OPC UA Application Study in Oil and Gas Pipeline Network Monitoring Data Forwarding
DOI:
https://doi.org/10.4108/ew.5245Keywords:
OPC UA, oil and gas pipeline network, monitoring data, data forwardingAbstract
INTRODUCTION： With the continuous development of oil and gas pipeline network monitoring and control technology, the need for data transmission and communication is becoming more and more prominent. In this context, OPC UA has attracted wide attention. This study aims to explore the application of OPC UA in data forwarding for oil and gas pipeline network monitoring in order to improve the efficiency, reliability and security of data transmission.
PURPOSE: The purpose of this study is to evaluate the applicability of OPC UA in oil and gas pipeline network monitoring and to verify its performance in data forwarding through empirical studies. By gaining an in-depth understanding of the characteristics of OPC UA, it aims to provide a more advanced and efficient monitoring data transfer solution for the oil and gas industry.
METHOD: The study adopts a combination of field monitoring and laboratory simulation. First, the essential characteristics and requirements of monitoring data in oil and gas pipeline networks were collected. Subsequently, a monitoring system with OPC UA as the communication protocol was established and field tested. In the laboratory environment, data transmission scenarios under different working conditions were simulated, and the performance of OPC UA under different conditions was analyzed.
RESULT: The field monitoring results show that the data transmission efficiency is significantly improved by using OPC UA as the communication protocol for data forwarding in oil and gas pipeline network monitoring. Meanwhile, the system performs well in different environments with high reliability and security. The laboratory simulation results further verify the stability and adaptability of OPC UA under complex working conditions.
CONCLUSION: OPC UA is an effective communication protocol that can meet the data transmission requirements for oil and gas pipeline network monitoring. Its efficient, reliable, and secure characteristics make it an ideal choice for improving the communication performance of monitoring systems in the oil and gas industry. The empirical results of this study provide reliable technical support for the oil and gas industry in the field of data transmission and a vital reference for the optimization and upgrading of monitoring systems in the future.
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Agomuoh, A. E., Ossia, C. V., & Chukwuma, F. O. (2021). Asset Integrity Management in Mitigating Oil and Gas Pipeline Vandalism in the Niger Delta Region—Deep Burial Solution. World Engineering and Technology, 003, 009. DOI: https://doi.org/10.4236/wjet.2021.93039
Bang, S., Lee, H. W., & Lee, B. W. (2021). Real-time monitoring of the Vacuum Degree Based on the Partial Discharge and an Insulation Supplement Design for a Distribution Class Vacuum Interrupter. Energies, 14, 772. https://doi.org/10.3390/en14237891 DOI: https://doi.org/10.3390/en14237891
Benson, N. C., Asuquo, A. I., Inyang, E. O., & Adesola, F. A. (2021). Effect Of Green Accounting On Financial Performance Of Oil And Gas Companies In Nigeria. Journal of University of Shanghai for Science and Technology, 23, 56–88. https://doi.org/10.51201/JUSST/21/11974 DOI: https://doi.org/10.51201/JUSST/21/11974
Cao, C. (2021). Numerical study of underground CO2 storage and the utilization in depleted gas reservoirs. 45, 79–93.
Chen, Q., Wu, C., Zuo, L., Mehrtash, M., & Cao, Y. (2021). Multi-objective transient peak shaving optimization of a gas pipeline system under demand uncertainty. Computers & Chemical Engineering, 147(1), 107260. DOI: https://doi.org/10.1016/j.compchemeng.2021.107260
Chuanbao, W., Jin, H. E., Liang, L. I., & Yue, Z. (2021). Application of BIM Technology in the Construction Management of Oil and Gas Field Stations. Oil-Gas Field Surface Engineering, 68, 747–793.
Hirst, N. (2021). The Future of Oil Majors in the Energy Transition Big oil and gas companies face the prospect of losing a large part of their market as the world transitions away from fossil fuels. Can they carve out a positive role for themselves? Petroleum Economist, 10 Suppl., 88.
Kotelnikov, N., Urazova, N., & Oparina, T. (2021). Evaluation of the effectiveness of innovative solutions in the construction of oil and gas wells. IOP Conference Series: Earth and Environmental Science, 751, 74783. https://doi.org/10.1088/1755-1315/751/1/012076 DOI: https://doi.org/10.1088/1755-1315/751/1/012076
Lembo, M. F. (2022). Artificiality and Naturalness: Semi-underground Houses and Their Role in the Construction of a Sustainable Urban Landscape. Civil Engineering & Construction 16(7), 331–343. DOI: https://doi.org/10.17265/1934-7359/2022.07.002
LIJunling. (2022). Discussion on the Influence of Long-distance Oil and Gas Pipeline Construction on Environment and Protective Measures. Engineering technology, 34, 1–11.
Luo, P., Harrist, J. D., & Mesdour, R. (2022). Development of Optical Gas Sensor for Well Site Geochemical Analysis and Time-lapse Monitoring. The Saudi Aramco Journal of Technology, Spring, 56–88.
Moradi, A., Kavgic, M., Costanzo, V., & Evola, G. (2023). Impact of typical and actual weather years on the energy simulation of buildings with different construction features and under different climates. Energy, 270, 126875-. https://doi.org/10.1016/j.energy.2023.126875 DOI: https://doi.org/10.1016/j.energy.2023.126875
Myssar, Al Battbootti, Marin, I., Goga, N., & Popa, R. (2021). Oil and Gas Pipeline Monitoring during COVID-19 Pandemic via Unmanned Aerial Vehicle. arXiv E-Prints, 346, 45–77. DOI: https://doi.org/10.21125/iceri.2021.1299
Panfilov, I. A., Antamoshkin, O. A., Bukhtoyarov, V. V., & Vaitekunene, E. L. (2021). Equipment for connecting pipeline elements in oil and gas equipment using induction brazing. Journal of Physics: Conference Series, 45, 242–267. https://doi.org/10.1088/1742-6596/2094/4/042009 DOI: https://doi.org/10.1088/1742-6596/2094/4/042009
Peng, W., Ma, L., Wang, P., Cao, X., Xu, K., & Miao, Y. (2023). Experimental and CFD investigation of flow behavior and sand erosion pattern in a horizontal pipe bend under annular flow. Pipe Technology, 4, 11–25. DOI: https://doi.org/10.1016/j.partic.2022.06.003
Seghier, M. E. A. B., Hche, D., & Zheludkevich, M. (2022). Prediction of the internal corrosion rate for oil and gas pipeline: Implementation of ensemble learning techniques. Journal of Natural Gas Science and Engineering, 99, 104425-. https://doi.org/10.1016/j.jngse.2022.104425 DOI: https://doi.org/10.1016/j.jngse.2022.104425
Shah, R., Kraidi, L., Matipa, W., & Borthwick, F. (2022). Investigation of the Risk Factors Causing Safety and Delay Issues in Oil and Gas Pipeline Construction Projects. Springer, Cham, 121, 34–52. DOI: https://doi.org/10.1007/978-3-030-90532-3_24
Wang, D., Tan, Q., Yang, J., & Zhang, Z. (2021). Research on Emergency Treatment Measures for Oil and Gas Pipeline Passing Though Mining Subsidence Area. IOP Conference Series: Earth and Environmental Science, 657(1), 012106 (6pp). https://doi.org/10.1088/1755-1315/657/1/012106 DOI: https://doi.org/10.1088/1755-1315/657/1/012106
Wang, Yajian., Li, Pengpeng., & Li, Jianfeng. (2022). The monitoring approaches and non-destructive testing technologies for sewer pipelines. Water Science and Technology : A Journal of the International Association on Water Pollution Research, 85(10), 3107–3121. https://doi.org/10.2166/wst.2022.120 DOI: https://doi.org/10.2166/wst.2022.120
Xue, Y. G., Ning, Z. X., Qiu, D. H., Mao-Xin, S. U., Zhi-Qiang, L. I., Kong, F. M., Guang-Kun, L. I., & Wang, P. (2021). A study of water curtain parameters of underground oil storage caverns using time series monitoring and numerical simulation. Physics and Technology, 22(3), 17. DOI: https://doi.org/10.1631/jzus.A2000130
Yuan, J., Mao, W., Hu, C., Zheng, J., Zheng, D., & Yang, Y. (2023). Leak detection and localization techniques in oil and gas pipeline: A bibliometric and systematic review. Engineering Failure Analysis, 146, 107060-. https://doi.org/10.1016/j.engfailanal.2023.107060 DOI: https://doi.org/10.1016/j.engfailanal.2023.107060
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