Methane Leak Detection and Localization Using Wireless Sensor Networks for Remote Oil and Gas Operations

Theodore G. Van Kessel; Muralidhar Ramachandran; Levente J. Klein; Dhruv Nair; Nigel Hinds; Hendrik Hamann; Norma E. Sosa

doi:10.1109/ICSENS.2018.8589585

Methane Leak Detection and Localization Using Wireless Sensor Networks for Remote Oil and Gas Operations

Theodore G. Van Kessel
, Muralidhar Ramachandran
, Levente J. Klein
, Dhruv Nair
, Nigel Hinds
, Hendrik Hamann
, Norma E. Sosa

Office of the Dean SOMAS

IBM

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Scopus citations

Abstract

Oil and gas operations contribute on the order of 31% (according to EPA) to the portion of methane emissions due to human activities. Identifying and localizing these emission sources requires continued development of better sensing modalities. We present a sensor network and cloud based methods for detecting, localizing, and quantifying methane leaks with a focus on natural gas fracking sites. The sensor network is designed for year round remote autonomous operation and includes methane and wind sensing abilities.

Original language	English
Title of host publication	2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538647073
DOIs	https://doi.org/10.1109/ICSENS.2018.8589585
State	Published - Dec 26 2018
Event	17th IEEE SENSORS Conference, SENSORS 2018 - New Delhi, India Duration: Oct 28 2018 → Oct 31 2018

Publication series

Name	Proceedings of IEEE Sensors
Volume	2018-October
ISSN (Print)	1930-0395
ISSN (Electronic)	2168-9229

Conference

Conference	17th IEEE SENSORS Conference, SENSORS 2018
Country/Territory	India
City	New Delhi
Period	10/28/18 → 10/31/18

Keywords

analytics
edge computing
leak detection
methane
oil and gas well
remote sensor
source localization
wireless network

Access to Document

10.1109/ICSENS.2018.8589585

Cite this

Van Kessel, T. G., Ramachandran, M., Klein, L. J., Nair, D., Hinds, N., Hamann, H., & Sosa, N. E. (2018). Methane Leak Detection and Localization Using Wireless Sensor Networks for Remote Oil and Gas Operations. In 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings Article 8589585 (Proceedings of IEEE Sensors; Vol. 2018-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSENS.2018.8589585

@inproceedings{f55d44ffaaad4e1cb7895935eab9bc3a,

title = "Methane Leak Detection and Localization Using Wireless Sensor Networks for Remote Oil and Gas Operations",

abstract = "Oil and gas operations contribute on the order of 31\% (according to EPA) to the portion of methane emissions due to human activities. Identifying and localizing these emission sources requires continued development of better sensing modalities. We present a sensor network and cloud based methods for detecting, localizing, and quantifying methane leaks with a focus on natural gas fracking sites. The sensor network is designed for year round remote autonomous operation and includes methane and wind sensing abilities.",

keywords = "analytics, edge computing, leak detection, methane, oil and gas well, remote sensor, source localization, wireless network",

author = "\{Van Kessel\}, \{Theodore G.\} and Muralidhar Ramachandran and Klein, \{Levente J.\} and Dhruv Nair and Nigel Hinds and Hendrik Hamann and Sosa, \{Norma E.\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 17th IEEE SENSORS Conference, SENSORS 2018 ; Conference date: 28-10-2018 Through 31-10-2018",

year = "2018",

month = dec,

day = "26",

doi = "10.1109/ICSENS.2018.8589585",

language = "English",

series = "Proceedings of IEEE Sensors",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings",

}

Van Kessel, TG, Ramachandran, M, Klein, LJ, Nair, D, Hinds, N, Hamann, H & Sosa, NE 2018, Methane Leak Detection and Localization Using Wireless Sensor Networks for Remote Oil and Gas Operations. in 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings., 8589585, Proceedings of IEEE Sensors, vol. 2018-October, Institute of Electrical and Electronics Engineers Inc., 17th IEEE SENSORS Conference, SENSORS 2018, New Delhi, India, 10/28/18. https://doi.org/10.1109/ICSENS.2018.8589585

Methane Leak Detection and Localization Using Wireless Sensor Networks for Remote Oil and Gas Operations. / Van Kessel, Theodore G.; Ramachandran, Muralidhar; Klein, Levente J. et al.
2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8589585 (Proceedings of IEEE Sensors; Vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Methane Leak Detection and Localization Using Wireless Sensor Networks for Remote Oil and Gas Operations

AU - Van Kessel, Theodore G.

AU - Ramachandran, Muralidhar

AU - Klein, Levente J.

AU - Nair, Dhruv

AU - Hinds, Nigel

AU - Hamann, Hendrik

AU - Sosa, Norma E.

PY - 2018/12/26

Y1 - 2018/12/26

N2 - Oil and gas operations contribute on the order of 31% (according to EPA) to the portion of methane emissions due to human activities. Identifying and localizing these emission sources requires continued development of better sensing modalities. We present a sensor network and cloud based methods for detecting, localizing, and quantifying methane leaks with a focus on natural gas fracking sites. The sensor network is designed for year round remote autonomous operation and includes methane and wind sensing abilities.

AB - Oil and gas operations contribute on the order of 31% (according to EPA) to the portion of methane emissions due to human activities. Identifying and localizing these emission sources requires continued development of better sensing modalities. We present a sensor network and cloud based methods for detecting, localizing, and quantifying methane leaks with a focus on natural gas fracking sites. The sensor network is designed for year round remote autonomous operation and includes methane and wind sensing abilities.

KW - analytics

KW - edge computing

KW - leak detection

KW - methane

KW - oil and gas well

KW - remote sensor

KW - source localization

KW - wireless network

UR - https://www.scopus.com/pages/publications/85060862984

U2 - 10.1109/ICSENS.2018.8589585

DO - 10.1109/ICSENS.2018.8589585

M3 - Conference contribution

AN - SCOPUS:85060862984

T3 - Proceedings of IEEE Sensors

BT - 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th IEEE SENSORS Conference, SENSORS 2018

Y2 - 28 October 2018 through 31 October 2018

ER -

Van Kessel TG, Ramachandran M, Klein LJ, Nair D, Hinds N, Hamann H et al. Methane Leak Detection and Localization Using Wireless Sensor Networks for Remote Oil and Gas Operations. In 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8589585. (Proceedings of IEEE Sensors). doi: 10.1109/ICSENS.2018.8589585

Methane Leak Detection and Localization Using Wireless Sensor Networks for Remote Oil and Gas Operations

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