Fast high-resolution prediction of multi-phase flow in fractured formations

被引:2
|
作者
Pau, George Shu Heng [1 ]
Finsterle, Stefan [2 ]
Zhang, Yingqi [2 ]
机构
[1] Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Climate & Ecosyst Sci Div, 1 Cyclotron Rd, Berkeley, CA 94720 USA
[2] Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Energy Geosci Div, 1 Cyclotron Rd, Berkeley, CA 94720 USA
关键词
Multiphase flow; Fracture network; Reduced order model; Downscaling; PROPER ORTHOGONAL DECOMPOSITION; EMPIRICAL INTERPOLATION; MODEL-REDUCTION; DYNAMICS; OUTPUT; FLUID;
D O I
10.1016/j.advwatres.2015.12.008
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The success of a thermal water flood for enhanced oil recovery (EOR) depends on a detailed representation of the geometrical and hydraulic properties of the fracture network, which induces discrete, channelized flow behavior. The resulting high-resolution model is typically computationally very demanding. Here, we use the Proper Orthogonal Decomposition Mapping Method to reconstruct high-resolution solutions based on efficient low-resolution solutions. The method requires training a reduced order model (ROM) using high and low-resolution solutions determined for a relatively short simulation time. For a cyclic EOR operation, the oil production rate and the heterogeneous structure of the oil saturation are accurately reproduced even after 105 cycles, reducing the computational cost by at least 85%. The method described is general and can be potentially utilized with any multiphase flow model. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:80 / 85
页数:6
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