Efficient Algorithm for the Prediction of Pressure–Volume–Temperature Properties of Crude Oils Using the Perturbed-Chain Statistical Associating Fluid Theory Equation of State-Reference-Cited by-同舟云学术

Efficient Algorithm for the Prediction of Pressure–Volume–Temperature Properties of Crude Oils Using the Perturbed-Chain Statistical Associating Fluid Theory Equation of State

Published:2017-05-10 Issue:20 Volume:56 Page:6088-6102
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Abutaqiya Mohammed I. L.¹^ORCID,Panuganti Sai R.¹^ORCID,Vargas Francisco M.¹^ORCID

Affiliation:

1. Department of Chemical and Biomolecular Engineering, Rice University, Houston, Texas 77005, United States

Funder

Abu Dhabi National Oil Company

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.7b00368

Reference52 articles.

1. Density of Natural Gases

2. An Empirical Correlation for Oil FVF Prediction

3. Correlations for Fluid Physical Property Prediction

4. Correlation of PVT Properties for UAE Crudes (includes associated papers 26135 and 26316 )

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