Reliable monitoring of oil and gas pipelines using wireless sensor network (WSN) &amp;#x2014; REMONG

Saeed, Husnain; Salman, A.J.; Rashid, Sidra; Qaisar, Saad; Felemban, Emad

doi:10.1109/sysose.2014.6892493

Cited by 55 publications

(34 citation statements)

References 8 publications

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“…Można spośród nich wyróżnić metody akustyczne [2,23], obserwacje bezpośrednie (np. termowizyjne, wykorzystanie tresowanych psów) [21,23], obserwacje ciśnień i przepływów [3,4,5,8,11,12,18,20,22,23], wykorzystanie metod komputerowych (sieci neuronowe, filtry Kalmana) [1,9,10,17,23,25]. Wszystkie te metody mają swoje słabe i mocne strony.…”

Section: Discussionunclassified

“…The entire process of gas leaks from pipelines diagnosing could be classify as four sub processes [9,19,21,23,24]: determining the occurrence of the leak, locating the place of its occurrence, determining whether the outflow is intentional (gas withdrawal) whether it is the result of pipeline damage, estimating of the outflow rate.…”

Section: Introductionmentioning

confidence: 99%

“…Among them could be distinguished: acoustic methods [2,23], direct observations (e.g. thermovision, use of trained dogs) [21,23], pressure and flow observations [3,4,5,8,11,12,18,20,22,23], use of computer methods (neural networks, Kalman filters) [1,9,10,17,23,25].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Possibility of Phase Shift Model Usage for Identification of Gas Leakage from Pipeline with Corrective Elements

Grądzki

Golak

Lindstedt³

2019

Journal of KONBiN

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Proposed method of leakage identification uses a parametric model in the form of signals phase shift (φ). Signals from the test stand will be used: r1, r2 - signals from the corrective elements connected to the tested pipeline, pressure signals x, mass flow y and simulated mass flow yw. For these signals, their auto and cross power spectral densities are determined: Sxx, Syy, Srr, Sxy, Sxr, Syr, which are the basis to determine spectral transfer functions described as the relations between these signals and next the phase shifts (φ). Thanks that, we get a large set of transfer functions, hence a large set of phase shifts between the measured.

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Section: Discussionunclassified

Section: Introductionmentioning

confidence: 99%

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Analysis of Possibility of Phase Shift Model Usage for Identification of Gas Leakage from Pipeline with Corrective Elements

Grądzki

Golak

Lindstedt³

2019

Journal of KONBiN

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“…In [18], the authors investigated and proposed an oil and gas pipeline monitoring solution based on wireless sensor networks with reliability focus on leakage sensing and wireless data communication. The system is developed indigenously and provides capability of reporting pipeline health related statistics stretched over large geographical areas.…”

Section: Related Workmentioning

confidence: 99%

Multi-Sensor Approach for Monitoring Pipelines

Aliyu¹,

Agbo²,

Muslim³

et al. 2017

IJEM

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Pipeline vandalization is one of Nigeria's economy killer, since Nigeria economy to a great extent relies on oil in that capacity. Therefore, a third party damage to petroleum pipelines can be cataclysmic if undetected and prevented. This act results in budgetary misfortunes, ecological contamination and incessant death and loss of properties worth millions as an aftereffect of vandalization. Consequently, it is very paramount to protect these pipelines from vandals through intelligent monitoring systems. Several efforts have been made towards providing a reliable monitoring system for oil pipeline, however, no practically implementable solution have been achieved. Therefore, a pipeline monitoring system using multi-sensors is presented herewith. The sensor array consists of a Passive Infrared (PIR), vibration and sound sensor. An uninvolved infrared (PIR) sensor was utilized to detect intruders before they get in contact with the pipeline and for affirmation of intruders, sound and vibration sensor were set up. As the PIR recognizes an on-coming human the sound and vibration sensors affirms if the human is an intruder(s). An intrusion message containing the location of the vandals is sent to the appropriate authority by the microcontroller via a connected GSM module. Results obtained proved the system as a viable solution for detecting pipeline vandals.

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“…The efficient underwater communication poses significant problems due to intrinsic absorption nature of water. Currently, there has been a growing awareness in monitoring underwater media, analysis of water quality, water pollution monitoring [12], [13] such as biological, chemical and nuclear, micro-organism or fish movement tracking, pressure movements, temperature movement, disaster prevention, underwater oil and gas pipeline corrosion detection, military and home land security application [14], [15]. The acoustic signal also faces many problems due to high error rate, low available bandwidth, node mobility, less propagation speed, a wide class of security threats and malicious attacks and high end to end delay [16], [17].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Survey on the Performance Analysis of Underwater Wireless Sensor Networks (UWSN) Routing Protocols

Mahmood¹,

Akhtar²,

Daudpota³

et al. 2019

IJACSA

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The probe of innovative technologies is a furious issue of the day for the improvement of underwater wireless sensor network devices. The undersea is a remarkable and mystical region which is still unexplored and inaccessible on earth. Interest has been increasing in monitoring the medium of underwater for oceanographic data collection, surveillance application, offshore exploration, disaster prevention, commercial, scientific investigation, attack avoidance, and other military purposes. In underwater milieus, the sensor networks face a dangerous situation due to intrinsic water nature. However, significant challenges in this concern are high power consumption of acoustic modem, high propagation latency in data transmission, and dynamic topology of nodes due to wave movements. Routing protocols working in UWSN has low stability period due to increased data flooding which causes nodes to expire quickly due to unnecessary data forwarding and high energy consumption. The quick energy consumption of nodes originates large coverage holes in the core network. To keep sensor nodes functional in an underwater network, dedicated protocols are needed for routing that maintain the path connectivity. The path connectivity consumes more energy, high route updated cost with a high end to end delay for the retransmission of packets. So, in this paper, we are providing a comprehensive survey of different routing protocols employed in UWSN. The UWSN routing protocols are studied and evaluated related to the network environment and quality measures such as the end to end delay, dynamic network topology, energy consumption and packet delivery ratio. The merits and demerits of each routing protocol are also highlighted.

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Reliable monitoring of oil and gas pipelines using wireless sensor network (WSN) — REMONG

Cited by 55 publications

References 8 publications

Analysis of Possibility of Phase Shift Model Usage for Identification of Gas Leakage from Pipeline with Corrective Elements

Analysis of Possibility of Phase Shift Model Usage for Identification of Gas Leakage from Pipeline with Corrective Elements

Multi-Sensor Approach for Monitoring Pipelines

A Comprehensive Survey on the Performance Analysis of Underwater Wireless Sensor Networks (UWSN) Routing Protocols

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