TY - JOUR
T1 - Discrete-fracture-model of multi–scale time-splitting two–phase flow including nanoparticles transport in fractured porous media
AU - El-Amin, Mohamed
AU - Kou, Jisheng
AU - Sun, Shuyu
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The first author is thankful to the Effat University Deanship of Graduate Studies and Research for providing the financial support through internal research grants system, Decision No. UC#8/30.APR.2017/10.2-30(F).
PY - 2017/11/23
Y1 - 2017/11/23
N2 - In this article, we consider a two-phase immiscible incompressible flow including nanoparticles transport in fractured heterogeneous porous media. The system of the governing equations consists of water saturation, Darcy’s law, nanoparticles concentration in water, deposited nanoparticles concentration on the pore-wall, and entrapped nanoparticles concentration in the pore-throat, as well as, porosity and permeability variation due to the nanoparticles deposition/entrapment on/in the pores. The discrete-fracture model (DFM) is used to describe the flow and transport in fractured porous media. Moreover, multiscale time-splitting strategy has been employed to manage different time-step sizes for different physics, such as saturation, concentration, etc. Numerical examples are provided to demonstrate the efficiency of the proposed multi-scale time splitting approach.
AB - In this article, we consider a two-phase immiscible incompressible flow including nanoparticles transport in fractured heterogeneous porous media. The system of the governing equations consists of water saturation, Darcy’s law, nanoparticles concentration in water, deposited nanoparticles concentration on the pore-wall, and entrapped nanoparticles concentration in the pore-throat, as well as, porosity and permeability variation due to the nanoparticles deposition/entrapment on/in the pores. The discrete-fracture model (DFM) is used to describe the flow and transport in fractured porous media. Moreover, multiscale time-splitting strategy has been employed to manage different time-step sizes for different physics, such as saturation, concentration, etc. Numerical examples are provided to demonstrate the efficiency of the proposed multi-scale time splitting approach.
UR - http://hdl.handle.net/10754/626227
UR - http://www.sciencedirect.com/science/article/pii/S037704271730568X
UR - http://www.scopus.com/inward/record.url?scp=85036456666&partnerID=8YFLogxK
U2 - 10.1016/j.cam.2017.11.008
DO - 10.1016/j.cam.2017.11.008
M3 - Article
SN - 0377-0427
VL - 333
SP - 327
EP - 349
JO - Journal of Computational and Applied Mathematics
JF - Journal of Computational and Applied Mathematics
ER -