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<p>Accurate carbon number distribution data are essential for optimize refining processes, maximizing product yield, and ensuring fuel quality. This study introduces time-domain nuclear magnetic resonance (TD-NMR) spectroscopy as a straightforward and efficient tool for determining carbon chain length distribution in petroleum distillates. At this context, TD-NMR offers a rapid, cost-effective, and non-destructive approach to study petroleum distillates, providing valuable insights into their molecular composition. A diverse set of 42 distillate from light, medium, and heavy crude oils was produced following ASTM D2892. The results demonstrate that TD-NMR correlates well with the traditional methods like simulated distillation (SIMDIS), while offering the additional advantage of estimating carbon chain lengths below C5. This study highlights the significant potential of TD-NMR as a powerful tool for the petroleum industry. Ultimately, by providing accurate and timely carbon chain length distribution data, it is demonstrated that TD-NMR can help refineries optimize operations, improve product quality, and reduce environmental impact.</p>

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Application of Time-Domain NMR for the Determination of Carbon Chain Length in Petroleum Distillates

  • 期刊论文

  • 发表日期：

    2025年12月5日

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  • Flávio V. C. Kock,
  • Luciana F. Montes,
  • Danyelle A. Cunha,
  • Samantha R. C. Silva,
  • Eustáquio V. R. Castro,
  • Lúcio L. Barbosa

摘要

Accurate carbon number distribution data are essential for optimize refining processes, maximizing product yield, and ensuring fuel quality. This study introduces time-domain nuclear magnetic resonance (TD-NMR) spectroscopy as a straightforward and efficient tool for determining carbon chain length distribution in petroleum distillates. At this context, TD-NMR offers a rapid, cost-effective, and non-destructive approach to study petroleum distillates, providing valuable insights into their molecular composition. A diverse set of 42 distillate from light, medium, and heavy crude oils was produced following ASTM D2892. The results demonstrate that TD-NMR correlates well with the traditional methods like simulated distillation (SIMDIS), while offering the additional advantage of estimating carbon chain lengths below C5. This study highlights the significant potential of TD-NMR as a powerful tool for the petroleum industry. Ultimately, by providing accurate and timely carbon chain length distribution data, it is demonstrated that TD-NMR can help refineries optimize operations, improve product quality, and reduce environmental impact.