scholarly journals Transport parameter estimation in homogeneous and two-layered porous media using two different methods: genetic algorithm and image analysis

Author(s):  
K. Inoue ◽  
I. Masaki ◽  
Y. Shimada ◽  
T. Tanaka
2018 ◽  
Vol 644 ◽  
pp. 1536-1546 ◽  
Author(s):  
Xiuyu Liang ◽  
Hongbin Zhan ◽  
Jin Liu ◽  
Guiming Dong ◽  
You-Kuan Zhang

AIChE Journal ◽  
2009 ◽  
Vol 55 (8) ◽  
pp. 1959-1968 ◽  
Author(s):  
Samer Majdalani ◽  
Marwan Fahs ◽  
Jérôme Carrayrou ◽  
Philippe Ackerer

2011 ◽  
Vol 14 (9) ◽  
pp. 761-776 ◽  
Author(s):  
Hamid Emami Meybodi ◽  
Riyaz Kharrat ◽  
Benyamin Yadali Jamaloei

2021 ◽  
Vol 11 (8) ◽  
pp. 3421
Author(s):  
Cheng-Yu Ku ◽  
Li-Dan Hong ◽  
Chih-Yu Liu ◽  
Jing-En Xiao ◽  
Wei-Po Huang

In this study, we developed a novel boundary-type meshless approach for dealing with two-dimensional transient flows in heterogeneous layered porous media. The novelty of the proposed method is that we derived the Trefftz space–time basis function for the two-dimensional diffusion equation in layered porous media in the space–time domain. The continuity conditions at the interface of the subdomains were satisfied in terms of the domain decomposition method. Numerical solutions were approximated based on the superposition principle utilizing the space–time basis functions of the governing equation. Using the space–time collocation scheme, the numerical solutions of the problem were solved with boundary and initial data assigned on the space–time boundaries, which combined spatial and temporal discretizations in the space–time manifold. Accordingly, the transient flows through the heterogeneous layered porous media in the space–time domain could be solved without using a time-marching scheme. Numerical examples and a convergence analysis were carried out to validate the accuracy and the stability of the method. The results illustrate that an excellent agreement with the analytical solution was obtained. Additionally, the proposed method was relatively simple because we only needed to deal with the boundary data, even for the problems in the heterogeneous layered porous media. Finally, when compared with the conventional time-marching scheme, highly accurate solutions were obtained and the error accumulation from the time-marching scheme was avoided.


2010 ◽  
Vol 108 (1) ◽  
pp. 014909 ◽  
Author(s):  
Z. E. A Fellah ◽  
N. Sebaa ◽  
M. Fellah ◽  
F. G. Mitri ◽  
E. Ogam ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
An Liu ◽  
Erwie Zahara ◽  
Ming-Ta Yang

Ordinary differential equations usefully describe the behavior of a wide range of dynamic physical systems. The particle swarm optimization (PSO) method has been considered an effective tool for solving the engineering optimization problems for ordinary differential equations. This paper proposes a modified hybrid Nelder-Mead simplex search and particle swarm optimization (M-NM-PSO) method for solving parameter estimation problems. The M-NM-PSO method improves the efficiency of the PSO method and the conventional NM-PSO method by rapid convergence and better objective function value. Studies are made for three well-known cases, and the solutions of the M-NM-PSO method are compared with those by other methods published in the literature. The results demonstrate that the proposed M-NM-PSO method yields better estimation results than those obtained by the genetic algorithm, the modified genetic algorithm (real-coded GA (RCGA)), the conventional particle swarm optimization (PSO) method, and the conventional NM-PSO method.


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