Leveraging on Low-Cost Devices for Wireless Data Acquisition in Remote Pipeline Networks
Keywords:
Parameter, sensor, network, processing, testbed, simulationAbstract
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.
References
Abbas, M. Z.; K. A. Baker; M. Ayaz; H. Mohamed; M. Tariq; A. Ahmed and M. Faheem. (2018). Key Factors Involved in Pipeline Monitoring Techniques Using Robots and WSNs: Comprehensive Survey. Journal of Pipeline Systems Engineering and Practice, 9(2). pp. 04018001-1—0 4018001-15
Abdulwahab. N. H.; A. A. Abed and M. A. Jaber. (2022). Real-time remote monitoring and control system for underground pipelines. International Journal of Electrical and Computer Engineering (IJECE) Vol. 12, No. 5, October 2022, pp. 2088-8708, DOI: 10.11591/ijece.v12i5.pp4892-4902
Adegboye, M. A.; W. K. Fung and A. Karnik. (2019). Recent Advances in Pipeline Monitoring and Oil Leakage Detection Technologies: Principles and Approaches. Sensors, 19(11), 2548. MDPI AG. Retrieved from http://dx.doi.org/10.3390/s19112548
Aibinu, M.A.; J. A. Ojo; A. O. Oke; J.A. Bala; I. D. Solomo and P. O. Idowu. (2021). Pipeline Monitoring System: A Feasibility Study. International Journal of Computer Trends and Technology Volume 69 Issue 2, pp. 68-79. doi:10.14445/22312803/IJCTT-V69I2P111.
Allison, E. and Mandler, B. (2018). American Geoscience Institute. [Online] Available at: https://www.americangeosciences.org/geoscience-currents/transportation-oil-gas-and-refined-products [Accessed 17 September 2022].
Ameh, E. S.; S. C. Ikpeseni and L. S. Lawa. (2017). A Review of Field Corrosion Control and Monitoring Techniques of the Upstream Oil and Gas Pipelines. NIGERIAN JOURNAL OF TECHNOLOGICAL DEVELOPMENT, 14(2), pp. 67—73.
Ayadi, A.; O. Ghorbel; M. S. BenSala and M. Abid. (2022). A framework of monitoring water pipeline techniques based on sensors technologies. Journal of King Saud University - Computer and Information Sciences, 34(2), pp. 47—57.
Ejofodomi, O. A. and Ofualagba, G. (2017). Design of an Underwater Robotic Oil Spill Surveillance (UROSS) System for Surveillance and Detection of Spills from Subsea Crude Oil Pipelines. International Journal of Unmanned UROSS System Systems Engineering (IJUSEng), Vol. 6, No. 1, pp. 1—20. http://dx.doi.org/10.14323/ijuseng.2018.1
Febaide, I. C. and Uzedhe, G. O. (2021). Pipeline Control Systems: A Review of Surveillance Methods and Applications in the Nigeria Oil and Gas Sector. JOURNAL OF SCIENCE TECHNOLOGY AND EDUCATION, 9(3), pp. 169-178.
Gong, W.; M. A. Suresh; L. Smith; A. Ostfeld; R. Stoleru; A. Rasekh and M. K. Banks. (2016)
Mobile sensor networks for optimal leak and backflow detection and localization in municipal water networks. Environmental Modelling & Software, Volume 80, 2016. pp. 306-321, https://doi.org/10.1016/j.envsoft.2016.02.001.
Invento (2021). Aliexpress. [Online] Available at: www.aliexpress.com [Accessed 14 July 2022].
Khan, F.; R. Yarveisy and R. Abbassi. (2021). Risk-based pipeline integrity management: A road map for the resilient pipelines. Journal of Pipeline Science and Engineering, 1(1), pp. 74-87.
Maxim (2019). A maxim integrated products,inc. [Online] Available at: http://datasheets.maximintegrated.com/en/ds/DS18B20.pdf
Nogaj, J. (2022). Designing With Hall-Effect Sensors for Rotary Flow Meter. s.l.:Texas Instruments Incorporated.
PLX-DAQ (2021). parallax.com. [Online] Available at: https://www.parallax.com/package/plx-daq/.
Rehman, K. and Nawaz, F. (2017). Remote pipeline monitoring using wireless sensor networks. In 2017 International Conference on Communication, Computing and Digital Systems (C-CODE) (pp. 32-37). IEEE.
Singh, R.; M. Baz; C. L. Narayana; M. Rashid; A. Gehlot; S. V. Akram; S. S. Alshamrani; D. Prashar and A. S. AlGhamdi. (2021). Zigbee and Long-Range Architecture Based Monitoring System for Oil Pipeline Monitoring with the Internet of Things. Sustainability, 13(18), pp. 1—27.
Stoica, M. E.; L. Avram; I. Onutu; A. Barbulescu; C. Z. Panaitescu and T. Cristescu. (2016). Time behaviour of hydrocarbon pollutants in soils polluted with oil and salt water. Revista de Chimie, 6(7), pp. 357—361.
Upadhyay, D. and Sampalli, S. (2020). SCADA (Supervisory Control and Data Acquisition) systems: Vulnerability assessment and security recommendations. Computers and Security. Vol. 89, C (Feb 2020). pp. 1—18. https://doi.org/10.1016/j.cose.2019.101666
Varghese, S.; A. A. Panicker; A. S. Kumar; M. Sangeeth and V. Varghese. (2018). Mobile Application and Wireless Sensor Network for Pipeline Monitoring and Control. SSRG International Journal of Industrial Engineering, vol. 5, no. 1, pp. 17—20. Crossref,
https://doi.org/10.14445/23499362/IJIE-V5I1P104
Zn, L. (2021). Aliexpress. [Online] Available at: www.aliexpress.com [Accessed 16 July 2022].
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