A two-stage adaptive stochastic collocation method on nested sparse grids for multiphase flow in randomly heterogeneous porous media
Abstract
A new computational method is proposed for efficient uncertainty quantification of multiphase flow in porous media with stochastic permeability. For pressure estimation, it combines the dimension-adaptive stochastic collocation method on Smolyak sparse grids and the Kronrod–Patterson–Hermite nested quadrature formulas. For saturation estimation, an additional stage is developed, in which the pressure and velocity samples are first generated by the sparse grid interpolation and then substituted into the transport equation to solve for the saturation samples, to address the low regularity problem of the saturation. Numerical examples are presented for multiphase flow with stochastic permeability fields to demonstrate accuracy and efficiency of the proposed two-stage adaptive stochastic collocation method on nested sparse grids.
- Authors:
-
- ERE & BIC-ESAT, College of Engineering, Peking University, Beijing (China)
- Department of Energy Resources Engineering, Stanford University, Stanford, CA (United States)
- Publication Date:
- OSTI Identifier:
- 22622250
- Resource Type:
- Journal Article
- Resource Relation:
- Journal Name: Journal of Computational Physics; Journal Volume: 330; Other Information: Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; ACCURACY; COMPUTERIZED SIMULATION; EFFICIENCY; INTERPOLATION; MULTIPHASE FLOW; PERMEABILITY; POROUS MATERIALS; QUADRATURES; RANDOMNESS; SATURATION; STOCHASTIC PROCESSES; VELOCITY
Citation Formats
Liao, Qinzhuo, E-mail: liaoqz@pku.edu.cn, Zhang, Dongxiao, and Tchelepi, Hamdi. A two-stage adaptive stochastic collocation method on nested sparse grids for multiphase flow in randomly heterogeneous porous media. United States: N. p., 2017.
Web. doi:10.1016/J.JCP.2016.10.061.
Liao, Qinzhuo, E-mail: liaoqz@pku.edu.cn, Zhang, Dongxiao, & Tchelepi, Hamdi. A two-stage adaptive stochastic collocation method on nested sparse grids for multiphase flow in randomly heterogeneous porous media. United States. doi:10.1016/J.JCP.2016.10.061.
Liao, Qinzhuo, E-mail: liaoqz@pku.edu.cn, Zhang, Dongxiao, and Tchelepi, Hamdi. Wed .
"A two-stage adaptive stochastic collocation method on nested sparse grids for multiphase flow in randomly heterogeneous porous media". United States.
doi:10.1016/J.JCP.2016.10.061.
@article{osti_22622250,
title = {A two-stage adaptive stochastic collocation method on nested sparse grids for multiphase flow in randomly heterogeneous porous media},
author = {Liao, Qinzhuo, E-mail: liaoqz@pku.edu.cn and Zhang, Dongxiao and Tchelepi, Hamdi},
abstractNote = {A new computational method is proposed for efficient uncertainty quantification of multiphase flow in porous media with stochastic permeability. For pressure estimation, it combines the dimension-adaptive stochastic collocation method on Smolyak sparse grids and the Kronrod–Patterson–Hermite nested quadrature formulas. For saturation estimation, an additional stage is developed, in which the pressure and velocity samples are first generated by the sparse grid interpolation and then substituted into the transport equation to solve for the saturation samples, to address the low regularity problem of the saturation. Numerical examples are presented for multiphase flow with stochastic permeability fields to demonstrate accuracy and efficiency of the proposed two-stage adaptive stochastic collocation method on nested sparse grids.},
doi = {10.1016/J.JCP.2016.10.061},
journal = {Journal of Computational Physics},
number = ,
volume = 330,
place = {United States},
year = {Wed Feb 01 00:00:00 EST 2017},
month = {Wed Feb 01 00:00:00 EST 2017}
}
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