Data Processing for IoT in Oil and Gas Refineries
Keywords:IoT, Oil and Gas, Refining, Instrumentation, Predictive Analytics
This paper summarizes and gives examples of the using of IoT in Industry 4.0, especially in Oil and Gas Refineries. Industry 4.0 and Industrial Internet of Things (IIoT) technologies are driving digitalization driven by software and data solutions in many areas, particularly in industrial automation and manufacturing systems. Global refineries are currently all heavily instrumented, and process regulated in real-time to the millisecond. To meet the ever-increasing needs of operational demands, SCADA, Distributed Control Systems and Programmable Logic Controllers (DCS & PLCs) have grown significantly. On the other hand, certain assets and operations in a refinery are still not being monitored or evaluated in real-time. If an error occurs that causes production to be hampered, the company must bear large losses even though production stops in just a matter of minutes. This is one of the reasons why the oil and gas sector is starting to implement the Internet of Things (IoT). The overall aim of this paper is to give and summarize several papers to provide solutions for a simple process monitoring system that would enable process operators to identify any sources of abnormality quickly and easily in the process. A system is being made so that it can be accessed and transmit data remotely via a computer network and will display conditions in real-time without being limited by distance, space, and time. This will allow all previously disconnected assets and processes to be linked and monitored in real-time in a simpler, cost-effective, and easy-to-implement manner.
Leveson, N. G., Heimdahl, M. P. E., Hildreth, H., & Reese, J. D. (1994). Requirements specification for process-control systems. IEEE transactions on software engineering, 20(9), 684-707.
Hemalatha, J., Nikhil, P., Shaji, C. S., Venkata, K., & Narayana, L. (2016). Design and development of wireless flow transmitter. Paper presented at the 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).
Krutz, Ronald L. (2015). Securing SCADA System: John Wiley & Sons.
Dr. Hla Myo Tun, U Win Khine Moe, Dr. Zaw Min Naing (2009). Software Implementation for Distributed Monitoring Control Systems Based Industrial Automation Using Visual Studio.Net. Engineering e-Transaction (ISSN 1823-6379) Vol. 4, No. 1, June 2009, pp 47-50.
Rezaputra, M. D. D., Cahyono , M. R. A.. (2021). Mitsubishi Type-Q PLC Based Press Roll Automatic Control System On Building Tire Machine. Indonesian Journal of Electronics Engineering. Vol 04 No 02, 2021, 59-67.
Nimmo, I. (1995). Adequately address abnormal operations. Chemical engineering progress, 91(9).
Sotoodeh, Karan. (2021). Conceptual design and selection of a bladder type pressure compensation system for subsea actuators to prevent failure due to seawater head. International Journal on Interactive Design and Manufacturing (IJIDeM).
Lide, D. R. (2018). A century of excellence in measurements, standards, and technology: CRC Press.
Gimpel, G. (2020). Dark data: the invisible resource that can drive performance now. Journal of Business Strategy.
Kadlec, P., Gabrys, B., & Strandt, S. (2009). Data-driven soft sensors in the process industry. Computers & chemical engineering, 33(4), 795-814.
Kabugo, J. C., Jämsä-Jounela, S.-L., Schiemann, R., & Binder, C. (2020). Industry 4.0 based process data analytics platform: A waste-to-energy plant case study. International journal of electrical power & energy systems, 115, 105508
Joy, D., & Smith, D. (2019). Processing Asset Data at the Intelligent Edge: Implementation of an Industrial IoT Architecture to Drive Business Value. Paper presented at the SPE Annual Technical Conference and Exhibition.
Priyadarshy, Satyam. (2017). IoT Revolution in Oil Gas Industry. Internet of Things and Data Analytics Handbook, First Edition. John Wiley & Sons, Inc.
Reegu, F., Khan W.Z., Daud, S.M., Arshad Q., Armi N. (2020). A Reliable Public Safety Framework for Industrial Internet of Things (IIoT). 2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications.
Thumeera R. Wanasinghe, Raymond G. Gosine, Lesley Anne James, George K. I. Mann, Oscar de Silva, Peter J. Warrian. (2019). The Internet of Things in the Oil and Gas Industry: A Systematic Review. IEEE Internet of Things Journal, Vol. XX, No. X, August 2019.
Allahloh A.S., Sarfraz M. (2018). Development of The Intelligent Oil Field With Management and Control using IIoT (Industrial Internet of Things). 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES-2018).
Boyer, Stuart A. (2009). SCADA: supervisory control and data acquisition. International Society of Automation.
Atzori L, Iera A, Morabito G, Nitti M (2012) The Social Inter-net of Things (SIot)—when social networks meet the internetof things: concept, architecture and network characterization. Comput Netw56(16):3594–3608.
Abreu, David Perez, Karima Velasquez, Marilia Curado, and Edmundo Monteiro. "A resilient Internet of Things architecture for smart cities." Annals of Telecommunications (2016): 1-12.
Hao Y, Linke G, Ruidong L, Asaeda H, Yuguang F (2014) Dataclouds: enabling community-based data-centric services over the Internet of Things. IEEE Internet of Things J 1(5):472–482.
Khan W.Z., Aalsalem M.Y., Khan M.K., Hossain M.S., Atiquzzaman M. (2017). A Reliable Internet of Things based Architecture for Oil and Gas Industry. ICACT2017 February 2017 ISBN 978-89-968650-9-4.
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