Skip to main content
Log in

Fuzzy analyses of adverse consequences resulted from offshore pipeline failure

  • Original Paper
  • Published:
International Journal of Environmental Science and Technology Aims and scope Submit manuscript

Abstract

Risk assessment of offshore gas pipelines is a challenging task due to uncertain and vague data on failure mechanisms and the effects of events. The goal of this paper is to develop a systematic approach to overcome this uncertainty. The likelihood of a failure event is obtained via fault tree analysis, and the associated failure consequences are obtained via event tree analysis. To cope with uncertainties, the fuzzy set theory has been combined with the fault tree analysis and event tree analysis. Financial consequences of offshore pipeline failure are estimated and financial consequences are divided into economic losses, environmental damage, and human health issue. To assess the feasibility of this method, an example of its application in an offshore pipeline containing sour gas is presented. Flash fire, pool fire, and environmental damage are the most known consequences associated with offshore pipeline failure. Therefore, application of fuzzy set theory in the likelihood assessment of pipeline failure and severity of the resulting consequence can be used to incorporate uncertain and imprecise data in this field.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Aljaroudi A, Khan F, Akinturk A, Haddara M, Thodi P (2015) Risk assessment of offshore crude oil pipeline failure. J Loss Prev Process Ind 37:101–109

    Article  Google Scholar 

  • Andrews JD, Moss RT (2002) Relaibility and risk assessment, 2nd edn. Professoinal English Publishing, UK

    Google Scholar 

  • Bilo M, Kinsman PR (1997) Thermal radiated criteria used in pipeline risk assessment. J Process Saf Environ Prot 42:17–25

    Google Scholar 

  • Brito AJ, Almedia AT (2009) Multi attributerisk assessment for risk ranking of natural gas pipelines. J Reliab Eng Syst Saf 94:187–198

    Article  Google Scholar 

  • CCPS (2000) Layer of protection analysis, simplified process risk assessment by center for chemical process safety, Second edn. Wiley, New York

    Google Scholar 

  • Celik M, Miri Lavasani MR, Wang J (2010) A risk based modelling approach to enhance shipping accident investigation. J Saf Sci 48:18–27

    Article  Google Scholar 

  • Chen SJ, Hwang CL (1990) Fuzzy multiple attribute decision making methods. Lect Notes Econ Math Syst 375:289–486

    Article  Google Scholar 

  • Clemen RT, Winkler RL (1999) Combinig probablity distributions from experts in risk analysis. J Risk Anal 19:187–203

    Google Scholar 

  • CMPT (1999) A guide to quantitative risk assessment for offshore installations., s.l.:Standard University Libraries

  • Ferdous R, Khan F, Sadiq R (2013) Analyzing system safety and risks under uncertainty using a bow-tie diagram: an innovative approach. J Process Saf Environ Prot 91:1–18

    Article  CAS  Google Scholar 

  • Hameed A, Khan F (2014) A frame work to estimate risk-based shutdown interval for a processing plant. J Loss Prev Process Ind 32:18–29

    Article  Google Scholar 

  • Hong H, Xiaohong Zeng J (2012) Quantatitative risk assessment model of hazardouse chemicals leakage and application. J Saf Sci 50:1452–1461

    Article  Google Scholar 

  • HSE UK (2015) hse.gov.uk. http://oilandgasuk.co.uk/wpcontent/uploafs/2015/07HS093

  • Hu X, Wang L, Liu Y, Ge R, Tan L, Fu Ch, Wei Z (2012) Structure design and optimization of a new type of subsea pipeline connector. J Mar Sci 11:106–110

    Google Scholar 

  • ISO 20815 (2008) Petroleum,petrochemical and natural gas industries production assurance and reliability management (ISO 20815,2008) s.l., British standard

  • Jo YD, Ahn BJ (2002) Anaylsis of hazard areas associaated with high-pressure natural-gas pipelines. J Loss Prev Process Ind 15:179–188

    Article  Google Scholar 

  • Kasaeyan M, Wang J, Jenkinson I, Miri Lavasani MR (2011) Fuzzy consequence modeliling of hydrocarbon offshore pipeline. Int J Mar Eng Liverp Logist Offshore Mar Res Inst 1:3–12

    Google Scholar 

  • Khaleghi S, Givehchi S, Karimi S (2013) Fuzzy risk assessment and categorization, based on event tree analysis (ETA) and layer of protection analysis (LOPA). J World Appl Program 9:417–426

    Google Scholar 

  • Khan F, Rathnayaka S, Ahmed S (2015) Methods and models in process safety and risk management: past, present and future. J Process Saf Environ Prot 98:116–147

    Article  CAS  Google Scholar 

  • Kwang HCH, Chi SL, Dong MR, Bon YK, Kim MH, Jae ML (2015) Comparison of computational and analytical methods for evaluation of failure pressure of subsea pipelines containing internal and external corrosions. J Mar Sci Technol 21:369–384

    Google Scholar 

  • Lu L, Liang W, Zhang L, Zhang H, Lu Z, Shan J (2015) A comprehensive risk evaluation method for natural gas pipelines by combining a risk matrix with a bow-tie model. J Nat Gas Sci Eng 25:124–133

    Article  Google Scholar 

  • Markowski AS, Mannan MS, Bigoszewska A (2009) Fuzzy logic for process safety analysis. J Loss Prev Process Ind 22:695–702

    Article  Google Scholar 

  • Miri Lavasani MR, Wang J, Yang Z, Finlay J (2011) Application of fuzzy fault tree analysis on oil and gas offshore pipelines. Int J Mar Sci Eng 1:29–42

    Google Scholar 

  • Misra KB, Weber GG (1990) Use of fuzzy set theory for level-I studies in proabilistic risk assessment. Fuzzy Sets Syst 37:139–160

    Article  Google Scholar 

  • Nakomcic B, Cepic Z, Cepic M, Stajic T (2014) Data analysis of the flue gas emissions in the thermal-power plant firing fuel oil and natural gas. Environ J 11:269–280

    Google Scholar 

  • Onisawa T (1988) An approach to human reliability in man-machine systems using error possibility. J Fuzzy Sets Syst 27:87–103

    Article  Google Scholar 

  • Safy M, Moharamnejad N, Danehkar S, Jozi A (2015) Developing an appropriate mathematical model for the environmental risk assessment of jack-up drilling rigs. Int J Environ Sci Technol 12:3125–3132

    Article  Google Scholar 

  • Shahriar A, Sadiq R, Tesfamariam S (2012) Risk analysis for oil & gas pipelines, a sustainability assessment approach using fuzzy based bow-tie analysis. J Loss Prev Process Ind 25:505–523

    Article  Google Scholar 

  • Sklavounos S, Rigas F (2006) Estimation of safety distances in the vicinity of fuel gas pipelines. J Loss Prev Process Ind 19:24–31

    Article  Google Scholar 

  • Sugeno M (1999) Fuzzy modeling and control, 1st edn. CRC Press, Florida

    Google Scholar 

  • Sutton I (2010) Offshore safety management, 1st edn. William Andrew, Norwich

    Google Scholar 

  • U.S. Department of Transportation (2014) Pipeline and Hazardous Materials Safety Administration (PHMSA). http://www.phmsa.dot.gov/hazmat/library/data-stats/incidents. Accessed 5 July 2016

  • Yang M, Khan F, Amyotte P (2015) Operational risk assessment. J Process Saf Environ Prot 97:70–79

    Article  CAS  Google Scholar 

  • Yuhua D, Datao Y (2005) Estimation of failure probability of oil and gas transmission pipeline by fuzzy fault tree analysis. J Loss Prev 18:83–88

    Article  Google Scholar 

  • Zadeh AL (1965) Fuzzy sets. J Inf Control 8:338–353

    Article  Google Scholar 

  • Zhang FY, Bai Y, Badaruddin MF, Tuty S (2009) Quantitative risk assessment & leak detection criteria for a subsea oil export pipeline. J Mar Sci Appl 8:168–174

    Article  Google Scholar 

Download references

Acknowledgements

Thanks to five anonymous domain experts for their input and insight without which this study would not have been possible. This study has not been supported by any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. M. R. Miri Lavasani.

Additional information

Editorial responsibility: M. Abbaspour.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pahlevan, A., Miri Lavasani, S.M.R., Omidvari, M. et al. Fuzzy analyses of adverse consequences resulted from offshore pipeline failure. Int. J. Environ. Sci. Technol. 16, 5643–5656 (2019). https://doi.org/10.1007/s13762-018-1908-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13762-018-1908-3

Keywords

Navigation