Pipeline Monitoring System: A Feasibility Study

Aibinu, M A; A, Ojo J; O, Oke A; Bala, J A; Solomon, Ian; Idowu, P O

doi:10.14445/22312803/ijctt-v69i2p111

Cited by 6 publications

(3 citation statements)

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“…( 7), the response time of the system for direct SN to RN communication is 3.07018sec in a range of 1km. This result shows that WDAS has a better response time performance compared to existing data acquisition systems discussed in Adegboye et al (2019), Febaide & Uzedhe (2021) and Aibinu et al, (2021) as shown in Table 2.…”

Section: Data Acquisition Methodsmentioning

confidence: 69%

Leveraging on low-cost devices for wireless data acquisition in remote pipeline networks

Febaide,

Uzedhe

2023

Nig. J. Technol. Dev.

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Pipeline infrastructures are the most used means of transporting oil and gas from extraction point to production and sales point. These pipelines are exposed to various attacks either by natural occurrences, indiscriminate human activities around pipelines or direct criminal sabotage, and therefore require constant monitoring. The use of low-cost wireless devices for pipeline data acquisition as it applies to remote and difficult terrain is presented. Different methods and models have been suggested in literature with several existing systems such as SCADA, DCS, and satellite spectral imaging currently in use for pipeline operations. Among the challenges here is the need for lower operational costs, even at reduced response time demand. The Wireless Data Acquisition System (WDAS) presented simulates a pipeline system in a testbed in which a petroleum product is caused to flow and its parameters read, processed as data and wirelessly transmitted, through a wireless sensor network, to a remote device for monitoring. Results indicate a very short response time of about 3.0sec in the simulation at a percentage accuracy of 0.07% over 1km. It also shows that low-cost wireless sensor networking can provide a cost-effective means for pipeline infrastructure management and should be explored.

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Section: Data Acquisition Methodsmentioning

confidence: 69%

Leveraging on low-cost devices for wireless data acquisition in remote pipeline networks

Febaide,

Uzedhe

2023

Nig. J. Technol. Dev.

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“…Still, it does not provide information on the possible location and cause of spillage [11] [12]. Other methods include human surveillance assisted by dogs [13], computational and technological solutions such as satellite remote sensing, unmanned aerial vehicles, acoustic, accelerometer, and ground penetration [6]. Furthermore, once the spill is detected, a joint investigation (JIV) team comprising relevant stakeholders is deployed to the field to ascertain the cause of the spill and gather additional information on the volume of the spill, area and ecosystem affected [14].…”

Section: Introductionmentioning

confidence: 99%

Development of a Low-Cost Prototype System for Pipeline Operational and Vandalism Spillage Detection and Validation Framework

Ekeu-Wei,

Ekeu-Wei

2024

AIT

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Crude oil spillage is a major challenge in Nigeria. It affects the environment, health, life, and livelihood of residents of the Niger Delta region, where oil is explored, processed, and transported via a network of pipelines. Oil spillage is primarily caused by vandalization/sabotage and operational issues such as corrosion, equipment failure, operation, and maintenance errors. Thus, prompt response is required to mitigate the impact of oil spills. In this study, we deployed low-cost Arduino systems, including sensors (vibration and flow), modules (GPS and Wifi) and an IoT platform (ThingSpeak) to detect spillage caused by vandalism and operational inefficiencies proactively. The results demonstrate that low-cost sensors can detect changes in the flow volume between the inflow and outflow attributable to spillage, and vibration shocks caused by vandalism can be detected and linked to the cause of the spillage and communicated in real time to inform response action. Moreover, we proposed a framework for field validation utilizing KoboToolBox (a crowdsourcing/citizen science platform). The prototype system designed and programmed showed promising results, as it could detect spillage for vandalism and operational scenarios in real-time, quantify the volume of spillage, and identify the location and time of spillage occurrence; indicators relevant for response planning to minimize the impact of oil spillage. A video demonstration of the prototype system developed is accessible via: https://youtu.be/wKa9MZvYf1w.

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“…As stated by Anejionu and colleagues in 2015, the majority of oil spill occurrences are primarily due to pipeline explosions. These explosions typically happen as a consequence of the unintentional rupture of aging and inadequately maintained pipelines, deliberate acts of sabotage on oil facilities, particularly during activities like oil bunkering (illegally extracting hydrocarbon products such as crude oil, refined fuel, and condensate), and during drilling operations at new oil sites (Aibinu, et al, 2021;Rahman & Khan, 2023). However, it is unfortunate that it is nearly impossible to provide human personnel to man the pipelines from exploration sites to the collection end (Sam, et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Internet of Things-Based Wireless Sensor Network System for Early Detection and Prevention of Vandalism/Leakage on Pipeline Installations in the Oil and Gas Industry in Nigeria

Bello,

Amadi,

Haruna Rawayau

2023

FJS

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Solving linear systems of equations stands as one of the fundamental challenges in linear algebra, given their prevalence across various fields. The demand for an efficient and rapid method capable of addressing diverse linear systems remains evident. In scenarios involving large and sparse systems, iterative techniques come into play to deliver solutions. This research paper contributes by introducing a refinement to the existing Jacobi method, referred to as the "Third Refinement of Jacobi Method." This novel iterative approach exhibits its validity when applied to coefficient matrices exhibiting characteristics such as symmetry, positive definiteness, strict diagonal dominance, and -matrix properties. Importantly, the proposed method significantly reduces the spectral radius, thereby curtailing the number of iterations and substantially enhancing the rate of convergence. Numerical experiments were conducted to assess its performance against the original Jacobi method, the second refinement of Jacobi, and the Gauss-Seidel method. The outcomes underscore the "Third Refinement of Jacobi" method's potential to enhance the efficiency of linear system solving, thereby making it a valuable addition to the toolkit of numerical methodologies in scientific and engineering domains.

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Pipeline Monitoring System: A Feasibility Study

Cited by 6 publications

References 0 publications

Leveraging on low-cost devices for wireless data acquisition in remote pipeline networks

Leveraging on low-cost devices for wireless data acquisition in remote pipeline networks

Development of a Low-Cost Prototype System for Pipeline Operational and Vandalism Spillage Detection and Validation Framework

Internet of Things-Based Wireless Sensor Network System for Early Detection and Prevention of Vandalism/Leakage on Pipeline Installations in the Oil and Gas Industry in Nigeria

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