HAZID, A Computer Aid for Hazard Identification

McCoy, S.A.; Wakeman, S.J.; Larkin, F.D.; Jefferson, M.; Chung, Pei-Jung; Rushton, A.G.; Lees, F.P.; Heino, Perttu

doi:10.1205/095758299530242

Cited by 40 publications

(7 citation statements)

References 41 publications

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“…In the meantime, these original methodologies were continuously extended and sometimes incorporated in computer code suite. For instance, the HAZID method (McCoy et al, 1999) is a computer application of the HAZOP methodology M A N U S C R I P T…”

Section: Improving / Modifying the Traditional Risks Analysis Methods?mentioning

confidence: 99%

Limitations of current risk assessment methods to foresee emerging risks: Towards a new methodology?

Escande

Proust

Coze

2016

Journal of Loss Prevention in the Process Industries

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Coze. Limitations of current risk assessment methods to foresee emerging risks : Towards a new methodology ?. Journal of Loss Prevention in the Process Industries, Elsevier, 2016Elsevier, , 43, pp.730-735. 10.1016Elsevier, /j.jlp.2016 M A N U S C R I P T A C C E P T E D AbstractThe objective of this work-in-progress is to investigate the potentialities but also the limitations of traditional risks analysis tools especially in the context of emerging technologies and develop a method facilitating the early detection of scenarios of accidents. This is certainly a challenge particularly for new industrial fields since, in this case, very little or no lesson from past accidents is available. It is believed that such situations cannot be conveniently treated using traditional risk assessment methods (HAZOP, FMEA,...) and typical examples are given. The reason is that those methods rely heavily on past accidents and are therefore "trapped" in them so that they are largely "inductive". In terms of foreseeing the future, the shortcomings of inductive methods are recalled. The possibility to imagine the future with very little clues is then discussed on the ground of theoretical consideration and a way to do so is proposed (abduction, serendipity). Then on the basis of the observation of how the experts work and how discoveries are made, a potential new methodology is outlined. Keywords: Decision engineering, Hazards identification, Management and planning, SafetyHighlights :• illustrated examples of various situations where standard risk analysis failed ;• illustrated examples of the successful identification of a unknown risk within the context of a formatted risk analysis exercise; • investigation of the way discoveries are made and of the potential links with the risk analysis exercise.

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Section: Improving / Modifying the Traditional Risks Analysis Methods?mentioning

confidence: 99%

Limitations of current risk assessment methods to foresee emerging risks: Towards a new methodology?

Escande

Proust

Coze

2016

Journal of Loss Prevention in the Process Industries

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“…Computer based qualitative reasoning models supporting the HAZOP process have been developed, by in effect providing "HAZOP emulation" to the HAZOP team; for example as with STOPHAZ and HAZID codes [10][11][12][13][14]. These have been developed in the main for the chemical, process and power generation plant industries, and utilise libraries of components embodying qualitative propagation models with associated effects attached, supporting the construction of complex plant models derived from their Pipe & Instrumentation Diagrams (P&ID).…”

Section: Hazop As (Semi)automated Propagation Methodsmentioning

confidence: 99%

Hazards in advising autonomy: incorporating hazard modelling with system dynamics into the aerospace safety assessment process for UAS

Downes¹,

Chung²

2011

6th IET International Conference on System Safety 2011

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“…The plant description file is written in the same format that has been used already in the HAZID tool for automated HAZOP analysis, developed for analysis of continuous process plants [8,9]. The plant description includes declarations of the equipment items in the plant, their types and the fluid flow connections between them.…”

Section: Checkopmentioning

confidence: 99%

“…A single guideword ("NO") is being considered in relation to a single operation in the operating instruction (in this case action (7), which is "valve104 open"); the state of the plant is simulated as the modified instructions are executed in sequence. It can be seen that CHECKOP detects one of the consequences of not opening the cooling water supply valve -that the reactor contents cannot be cooled in step (8). Further warnings are detected later in the procedure when the reactor overheats due to lack of cooling -these further warnings are not shown here due to lack of space.…”

Section: Application Of Checkopmentioning

confidence: 99%

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State-based modelling in hazard identification

McCoy¹,

Zhou

Chung

2006

Appl Intell

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The signed directed graph (SDG) is the most commonly used type of model for automated hazard identification in chemical plants. Although SDG models are efficient in simulating the plant, they have some weaknesses, which are discussed here in relation to typical process industry examples. Ways to tackle these problems are suggested, and the view is taken that a state-based formalism is needed, to take account of the discrete components in the system, their connection together, and their behaviour over time. A strong representation for operations and actions is also needed, to make the models appropriate for modelling batch processes. A research prototype for HAZOP studies on batch plants (CHECKOP) is also presented, as an illustration of the suggested approach to modelling.

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HAZID, A Computer Aid for Hazard Identification

Cited by 40 publications

References 41 publications

Limitations of current risk assessment methods to foresee emerging risks: Towards a new methodology?

Limitations of current risk assessment methods to foresee emerging risks: Towards a new methodology?

Hazards in advising autonomy: incorporating hazard modelling with system dynamics into the aerospace safety assessment process for UAS

State-based modelling in hazard identification

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