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Analytical Prediction of Gas Hydrate Formation Conditions for Oil and Gas Pipeline

  • Oil Production and Refining
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Abstract

Oil and gas production operations, particularly those involving subsea production systems, are frequently subjected to harsh underwater conditions characterized by low temperatures and high pressures, owing to the placement of most subsea facilities on the seabed. These challenging environmental factors often lead to the formation of gas hydrates, especially in the presence of moisture within the production fluidIn this study, A suggestion is made to employ an underwater wireless sensor network (UWSN) to showcase the viability of real-time monitoring of pipeline health conditions, aiming to mitigate problems associated with hydrate formation in oil and gas pipelines. Additionally, A predictive analytical model for gas hydrate formation in these pipelines is crafted using Aspen HYSYS simulation and Feed-Forward Artificial Neural Network (ANN) modeling. The development of this prediction model and the potential application of UWSN technology in the oil and gas production field could assist operators in making informed decisions regarding intervention processes for addressing hydrate-related challenges in pipelines.

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REFERENCES

  1. Sloan, E.D. and Koh, C.A., Clathrate Hydrates of Natural Gases, Colorado, USA: CRC Press, 2008.

    Google Scholar 

  2. Bolkeny, I., Abstract of Papers, 16th International Carpathian Control Conference (ICCC), Miskolc, Hungary, 2015. https://doi.org/10.1109/CarpathianCC.2015.7145045

  3. Wang, Z., Zhao, Y., Zhang, J., Pan, S., Yu, J., and Sun, B., Petroluem Science and Engineering, 2018, vol. 163, pp. 211–216. https://doi.org/10.1016/j.petrol.2017.12.093

    Article  Google Scholar 

  4. Sule, I. and Rahman, A., Phase Behaviour of Hydrate Formations in Oil and Gas Production in Subsea Conditions, Canada, 2014, pp. 1–6. https://doi.org/10.1109/OCEANS.2014.7003287

  5. Wang, Z., Zhang, J., Sun, B., Chen, L., Zhao, Y., and Fu, W., Chemical Engineering Science, 2017, vol. 163, pp. 145–154. https://doi.org/10.1016/j.ces.2017.01.030

    Article  CAS  Google Scholar 

  6. Wang, Z., Jianbo Zhang, L.C., and Yang Zhao, W.F.J.Y.B.S., Journal of Natural Gas and Engineering, 2018, vol. 50, pp. 364–373. https://doi.org/10.1016/j.jngse.2017.11.023

    Article  Google Scholar 

  7. Zhang, J., Wang, Z., Sun, B., and **aohui Sun, Y.L., International Journal of Heat and Mass Transfer, 2019, vol. 140, pp. 187–202. https://doi.org/10.1016/j.ijheatmasstransfer.2019.05.039

    Article  CAS  Google Scholar 

  8. Guo, Y., Sun, B., Zhao, K., and Zhang, H., Petroleum, 2016, vol. 2, pp. 296–300. https://doi.org/10.1016/j.petlm.2016.06.004

    Article  Google Scholar 

  9. Farzaneh-Gord, M., Rahbari, H.R., Bajelan, M. and Pilehvari, L., Journal of Natural Gas and Engineering, 2013, vol. 15, pp. 27–37. https://doi.org/10.1016/j.jngse.2013.09.001

    Article  CAS  Google Scholar 

  10. Wang, Y., Koh, C.A., Dapena, A., and Zerpa, L.E., Journal of Natural Gas Science and Engineering, 2018, vol. 58, pp. 126–134. https://doi.org/10.1016/j.jngse.2018.08.010.

    Article  Google Scholar 

  11. Abbasi, A. and Hashim, F.M., Abstracts of Papers, International Conference on Technology, Informatics, Management, Engineering & Environment (TIME-E), Samosir Island, North Sumantra, Indonesia, 2015, pp. 133–136. https://doi.org/10.1109/TIME-E.2015.7389761

  12. Shuker, M.T. and Ismail, F.B., Abstracts of Papers, International Petroleum Technology Conference, Bangkokk, Thailand, 2012, ID IPTC-15492-MS. https://doi.org/10.2523/IPTC-15492-MS

  13. Zhao, Q., Zheng, H.-K., Lv, R.-Q., Gu, Y.-F., Zhao, Y., and Yang, Y., Sensors and Actuators A: Physical, 2018, vol. 280, pp. 68–75. https://doi.org/10.1016/j.sna.2018.07.034

    Article  CAS  Google Scholar 

  14. Tapanses, E., Fiber Optic Sensing Solutions for Real-Time Pipeline Integrity Monitoring, vol. 3, 2014.

  15. Saeed, H., Ali, S., Rashid, S., Qaisar, S., and Felemban, E., Abstracts of Papers, 9th International Conference on System of Systems Engineering (SOSE), Adelaide, Australia, 2014, pp. 230–235. https://doi.org/10.1109/SYSOSE.2014.6892493

  16. BenSaleh, M.S., Qasim, S.M., Obeid, A.M., and Garcia-Ortiz, A., IEEE, 2013, vol. 13, pp. 128–131. https://doi.org/10.1109/CTS.2013.6567217

    Article  Google Scholar 

  17. Rehman, K. and Nawaz, F., in International Conference of Communication, Computing and Digital Systems (C-CODE), 2017, pp. 32–37. https://doi.org/10.1109/C-CODE.2017.7918897

    Article  Google Scholar 

  18. Gao, M., Foh, C.H., and Chai, J., MDPI, 2012, vol. 12, pp. 4715–4729. https://doi.org/10.3390/s120404715

    Article  Google Scholar 

  19. Obodoeze, F.C., Nwobodo, L.O., and Nwokoro, S.O., Journal of Multidisciplinary Egineering Science and Technology (JMEST), 2015, vol. 2, no. 12, pp. 3597–3602.

    Google Scholar 

  20. Mohamed, N., Jawhar, I., Al-Jaroodi, J., and Zhang, L., in 12th IEEE Internartional Conference on High Performance Computing & Communications (HPCC), Melbourne, VIC, Australia, 2010, pp. 346–353. https://doi.org/10.1109/HPCC.2010.98

  21. Morozs, N., Mitchell, P., and Zakharov, Y., Unsynchronized Dual-Hop Schedulling for Practical Data Gathering in Underwater Sensor Networks, Crown, 2018. https://doi.org/10.1109/UComms.2018.8493167

  22. Morozs, N., Mitchell, P.D., and Zakharov, Y., IEEE Networking Letter, 2019, vol. 1, pp. 120–123. https://doi.org/10.1109/LNET.2019.2925685

  23. Zhi-yuan, W., Baojiang, S., Xue-rui, W., and Zhen-nan, Z., J. Hydrogynamis, 2013, vol. 4, pp. 568–576. https://doi.org/10.1016/S1001-6058(14)60064-0

    Article  Google Scholar 

  24. Mohamed, N., Al-Muhairi, L., Al-Jaroodi, J., and Jawhar, I., Abstracts of Papers, International Conference on High Performance Computing & Simulation (HPCS), Bologna, Italy, 2014, pp. 877–884. https://doi.org/10.1109/HPCSim.2014.6903782

  25. Jawhar, I., Mohamed, N., Al-Jaroodi, J., and Zhang, S., IEEE Transaction on Industrial Informatics, 2019, vol. 15, pp. 1329–1340. https://doi.org/10.1109/TII.2018.2848290

    Article  Google Scholar 

  26. Fares, A.D., Process Simulation Using Aspen HYSYS V8, 2016.

  27. Al-Saiti, F., Alzeidi, N., Day, K., and Touzene, A., Computer Network, 2019, vol. 162. https://doi.org/10.1016/j.comnet.2019.106869

    Article  Google Scholar 

  28. Song, J., Han, S., Mok, A., Chen, D., Lucas, M., Nixon, M., and Pratt, W., 2008 IEEE Real-Time and Embedded Technology and Applications Symposium, St. Louis, MO, USA, 2008, pp. 377–386. . https://doi.org/10.1109/RTAS.2008.15

    Article  Google Scholar 

  29. Husøy, T.S., Knudsen, F.R., Gjelstad, B., and Furdal, A., in Proceedings of the 7th International Conference on Underwater Networks & Systems, 2012, pp. 1–5. https://doi.org/10.1145/2398936.2398957

  30. Hasan, M.H., Hassan, Q.A., Amit, S.K., and Amin, M.R., ASPEN-HYSYS Simulation of Natural Gas Processing Plant & Analysis of Different Operating Parameters, 2016. https://doi.org/10.13140/RG.2.1.1245.4001

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Funding

This work was supported by ongoing institutional funding. No additional grants to carry out or direct this particular research were obtained.

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Authors and Affiliations

  1. Smart Power Generation Unit, Institute of Power Engineering (IPE), Universiti Tenaga Nasional, 43000, Kajang, Malaysia

    Firas Basim Ismail & M. Iezzul Firdaus Yuhana

  2. Department of Chemical and Petrochemical Engineering, College of Engineering and Agriculture, University of Nizwa, 616, Nizwa, Sultanate of Oman

    Salam A. Mohammed

  3. Department of Chemical Engineering, University of Technology-Iraq, 18310, Baghdad, Iraq

    Laith S. Sabri

Authors
  1. Firas Basim Ismail
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  2. M. Iezzul Firdaus Yuhana
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  3. Salam A. Mohammed
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Correspondence to Firas Basim Ismail.

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Ismail, F.B., Yuhana, M.I.F., Mohammed, S.A. et al. Analytical Prediction of Gas Hydrate Formation Conditions for Oil and Gas Pipeline. Russ J Appl Chem (2024). https://doi.org/10.1134/S107042722401004X

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  • DOI: https://doi.org/10.1134/S107042722401004X

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