Development of wireless sensor nodes for data acquisition in petroleum pipelines

Isaac C. Febaide; Esther Odiki

doi:10.37121/jase.v9i1.232

Isaac C. Febaide Nigeria Martime University
Esther Odiki Department of Chemical Engineering. Teeside University, United Kingdom

DOI: https://doi.org/10.37121/jase.v9i1.232

Keywords: Data acquisition, Oil pipeline, Remote monitoring system, Wireless sensor network

Abstract

Data acquisition of parameters from oil and gas pipelines aids in the economic growth of any oil-producing nation; which in turn increases the efficiency, safety and lifespan of these pipelines significantly. This work focused on the development of the data sensors (pressure, flow and temperature sensors), Nodboxes and D-station. The Nodbox was designed using an ATmega 328p microprocessor as the control unit and an NRF 24l01+ transceiver as the wireless transmission path. Five (5) Nodboxes were designed; with one serving as the receiver at the D-station. A testbed was designed to demonstrate the reality of this system. MATLAB was used to design the GUI of the D-station to display and analyze data received graphically. Pressure, flow and temperature data were successfully transmitted from the pipeline network of the testbed to the D-station wirelessly up to a distance of 1.1km. It is cost-effective as it requires about 5 million naira to implement compared to existing systems.

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References

A. Augustine, E. Victor, U. Schola, S. Obinna and E. Simon, "Wireless Sensor Networks for Long-distance Pipeline Monitoring," World Academy of Science, Engineering and Technology, vol. 7, no. 5, pp. 82-86, 2013.

I. C. Febaide and G. O. Uzedhe, "Leveraging on Low-Cost Devices for Wireless Data Acquisition in Remote Pipeline Networks," Nigerian Journal of Technological Development, vol. 20, no. 3, pp. 154-162, 2023.

M. Stoica, L. Avram, I. Onutu, A. Barbulescu, C. Panaitescu and T. Cristescu, “Time behaviour of hydrocarbon pollutants in soils polluted with oil and salt water," Revista de Chimie, vol. 6, no. 7, pp. 357-361, 2016.

I. C. Febaide and G. O. Uzedhe, “Pipeline Control Systems: A Review of Surveillance Methods and Applications in the Nigeria Oil and Gas Sector," Journal of Science Technology and Education, vol. 9, no. 3, pp. 169-178, 2021.

N. Subramanian, “Improving Security of Oil Pipeline SCADA Systems,” Springer, pp. 344-353, 2008.

D'Andrea and Raffaello, “Distributed Control Design for Spatially Interconnected Systems,” IEEE Transactions on Automatic Control, vol. 48, no. 9, p. 1478–1495, 2003.

CNPC, "Oil/Gas Pipeline Technology," Science and Technology Management Department, 2011.

E. Otega, Methods for Detecting Crude Oil Spill, Warri, Nigeria, 2020.

H. Rasode, S. Mattoo, S. Kate and S. Satam, “RFID and GSM Based Safe Petrol Distribution System with Adulteration Prevention,” Int’l Journal of Trend in Scientific Research and Development, vol. 3, no. 3, pp. 2456-6470, 2019.

G. W, S. M, S. L, Ostfeld, S. R and R. A, “Mobile Sensor Networks for Optimal Leak and Backflow Detection and Localization in Municipal Water Networks,” Environmental Modelling & Software, vol. 80, pp. 306-321, 2016.

V. E. Augustine, S. Obinna and Simon, “Wireless Sensor Networks for Long-distance Pipeline Monitoring,” World Academy of Science, Engineering and Technology, vol. 7, no. 5, pp. 82-86, 2013.

Fawaz A, “Proposing a Secure and Reliable System for Critical Pipeline Infrastructure Based on Wireless Sensor Networks,” Journal of Software Engineering, vol. 5, no. 4, pp. 145-153, 2011.

M. Shinozuka, P. H. Chou, S. Kim, E. Yoon, H. Mustafa, D. Karmakar and S. Pul, “Non-destructive Monitoring of a Pipe Network using a MEMS-Based Wireless Network,” in SPIE Conference on Smart Structures & Materials/NDE, San Diego, 2010.

Z. Harry, “Wireless Sensors and Energy Harvesters in Harsh Environments,” IDTechEx, 2012.

Y. Pan, X. Lizhi and Z. Yuanzhong, “Remote real-time Monitoring System for Oil and Gas Well Based on Wireless Sensor Networks,” 2010.

K. Rehman and F. Nawaz, “Remote Pipeline Monitoring Using Wireless Sensor Networks,” in Int’l Conference on Communication, Computing and Digital Systems (C-CODE), 2017.

I. Stoianov, L. Nachman and S. Madden, “PIPENET: A Wireless Sensor Network for Pipeline Monitoring,” in IEEE, 2007.