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Ensuring accurate gas composition measurement is critical for applications in petrochemical, environmental, and energy industries. This study addresses a frequently overlooked issue in gas chromatography-thermal instability in sample gas transfer lines. We designed and implemented an innovative active thermal management system featuring a multi-layer composite insulation structure to ensure precise temperature control. The active thermal management system combines a Proportional-Integral-Derivative (PID)-based closed-loop heating controller with an advanced nano-aerogel felt insulation layer. The PID algorithm adjusts heating parameters dynamically, ensuring the internal pipeline temperature remains stable at 73–74 °C despite external fluctuations. This approach effectively suppresses the impact of ambient thermal fluctuations. Experimental validation demonstrated a dramatic enhancement in measurement fidelity: the relative content of measured C₆⁺ components increased from 46.33% to 50.58%, closely aligning with the reference value (The laboratory test value is 52%). Furthermore, the relative deviation of key calculated parameters (e.g., Methylcyclohexane Index) was reduced from 18 to 2%. This technology resolves the problem of data distortion caused by component condensation in traditional light hydrocarbon chromatographs, effectively enhancing the repeatability and accuracy of light hydrocarbon analysis data. It provides reliable technical support for hydrocarbon origin identification and reservoir fluid property evaluation.

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An Active-Thermal-Management Based Insulation System for Traditional Gas Chromatographic Transfer Lines

  • 会议论文

  • 发表日期：

    2026年

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  • Xi Yu,
  • Yi Yang

摘要

Ensuring accurate gas composition measurement is critical for applications in petrochemical, environmental, and energy industries. This study addresses a frequently overlooked issue in gas chromatography-thermal instability in sample gas transfer lines. We designed and implemented an innovative active thermal management system featuring a multi-layer composite insulation structure to ensure precise temperature control. The active thermal management system combines a Proportional-Integral-Derivative (PID)-based closed-loop heating controller with an advanced nano-aerogel felt insulation layer. The PID algorithm adjusts heating parameters dynamically, ensuring the internal pipeline temperature remains stable at 73–74 °C despite external fluctuations. This approach effectively suppresses the impact of ambient thermal fluctuations. Experimental validation demonstrated a dramatic enhancement in measurement fidelity: the relative content of measured C₆⁺ components increased from 46.33% to 50.58%, closely aligning with the reference value (The laboratory test value is 52%). Furthermore, the relative deviation of key calculated parameters (e.g., Methylcyclohexane Index) was reduced from 18 to 2%. This technology resolves the problem of data distortion caused by component condensation in traditional light hydrocarbon chromatographs, effectively enhancing the repeatability and accuracy of light hydrocarbon analysis data. It provides reliable technical support for hydrocarbon origin identification and reservoir fluid property evaluation.