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Designing a reliable leak bio-detection system for natural gas pipelines

机译:设计用于天然气管道的可靠泄漏生物检测系统

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Monitoring of natural gas (NG) pipelines is an important task for economical/safety operation, loss pre vention and environmental protection. Timely and reliable leak detection of gas pipeline, therefore, plays a key role in the overall integrity management for the pipeline system. Owing to the various limitations of the currently available techniques and the surveillance area that needs to be covered, the research on new detector systems is still thriving. Biosensors are worldwide considered as a niche technology in the environmental market, since they afford the desired detector capabilities at low cost, provided they have been properly designed/developed and rationally placedetworked/maintained by the aid of operational research techniques. This paper addresses NG leakage surveillance through a robust coopera-tive/synergistic scheme between biosensors and conventional detector systems; the network is validated in situ and optimized in order to provide reliable information at the required granularity level. The proposed scheme is substantiated through a knowledge based approach and relies on Fuzzy Multicriteria Analysis (FMCA), for selecting the best biosensor design that suits both, the target analyte and the operational micro-environment. This approach is illustrated in the design of leak surveying over a pipeline network in Greece.
机译:天然气(NG)管道的监控是经济/安全运行,预防损失和环境保护的重要任务。因此,天然气管道泄漏的及时可靠检测在管道系统的整体完整性管理中起着关键作用。由于当前可用技术的各种局限性和需要涵盖的监视领域,对新探测器系统的研究仍在蓬勃发展。生物传感器在世界范围内被认为是环境市场中的一种利基技术,因为它们可以通过低成本,低成本地获得所需的检测器功能,前提是它们已经通过运营研究技术进行了适当的设计/开发和合理地放置/联网/维护。本文通过生物传感器和常规检测器系统之间的鲁棒合作/协同方案解决了天然气泄漏监测问题。网络经过现场验证和优化,以便在所需的粒度级别上提供可靠的信息。所提出的方案通过基于知识的方法得到证实,并依赖于模糊多标准分析(FMCA),以选择适合目标分析物和操作微环境的最佳生物传感器设计。在希腊的管道网络上进行泄漏调查的设计中说明了这种方法。

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