The development of an intelligent sensor for the monitoring of pipeline system integrity
Umeadi, Bonny B.N. and Jones, K.G. (2008) The development of an intelligent sensor for the monitoring of pipeline system integrity. In: SPE Russian oil and gas technical conference and exhibition 2008 : 28-30 October 2008, Moscow, Russia. Society of Petroleum Engineers, New York, USA. ISBN 9781605607795 (doi:10.2118/115503-MS)Full text not available from this repository.
This paper presents experimental studies that integrate and develop a prototype sensor to monitor, analyse and communicate any changes in oil/gas/water pipeline performance in such a way that reduces pipeline failures and the associated disruption to supply, damage to the environment and cost to the company. In the oil steel pipeline systems industry alone, the financial implications of pipeline failures have been estimated at £2.5 billion year.
Further, current methods of detection rely on periodic inspection which misses more occurrences of failure than it identifies. What is needed is a semi-continuous monitoring system that not only recognises imminent pipeline failure characteristics but also automatically transmits a warning to a central control centre.
This paper reports the findings of a laboratory based test programme to evaluate the potential for vibration sound emission detection to form the basis of such an early warning system. Attenuation and waveform analysis were used to identify theoretical changes in the flow characteristics of a liquid medium as it passed along a damaged section of pipe.
The effectiveness of piezoelectric sensors to detect the changed flow characteristics were evaluated for a range of artificially induced defects. The flow characteristics were analysed (using spectrum analysis of the signal across a number of frequency bands) and compared to the theoretical predictions. The results show that a piezoelectric vibration sound emission sensor can detect changes in the flow characteristics of water and diesel oil to a level of accuracy that could form the basis of an integrated wireless sensor device. Further qualitative diagnosis theory can form the basis of an algorithm which could be used to associate the changed flow characteristics with underlying pipeline defects without third party intervention.
|Item Type:||Conference Proceedings|
|Title of Proceedings:||SPE Russian oil and gas technical conference and exhibition 2008 : 28-30 October 2008, Moscow, Russia|
|Additional Information:|| Document ID: SPE-115503-PP.  This paper was prepared for presentation at the 2008 SPE Russian Oil & Gas Technical Conference and Exhibition, held in Moscow, Russia, 28–30 October 2008. This paper was selected for presentation by an SPE program committee following review of information contained in an abstract submitted by the author(s). Contents of the paper have not been reviewed by the Society of Petroleum Engineers and are subject to correction by the author(s). The material does not necessarily reflect any position of the Society of Petroleum Engineers, its officers, or members. Electronic reproduction, distribution, or storage of any part of this paper without the written consent of the Society of Petroleum Engineers is prohibited. Permission to reproduce in print is restricted to an abstract of not more than 300 words; illustrations may not be copied. The abstract must contain conspicuous acknowledgment of SPE copyright.|
|Uncontrolled Keywords:||integrated, wireless-sensors, oil, pipeline, vibration, monitor, analysis, report|
|Subjects:||Q Science > QC Physics
T Technology > TJ Mechanical engineering and machinery
|School / Department / Research Groups:||School of Architecture, Design & Construction
Faculty of Architecture, Computing & Humanities > School of Architecture, Design & Construction
School of Architecture, Design & Construction > Department of Architecture & Urbanism
Faculty of Architecture, Computing & Humanities > School of Architecture, Design & Construction > Department of Architecture & Urbanism
|Last Modified:||05 Jan 2012 15:56|
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