重質油系相平衡における留分間相互作用パラメーター推算モデルの開発

Translated title of the contribution: Development of predictive method for interaction parameters in heavy oil phase equilibria

Yuta Sugimoto, Yuki Matsui, Ryosuke Iwasaki, Masaki Ota, Yoshiyuki Sato, Hiroshi Inomata, Shogo Teratani

Research output: Contribution to journalArticle

Abstract

A predictive methodology for the interaction parameters of binary heavy oil fractions was developed by measuring and correlating the high temperature vapor-liquid equilibria (VLE) of hydrocarbon-atmospheric pressure residual oil (AR) systems. The VLE measurements were conducted at 573 K - 653 K using a flow type apparatus, using toluene as a typical hydrocarbon for aromatics, n-decane and n-hexadecane for paraffins, and decalin for naphthenes. The AR was divided into five fractions by boiling temperatures, and the fraction compositions were determined by GPC analyses. The vapor-liquid equilibrium data were correlated with the Peng-Robinson equation of state and the van der Waals one fluid model mixing rules. The determined values of the binary interaction parameter, kij, showed large temperature dependence and indicated that the values for the hexadecane-AR fraction were larger than for the other hydrocarbon-fraction pairs. A predictive equation for kij was proposed as a function of the critical temperature ratio between component i and component j.

Translated title of the contributionDevelopment of predictive method for interaction parameters in heavy oil phase equilibria
Original languageJapanese
Pages (from-to)181-187
Number of pages7
JournalJournal of The Japan Petroleum Institute
Volume62
Issue number4
DOIs
Publication statusPublished - 2019 Jan 1

ASJC Scopus subject areas

  • Fuel Technology
  • Energy Engineering and Power Technology

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