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

2006 ◽  
Author(s):  
K. Inoue ◽  
I. Masaki ◽  
Y. Shimada ◽  
T. Tanaka
Keyword(s):  
Genetic Algorithm ◽  
Porous Media ◽  
Image Analysis ◽  
Parameter Estimation ◽  
Transport Parameter ◽  
Layered Porous Media

A simple method of transport parameter estimation for slug injecting tracer tests in porous media

2018 ◽  
Vol 644 ◽  
pp. 1536-1546 ◽  
Author(s):  
Xiuyu Liang ◽  
Hongbin Zhan ◽  
Jin Liu ◽  
Guiming Dong ◽  
You-Kuan Zhang
Keyword(s):  
Porous Media ◽  
Parameter Estimation ◽  
Tracer Tests ◽  
Transport Parameter ◽  
Simple Method

Reactive transport parameter estimation: Genetic algorithm vs. Monte carlo approach

AIChE Journal ◽  
2009 ◽  
Vol 55 (8) ◽  
pp. 1959-1968 ◽  
Author(s):  
Samer Majdalani ◽  
Marwan Fahs ◽  
Jérôme Carrayrou ◽  
Philippe Ackerer
Keyword(s):  
Genetic Algorithm ◽  
Monte Carlo ◽  
Parameter Estimation ◽  
Reactive Transport ◽  
Transport Parameter ◽  
Monte Carlo Approach

EFFECT OF ORIENTATION OF STRATA ON MACROSCOPIC SWEEP EFFICIENCY OF WATER/POLYMER FLOODING IN LAYERED POROUS MEDIA

2011 ◽  
Vol 14 (9) ◽  
pp. 761-776 ◽  
Author(s):  
Hamid Emami Meybodi ◽  
Riyaz Kharrat ◽  
Benyamin Yadali Jamaloei
Keyword(s):  
Porous Media ◽  
Polymer Flooding ◽  
Sweep Efficiency ◽  
Layered Porous Media

scholarly journals Modeling Transient Flows in Heterogeneous Layered Porous Media Using the Space–Time Trefftz Method

2021 ◽  
Vol 11 (8) ◽  
pp. 3421
Author(s):  
Cheng-Yu Ku ◽  
Li-Dan Hong ◽  
Chih-Yu Liu ◽  
Jing-En Xiao ◽  
Wei-Po Huang
Keyword(s):  
Porous Media ◽  
Time Domain ◽  
Numerical Solutions ◽  
Space Time ◽  
Two Dimensional ◽  
Transient Flows ◽  
Layered Porous Media ◽  
Time Marching ◽  
Time Basis ◽  
Marching Scheme

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.

Ultrasonic characterization of air-saturated double-layered porous media in time domain

2010 ◽  
Vol 108 (1) ◽  
pp. 014909 ◽  
Author(s):  
Z. E. A Fellah ◽  
N. Sebaa ◽  
M. Fellah ◽  
F. G. Mitri ◽  
E. Ogam ◽  
...  
Keyword(s):  
Porous Media ◽  
Time Domain ◽  
Ultrasonic Characterization ◽  
Layered Porous Media

scholarly journals A Modified NM-PSO Method for Parameter Estimation Problems of Models

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
An Liu ◽  
Erwie Zahara ◽  
Ming-Ta Yang
Keyword(s):  
Genetic Algorithm ◽  
Parameter Estimation ◽  
Particle Swarm Optimization ◽  
Differential Equations ◽  
Ordinary Differential Equations ◽  
Optimization Problems ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Wide Range ◽  
Estimation Problems

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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