Assessment of asphaltene deposition due to titration technique

Ali Chamkalani, Mahmood Amani, Mohammad Amin Kiani, Reza Chamkalani

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

Due to problems followed by asphaltene deposition, which cause many remedial processes and costs, it seemed necessary to develop equations for determining asphaltene precipitation quantitatively or qualitatively. In this study a new scaling equation as a function of temperature, molecular weight, and dilution ratio (solvent) has been developed. This equation can be used to determine the weight percent of precipitated asphaltene in the presence of different precipitants (solvents). The proposed methodology utilizes least square support vector machines/regression (LSSVM/LSSVR) to perform nonlinear modeling. This paper proposes a new feature selection mechanism based on coupled simulated annealing (CSA) optimization in an attempt to tune the optimal parameters. CSA-LSSVM has the good capability of characterizing the nonlinear behavior. The performance of the proposed LSSVM algorithm is highly satisfactory and demonstrated by residuals and statistical indicator and was compared with previous works. The results showed its superiority to previous and highly dependent performance.

Original languageEnglish
Pages (from-to)72-80
Number of pages9
JournalFluid Phase Equilibria
Volume339
DOIs
Publication statusPublished - 15 Feb 2013

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Keywords

  • Asphaltene precipitation
  • Coupled simulated annealing
  • Least square support vector machine
  • Scaling equation

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Physics and Astronomy(all)
  • Physical and Theoretical Chemistry

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