Risk evaluation of oil and natural gas pipelines due to natural hazards using fuzzy fault tree analysis
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Abbasbandy, 2009, A new approach for ranking of trapezoidal fuzzy numbers, Comput. Math. Appl., 57, 413, 10.1016/j.camwa.2008.10.090
Baas, 1977, Rating and ranking of multiple-aspect alternatives using fuzzy sets, Automatica, 13, 47, 10.1016/0005-1098(77)90008-5
Basco, 2017, The vulnerability of industrial equipment to tsunami, J. Loss Prev. Process. Ind., 50, 301, 10.1016/j.jlp.2016.11.009
Brito, 2009, Multi-attribute risk assessment for risk ranking of natural gas pipelines, Reliab. Eng. Syst. Saf., 94, 187, 10.1016/j.ress.2008.02.014
Busini, 2011, Definition of a short-cut methodology for assessing earthquake-related Na-Tech risk, J. Hazard Mater., 192, 329
Campedel, 2008, Extending the quantitative assessment of industrial risks to earthquake effects, Risk Anal., 28, 1231, 10.1111/j.1539-6924.2008.01092.x
CCPS, 2000
Christopherson, 2014
Cozzani, 2014, Quantitative assessment of domino and NaTech scenarios in complex industrial areas, J. Loss Prev. Process. Ind., 28, 10, 10.1016/j.jlp.2013.07.009
Cozzani, 2010, Industrial accidents triggered by flood events: analysis of past accidents, J. Hazard Mater., 175, 501, 10.1016/j.jhazmat.2009.10.033
Cruz, 2009, Hazardous-materials releases from offshore oil and gas facilities and emergency response following Hurricanes Katrina and Rita, J. Loss Prev. Process. Ind., 22, 59, 10.1016/j.jlp.2008.08.007
Cruz, 2011, Analysis of tsunami impact scenarios at an oil refinery, Nat. Hazards, 58, 141, 10.1007/s11069-010-9655-x
Cruz, 2008, Methodology for preliminary assessment of Natech risk in urban areas, Nat. Hazards, 46, 199, 10.1007/s11069-007-9207-1
Fang, 2003, Review of stress corrosion cracking of pipeline steels in “low” and “high” pH solutions, J. Mater. Sci., 38, 127, 10.1023/A:1021126202539
Ferdous, 2011, Fault and event tree analyses for process systems risk analysis: uncertainty handling formulations, Risk Anal., 31, 86, 10.1111/j.1539-6924.2010.01475.x
Girgin, 2013, RAPID-N: rapid natech risk assessment and mapping framework, J. Loss Prev. Process. Ind., 26, 949, 10.1016/j.jlp.2013.10.004
Green, 2015, Safety in the transportation of oil and gas: pipelines or rail?, Fraser Inst, 1–14
Gul, 2019, Pythagorean fuzzy VIKOR-based approach for safety risk assessment in mine industry, J. Saf. Res., 10.1016/j.jsr.2019.03.005
Gul, 2017, Occupational health and safety risk assessment in hospitals: a case study using two-stage fuzzy multi-criteria approach, Hum. Ecol. Risk Assess. Int. J., 23, 187, 10.1080/10807039.2016.1234363
Guzman Urbina, 2017, Measuring the benefit of investing in pipeline safety using fuzzy risk assessment, J. Loss Prev. Process. Ind., 45, 116, 10.1016/j.jlp.2016.11.018
Hsi-Mei, 2001, Aggregation of fuzzy opinions under group decision making, vol. 1, 279
Kappes, 2012, Challenges of analyzing multi-hazard risk: a review, Nat. Hazards, 64, 1925, 10.1007/s11069-012-0294-2
Kenarangui, 1991, Event-tree analysis by fuzzy probability -, IEEE Trans. Reliab., 40, 120, 10.1109/24.75348
Kirchsteiger, 1998, Absolute and relative ranking approaches for comparing and communicating industrial accidents, J. Hazard Mater., 59, 31, 10.1016/S0304-3894(97)00063-0
Korkmaz, 2011, Seismic risk assessment of storage tanks in Turkish industrial facilities, J. Loss Prev. Process. Ind., 24, 314, 10.1016/j.jlp.2011.01.003
Krausmann, 2012, Natech risk reduction in the European Union, J. Risk Res., 15, 1027, 10.1080/13669877.2012.666761
Krausmann, 2011, Industrial accidents triggered by natural hazards: an emerging risk issue, Nat. Hazards Earth Syst. Sci., 11, 921, 10.5194/nhess-11-921-2011
Krausmann, 2011, Industrial accidents triggered by earthquakes, floods and lightning: lessons learned from a database analysis, Nat. Hazards, 59, 285, 10.1007/s11069-011-9754-3
Krauthammer, 2008, A multihazard approach to insure resilient urban structures, 259
Lavasani, 2015, An extension to Fuzzy Fault Tree Analysis (FFTA) application in petrochemical process industry, Process Saf. Environ. Protect., 93, 75, 10.1016/j.psep.2014.05.001
Lu, 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, 10.1016/j.jngse.2015.04.029
Mahmood, 2013, Fuzzy fault tree analysis: a review of concept and application, Int. J. Syst. Assur. Eng. Manag., 4, 19, 10.1007/s13198-013-0145-x
Marzo, 2015, Definition of a short-cut methodology for assessing the vulnerability of a territory in natural-technological risk estimation, Reliab. Eng. Syst. Saf., 134, 92, 10.1016/j.ress.2014.07.026
Mebarki, 2016, Natural hazards, vulnerability and structural resilience: tsunamis and industrial tanks, Geomatics, Nat. Hazards Risk, 7, 5, 10.1080/19475705.2016.1181458
Michela, 2007
Miller, 1956, The magical number seven, plus or minus two: some limits on our capacity for processing information, Psychol. Rev., 101, 343, 10.1037/0033-295X.101.2.343
Misra, 1995, Multi state fault tree analysis using fuzzy probability vectors and resolution identity, 113
Misra, 1990, Use of fuzzy set theory for level-I studies in probabilistic risk assessment, Fuzzy Sets Syst., 37, 139, 10.1016/0165-0114(90)90038-8
MITT, 2015
Mohsendokht, 2017, Risk assessment of uranium hexafluoride release from a uranium conversion facility by using a fuzzy approach, J. Loss Prev. Process. Ind., 45, 217, 10.1016/j.jlp.2017.01.004
Nadim, 2013, Quantitative risk assessment for earthquake-triggered landslide using Bayesian network, Proc. 18th Int. Conf. Soil Mech. Geotech. Eng., 2221
Necci, 2016, Quantitative assessment of risk due to major accidents triggered by lightning, Reliab. Eng. Syst. Saf., 154, 60, 10.1016/j.ress.2016.05.009
Necci, 2013, A model for process equipment damage probability assessment due to lightning, Reliab. Eng. Syst. Saf., 115, 91, 10.1016/j.ress.2013.02.018
Necci, 2014, Assessment of lightning impact frequency for process equipment, Reliab. Eng. Syst. Saf., 130, 95, 10.1016/j.ress.2014.05.001
Necci, 2014, Accident scenarios triggered by lightning strike on atmospheric storage tanks, Reliab. Eng. Syst. Saf., 127, 30, 10.1016/j.ress.2014.02.005
Noor, 2014, Influence of soil moisture content on the corrosion behavior of X60 steel in different soils, Arabian J. Sci. Eng., 39, 5421, 10.1007/s13369-014-1135-2
Omidvar, 2016, Multi-hazard failure probability analysis of gas pipelines for earthquake shaking, ground failure and fire following earthquake, Nat. Hazards, 82, 703, 10.1007/s11069-016-2214-3
Onisawa, 1990, An application of fuzzy concepts to modelling of reliability analysis, Fuzzy Sets Syst., 37, 267, 10.1016/0165-0114(90)90026-3
Onisawa, 1988, An approach to human reliability in man-machine systems using error possibility, Fuzzy Sets Syst., 27, 87, 10.1016/0165-0114(88)90140-6
Organisation for Economic Co-operation and Development, 2012
Piccinelli, 2013
Prasad, 1998
Purba, 2014, A fuzzy reliability assessment of basic events of fault trees through qualitative data processing, Fuzzy Sets Syst., 243, 50, 10.1016/j.fss.2013.06.009
Rajakarunakaran, 2015, Applications of fuzzy faulty tree analysis and expert elicitation for evaluation of risks in LPG refuelling station, J. Loss Prev. Process. Ind., 33, 109, 10.1016/j.jlp.2014.11.016
Ramzali, 2015, Safety barriers analysis of offshore drilling system by employing Fuzzy event tree analysis, Saf. Sci., 78, 49, 10.1016/j.ssci.2015.04.004
Renni, 2010, Industrial accidents triggered by lightning, J. Hazard Mater., 184, 42, 10.1016/j.jhazmat.2010.07.118
Ross, 2010, Properties of membership functions, fuzzification, and defuzzification, 89
Ross, 2010, Development of membership functions, 174
Sadiq, 2008, Predicting risk of water quality failures in distribution networks under uncertainties using fault-tree analysis, Urban Water J., 5, 287, 10.1080/15730620802213504
Salzano, 2009, Risk assessment and early warning systems for industrial facilities in seismic zones, Reliab. Eng. Syst. Saf., 94, 1577, 10.1016/j.ress.2009.02.023
Senol, 2015, Fault Tree Analysis of chemical cargo contamination by using fuzzy approach, Expert Syst. Appl., 42, 5232, 10.1016/j.eswa.2015.02.027
Shan, 2018, Failure probability assessment of gas transmission pipelines based on historical failure-related data and modification factors, J. Nat. Gas Sci. Eng., 52, 356, 10.1016/j.jngse.2018.01.049
Steinberg, 2008, Natech risk and management: an assessment of the state of the art, Nat. Hazards, 46, 143, 10.1007/s11069-007-9205-3
Tanaka, 1983, Fault-tree analysis by fuzzy probability, IEEE Trans. Reliab. R-, 32, 453, 10.1109/TR.1983.5221727
Wang, 2013, Fuzzy fault tree analysis for fire and explosion of crude oil tanks, J. Loss Prev. Process. Ind., 26, 1390, 10.1016/j.jlp.2013.08.022
Yuhua, 2005, Estimation of failure probability of oil and gas transmission pipelines by fuzzy fault tree analysis, J. Loss Prev. Process. Ind., 18, 83, 10.1016/j.jlp.2004.12.003
Zeng, 2017, Risk assessment of sustained casing pressure in gas wells based on the fuzzy comprehensive evaluation method, J. Nat. Gas Sci. Eng., 46, 756, 10.1016/j.jngse.2017.08.019