A blended hazard identification methodology to support process diagnosis

A novel hazard identification methodology applied to process systems is presented in this paper. This blended hazard identification (BLHAZID) methodology blends two different types of HAZID methods: the function-driven and component-driven approach. The BLHAZID method is based on a conceptual framework called the Functional Systems Framework, which describes structure–function–goal relationships in process systems. The goals of the BLHAZID methodology are to generate outcomes that contain a high coverage of hazards, describe detailed failure causality in process systems and express this knowledge in a structured form for effective reused in subsequent applications, such as fault diagnosis, operator training, design reviews, fault and event tree construction and hazard updates to satisfy major hazard facility requirements. Both the BLHAZID methodology and the Functional Systems Framework were developed with involvement and advice from two major industrial partners. An industrial case study of a benzene saturation unit is presented to illustrate how the BLHAZID methodology operates in practice.

[1]  Venkat Venkatasubramanian,et al.  Hazopexpert: An expert system for automating HAZOP analysis , 1996 .

[2]  Yuji Naka,et al.  An upper ontology based on ISO 15926 , 2005 .

[3]  Frank Pearson Lees,et al.  Loss prevention in the process industries : hazard identification, assessment, and control , 1980 .

[4]  Raghu Raman,et al.  Process Systems Risk Management , 2013 .

[5]  Marvin Rausand,et al.  The basic concepts of failure analysis , 1996 .

[6]  Ian T. Cameron,et al.  A blended hazard identification approach to support intelligent diagnosis in process systems , 2009 .

[7]  Kurt E. Petersen,et al.  Plant functional modelling as a basis for assessing the impact of management on plant safety , 1999 .

[8]  Ian T. Cameron,et al.  An integrated functional systems approach to improving diagnosis in complex process systems , 2010 .

[9]  Andre Ivanov,et al.  An integrated functional tester for CMOS logic , 1993, Proceedings of Canadian Conference on Electrical and Computer Engineering.

[10]  Ian T. Cameron,et al.  A functional systems approach to the development of improved hazard identification for advanced diagnostic systems , 2008 .

[11]  Venkat Venkatasubramanian,et al.  A knowledge-based framework for automating HAZOP analysis , 1994 .

[12]  Ian T. Cameron,et al.  Knowledge representation, extraction and generation for supporting a semi-automatic blended hazard identification method , 2009 .

[13]  Ian T. Cameron,et al.  The P3 formalism: a basics for improved diagnosis in complex systems , 2007 .

[14]  Ian T. Cameron,et al.  Prediction-based diagnosis and loss prevention using qualitative multi-scale models , 2007, Inf. Sci..

[15]  Atoosa Jalashgar,et al.  Goal-oriented systems modelling: justification of the approach and overview of the methods , 1999 .

[16]  Ian T. Cameron,et al.  A structured, blended hazard identification framework of advanced process diagnosis , 2010 .

[17]  Venkat Venkatasubramanian,et al.  Intelligent systems for HAZOP analysis of complex process plants , 2000 .

[18]  Hans J. Pasman Learning from the past and knowledge management: Are we making progress? , 2009 .

[19]  Jan Morbach,et al.  OntoCAPE: A Re-Usable Ontology for Chemical Process Engineering , 2009 .

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

[21]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part I: Quantitative model-based methods , 2003, Comput. Chem. Eng..

[22]  F. P. Lees,et al.  HAZID, A COMPUTER AID FOR HAZARD IDENTIFICATION 1. The STOPHAZ Package and the HAZID Code: An Overview, the Issues and the Structure , 1999 .

[23]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[24]  Sten Bay Jørgensen,et al.  A functional HAZOP methodology , 2010, Comput. Chem. Eng..

[25]  Ian T. Cameron,et al.  Generating cause-implication graphs for process systems via blended hazard identification methods , 2011 .

[26]  Paul W. H. Chung,et al.  State-based modelling in hazard identification , 2003, Applied Intelligence.