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A unified pore-network algorithm for dynamic two-phase flow

delete2016-09-01
delete31
PRE
AI
Q
Qiang Sheng
K
Karsten E. Thompson *
DOI:10.1016/j.advwatres.2015.12.010delete
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摘要

摘要

En 中文
This paper describes recent work on image-based network modeling of multiphase flow. The algorithm expands the range of flow scenarios and boundary conditions that can be implemented using dynamic network modeling, the most significant advance being the ability to model simultaneous injection of immiscible fluids under either transient or steady-state conditions using non-periodic domains. Pore-scale saturation distributions are solved rigorously from two-phase mass conservation equations simultaneously within each pore. Results show that simulations using a periodic network fail to track saturation history because periodic domains limit how the bulk saturation can evolve over time. In contrast, simulations using a non-periodic network with fractional flow as the boundary condition can account for behavior associated with both hysteresis and saturation history, and can capture phenomena such as the long pressure and saturation tails that are observed during dynamic drainage processes. Results include a sensitivity analysis of relative permeability to different model variables, which may provide insight into mechanisms for a variety of transient, viscous dominated flow processes. (C) 2015 Elsevier Ltd. All rights reserved.
Keyword:
Dynamic network model
Microtomography
Multiphase flow
Relative permeability
Fractional flow
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期刊

Advances in Water Resources 封面图
Advances in Water Resources
IF:
4.2
论文数:
4.6K
被引数:
1.5W

机构

L
louisiana state university system
学者数:
2.3W
论文数: 2.0W
被引数: 15
L
Louisiana State University
学者数:
9.8K
论文数: 8.0K
被引数: 1.6W
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