A Real-Time Oil Pipeline Anti-Intrusion System Using Acoustic Sensors

Ononiwu, G. C.; Eze, P. U.; Onojo, O. J.; Ezeh, G. N.; Dike, Damian O.; Igbojiaku, S. I.; Nnodi, O. C.

doi:10.9734/bjast/2014/11480

Cited by 3 publications

(5 citation statements)

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“…From the research conducted, the following requirements are needed for any pipeline monitoring system to work properly, especially for long distance pipeline [1], [9], [10]:…”

Section: Pipeline Surveillance System Requirementsmentioning

confidence: 99%

“…Tampering in the pipelines may lead to leakage and environmental pollution, which reflects negatively on the lives and property. Therefore, there is a need to monitor the pipelines for safe use, in order to identify the violations when they occur to be handled by specialists [1]. Great efforts made by the oil companies to reduce the incidence of leakage and environmental pollution.…”

Section: Introductionmentioning

confidence: 99%

“…However, these measures rely heavily on human factor in monitoring since they did not achieve the desired results. Some did not adopt web-based and facing delay, whereas others cannot allow real-time monitoring [1], [3], [4], [5]. On the other hand, others have not the ability to take pictures and video to find out the reason for leakage or failure and to produce sabotage events report before their occurrence [6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Two Levels Alert Verification Technique for Smart Oil Pipeline Surveillance System (SOPSS)

al.¹

2019

IJCDS

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The paper describes the design and implementation of a remote Smart Oil Pipeline Surveillance System (SOPSS), with the ability to detect and report vandalism activities in the pipeline system before it takes place via SMS, email or by a phone call. The proposed system enriches with a vast range of sensors to increase sensing capability and accuracy. Furthermore, a visual check added to overcome false alarms, where a video camera integrated with the system software to capture video footage and tracking the abnormal events. The results prove that the system can achieve monitoring and reporting in real-time, with a reduction in the utilized data size to reach 97%. This will increase bandwidth efficiency to 96%. In addition, this system small in size, portable and cost-effective. Therefore, the proposed system considered as an efficient technology for different monitoring purposes.

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“…From the research conducted, the following requirements are needed for any pipeline monitoring system to work properly, especially for long distance pipeline [1], [9], [10]:…”

Section: Pipeline Surveillance System Requirementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Two Levels Alert Verification Technique for Smart Oil Pipeline Surveillance System (SOPSS)

al.¹

2019

IJCDS

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“…The basic rule of operation of broadly used pipeline checking frameworks, for example, the Distributed Acoustic Sensors (DAS) is revolved around discovery of sound minor departure from the pipeline [14]. In spite of the innovation utilized as part of the discovery and the technique for sign handling utilized, the major amount being distinguished and read is sound.…”

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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“…While the former traces encroachment on pipeline coating, the latter is used for monitoring changes in the sound generated by a pipeline in operation. Ononiwu et al [12] developed and implemented a real-time oil pipeline monitoring system, equipped with acoustic sensors, that detects audio signals (from intruders) which are transmitted through wires laid along the pipeline.…”

mentioning

confidence: 99%

Towards Prevention of Oil/Gas Pipelines Vandalism

Imouokhome

Onibere

2018

The Egyptian International Journal of Engineering Sciences and

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Simulation of the detection, identification and classification of the vibration signature of oil/gas pipelines in response to acts of vandalism is presented in this paper. In a real experimental field work, vibration signal data were acquired from a sample oil/gas steel pipe subjected to different excitation forces from human traffic, vehicular traffic, and impact on the pipe by separately using a hammer and a drilling machine. The data acquired from the use of a drilling machine were used as the reference input data to an intelligent system modelled to classify the vibration data during a simulation process by the use of the MATLAB fuzzy logic toolbox. During the simulation process, the frequency and power components of the vibration data were fuzzified into five linguistic variables each. Results from the simulation shows that the triangular membership function is most appropriate for use in the intelligent system. Results from the simulation also show that a relatively uniform vibration output value of 1.0 (on a scale of 0 to 1), being the desired output, was achieved. This value serves as an ideal value that can be used for the design of a system to detect and diagnose an act of vandalism on oil/gas pipelines. Any values outside of this would not be regarded as a force due to an act of vandalism.

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A Real-Time Oil Pipeline Anti-Intrusion System Using Acoustic Sensors

Cited by 3 publications

References 0 publications

Two Levels Alert Verification Technique for Smart Oil Pipeline Surveillance System (SOPSS)

Two Levels Alert Verification Technique for Smart Oil Pipeline Surveillance System (SOPSS)

Multi-Sensor Approach for Monitoring Pipelines

Towards Prevention of Oil/Gas Pipelines Vandalism

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