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[1]张志荣 陈朋超 蔡永军 杜文友 李中林 彭云涛 孙鹏帅 吴边.油气泄漏多组分标志性气体浓度光谱监测方法[J].油气储运,2025,44(05):1-10.
ZHANG Zhirong,CHEN Pengchao,CAI Yongjun,et al.Multi-component Gas Spectral Monitoring Technology for Sealing Identification of Oil and Gas Storage and Transportation [J].Oil & Gas Storage and Transportation,2025,44(05):1-10.
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ZHANG Zhirong,CHEN Pengchao,CAI Yongjun,et al.Multi-component Gas Spectral Monitoring Technology for Sealing Identification of Oil and Gas Storage and Transportation [J].Oil & Gas Storage and Transportation,2025,44(05):1-10.
油气泄漏多组分标志性气体浓度光谱监测方法
《油气储运》[ISSN:1000-8241/CN:13-1093/TE]
卷:
44
期数:
2025年05期
页码:
1-10
栏目:
出版日期:
2025-05-25
- Title:
- Multi-component Gas Spectral Monitoring Technology for Sealing Identification of Oil and Gas Storage and Transportation
- Keywords:
- oil and gas storage tanks; sealing monitoring; tunable diode laser absorption spectroscopy (TDLAS); multi-component gas; sensors; intrinsic safety
- 分类号:
- TE88
- 文献标志码:
- A
- 摘要:
- 【目的】传统油气泄漏气体监测方法存在检测灵敏度低、校准周期短、误报多、测量气体单一、易受环境干扰、传感器带电等因素，难以满足日益发展的智慧管网安全运维的需求，亟需研制适用于新型复杂场景的油气泄漏监测传感器。【方法】面向油气管网储运场景中的一二次密封、浮舱、隧道、地下空间、分析室等多类型受限空间场景，选取可燃气体（甲烷、丙烷、丁烷）、助燃气体氧气以及温度等多参数同时监测作为目标，设计了用于满足现场布设的新型全光纤耦合、本质安全、可组网的扩散式传感器探头；参考复杂体系的光谱解析与背景噪声扣除的设计思想，将传统的可调谐半导体激光吸收光谱技术（Tunable Diode Laser Absorption Spectroscopy, TDLAS）技术与偏最小二乘算法、非负最小二乘算法、人工智能算法模型等相结合，分别选取氧气－761 nm、甲烷－1 653 nm、丙烷－1 686.1 nm、丁烷－1 686.5 nm的中心吸收谱线，提出了烷烃类气体分子测量时混叠吸收光谱干扰处理的共性技术，并研制了适用于多种场合的油气泄漏多组分气体浓度测量传感器。【结果】新研制的传感器系统可以实现远距离、安全、稳定的多组分气体与集成温度的多参数、多点、宽动态范围的实时监测与分析，能够适应多种不同应用场景的气体监测需求。经过实验测试，得到新研制传感器的探测可燃气体甲烷、丙烷、丁烷爆炸下限（Lower Explosive Limit, LEL）分别为0.1%LEL、0.8%LEL、0.9%LEL，而助燃剂氧气测量下限的体积分数为3%，均符合油气领域的最低检测标准要求。【结论】深入分析传感器各类型干扰影响因素，可提升油气管网多场景火灾风险防控与预警能力，并为打造“平安管道、绿色管道、发展管道、友谊管道”目标贡献力量。
- Abstract:
- [Objective] Traditional oil and gas leak monitoring faces limitations such as low detection sensitivity, short calibration cycles, frequent false alarms, limited gas measurement types, and susceptibility to interference. These constraints make it difficult to meet the urgent demands of the increasingly developed smart pipeline construction. Therefore, developing new types of oil and gas signature gas monitoring sensors for complex cross-regional scenarios becomes particularly important. Tunable Diode Laser Absorption Spectroscopy (TDLAS) technology boasts significant advantages such as non-contact, high sensitivity, high precision, high stability, and rapid response. It can monitor multiple types of signature gas concentrations in real-time and has been widely validated and applied in numerous fields. However, when measuring mixed gases in certain special environments, interference factors between gas spectra become the biggest limiting factor, greatly restricting the application of this technology. [Methods] This paper focuses on various confined space scenarios in oil and gas storage tank settings, such as primary and secondary seals, buoyancy chambers, pipeline tunnels, and analysis cabins. It selects multiple target gases such as methane (CH4-1 653 nm), propane (C3H8-1 686.1 nm), butane (C4H10-1 686.5 nm), and oxygen (O2-761 nm) for simultaneous monitoring. Referring to the design idea of spectral analysis and background subtraction in complex systems from previous research, this paper combines traditional TDLAS technology with partial least squares algorithm, non-negative least squares algorithm, artificial intelligence algorithm models, and other methods to overcome the significant common technical challenge of aliased absorption spectrum interference during the measurement of alkane gas molecules. It designs a new type of fully fiber-coupled, intrinsically safe sensor probe and its deployment method, achieving real-time monitoring and analysis of multi-component gases and temperature with long-distance, true safety, and structural stability across multiple parameters, multiple points, and a wide dynamic range. [Results] Through analysis, it is known that the developed sensor can detect the lower explosive limits of methane at 0.1% LEL, propane at 0.8% LEL, butane at 0.9% LEL, and oxygen as a combustion accelerant at 3% Vol, meeting the national standard minimum detection limit requirements for oil and gas industry sites. [Conclusion] Furthermore, this paper's research will continue to combine with actual station situations, deeply analyze other interference factors, study new early warning alarm strategies in case of leakage, enhance the multi-parameter prevention and control and early warning capabilities for fire risks in oil and gas storage tank scenarios, and contribute to the goal of creating "safe pipelines, green pipelines, development pipelines, and friendship pipelines" with the power of sensors.
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更新日期/Last Update:
2025-02-24