspect ratio on transverse mixing, and considerably enhanced mixing due to flow focusing. Five pore-scale models and one continuum-scale model were used to simulate the experiments. Of the pore-scale models, two used a pore-network (PN) method, two others are based on a lattice-Boltzmann (LB) approach, and one employed a computational fluid dynamics (CFD) technique. The learning experiments were used by the PN models to modify the standard perfect mixing approach in pore bodies into approaches to simulate the observed incomplete mixing. The LB and CFD models used these experiments to appropriately discretize the grid representations. The continuum model use published non-linear relations between transverse dispersion coefficients and Peclet numbers to compute the requiredmore » dispersivity input values. Comparisons between experimental and numerical results for the four challenge experiments show that all pore-scale models were all able to satisfactorily simulate the experiments. The continuum model underestimated the required dispersivity values and, resulting in less dispersion. The PN models were able to complete the simulations in a few minutes, whereas the direct models needed up to several days on supercomputers to resolve the more complex problems.« less

Authors:
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Publication Date:
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (US), Environmental Molecular Sciences Laboratory (EMSL)
Sponsoring Org.:
USDOE
OSTI Identifier:
1290391
Report Number(s):
PNNL-SA-100394
Journal ID: ISSN 1420-0597; 47657; KP1704020
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: Computational Geosciences; Journal Volume: 20; Journal Issue: 4
Country of Publication:
United States
Language:
English
Subject:
pore-scale modeling; micromodels; benchmark; Environmental Molecular Sciences Laboratory

Citation Formats

Oostrom, Martinus, Mehmani, Yashar, Romero Gomez, Pedro DJ, Tang, Y., Liu, H., Yoon, Hongkyu, Kang, Qinjun, Joekar Niasar, Vahid, Balhoff, Matthew, Dewers, T., Tartakovsky, Guzel D., Leist, Emily AE, Hess, Nancy J., Perkins, William A., Rakowski, Cynthia L., Richmond, Marshall C., Serkowski, John A., Werth, Charles J., Valocchi, Albert J., Wietsma, Thomas W., and Zhang, Changyong. Pore-scale and Continuum Simulations of Solute Transport Micromodel Benchmark Experiments. United States: N. p., 2016. Web. doi:10.1007/s10596-014-9424-0.
Oostrom, Martinus, Mehmani, Yashar, Romero Gomez, Pedro DJ, Tang, Y., Liu, H., Yoon, Hongkyu, Kang, Qinjun, Joekar Niasar, Vahid, Balhoff, Matthew, Dewers, T., Tartakovsky, Guzel D., Leist, Emily AE, Hess, Nancy J., Perkins, William A., Rakowski, Cynthia L., Richmond, Marshall C., Serkowski, John A., Werth, Charles J., Valocchi, Albert J., Wietsma, Thomas W., & Zhang, Changyong. Pore-scale and Continuum Simulations of Solute Transport Micromodel Benchmark Experiments. United States. doi:10.1007/s10596-014-9424-0.
Oostrom, Martinus, Mehmani, Yashar, Romero Gomez, Pedro DJ, Tang, Y., Liu, H., Yoon, Hongkyu, Kang, Qinjun, Joekar Niasar, Vahid, Balhoff, Matthew, Dewers, T., Tartakovsky, Guzel D., Leist, Emily AE, Hess, Nancy J., Perkins, William A., Rakowski, Cynthia L., Richmond, Marshall C., Serkowski, John A., Werth, Charles J., Valocchi, Albert J., Wietsma, Thomas W., and Zhang, Changyong. Mon . "Pore-scale and Continuum Simulations of Solute Transport Micromodel Benchmark Experiments". United States. doi:10.1007/s10596-014-9424-0.
@article{osti_1290391,
title = {Pore-scale and Continuum Simulations of Solute Transport Micromodel Benchmark Experiments},
author = {Oostrom, Martinus and Mehmani, Yashar and Romero Gomez, Pedro DJ and Tang, Y. and Liu, H. and Yoon, Hongkyu and Kang, Qinjun and Joekar Niasar, Vahid and Balhoff, Matthew and Dewers, T. and Tartakovsky, Guzel D. and Leist, Emily AE and Hess, Nancy J. and Perkins, William A. and Rakowski, Cynthia L. and Richmond, Marshall C. and Serkowski, John A. and Werth, Charles J. and Valocchi, Albert J. and Wietsma, Thomas W. and Zhang, Changyong},
abstractNote = {Four sets of micromodel nonreactive solute transport experiments were conducted with flow velocity, grain diameter, pore-aspect ratio, and flow focusing heterogeneity as the variables. The data sets were offered to pore-scale modeling groups to test their simulators. Each set consisted of two learning experiments, for which all results was made available, and a challenge experiment, for which only the experimental description and base input parameters were provided. The experimental results showed a nonlinear dependence of the dispersion coefficient on the Peclet number, a negligible effect of the pore-aspect ratio on transverse mixing, and considerably enhanced mixing due to flow focusing. Five pore-scale models and one continuum-scale model were used to simulate the experiments. Of the pore-scale models, two used a pore-network (PN) method, two others are based on a lattice-Boltzmann (LB) approach, and one employed a computational fluid dynamics (CFD) technique. The learning experiments were used by the PN models to modify the standard perfect mixing approach in pore bodies into approaches to simulate the observed incomplete mixing. The LB and CFD models used these experiments to appropriately discretize the grid representations. The continuum model use published non-linear relations between transverse dispersion coefficients and Peclet numbers to compute the required dispersivity input values. Comparisons between experimental and numerical results for the four challenge experiments show that all pore-scale models were all able to satisfactorily simulate the experiments. The continuum model underestimated the required dispersivity values and, resulting in less dispersion. The PN models were able to complete the simulations in a few minutes, whereas the direct models needed up to several days on supercomputers to resolve the more complex problems.},
doi = {10.1007/s10596-014-9424-0},
journal = {Computational Geosciences},
number = 4,
volume = 20,
place = {United States},
year = {Mon Aug 01 00:00:00 EDT 2016},
month = {Mon Aug 01 00:00:00 EDT 2016}
}