John Heidemann / Papers / SWATS: Wireless Sensor Networks for Steamflood and Waterflood Pipeline Monitoring

SWATS: Wireless Sensor Networks for Steamflood and Waterflood Pipeline Monitoring
SunHee Yoon, Wei Ye, John Heidemann, Brian Littlefield and Cyrus Shahabi
USC/Information Sciences Institute

Citation

SunHee Yoon, Wei Ye, John Heidemann, Brian Littlefield and Cyrus Shahabi. SWATS: Wireless Sensor Networks for Steamflood and Waterflood Pipeline Monitoring. IEEE Network Magazine. 25, 1 (Jan. 2011), 50–56. [DOI] [PDF] [alt PDF]

Abstract

State-of-the-art anomaly detection systems deployed in the oilfields are expensive, not scalable to a large number of sensors, require manual operation, and provide data with a long delay. To overcome these problems, we design a wireless sensor network system that detects, identifies, and localizes major anomalies such as blockage and leakage that arise in steamflood and waterflood pipelines in oilfields. A sensor network consists of small, inexpensive nodes equipped with embedded processors and wireless communication, which enables flexible deployment and close observation of phenomena without human intervention. Our sensor network based system, SWATS (Steamflood and WAterflood Tracking System), aims to allow continuous monitoring of the steamflood and waterflood systems with low cost, short delay, and fine granularity coverage while providing high accuracy and reliability. The anomaly detection and identification is challenging because of the inherent inaccuracy and unreliability of sensors and the transient characteristics of the flows. Moreover, observation by a single node cannot capture the topological effects on the transient characteristics of steam and water fluid to disambiguate similar problems and false alarms. We address these hurdles by utilizing multi-modal sensing and multi-sensor collaboration and exploiting temporal and spatial patterns of the sensed phenomena.

Bibtex Citation

@article{Yoon11a,
  author = {Yoon, SunHee and Ye, Wei and Heidemann, John and Littlefield, Brian and Shahabi, Cyrus},
  title = {SWATS: Wireless Sensor Networks for
                    Steamflood and Waterflood Pipeline Monitoring},
  journal = {IEEE Network Magazine},
  year = {2011},
  sortdate = {2011-01-01},
  project = {ilense, imsc, pecase, cens, cisoft},
  jsubject = {sensornet_fusion},
  volume = {25},
  number = {1},
  month = jan,
  pages = {50--56},
  location = {johnh: pafile},
  keywords = {sensornet, oilfield, steamflood, waterflood},
  doi = {http://dx.doi.org/10.1109/MNET.2011.5687953},
  url = {http://www.isi.edu/%7ejohnh/PAPERS/Yoon11a.html},
  pdfurl = {http://www.isi.edu/%7ejohnh/PAPERS/Yoon11a.pdf},
  copyrightholder = {IEEE},
  copyrightterms = {
  	Personal use of this material is permitted.  However,
  	permission to reprint/republish this material for advertising
  	or promotional purposes or for creating new collective works
          for resale or redistribution to servers or lists,
  	or to reuse any copyrighted component of this work in other works
  	must be obtained from the IEEE.
  },
  myorganization = {USC/Information Sciences Institute}
}

Copyright

Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Copyright © by John Heidemann