C-RISE Publications in 2016

Journals

  1. Afenyo, M., Khan, F., Veitch, B., & Yang, M. (2016). An Exploratory Review of Weathering and Transport Modeling of Accidental Releases in Arctic Waters. In Arctic Technology Conference. Offshore Technology Conference. http://doi.org/10.4043/27436-MS
  2. Jujuly, M., Thodi, P., Rahman, A., & Khan, F. (2016). Computational Fluid Dynamics Modeling of Subsea Pipeline Leaks in Arctic Conditions. In Arctic Technology Conference. Offshore Technology Conference. http://doi.org/10.4043/27417-MS
  3. Thodi, P., Khan, F., & Imtiaz, S. (2016). Arctic Pipeline Integrity Management using Real-Time Condition Monitoring. In Arctic Technology Conference. Offshore Technology Conference. http://doi.org/10.4043/27372-MS
  4. Song, G., Khan, F., Yang, M., & Wang, H. (2016). Predictive Abnormal Events Analysis using Continuous Bayesian Network. ASCE-ASME J. Risk and Uncert. in Engrg. Sys., Part B: Mech. Engrg. http://doi.org/10.1115/1.4035438.
  5. B. Chen, P. Li, H. J. Wu, T. Husain, F. Khan. (2016). MCFP: A Monte Carlo Simulation-based Fuzzy Programming Approach for Optimization under Dual Uncertainties of Possibility and Continuous Probability. Journal of Environmental Informatics.
  6. Jalil Shadbahr, Faisal Khan, and Yan Zhang. (2016). Interactive Influence of Enzyme Loading and Initial Concentration of Fermentable Sugars on Simultaneous Saccharification and Fermentation of Cellulose to Ethanol. International Journal of Chemical Engineering and Applications, Vol. 7, No. 6, December 2016.
  7. Khakzad, N., Yu, H., Paltrinieri, N., & Khan, F. (2016). Reactive Approaches of Probability Update Based on Bayesian Methods. http://doi.org/10.1016/B978-0-12-803765-2.00005-6.
  8. Talebberrouane, M., Khan, F., & Lounis, Z. (2016). Availability analysis of safety critical systems using advanced fault tree and stochastic Petri net formalisms. Journal of Loss Prevention in the Process Industries, 44, 193–203. http://doi.org/10.1016/j.jlp.2016.09.007.
  9. Baksh, A.-A., Abbassi, R., Garaniya, V., & Khan, F. (2016). A network based approach to envisage potential accidents in offshore process facilities. Process Safety Progress. http://doi.org/10.1002/prs.11854.
  10. Shekari, E., Khan, F., & Ahmed, S. (2016). Probabilistic Modeling of Pitting Corrosion in Insulated Components Operating in Offshore Facilities. ASCE-ASME J. Risk and Uncert. in Engrg. Sys., Part B: Mech. Engrg. http://doi.org/10.1115/1.4034603.
  11. Khan, F., Thodi, P., Imtiaz, S., & Abbassi, R. (2016). Real-time monitoring and management of offshore process system integrity. Current Opinion in Chemical Engineering, 14, 61–71. http://doi.org/10.1016/j.coche.2016.08.015.
  12. Zainal Abidin, M., Rusli, R., Buang, A., Shariff, A. M., & Khan, F. I. (2016). Resolving inherent safety conflict using quantitative and qualitative technique. Journal of Loss Prevention in the Process Industries. http://doi.org/10.1016/j.jlp.2016.08.018.
  13. Norazahar, N., Khan, F., Veitch, B., & MacKinnon, S. (2016). Prioritizing safety critical human and organizational factors of EER systems of offshore installations in a harsh environment. Safety Science. http://doi.org/10.1016/j.ssci.2016.08.006.
  14. Dai, Y., Wang, H., Khan, F., & Zhao, J. (2016). Abnormal situation management for smart chemical process operation. Current Opinion in Chemical Engineering, 14, 49–55. http://doi.org/10.1016/j.coche.2016.07.009
  15. Amyotte, P. R., Berger, S., Edwards, D. W., Gupta, J. P., Hendershot, D. C., Khan, F. I., … Willey, R. J. (2016). Why major accidents are still occurring. Current Opinion in Chemical Engineering, 14, 1–8. http://doi.org/10.1016/j.coche.2016.07.003.
  16. Khan, F., Hashemi, S. J., Paltrinieri, N., Amyotte, P., Cozzani, V., & Reniers, G. (2016). Dynamic risk management: a contemporary approach to process safety management. Current Opinion in Chemical Engineering, 14, 9–17. http://doi.org/10.1016/j.coche.2016.07.006.
  17. Baalisampang, T, Khan, F, Garaniya, V, Chai, S & Abbassi, R. (2016). An inherently safer layout design for the liquefaction process of an FLNG plant, Royal Institution of Naval Architects. Transactions. Part A. International Journal of Maritime Engineering, 158, (A2) pp. 91-102.
  18. Islam, R., Yu, H., Abbassi, R., Garaniya, V., & Khan, F. (2017). Development of a monograph for human error likelihood assessment in marine operations. Safety Science, 91, 33–39. http://doi.org/10.1016/j.ssci.2016.07.008
  19. Bailey, J. A., Duinker, P., Amyotte, P., Adams, M., & Khan, F. (2016). Measuring energy conservation on Nova Scotia (NS) farms: A 2004 to 2011 comparison. Energy, 113, 144–152. http://doi.org/10.1016/j.energy.2016.06.140.
  20. Dadashzadeh, M., Ahmad, A., & Khan, F. (2016). Dispersion modelling and analysis of hydrogen fuel gas released in an enclosed area: A CFD-based approach. Fuel, 184, 192–201. http://doi.org/10.1016/j.fuel.2016.07.008.
  21. Afenyo, M., Khan, F., Veitch, B., & Yang, M. (2016). Dynamic fugacity model for accidental oil release during Arctic shipping. Marine Pollution Bulletin. http://doi.org/10.1016/j.marpolbul.2016.06.088.
  22. Van Staalduinen, M. A., Khan, F., & Gadag, V. (2016). SVAPP methodology: A predictive security vulnerability assessment modeling method. Journal of Loss Prevention in the Process Industries. http://doi.org/10.1016/j.jlp.2016.06.017.
  23. Abbassi, R and Bhandari, J and Khan, F and Garaniya, V and Chai, S. (2016). Developing a Quantitative Risk-based Methodology for Maintenance Scheduling Using Bayesian Network. Chemical Engineering Transactions, 48 pp. 235-240.
  24. Hashemi, S. J., Khan, F., & Ahmed, S. (2016). Multivariate probabilistic safety analysis of process facilities using the Copula Bayesian Network model. Computers & Chemical Engineering. http://doi.org/10.1016/j.compchemeng.2016.06.011
  25. Hassan, J., Thod, P., & Khan, F. (2016). Availability analysis of a LNG processing plant using the Markov process. Journal of Quality in Maintenance Engineering, 22(3). http://doi.org/10.1108/JQME-05-2012-0018.
  26. Villa, V., Paltrinieri, N., Khan, F., & Cozzani, V. (2016). Towards dynamic risk analysis: A review of the risk assessment approach and its limitations in the chemical process industry. Safety Science, 89, 77–93. http://doi.org/10.1016/j.ssci.2016.06.002.
  27. Li, J., Reniers, G., Cozzani, V., & Khan, F. (2016). A bibliometric analysis of peer-reviewed publications on domino effects in the process industry. Journal of Loss Prevention in the Process Industries. http://doi.org/10.1016/j.jlp.2016.06.003
  28. Khakzad, N., Reniers, G., Abbassi, R., & Khan, F. (2016). Vulnerability analysis of process plants subject to domino effects. Reliability Engineering & System Safety. http://doi.org/10.1016/j.ress.2016.06.004
  29. Khan, F., Wang, H., & Yang, M. (2016). Application of Loss Functions in Process Economic Risk Assessment. Chemical Engineering Research and Design. http://doi.org/10.1016/j.cherd.2016.05.022.
  30. Adedigba, S. A., Khan, F., & Yang, M. (2016). Process Accident Model Considering Dependency Among Contributory Factors. Process Safety and Environmental Protection. http://doi.org/10.1016/j.psep.2016.05.004
  31. Afenyo, M., Khan, F., Veitch, B., & Yang, M. (2016). Modeling oil weathering and transport in sea ice. Marine Pollution Bulletin, 107(1), 206–215. http://doi.org/10.1016/j.marpolbul.2016.03.070
  32. Bhandari, J., Arzaghi, E., Abbassi, R., Garaniya, V., & Khan, F. (2016). Dynamic risk-based maintenance for offshore processing facility. Process Safety Progress. http://doi.org/10.1002/prs.11829
  33. Adedigba, S. A., Khan, F., & Yang, M. (2016). Dynamic safety analysis of process systems using nonlinear and non-sequential accident model. Chemical Engineering Research and Design. http://doi.org/10.1016/j.cherd.2016.04.013
  34. ALNabhani, K., Khan, F., & Yang, M. (2016). The Importance of public participation in legislation of TENORM risks management in the oil and gas industry. Process Safety and Environmental Protection.
  35. Herath, D., Khan, F., & Yang, M. (2016). Risk-based winterization to prevent hydrate formation in northern harsh environment. Ocean Engineering. http://doi.org/10.1016/j.oceaneng.2016.04.012
  36. Abimbola, M., & Khan, F. (2016). Development of an Integrated Tool for Risk Analysis of Drilling Operations. Process Safety and Environmental Protection. http://doi.org/10.1016/j.psep.2016.04.01.
  37. Xin, P., Khan, F., & Ahmed, S. (2016). Layout Optimization of A Floating Liquefied Natural Gas Facility Using Inherent Safety Principles. Journal of Offshore Mechanics and Arctic Engineering. http://doi.org/10.1115/1.4033076
  38. Yu, H., Khan, F., & Gareaniya, V. (2016). Risk-based process system monitoring using self-organizing map integrated with loss functions. The Canadian Journal of Chemical Engineering, DOI: 10.1002/cjce.22480
  39. Z, Yuan, N Khakzad, F Khan, P Amyotte. (2016). Domino effect analysis of dust explosions using Bayesian networks. Process Safety and Environmental Protection, Volume 100, March 2016, Pages 108–116.
  40. M Abimbola, F Khan, N Khakzad. (2016). Risk-based safety analysis of well integrity operations. Safety Science, Volume 84, April 2016, Pages 149–160.
  41. H Wang, F Khan, S Ahmed, S Imtiaz.(2016). Dynamic quantitative operational risk assessment of chemical processes. Chemical Engineering Science, volume 142, 13 March 2016, Pages 62–78.
  42. K ALNabhani, F Khan, M Yang. (2016). Scenario-based Risk Assessment of TENORM Waste Disposal Options in Oil and Gas Industry. Journal of Loss Prevention in the Process Industries, volume 40, March 2016, Pages 55–66.
  43. N Ayesha, R Venkatesan, F Khan. (2016). Monitoring of down-hole parameters for early kick detection. Journal of Loss Prevention in the Process Industries, volume 40, March 2016, Pages 43–54.

Conferences

  1. Baksh, M. A., Abbassi, R., Garaniya, V., & Khan, F. (2016). An Application of BN to Envisage Potential Accidents in FLNG Facility.Proceedings of the Twelfth (2016) Pacific-Asia Offshore Mechanics Symposium, Gold Coast, Australia, October 4-7, 2016.
  2. Bhandari, J., Khan, F., Abbassi, R., Garaniya, V., & Ojeda, R. Reliability assessment of offshore asset under pitting corrosion using Bayesian Network. NACE International, CORROSION 2016, 6-10 March, Vancouver, British Columbia, Canada, 2016.

Contact

Centre for Risk, Integrity and Safety Engineering (C-RISE)

230 Elizabeth Ave, St. John's, NL, CANADA, A1B 3X9

Postal Address: P.O. Box 4200, St. John's, NL, CANADA, A1C 5S7

Tel: (709) 864-8000