Suppr超能文献

便携式光谱仪在油气井场甲烷逃逸排放监测中的现场部署

Field Deployment of a Portable Optical Spectrometer for Methane Fugitive Emissions Monitoring on Oil and Gas Well Pads.

作者信息

Zhang Eric J, Teng Chu C, van Kessel Theodore G, Klein Levente, Muralidhar Ramachandran, Wysocki Gerard, Green William M J

机构信息

IBM Thomas J. Watson Research Center, 1101 Kitchawan Road, Yorktown Heights, NY 10598, USA.

Department of Electrical Engineering, Princeton University, Princeton, NJ 08544, USA.

出版信息

Sensors (Basel). 2019 Jun 16;19(12):2707. doi: 10.3390/s19122707.

Abstract

We present field deployment results of a portable optical absorption spectrometer for localization and quantification of fugitive methane (CH) emissions. Our near-infrared sensor targets the 2ν R(4) CH transition at 6057.1 cm (1651 nm) via line-scanned tunable diode-laser absorption spectroscopy (TDLAS), with Allan deviation analysis yielding a normalized 2.0 ppmv∙Hz sensitivity (4.5 × 10 Hz noise-equivalent absorption) over 5 cm open-path length. Controlled CH leak experiments are performed at the METEC CSU engineering facility, where concurrent deployment of our TDLAS and a customized volatile organic compound (VOC) sensor demonstrates good linear correlation (R = 0.74) over high-flow (>60 SCFH) CH releases spanning 4.4 h. In conjunction with simultaneous wind velocity measurements, the leak angle-of-arrival (AOA) is ascertained via correlation of CH concentration and wind angle, demonstrating the efficacy of single-sensor line-of-sight (LOS) determination of leak sources. Source magnitude estimation based on a Gaussian plume model is demonstrated, with good correspondence (R = 0.74) between calculated and measured release rates.

摘要

我们展示了一种便携式光学吸收光谱仪用于定位和量化逃逸甲烷(CH)排放的现场部署结果。我们的近红外传感器通过线扫描可调谐二极管激光吸收光谱法(TDLAS)针对6057.1厘米(1651纳米)处的2ν R(4) CH跃迁,通过艾伦偏差分析在5厘米开放路径长度上产生了归一化的2.0 ppmv∙Hz灵敏度(4.5×10 Hz噪声等效吸收)。在METEC CSU工程设施中进行了受控的CH泄漏实验,在那里我们的TDLAS与定制的挥发性有机化合物(VOC)传感器同时部署,在持续4.4小时的高流量(>60标准立方英尺每小时)CH释放过程中显示出良好的线性相关性(R = 0.74)。结合同时进行的风速测量,通过CH浓度与风向的相关性确定泄漏到达角度(AOA),证明了单传感器视线(LOS)确定泄漏源的有效性。展示了基于高斯羽流模型的源强度估计,计算的和测量的释放速率之间具有良好的对应关系(R = 0.74)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bf0/6631496/63bcd0fc3af7/sensors-19-02707-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验