EconPapers    
Economics at your fingertips  
 

Random Walk Algorithms for Estimating Effective Properties of Digitized Porous Media*

Simonov N. A. and Mascagni M.
Additional contact information
Simonov N. A.: Institute of Computational Mathematics and Mathematical Geophysics, Novosibirsk, Russia The School of Computational Science and Information Technology, Florida State University, Tallahassee, Florida, USA
Mascagni M.: The School of Computational Science and Information Technology, Florida State University, Tallahassee, Florida, USA Department of Computer Science, Florida State University, Tallahassee, Florida, USA

Monte Carlo Methods and Applications, 2004, vol. 10, issue 3-4, 599-608

Abstract: In this paper we describe a Monte Carlo method for permeability calculations in complex digitized porous structures. The relation between the permeability and the diffusion penetration depth is established. The corresponding Dirichlet boundary value problem is solved by random walk algorithms. The results of computational experiments for some random models of porous media confirm the log-normality hypothesis for the permeability distribution.

Date: 2004
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/mcma.2004.10.3-4.599 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:mcmeap:v:10:y:2004:i:3-4:p:599-608:n:1040

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/mcma/html

DOI: 10.1515/mcma.2004.10.3-4.599

Access Statistics for this article

Monte Carlo Methods and Applications is currently edited by Karl K. Sabelfeld

More articles in Monte Carlo Methods and Applications from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-19
Handle: RePEc:bpj:mcmeap:v:10:y:2004:i:3-4:p:599-608:n:1040