图书馆订阅: Guest
Begell Digital Portal Begell 数字图书馆 电子图书 期刊 参考文献及会议录 研究收集
多孔介质期刊
影响因子: 1.061 5年影响因子: 1.151 SJR: 0.504 SNIP: 0.671 CiteScore™: 1.58

ISSN 打印: 1091-028X
ISSN 在线: 1934-0508

多孔介质期刊

DOI: 10.1615/JPorMedia.v1.i1.60
pages 71-92

Review of Porous Media Enhanced Vapor-Phase Diffusion Mechanisms, Models, and Data—Does Enhanced Vapor-Phase Diffusion Exist?

Clifford K. Ho
Geohydrology Department, Sandia National Laboratories, Albuquerque, New Mexico, 87185-1324, USA
Stephen W. Webb
Geohydrology Department, Sandia National Laboratories, Albuquerque, New Mexico 87185-1324, USA

ABSTRACT

A review of mechanisms, models, and data relevant to the postulated phenomenon of enhanced vapor-phase diffusion in porous media is presented. Information is obtained from literature spanning two different disciplines (soil science and engineering) to gain a diverse perspective on this topic. Findings indicate that while enhanced vapor diffusion tends to correct the discrepancies observed between past theory and experiments, no direct evidence exists to support the postulated processes causing enhanced vapor diffusion. Numerical modeling analyses of experiments representative of the two disciplines are presented in this paper to assess the sensitivity of different systems to enhanced vapor diffusion. Pore-scale modeling is also performed to evaluate the relative significance of enhanced vapor diffusion mechanisms when compared to Fickian diffusion. The results demonstrate the need for additional experiments so that more discerning analyses can be performed.


Articles with similar content:

Investigation of a Stochastic Model for Multiscale Dispersion in Porous Media
Journal of Porous Media, Vol.11, 2008, issue 6
Don Kulasiri, Sean Richards
EFFECTIVE PARAMETRIZATION FOR RELIABLE RESERVOIR PERFORMANCE PREDICTIONS
International Journal for Uncertainty Quantification, Vol.2, 2012, issue 3
Linfeng Bi, Subhash Kalla, Xiao-Hui Wu
Transport, mixing and agglomeration of particles in turbulent flows
ICHMT DIGITAL LIBRARY ONLINE, Vol.0, 2012, issue
Michael W. Reeks
ON THE ROLE OF DATA MINING TECHNIQUES IN UNCERTAINTY QUANTIFICATION
International Journal for Uncertainty Quantification, Vol.2, 2012, issue 1
Chandrika Kamath
SEECN: SIMULATING COMPLEX SYSTEMS USING DYNAMIC COMPLEX NETWORKS
International Journal for Multiscale Computational Engineering, Vol.9, 2011, issue 2
Rick Quax, David A. Bader, Peter M. A. Sloot