An expanded HAZOP-study with fuzzy-AHP (XPA-HAZOP technique): Application in a sour crude-oil processing plant

Abstract An integrated Hazard and Operability (HAZOP) study with the Decision Risk-Matrix (DRMA) and the Fuzzy-Analytical Hierarchy-Process (FAHP) is suggested as an alternative approach to identify and prioritize potential hazards in a sour crude-oil processing plant, located in the prefecture of Eastern Macedonia region in Greece. Therefore, the aim of our work is the development and application of the expanded FAHP-HAZOP-DRMA approach (XPA-HAZOP) in this industry. Firstly, the conventional HAZOP-analysis is applied for identifying the potential fault causes of abnormal circumstances in the plant. With the combination of HAZOP with DRMA for assessing the risks, the Fuzzy-AHP process is then introduced in order to broaden HAZOP-study and prioritize the hazards of the plant. The proposed XPA-HAZOP technique could be a functional tool for the decision makers about: (i) the ranking of hazards, compared to conventional HAZOP, and (ii) the emergency of investing restricted budget in actions preventing particular type of deviations.

[1]  Jana Talasová,et al.  A fuzzy extension of Analytic Hierarchy Process based on the constrained fuzzy arithmetic , 2016, Fuzzy Optimization and Decision Making.

[2]  Ming Yang,et al.  Prioritization of environmental issues in offshore oil and gas operations: A hybrid approach using fuzzy inference system and fuzzy analytic hierarchy process , 2011 .

[3]  Muhammet Gul,et al.  Application of Pythagorean fuzzy AHP and VIKOR methods in occupational health and safety risk assessment: the case of a gun and rifle barrel external surface oxidation and colouring unit , 2018, International journal of occupational safety and ergonomics : JOSE.

[4]  P. K. Marhavilas,et al.  Risk analysis and assessment methodologies in the work sites: On a review, classification and comparative study of the scientific literature of the period 2000–2009 , 2011 .

[5]  Jan Erik Vinnem,et al.  Evaluation of methodology for QRA in offshore operations , 1998 .

[6]  T. Saaty.  How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[7]  Dimitrios E. Koulouriotis,et al.  A risk-estimation methodological framework using quantitative assessment techniques and real accidents' data : Application in an aluminum extrusion industry , 2008 .

[8]  M. Sam Mannan,et al.  What does ‘safe’ look and feel like? , 2014 .

[9]  Hing Kai Chan,et al.  When should fuzzy analytic hierarchy process be used instead of analytic hierarchy process? , 2019, Decis. Support Syst..

[10]  Yaşar Kasap,et al.  Risk assessment of occupational groups working in open pit mining: Analytic Hierarchy Process , 2017, Journal of Sustainable Mining.

[11]  Wout Dullaert,et al.  Developing an external domino accident prevention framework: Hazwim , 2005 .

[12]  D. Chang.  Applications of the extent analysis method on fuzzy AHP , 1996 .

[13]  Arafat Basheer,et al.  Methodologies for Assessing Risks of Accidents in Chemical Process Industries , 2019, Journal of Failure Analysis and Prevention.

[14]  Nima Khakzad,et al.  A multi-objective model to optimal selection of safety measures in oil and gas facilities , 2019, Process Safety and Environmental Protection.

[15]  Daniel Podgórski,et al.  Measuring operational performance of OSH management system ??? A demonstration of AHP-based selection of leading key performance indicators , 2015 .

[16]  Adam S. Markowski,et al.  Fuzzy logic approach for identifying representative accident scenarios , 2018 .

[17]  Sharmin Sultana,et al.  Hazard analysis: Application of STPA to ship-to-ship transfer of LNG , 2019, Journal of Loss Prevention in the Process Industries.

[18]  Thomas L. Saaty,et al.  On the invalidity of fuzzifying numerical judgments in the Analytic Hierarchy Process , 2007, Math. Comput. Model..

[19]  P. K. Marhavilas,et al.  Risk analysis and assessment in the worksites using the fuzzy-analytical hierarchy process and a quantitative technique – A case study for the Greek construction sector , 2019, Safety Science.

[20]  Paul Baybutt,et al.  A critique of the Hazard and Operability (HAZOP) study , 2015 .

[21]  Sylvain Kubler,et al.  A state-of the-art survey & testbed of fuzzy AHP (FAHP) applications , 2016, Expert Syst. Appl..

[22]  M. L. Preston,et al.  Twenty-five years of HAZOPs , 1995 .

[23]  Wout Dullaert,et al.  The use of current risk analysis tools evaluated towards preventing external domino accidents , 2005 .

[24]  T Mayes,et al.  The use of HAZOP hazard analysis to identify critical control points for the microbiological safety of food , 1989 .

[25]  Siri Andersen,et al.  Risk analysis and risk management approaches applied to the petroleum industry and their applicability to IO concepts , 2012 .

[26]  Mohamad Rizza Othman,et al.  Prioritizing HAZOP analysis using analytic hierarchy process (AHP) , 2016, Clean Technologies and Environmental Policy.

[27]  Adam S. Markowski,et al.  Application of the graph theory and matrix calculus for optimal HAZOP nodes order determination , 2015 .

[28]  Trevor Kletz.  Hazop—past and future , 1997 .

[29]  Xu Chen,et al.  Risk Analysis of Oilfield Gathering Station , 2018, Process Safety Progress.

[30]  T. Saaty.  There is no mathematical validity for using fuzzy number crunching in the analytic hierarchy process , 2006 .

[31]  Paul Baybutt,et al.  On the completeness of scenario identification in process hazard analysis (PHA) , 2018, Journal of Loss Prevention in the Process Industries.

[32]  Trevor A. Kletz,et al.  Hazop & Hazan: Identifying and Assessing Process Industry Hazards, Fouth Edition , 1999 .

[33]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[34]  María Teresa Lamata,et al.  Ranking of alternatives with ordered weighted averaging operators , 2004, Int. J. Intell. Syst..

[35]  D. E. Koulouriotis,et al.  Risk Assessment Using Fuzzy TOPSIS and PRAT for Sustainable Engineering Projects , 2019 .

[36]  Zhe Tian,et al.  Application of a trapezoidal fuzzy AHP method for work safety evaluation and early warning rating of hot and humid environments , 2012 .

[37]  Ali Fuat Guneri,et al.  A fuzzy AHP methodology for selection of risk assessment methods in occupational safety , 2015 .

[38]  Rodger Tomlinson,et al.  Comparison of Fuzzy-AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning , 2015, Comput. Environ. Urban Syst..

[39]  M F Chudleigh.  Hazard analysis of a computer based medical diagnostic system. , 1994, Computer methods and programs in biomedicine.

[40]  H. M. Jagtman,et al.  A support tool for identifying evaluation issues of road safety measures , 2005, Reliab. Eng. Syst. Saf..

[41]  P. K. Marhavilas,et al.  On the development of a new hybrid risk assessment process using occupational accidents’ data: Application on the Greek Public Electric Power Provider , 2011 .

[42]  Vasilis Fthenakis,et al.  Hazard and operability (HAZOP) analysis. A literature review. , 2010, Journal of hazardous materials.

[43]  Jan Maciej Kościelny,et al.  The application of a graph of a process in HAZOP analysis in accident prevention system , 2017 .

[44]  Jason Michael Woodruff,et al.  Consequence and likelihood in risk estimation: A matter of balance in UK health and safety risk assessment practice , 2005 .

[45]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[46]  David MacDonald,et al.  Practical Hazops, Trips and Alarms , 2004 .

[47]  Paul Baybutt,et al.  The role of people and human factors in performing process hazard analysis and layers of protection analysis , 2013 .

[48]  H. G Lawley.  Operability Studies and Hazard Analysis , 1974 .

[49]  Ozcan Arslan,et al.  SHARE technique: A novel approach to root cause analysis of ship accidents , 2017 .

[50]  Jelena M. Andrić,et al.  Risk Assessment of Bridges under Multiple Hazards in Operation Period , 2016 .

[51]  Junkeon Ahn,et al.  Fuzzy-based HAZOP study for process industry. , 2016, Journal of hazardous materials.

[52]  Lijie Guo,et al.  An extended HAZOP analysis approach with dynamic fault tree , 2015 .

[53]  Muhammet Gul,et al.  A fuzzy multi criteria risk assessment based on decision matrix technique: A case study for aluminum industry , 2016 .

[54]  P. K. Marhavilas,et al.  The integration of HAZOP study with risk-matrix and the analytical-hierarchy process for identifying critical control-points and prioritizing risks in industry – A case study , 2019, Journal of Loss Prevention in the Process Industries.

[55]  Wout Dullaert,et al.  Designing continuous safety improvement within chemical industrial areas , 2009 .

[56]  Wolfgang Kröger,et al.  Risk analyses of transportation on road and railway from a European Perspective , 2002 .

[57]  Nima Khakzad,et al.  A fuzzy multi-attribute HAZOP technique (FMA-HAZOP): Application to gas wellhead facilities , 2019, Safety Science.

[58]  Muhammet Gul,et al.  A review of occupational health and safety risk assessment approaches based on multi-criteria decision-making methods and their fuzzy versions , 2018 .

[59]  Paul Baybutt.  Design intent for hazard and operability studies , 2016 .

[60]  Sunil Luthra,et al.  Sustainable assessment in energy planning and management in Indian perspective , 2015 .

[61]  Hong Wang,et al.  An application of nonlinear fuzzy analytic hierarchy process in safety evaluation of coal mine , 2016 .