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비전통오일 시설물의 안전성 운용확보 및 평가에 관한 연구

A Study on the Safety Operation and Evaluation of Unconventional Oil Plant

  • 투고 : 2023.12.12
  • 심사 : 2023.12.19
  • 발행 : 2023.12.30

초록

본 연구에서는 전통오일의 대체자원인 비전통오일 생산플랜트의 운용에 있어서의 위험인자 및 안전성 평가를 통한 운용방안에 대하여 제시하였다. 현재 플랜트시설물이 운용되고 있으며, 비슷한 플랫폼 기반의 운용관리체계는 구간별, 장치별 진단 및 평가체계로 통합적인 관리가 쉽지 않은 현실이다. 이에 통합적인 관리시스템을 통한 운용 중심적관리시스템을 위한 평가방법을 제시하고 이에 따른 활용성을 평가하였다.

In this study aims to provide operational guidelines based on risk assessment and safety evaluation in the operation of non-traditional oil production plants, serving as alternative resources in comparison to conventional oils within the construction sector. Presently, operational facilities within these plants are active. However, integrating comprehensive management through sectional and device-specific diagnostic and evaluation systems in similar platform-based operational management systems proves to be a challenging reality. Consequently, this research introduces an evaluation methodology tailored for an operation-centric management system using an integrated management approach, and evaluates its practical applicability within the construction field.

키워드

과제정보

본 연구는 국토교통부/국토교통과학기술진흥원의 지원에 의해 수행된 연구입니다(과제번호 RS-2022-00143541).

참고문헌

  1. Choi, Y., Naidu, G., Nghiem, L.D., Lee, S., Vigneswaran, S. (2019). Membrane distillation crystallization for brine mining and zero liquid discharge: opportunities, challenges, and recent progress, Environmental Science: Water Research & Technology, 5(7), 1202-1221. https://doi.org/10.1039/C9EW00157C
  2. Choi, Y., Vigneswaran, S., Lee, S. (2016). Evaluation of fouling potential and power density in pressure retarded osmosis (PRO) by fouling index, Desalination, 389, 215-223. https://doi.org/10.1016/j.desal.2016.01.011
  3. Choi, Y.O., Kim, J.M., Ahn, B.H., Choi, B.K. (2020). Feature analysis of acoustic emission and vibration signal according to pipe cracking shape and valve opening/closing, Korean Soc, Noise and Vibration Engineering, 30(1), 5-10 [in Korean]. https://doi.org/10.5050/KSNVE.2020.30.1.005
  4. da Silva, S.S., Chiavone-Filho, O., de Barros Neto, E.L., Foletto, E.L. (2015). Oil removal from produced water by conjugation of flotation and photo-fenton processes, Journal of environmental management, 147, 257-263. https://doi.org/10.1016/j.jenvman.2014.08.021
  5. Kim, Y., Woo, Y.C., Phuntsho, S., Nghiem, L.D., Shon, H.K., Hong, S. (2017). Evaluation of fertilizer-drawn forward osmosis for coal seam gas reverse osmosis brine treatment and sustainable agricultural reuse, Journal of Membrane Science, 537, 22-31. https://doi.org/10.1016/j.memsci.2017.05.032
  6. Li, S., Song, Y., Zhou, G. (2018). Leak detection of water distribution pipeline subject to failure of socket joint based on acoustic emission and pattern recognition, Measurement, 115, 39-44. https://doi.org/10.1016/j.measurement.2017.10.021
  7. Meng, L., Yuxing, L., Wuchang, W., Juntao, F. (2012). Experimental study on leak detection and location for gas pipeline based on acoustic method, Journal of Loss Prevention in the Process Industries, 25(1), 90-102. https://doi.org/10.1016/j.jlp.2011.07.001
  8. Min, B.H., Kim, M., Kwon, S.Y. (2022). Production methods of unconventional oils, Journal of the KSME, 62(7), 30-35 [in Korean].
  9. Mostafapour, A., Davoudi, S. (2013). Analysis of leakage in high pressure pipe using acoustic emission method, Applied Acoustics, 74(3), 335-342. https://doi.org/10.1016/j.apacoust.2012.07.012
  10. Xiao, R., Hu, Q., Li, J. (2019). Leak detection of gas pipelines using acoustic signals based on wavelet transform and support vector machine, Measurement, 146, 479-489. https://doi.org/10.1016/j.measurement.2019.06.050