Table of Contents
ISRN Analytical Chemistry
Volume 2012, Article ID 219276, 6 pages
http://dx.doi.org/10.5402/2012/219276
Research Article

Correlations between SARA Fractions, Density, and RI to Investigate the Stability of Asphaltene

Department of Petroleum Engineering, Petroleum University of Technology, P.O. Box 63431, Ahwaz, Iran

Received 24 September 2011; Accepted 24 October 2011

Academic Editors: T. C. Dinadayalane, A. M. Farag, and N. Fujita

Copyright © 2012 Ali Chamkalani. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Ali Chamkalani, Amir H. Mohammadi, Ali Eslamimanesh, Farhad Gharagheizi, and Dominique Richon, “Diagnosis of asphaltene stability in crude oil through “two parameters” SVM model,” Chemical Engineering Science, vol. 81, pp. 202–208, 2012. View at Publisher · View at Google Scholar
  • Ali Chamkalani, Reza Chamkalani, and Amir H. Mohammadi, “Hybrid of Two Heuristic Optimizations with LSSVM to Predict Refractive Index as Asphaltene Stability Identifier,” Journal of Dispersion Science and Technology, vol. 35, no. 8, pp. 1041–1050, 2014. View at Publisher · View at Google Scholar
  • Amin Gholami, Mojtaba Asoodeh, and Parisa Bagheripour, “Fuzzy Assessment of Asphaltene Stability in Crude Oils,” Journal of Dispersion Science and Technology, vol. 35, no. 4, pp. 556–563, 2014. View at Publisher · View at Google Scholar
  • Amin Gholami, Mojtaba Asoodeh, and Parisa Bagheripour, “Smart Determination of Difference Index for Asphaltene Stability Evaluation,” Journal of Dispersion Science and Technology, vol. 35, no. 4, pp. 572–576, 2014. View at Publisher · View at Google Scholar
  • A. Chamkalani, “Application of LS-SVM Classifier to Determine Stability State of Asphaltene in Oilfields by Utilizing SARA Fractions,” Petroleum Science and Technology, vol. 33, no. 1, pp. 31–38, 2014. View at Publisher · View at Google Scholar
  • Amin Gholami, Hamid Reza Ansari, and Seyedsajad Hosseini, “Prediction of crude oil refractive index through optimized support vector regression: a competition between optimization techniques,” Journal of Petroleum Exploration and Production Technology, vol. 7, no. 1, pp. 195–204, 2016. View at Publisher · View at Google Scholar
  • Saeid Ahmadi, Mohammad Sadegh Amiribakhtiar, Amin Gholami, and Nader Bahrami, “Upgrading fuzzy logic by GA-PS to determine asphaltene stability in crude oil,” Egyptian Journal of Petroleum, 2017. View at Publisher · View at Google Scholar