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Assessment of asphaltene deposition due to titration technique

Chamkalani, A ; Sharif University of Technology | 2013

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  1. Type of Document: Article
  2. DOI: 10.1016/j.fluid.2012.11.037
  3. Publisher: 2013
  4. Abstract:
  5. 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
  6. Keywords:
  7. Nonlinear modeling ; Nonlinear behavior ; Least square support vector machine ; Scaling equation ; Asphaltene deposition ; Asphaltene precipitation ; Dilution ratio ; Least square support vector machines ; Coupled simulated annealing ; Optimal parameter ; Remedial process ; Scaling equations ; Selection mechanism ; Statistical indicators ; Weight percent ; Simulated annealing ; Asphaltenes
  8. Source: Fluid Phase Equilibria ; Volume 339 , 2013 , Pages 72-80 ; 03783812 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S0378381212005614