Computational methods for reactive transport modeling: A Gibbs energy minimization approach for multiphase equilibrium calculations

被引:35
作者
Leal, Allan M. M. [1 ]
Kulik, Dmitrii A. [1 ]
Kosakowski, Georg [1 ]
机构
[1] Paul Scherrer Inst, Lab Waste Managemenet, Nucl Energy & Safety Res Dept, CH-5232 Villigen, Switzerland
关键词
Reactive transport modeling; Chemical equilibrium; Gibbs energy minimization; Geochemical modeling; PARTIAL MOLAL PROPERTIES; HIGH-PRESSURES; THERMODYNAMIC PROPERTIES; CHEMICAL-EQUILIBRIUM; GEOCHEMICAL SYSTEMS; NUMERICAL-METHOD; TEMPERATURES; SIMULATION; PREDICTION; PACKAGE;
D O I
10.1016/j.advwatres.2015.11.021
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 present a numerical method for multiphase chemical equilibrium calculations based on a Gibbs energy minimization approach. The method can accurately and efficiently determine the stable phase assemblage at equilibrium independently of the type of phases and species that constitute the chemical system. We have successfully applied our chemical equilibrium algorithm in reactive transport simulations to demonstrate its effective use in computationally intensive applications. We used FEniCS to solve the governing partial differential equations of mass transport in porous media using finite element methods in unstructured meshes. Our equilibrium calculations were benchmarked with GEMS3K, the numerical kernel of the geochemical package GEMS. This allowed us to compare our results with a well-established Gibbs energy minimization algorithm, as well as theft performance on every mesh node, at every time step of the transport simulation. The benchmark shows that our novel chemical equilibrium algorithm is accurate, robust, and efficient for reactive transport applications, and it is an improvement over the Gibbs energy minimization algorithm used in GEMS3K. The proposed chemical equilibrium method has been implemented in Reaktoro, a unified framework for modeling chemically reactive systems, which is now used as an alternative numerical kernel of GEMS. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:231 / 240
页数:10
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