A New Correlation for Prediction of Wax Disappearance Temperature of Hydrocarbon Mixtures at Various Pressures

Authors

  • Gholamreza Moradi Chemical Engineering Department, Faculty of Engineering, Razi University, Kermanshah, Iran
  • Majid Mohadesi Chemical Engineering Department, Faculty of Engineering, Razi University, Kermanshah, Iran
  • Mojtaba Mokhtari Chemical and Petroleum Engineering Department, Sharif University of Technology, Tehran, Iran
Abstract:

  Wax precipitate is one of the most serious issues the oil industry is currently facing, since it can cause some troubles such as increasing of the pressure losses in pipe which subsequently increases the required power for pumpage. To remove this problem, prediction of wax disappearance temperature (WDT) seems necessary. In this study, the pressure influence on the wax disappearance temperature in multi-component mixtures has been surveyed and some correlations have been proposed to predict the wax disappearance temperature instead of using thermodynamic models. The accuracies of the correlations as AARD are 0.30 %, 0.27 % and 0.68 % for binary, ternary and multi-component mixtures, respectively.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

a new correlation for prediction of wax disappearance temperature of hydrocarbon mixtures at various pressures

wax precipitate is one of the most serious issues the oil industry is currently facing, since it can cause some troubles such as increasing of the pressure losses in pipe which subsequently increases the required power for pumpage. to remove this problem, prediction of wax disappearance temperature (wdt) seems necessary. in this study, the pressure influence on the wax disappearance temperature...

full text

Surface Tension Prediction of Hydrocarbon Mixtures Using Artificial Neural Network

In this study, artificial neural network was used to predict the surface tension of 20 hydrocarbon mixtures. Experimental data was divided into two parts (70% for training and 30% for testing). Optimal configuration of the network was obtained with minimization of prediction error on testing data. The accuracy of our proposed model was compared with four well-known empirical equations. The arti...

full text

Solid Phase Equation of State Application for Wax Formation Prediction in Petroleum Mixtures

Precipitation ofsolid paraffins is one ofthe most common problems in the oil industry, imposing high operating costs. There have been a great many efforts for the prediction <span style="font-size: 10p...

full text

Explosion pressures of hydrocarbon-air mixtures in closed vessels.

An experimental study on pressure evolution during closed vessel explosions of several gaseous fuel-air mixtures was performed, at various initial pressures within 0.3-1.2 bar and ambient initial temperature. Explosion pressures and explosion times are reported for methane-, n-pentane-, n-hexane-, propene-, butene-, butadiene-, cyclohexane- and benzene-air mixtures. The explosion pressures meas...

full text

A Correlation for the Prediction of the Adiabatic Joule-Thomson Coefficient of Pure Gases and Gas Mixtures

A correlation based on the general form of cubic equations of state has been derived. This equation provides a convenient mathematical form of the Joule-Thomson coefficient in terms of the state variable V and T. The Joule-Thomson coefficient calculated by this correlation has been compared with experimental data. It has been shown that the Redilich-Kwang equation of state is a suitable equ...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 47  issue 1

pages  27- 38

publication date 2013-06-01

By following a journal you will be notified via email when a new issue of this journal is published.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023