Monitoring of leakages in crude oil/gas pipelines using a wireless system network internet of things (IoT)
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DOI: 10.67571/njeru.2021.010109
Published: January 30, 2025 | Issue: Volume 1, Issue 1
Page No. 1–9
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Email: gertrudefischer@unicross.edu.ng
1 Department of Electrical & Electronic Engineering Faculty of Engineering University of Cross River State, Calabar.
2 Department of Electrical & Electronic Engineering Faculty of Engineering University of Cross River State, Calabar.
3 Department of Electrical & Electronic Engineering Faculty of Engineering University of Cross River State, Calabar.
Received: January 2, 2025 Reviewed: January 14, 2025 Accepted: January 30, 2025
Abstract
Intrusions on oil and gas pipelines entail tremendous danger, which can be quant1ified in terms of monetary implications, environmental harm, health and safety repercussions. Safe and efficient delivery of these commodities, require accurate monitoring of the pipelines, here we present the use of an internet of things (IoT) analytics platform service to perform the real-time pipeline monitoring and determine the location of damage on a pipeline. Pressure pulses, based on the principle of vibration in pipes are used for pipeline monitoring in this study. The system comprises mainly of HK1100C oil pressure sensor, Arduino Uno board containing ESP32 Micro-controller Wi-Fi, SIM900L GSM module and powered by a DC source. The ATmega328P microcontroller was programmed in C++ programming language. When deployed in pipelines, the wireless sensor network is able to monitor oil pipelines against leaks. The principle of time delay between pulse arrivals at sensor positions is also adopted in this study. The measured velocity of pulse propagation using the data logger as fluid is 355 m/s. The Arduino and Wi-Fi module are used to produce the wireless communication link that interfaced with the cloud-based Thing Speak data collection and analytics platform. Signal data is collected on the monitoring system once every 15 s and the channels created on Thing Speak are updated every 2 min. Results show that a drop in monitored pressure is associated with a leak. The experimental results also show that the performance of the wireless communication device compare satisfactorily with the data logger.
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