Safety assessment of natural gas purification plant

Abstract With risks becoming more complex and diverse in natural gas purification plant (NGPP), safety evaluation approaches are required to quickly identify hazards, and effectively assess safety levels. NGPP-safety evaluation represents an essential analytic step in preventing catastrophic accidents and reducing losses. This paper presents a safety evaluation model for NGPP based on fuzzy comprehensive evaluation and improved analytic hierarchy process (F-IAHP). The assessment model is established based on the authors’ years of work experience in this field. To correct the subjectivity of the traditional weighting method, a new method used to determine the relative weight is adopted, and an evaluating index system was established for NGPP. Then the F-IAHP methods were combined to validate the safety levels of 3 representative enterprises. The results show that three NGPP plants at Moxi, Wanzhou and Zhongxian have very low risk, low risk and medium risk, respectively. These results reflect the actual safety situation of the facility. The application of this work can make the evaluation easy, effective and reliable. It is expected that this work may serve as an assistance tool for managers of enterprise in improving NGPP-safety level.

[1]  Faisal Khan,et al.  Safety Weighted Hazard Index (SWeHI): A New, User-friendly Tool for Swift yet Comprehensive Hazard Identification and Safety Evaluation in Chemical Process Industrie , 2001 .

[2]  Nahla Ben Amor,et al.  A Bayesian approach to construct bow tie diagrams for risk evaluation , 2013 .

[3]  Faisal Khan,et al.  Domino effect analysis of dust explosions using Bayesian networks , 2016 .

[4]  Guo Yu,et al.  Variable Fuzzy Sets and its Application in Comprehensive Risk Evaluation for Flood-control Engineering System , 2006 .

[5]  Hui Zhang,et al.  Risk assessment for Liwan relief well in South China Sea , 2012 .

[6]  Raymond R. Tan,et al.  Fuzzy AHP approach to selection problems in process engineering involving quantitative and qualitative aspects , 2014 .

[7]  Yonghui Song,et al.  Risk assessment methodology for Shenyang Chemical Industrial Park based on fuzzy comprehensive evaluation , 2015, Environmental Earth Sciences.

[8]  Wei Liang,et al.  Opportunistic predictive maintenance for complex multi-component systems based on DBN-HAZOP model , 2012 .

[9]  Matej Danko,et al.  The role of a commercial process simulator in computer aided HAZOP approach , 2017 .

[10]  Faisal Khan,et al.  Risk-Based Inspection and Maintenance (RBIM): Multi-Attribute Decision-Making with Aggregative Risk Analysis , 2004 .

[11]  Sufen Wang,et al.  An Improved Analytic Hierarchy Process Method for the evaluation of agricultural water management in irrigation districts of north China , 2017 .

[12]  Thomas L. Saaty,et al.  Models, Methods, Concepts & Applications of the Analytic Hierarchy Process , 2012 .

[13]  Jyh-Rong Chou,et al.  A Weighted linear combination ranking technique for multi-criteria decision analysis , 2013 .

[14]  Mohd Bakri Ishak,et al.  Optimal selection of Iron and Steel wastewater treatment technology using integrated multi-criteria decision-making techniques and fuzzy logic , 2017 .

[15]  Faisal Khan,et al.  Risk assessment of rare events , 2015 .

[16]  Fereshteh Jaderi,et al.  Fuzzy risk modeling of process operations in the oil and gas refineries , 2014 .

[17]  R. M. Chandima Ratnayake,et al.  Enhancing offshore process safety by selecting fatigue critical piping locations for inspection using Fuzzy-AHP based approach , 2016 .

[18]  Zhiqiang Long,et al.  Risk Analysis Based on AHP and Fuzzy Comprehensive Evaluation for Maglev Train Bogie , 2016 .

[19]  Metin Celik,et al.  An extension to Fuzzy Fault Tree Analysis (FFTA) application in petrochemical process industry , 2015 .

[20]  Brian Veitch,et al.  Methodology for computer aided fuzzy fault tree analysis , 2009 .

[21]  Hong Zhang,et al.  Study on Failure of Third-Party Damage for Urban Gas Pipeline Based on Fuzzy Comprehensive Evaluation , 2016, PloS one.

[22]  Brian Veitch,et al.  Methodology for Computer-Aided Fault Tree Analysis , 2007 .

[23]  Jianxun Chen,et al.  Investigation Progresses and Applications of Fractional Derivative Model in Geotechnical Engineering , 2016 .

[24]  J. Markoš,et al.  Steady States Analysis and Dynamic Simulation as a Complement in the Hazop Study of Chemical Reactors , 2005 .

[25]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[26]  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 .

[27]  Qi Li,et al.  Energy Consumption Optimization of High Sulfur Natural Gas Purification Plant Based on Back Propagation Neural Network and Genetic Algorithms , 2017 .