New Data Processing Method for Heavy Oil Components Analyzed by Fourier Transform Ion Cyclotron Resonance Mass Spectrometry

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  • KATANO Keita
    Petroleomics Technology Laboratory, Advanced Technology and Research Institute, Japan Petroleum Energy Center Dept. of Chemical Systems Engineering, Graduate School of Engineering, Nagoya University
  • SUZUKI Teruo
    Petroleomics Technology Laboratory, Advanced Technology and Research Institute, Japan Petroleum Energy Center
  • MATSUMOTO Kotaro
    Petroleomics Technology Laboratory, Advanced Technology and Research Institute, Japan Petroleum Energy Center
  • KATO Hiroshi
    Petroleomics Technology Laboratory, Advanced Technology and Research Institute, Japan Petroleum Energy Center
  • NORINAGA Koyo
    Dept. of Chemical Systems Engineering, Graduate School of Engineering, Nagoya University

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  • フーリエ変換イオンサイクロトロン共鳴質量分析法で分析した重質油成分の新規データ処理法

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Abstract

<p>A data processing method to automatically assign molecular formulae and correct the abundances was developed and used to improve the reliability and quantitative accuracy of data obtained via Fourier transform ion cyclotron resonance mass spectrometry. The technique was utilized to analyze fractions of atmospheric residue, and assigned molecular formulae for each fraction. The algorithm automatically identified nearly 20,000 heavy oil components. The reliability of the data processing technique was demonstrated by absolute mean mass errors in the range of 0.15-0.23 ppm. Distillation simulation was used to correct the abundances of assigned molecular formulae. The distillation properties were estimated from the molecular formulae, and corrections made to match the simulated results within 1 wt%. The correction factor indicated that lower boiling point components tended to require higher correction factors, suggesting that the ion transport efficiency of the instrument becomes lower in the lower molecular weight region.</p>

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