Wireless sensor networks for fugitive methane emissions monitoring in oil and gas industry

被引：8

作者：

Klein, Levente J. ^{[1
]}

Ramachandran, Muralindar ^{[1
]}

van Kessel, Ted ^{[1
]}

Nair, Dhruv ^{[1
]}

Hinds, Nigel ^{[1
]}

Hamann, Hendrik F. ^{[1
]}

Sosa, Norma E. ^{[1
]}

机构：

[1] IBM TJ Watson Res Ctr, Yorktown Hts, NY 10598 USA

来源：

2018 IEEE INTERNATIONAL CONGRESS ON INTERNET OF THINGS (ICIOT) | 2018年

关键词：

mesh network; fugitive methane gas; wireless sensor network; edge computing; oil and gas; internet of things; plume modeling; NATURAL-GAS; SHALE;

D O I：

10.1109/ICIOT.2018.00013

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Remote areas monitoring can leverage the versatility of wireless sensor networks with integrated power harvesting and localization capabilities. We present a sensor platform that collects chemical and environmental data and combines it with a cloud based analytics to localize fugitive methane leaks and to quantify the emission of chemical plumes. The platform combine a wireless methane sensor network and wind sensor to continuously monitor the environment and track how methane leaks are developing. Real world testing of the technology indicate leak localization performance better than 1 meter based on sensor data collected for less than 1 hour. The sensor platform can minimizing oil and gas production loss, enable continuous monitoring of the equipment, and identify hazardous working conditions for operators.

引用

页码：41 / 48

页数：8

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