Jump to ContentJump to Main Navigation
Show Summary Details
More options …

International Journal of Chemical Reactor Engineering

Ed. by de Lasa, Hugo / Xu, Charles Chunbao

6 Issues per year


IMPACT FACTOR 2016: 0.623
5-year IMPACT FACTOR: 0.761

CiteScore 2016: 0.58

SCImago Journal Rank (SJR) 2016: 0.224
Source Normalized Impact per Paper (SNIP) 2016: 0.297

Online
ISSN
1542-6580
See all formats and pricing
More options …

Fluid Viscosity-Residual Entropy Correlation

Lawrence T. Novak
Published Online: 2011-11-16 | DOI: https://doi.org/10.2202/1542-6580.2839

Chemical reaction engineering, process engineering, and product engineering models are used for design and analysis. Often, transport coefficient models are needed in equipment and in-situ models to account for the importance of momentum, heat, and mass transfer. Previous work+ demonstrated a novel component-based reference equation of state approach for correlating self-diffusion coefficient and viscosity over the entire fluid region (liquid, gas, and critical fluid). In this paper, a segment-based approach is used to extend the previous work+ from a limited number of individual component correlations to a predictive fluid viscosity correlation for a class of components consisting of n-alkanes, up to 1300 molecular weight, covering a wide range of components, temperatures, and pressures.

A scaled segment viscosity-segment residual entropy correlation (V-S model) was introduced and evaluated here. PC-SAFT segment parameters and residual entropy were used in a correlation model linking viscosity to the PC-SAFT equation of state. Experimental evaluation of this V-S model used 3122 data points for eighteen n-alkanes, ranging from methane up to 2390 molecular weight linear polyethylene. Temperatures ranged from 96 °K to 650 °K, and pressures ranged from 10-4 atmospheres to 4990 atmospheres. The conditions studied are relevant to oil and gas reservoir engineering and other in-situ processes.

Based on this work, covering the entire fluid region, the V-S model was found to result in a group correlation squared (R2) of -0.998 and group average absolute deviation (AAD) of 3.9%. Individual viscosity segment correlation parameters (Bseg and Aseg) were fitted to molecular weight and used in the predictive mode. In the predictive mode, a group AAD of 6.7% was obtained for n-alkanes from methane up to 1300 molecular weight linear polyethylene, over the entire fluid region.

The scaled segment viscosity-segment residual entropy model introduced here has potential for a much broader range of applications. In addition, this model would be easy to embed in existing in-house and commercial simulators to provide predictive properties and rate-based modeling capability. + Novak, http://www.bepress.com/ijcre/vol9/A63

Keywords: transport modeling; transport-reaction modeling; viscosity; residual entropy; transport correlation; PC-SAFT; commercial simulators; oil and gas reservoir engineering

About the article

Published Online: 2011-11-16


Citation Information: International Journal of Chemical Reactor Engineering, ISSN (Online) 1542-6580, DOI: https://doi.org/10.2202/1542-6580.2839.

Export Citation

©2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston. Copyright Clearance Center

Citing Articles

Here you can find all Crossref-listed publications in which this article is cited. If you would like to receive automatic email messages as soon as this article is cited in other publications, simply activate the “Citation Alert” on the top of this page.

[1]
[2]
Madlen Hopp and Joachim Gross
Industrial & Engineering Chemistry Research, 2017, Volume 56, Number 15, Page 4527
[3]
Oliver Lötgering-Lin, Anneli Schöniger, Wolfgang Nowak, and Joachim Gross
Industrial & Engineering Chemistry Research, 2016, Volume 55, Number 38, Page 10191
[4]
Oliver Lötgering-Lin and Joachim Gross
Industrial & Engineering Chemistry Research, 2015, Volume 54, Number 32, Page 7942
[5]
Naser S. Matin, Joseph E. Remias, and Kunlei Liu
Industrial & Engineering Chemistry Research, 2013, Volume 52, Number 47, Page 16979

Comments (0)

Please log in or register to comment.
Log in