A Novel IoT-Based Method for Real-Time Detection of Spontaneous Leaks in Pipelines, Gathering Systems, and Offshore Risers

Matthew Grimes, Nicolaas Antonie Janse van Rensburg, S. Mitchell
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引用次数: 1

Abstract

This paper presents on a non-invasive, IoT-based method for rapidly determining the presence and location of spontaneous leaks in pressurized lines transporting any type of product (e.g., oil, gas, water, etc.). Specific applications include long-distance transmission lines, gathering networks at well sites, and offshore production risers. The methodology combines proven negative pressure wave (NPW) sensing with advanced signal processing to minimize false positives and accurately identify the presence of small spontaneous leaks within seconds of their occurrence. In the case of long-distance transmission pipelines, the location of the leak can be localized to within 20-50 feet. The solution was commercialized in 2020 and has undergone extensive testing to verify its capabilities. It is currently in use by several operators, both onshore and offshore.
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一种基于物联网的管道、集输系统和海上立管自发泄漏实时检测方法
本文介绍了一种非侵入性的、基于物联网的方法,用于快速确定输送任何类型产品(如石油、天然气、水等)的加压管道中自发泄漏的存在和位置。具体应用包括长距离传输线、井场集输网络和海上生产隔水管。该方法将经过验证的负压波(NPW)传感与先进的信号处理相结合,可以最大限度地减少误报,并在几秒钟内准确识别小的自发泄漏的存在。在长距离输送管道的情况下,泄漏的位置可以定位在20-50英尺内。该解决方案已于2020年商业化,并经过了广泛的测试以验证其功能。目前,几家陆上和海上运营商都在使用它。
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