Incidents Investigation and Dynamic Analysis of Large Alarm Databases in Chemical Plants: A Fluidized-Catalytic-Cracking Unit Case Study†

A novel framework to model the chronology of incidents is presented—depicting the relationship of initiating events with the various regulating and protection systems of the process—eventually leading to consequences, varying from zero to high severities. The key premise is that the departures and subsequent returns of process and product quality variables, from and to their normal operating ranges, are recognized as near-misses, which could have propagated to incidents. This leads to the availability of vast near-miss information recorded in distributed control and emergency shutdown systems databases that monitor the dynamics of the process. New performance indices, which utilize this abundant information, are introduced to conduct quantitative and qualitative (absolute and relative) assessment of the real-time safety and operability performances of an industrial fluidized-catalytic-cracking unit (FCCU) at a petroleum refinery. Also, new techniques for abnormal event tracking and recovery-time analysis ...

[1]  D. C. Brown,et al.  Too much of a good thing?-alarm management experience in BP Oil. 1. Generic problems with DCS alarm systems , 1997 .

[2]  A. M. Dowell,et al.  How to design, verify and validate emergency shutdown systems , 1995 .

[3]  Masoud Soroush,et al.  Dynamic risk analysis using alarm databases to improve process safety and product quality: Part II—Bayesian analysis , 2012 .

[4]  K. C. Tan,et al.  Intelligent alarm management in a petroleum refinery : Plant safety and environment , 2004 .

[5]  Ulku G. Oktem,et al.  Near-Miss: A Tool for Integrated Safety, Health, Environmental and Security Management , 2002 .

[6]  John Wilkinson,et al.  Better Alarm Handling — A Practical Application of Human Factors , 2002 .

[7]  Simon Jones,et al.  The importance of near miss reporting to further improve safety performance , 1999 .

[8]  Pentti J. Haapanen,et al.  Advanced control and instrumentation systems in nuclear power plants design, verification and validation : IAEA/IWG/ATWR & NPPCI Technical Committee Meeting, Espoo/Helsinki, Finland, 20-23 June 1994 , 1995 .

[9]  Neil Brown Alarm Management/The EEMUA Guidelines in Practice , 2003 .

[10]  Yoshitaka Yuki Alarm system optimization for increasing operations productivity. , 2002, ISA transactions.

[11]  Adrian L Sepeda,et al.  Lessons learned from process incident databases and the process safety incident database (PSID) approach sponsored by the Center for Chemical Process Safety. , 2006, Journal of hazardous materials.

[12]  P. T. Bullemer,et al.  Understanding and supporting abnormal situation management in industrial process control environments: a new approach to training , 1994, Proceedings of IEEE International Conference on Systems, Man and Cybernetics.

[13]  Richard Thorpe,et al.  A new method for defining and managing process alarms and for correcting process operation when an alarm occurs. , 2004, Journal of hazardous materials.

[14]  E A Bustamante,et al.  Effects of varying the threshold of alarm systems and workload on human performance , 2007, Ergonomics.

[15]  P. Andow,et al.  Abnormal Situation Management: A Major US Programme to Improve Management of Abnormal Situations , 1997 .

[16]  Masoud Soroush,et al.  Dynamic risk analysis using alarm databases to improve process safety and product quality: Part I—Data compaction , 2012 .

[17]  I. Nimmo,et al.  Industry initiative addresses 'abnormal events' : Loss Prevention/Reliability , 1998 .

[18]  A. M. Wilson,et al.  Alarm Management And Its Importance In Ensuring Safety , 1998 .

[19]  E. N. Corlett,et al.  Handbook of human reliability analysis with emphasis on nuclear power plant applications: A.D. Swain and H.E. Guttmann Draft report for interim use and comment. Office of Nuclear Regulatory Research, US Regulatory Commission, Washington DC 20555, pp 440 , 1981 .

[20]  Warren D. Seider,et al.  Plant-specific dynamic failure assessment using Bayesian theory , 2006 .

[21]  A. D. Swain,et al.  Handbook of human-reliability analysis with emphasis on nuclear power plant applications. Final report , 1983 .

[22]  Howard Kunreuther,et al.  Near‐Miss Incident Management in the Chemical Process Industry , 2003, Risk analysis : an official publication of the Society for Risk Analysis.

[23]  I. Nimmo,et al.  Adequately address abnormal operations , 1995 .

[24]  Arthur D. Fisk,et al.  Don't Let Me Down: The Role of Operator Expectations in Human-Automation Interaction , 2006 .

[25]  P. G. Brabazon,et al.  Assessing the safety of staffing arrangements for process operations , 2001 .

[26]  M. Anderson,et al.  Human Factors Integration for a New Top Tier COMAH Site: Optimizing Safety and Meeting Legislative Requirements , 2005 .

[27]  M. L. Bransby,et al.  Alarm management in the chemical and power industries-a survey for the HSE , 1997 .

[28]  Janet M. Noyes,et al.  People in control: human factors in control room design , 2001 .

[29]  Colin Howard,et al.  Alarms Management/Priority, Floods, Tears or Gain? , 2003 .

[30]  Vicki M. Bier,et al.  An Application of Copulas to Accident Precursor Analysis , 1998 .

[31]  Peter Schefczik,et al.  LUCAS - an expert system for intelligent fault management and alarm correlation , 2002, NOMS 2002. IEEE/IFIP Network Operations and Management Symposium. ' Management Solutions for the New Communications World'(Cat. No.02CH37327).

[32]  C. T. Mattiasson The alarm system from the operator's perspective , 1999 .

[33]  Ian Nimmo It's time to consider human factors in Alarm management , 2002 .

[34]  Thomas P. Ryan,et al.  Modern Engineering Statistics , 2007 .

[35]  S. Johnsen Leading Indicators of Safety In Virtual Organizations , 2006 .

[36]  Thomas R. Rohleder,et al.  Learning from incidents: from normal accidents to high reliability , 2006 .

[37]  Paul R. Kleindorfer,et al.  Predicting and confirming the effectiveness of systems for managing low‐probability chemical process risks , 2006 .

[38]  J. Noyes,et al.  Alarm systems: a guide to design, management and procurement , 1999 .