Multi-rate mass transfer modeling of two-phase flow in highly heterogeneous fractured and porous media

被引:26
作者
Tecklenburg, Jan [1 ]
Neuweiler, Insa [1 ]
Carrera, Jesus [2 ]
Dentz, Marco [2 ]
机构
[1] Leibniz Univ Hannover, Inst Fluid Mech Civil Engn, D-30167 Hannover, Germany
[2] Spanish Council Sci Res CSIC, Inst Environm Assessment & Water Res IDAEA, Barcelona, Spain
基金
欧洲研究理事会;
关键词
Multi-rate mass-transfer models; Two-phase flow; Dual-porosity; Fracture networks; Memory function; Process time scales; WATER/OIL/GAS TRANSFER-FUNCTIONS; SPONTANEOUS IMBIBITION; IMMISCIBLE DISPLACEMENT; DOUBLE-POROSITY; PORE-SCALE; PROPER USE; WATER-WET; RESERVOIRS; TRANSPORT; SIMULATION;
D O I
10.1016/j.advwatres.2016.02.010
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
We study modeling of two-phase flow in highly heterogeneous fractured and porous media. The flow behaviour is strongly influenced by mass transfer between a highly permeable (mobile) fracture domain and less permeable (immobile) matrix blocks. We quantify the effective two-phase flow behavior using a multirate rate mass transfer (MRMT) approach. We discuss the range of applicability of the MRMT approach in terms of the pertinent viscous and capillary diffusion time scales. We scrutinize the linearization of capillary diffusion in the immobile regions, which allows for the formulation of MRMT in the form of a non-local single equation model. The global memory function, which encodes mass transfer between the mobile and the immobile regions, is at the center of this method. We propose two methods to estimate the global memory function for a fracture network with given fracture and matrix geometry. Both employ a scaling approach based on the known local memory function for a given immobile region. With the first method, the local memory function is calculated numerically, while the second one employs a parametric memory function in form of truncated power-law. The developed concepts are applied and tested for fracture networks of different complexity. We find that both physically based parameter estimation methods for the global memory function provide predictive MRMT approaches for the description of multiphase flow in highly heterogeneous porous media. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:63 / 77
页数:15
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