Rapid Detection of Super-Emitters Utilizing an IoT-Enabled Continuous Methane Emissions Monitoring System

Aditi Chakrabarti, Mathieu Dauphin, A. Andrews, Lukasz Zielinski, K. Rashid, J. Yuan, A. Speck, Adam Huynh, Justin Power, Vincent Nicolas, Raphael Gadot
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引用次数: 1

Abstract

Large methane emissions occur from a wide variety of sites with no discernable patterns thus requiring methodologies to frequently monitor for these releases throughout the entire production chain. To cost-effectively monitor widely dispersed well pads, we describe a continuous monitoring system based on the Internet of Things (IoT) to leverage cost-optimized methane concentration sensors permanently deployed at facilities and connected to a cloud-based interpretation platform. Testing at controlled methane release facilities enabled the validation of the sensor performance; fidelity of the atmospheric dispersion modeling underlying our interpretation; and the overall system performance in detecting, localizing, and quantifying methane releases.
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利用物联网连续甲烷排放监测系统快速检测超级排放者
大量的甲烷排放发生在各种各样的地点,没有可识别的模式,因此需要在整个生产链中经常监测这些排放的方法。为了经济有效地监测广泛分布的井台,我们描述了一种基于物联网(IoT)的连续监测系统,该系统利用永久部署在设施中的成本优化的甲烷浓度传感器,并连接到基于云的解释平台。在受控甲烷释放设施进行的测试验证了传感器的性能;大气弥散模式的保真度是我们解释的基础;以及整个系统在检测、定位和量化甲烷释放方面的性能。
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