Dynamic quantitative risk assessment of accidents induced by leakage on offshore platforms using DEMATEL-BN

International Journal of Naval Architecture and Ocean Engineering

Volumn 11, Issue 1, 2019, Pages 22-32

  Meng, Xiangkun ^a   Chen, Guoming ^a   Zhu, Gaogeng ^a   Zhu, Yuan ^a  

^a CHINA UNIVERSITY OF PETROLEUM   (China)

Author keywords

Accident; Bayesian network; DEMATEL; Dynamic; Leakage; Offshore platform; Quantitative risk

Indexed keywords

ACCIDENTS; BAYESIAN NETWORKS; DECISION MAKING; DRILLING PLATFORMS; DYNAMICS; LEAKAGE (FLUID);

DECISION MAKING TRIAL AND EVALUATION LABORATORIES; DEMATEL; OCCURRENCE PROBABILITY; OFF SHORE PLATFORMS; POSTERIOR PROBABILITY; QUANTITATIVE RISK; QUANTITATIVE RISK ASSESSMENT; SYSTEM VULNERABILITY;

RISK ASSESSMENT;

EID: 85044955327     PISSN: 20926782     EISSN: 20926790     Source Type: Journal    
DOI: 10.1016/j.ijnaoe.2017.12.001     Document Type: Article

References (39)

1. Abimbola, M., Khan, F., Khakzad, N., Butt, S., Safety and risk analysis of managed pressure drilling operation using Bayesian network. Saf. Sci. 76 (2015), 133–144.
2. Abimbola, M., Khan, F., Khakzad, N., Dynamic safety risk analysis of offshore drilling. J. Loss Prev. Process. Ind. 30 (2014), 74–85.
3. Adedigba, S.A., Khan, F., Yang, M., Dynamic safety analysis of process systems using nonlinear and non-sequential accident model. Chem. Eng. Res. Des. 111 (2016), 169–183.
4. Adedigba, S.A., Khan, F., Yang, M., Process accident model considering dependency among contributory factors. Process Saf. Environ. Protect. 102 (2016), 633–647.
5. Adedigba, S.A., Khan, F., Yang, M., Dynamic failure analysis of process systems using neural networks. Process Saf. Environ. Protect. 111 (2017), 529–543.
6. Amyotte, P.R., Berger, S., Edwards, D.W., Gupta, J.P., Hendershot, D.C., Khan, F.I., Willey, R.J., Why major accidents are still occurring. Cur. Opin. Chem. Eng. 14 (2016), 1–8.
7. Akyuz, E., Celik, E., A fuzzy DEMATEL method to evaluate critical operational hazards during gas freeing process in crude oil tankers. J. Loss Prev. Process. Ind. 38 (2015), 243–253.
8. Berner, C., Flage, R., Strengthening quantitative risk assessments by systematic treatment of uncertain assumptions. Reliab. Eng. Syst. Saf. 151 (2016), 46–59.
9. Bhandari, J., Abbassi, R., Garaniya, V., Khan, F., Risk analysis of deepwater drilling operations using Bayesian network. J. Loss Prev. Process. Ind. 38 (2015), 11–23.
10. Bobbio, A., Portinale, L., Minichino, M., Ciancamerla, E., Improving the analysis of dependable systems by mapping fault trees into Bayesian networks. Reliab. Eng. Syst. Saf. 71:3 (2001), 249–260.
11. Cai, B., Liu, Y., Fan, Q., Zhang, Y., Yu, S., Liu, Z., Dong, X., Performance evaluation of subsea BOP control systems using dynamic Bayesian networks with imperfect repair and preventive maintenance. Eng. Appl. Artif. Intell. 26:10 (2013), 2661–2672.
12. Cai, B., Liu, Y., Liu, Z., Tian, X., Zhang, Y., Ji, R., Application of Bayesian networks in quantitative risk assessment of subsea blowout preventer operations. Risk Anal. 33:7 (2013), 1293–1311.
13. Cai, B., Liu, Y., Ma, Y., Huang, L., Liu, Z., A framework for the reliability evaluation of grid-connected photovoltaic systems in the presence of intermittent faults. Energy 93 (2015), 1308–1320.
14. Cai, B., Liu, Y., Zhang, Y., Fan, Q., Liu, Z., Tian, X., A dynamic Bayesian networks modeling of human factors on offshore blowouts. J. Loss Prev. Process. Ind. 26:4 (2013), 639–649.
15. Deyab, M.S., Mohammed, T., Khan, F., Failure Analysis of the Offshore Process Component Considering Causation Dependence, vol. 113, 2018, 220–232.
16. Kalantarnia, M., Khan, F., Hawboldt, K., Dynamic risk assessment using failure assessment and Bayesian theory. J. Loss Prev. Process. Ind. 22:5 (2009), 600–606.
17. Kalantarnia, M., Khan, F., Hawboldt, K., Modelling of BP Texas City refinery accident using dynamic risk assessment approach. Process Saf. Environ. Protect. 88:3 (2010), 191–199.
18. Khakzad, N., Khan, F., Amyotte, P., Dynamic risk analysis using bow-tie approach. Reliab. Eng. Syst. Saf. 104 (2012), 36–44.
19. Khakzad, N., Khan, F., Amyotte, P., Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network. Process Saf. Environ. Protect. 91 (2013), 46–53.
20. Khakzad, N., Khan, F., Paltrinieri, N., On the application of near accident data to risk analysis of major accidents. Reliab. Eng. Syst. Saf. 126 (2014), 116–125.
21. Khakzad, N., Reniers, G., Abbassi, R., Khan, F., Vulnerability analysis of process plants subject to dominoeffects. Reliab. Eng. Syst. Saf. 154 (2016), 127–136.
22. Khan, F., Rathnayaka, S., Ahmed, S., Methods and models in process safety and risk management: past, present and future. Process Saf. Environ. Protect. 98 (2015), 116–147.
23. Li, W., Zhang, L., Liang, W., An accident causation analysis and taxonomy (ACAT) model of complex industrial system from both system safety and control theory perspectives. Saf. Sci. 92 (2017), 94–103.
24. Li, X., Chen, G., Zhu, H., Quantitative risk analysis on leakage failure of submarine oil and gas pipelines using Bayesian network. Process Saf. Environ. Protect. 103 (2016), 163–173.
25. Meel, A., Seider, W.D., Plant-specific dynamic failure assessment using Bayesian theory. Chem. Eng. Sci. 61 (2006), 7036–7056.
26. Meel, A., Seider, W.D., Real-time risk analysis of safety systems. Comput. Chem. Eng. 32 (2008), 827–840.
27. Mentes, A., Akyildiz, H., Yetkin, M., Turkoglu, N., A FSA based fuzzy DEMATEL approach for risk assessment of cargo ships at coasts and open seas of Turkey. Saf. Sci. 79 (2015), 1–10.
28. OGP UK, Risk Assessment Data Directory: Risers and Pipeline Release Frequencies. 2010 http://www.ogp.org.uk/pubs/434-04.pdf.
29. OREDA Participants, Offshore Reliability Data Handbook. Det Norske Veritas (DNV), Norway, 2002.
30. Paik, J.K., Czujko, J., Kim, B.J., Seo, J.K., Ryu, H.S., Ha, Y.C., Musial, B., Quantitative assessment of hydrocarbon explosion and fire risks in offshore installations. Mar. Struct. 24:2 (2011), 73–96.
31. Paltrinieri, N., Khan, F., Dynamic Risk Analysis in the Chemical and Petroleum Industry. 2016, Butterworth Heinemann.
32. Pranesh, V., Palanichamy, K., Saidat, O., Peter, N., Lack of dynamic leadership skills and human failure contribution analysis to manage risk in deep water horizon oil platform. Saf. Sci. 92 (2017), 85–93.
33. Tan, Q., Chen, G., Chang, Y., Fu, J., Dynamic risk analysis of high-sulfur wellhead gas-liquid separator based on Bayesian method. J. China Univ. Petrol. 37:6 (2013), 129–134.
34. Tan, Q., Chen, G., Zhang, L., Fu, J., Li, Z., Dynamic accident modeling for high-sulfur natural gas gathering station. Process Saf. Environ. Protect. 92:6 (2014), 565–576.
35. Vinnem, J.E., Evaluation of offshore emergency preparedness in view of rare accidents. Saf. Sci. 49:2 (2011), 178–191.
36. Vinnem, J.E., Offshore Risk Assessment: Principles, Modelling and Applications of QRA Studies. third ed., 2014 (Stavanger, Norway).
37. Vinnem, J.E., Uncertainties in a risk management context in early phases of offshore petroleum field development. J. Loss Prev. Process. Ind. 32 (2014), 367–376.
38. Wang, W., Su, J., Ma, D., Tian, J., Integrated risk assessment of complex disaster system based on a non-linear information dynamics model. Sci. China Technol. Sci. 55:12 (2012), 3344–3351.
39. Zarei, E., Azadeh, A., Khakzad, N., Aliabadi, M.M., Mohammadfam, I., Dynamic safety assessment of natural gas stations using Bayesian network. J. Hazard Mater. 321 (2017), 830–840.