Development of a new chemical process-industry accident database to assist in past accident analysis

Tauseef, S. M.; Abbasi, Tasneem; Abbasi, S. A.

doi:10.1016/j.jlp.2011.03.005

Cited by 59 publications

(24 citation statements)

References 18 publications

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“…PAA is a powerful tool, which can serve to understand accident mechanisms, design safety strategies, and extrapolation of results , . However, the experimentation proof for PAA is impractical since it is very costly to demonstrate the effects such as explosion impact to people, assets, and environment.…”

Section: Trends Of Process Industry Accidentsmentioning

confidence: 99%

“…However, the experimentation proof for PAA is impractical since it is very costly to demonstrate the effects such as explosion impact to people, assets, and environment. There are certain limitations of the PAA method, i.e., no public access to data of accidents, missing country‐specific data, easy alteration of open available information, misleading information for the same accident in different sources, and irrelevant data in analysis , , , ; therefore, handling of this tool needs proper care .…”

Section: Trends Of Process Industry Accidentsmentioning

confidence: 99%

“…Past accidents analysis (PAA) is one of the widely used methods for hazard identification, which can be performed by analyzing the accident information to provide the trends of different accident scenarios and assisting sustainable process designs . Initial accident databases use simple keywords for matching purposes, which has caused accident repetition in database search.…”

Section: Introductionmentioning

confidence: 99%

“…Using this gap, Chung and Jefferson presented the idea of computerized databases and developed the first prototype database. Detailed information regarding the necessity and use of accident databases is available in literature , , .…”

Section: Introductionmentioning

confidence: 99%

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Review of Process Industry Accidents Analysis towards Safety System Improvement and Sustainable Process Design

et al. 2019

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Risk assessment is the tool for maintaining perfect safety management systems and aiding sustainable process design, with hazard identification as the critical step. This step can be executed by past accidents analysis (PAA) to achieve the mentioned objectives. Despite of available analyses, the recurring of accidents identifies the shortcomings in PAA and requires a detailed examination as reported in this review. The intensified exploration of accident information will strengthen both the safety management system at existing facilities and process designing in terms of sustainability.

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Section: Trends Of Process Industry Accidentsmentioning

confidence: 99%

Section: Trends Of Process Industry Accidentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Review of Process Industry Accidents Analysis towards Safety System Improvement and Sustainable Process Design

et al. 2019

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“…When an accident occurs, the consequences can be very serious. Historical examples include the Bhopal tragedy [1], the Piper Alpha [2], the Flixborough disaster [3], BP Texas City [4], the West Fertilizer explosion [5], the Tianjin explosion, etc. [6] (details of these events are shown in Table 1).…”

Section: Introductionmentioning

confidence: 99%

Dynamic Semi-Quantitative Risk Research in Chemical Plants

et al. 2019

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When a major accident occurs in a chemical industry park, it directly affects the personal safety of operators and neighboring residents and causes major losses; therefore, we should take measures to strengthen the management of chemical industry parks. This article proposes and analyzes a new dynamic semi-quantitative risk calculation model for chemical plants that can be applied digitally. This model provides a sustainable, standardized, and comprehensive management strategy for the safety management of chemical plants and chemical industry park managers. The model and its determined parameters were applied to the safety management of chemical companies within the chemical industry park of Quzhou, Zhejiang Province. From the point of view of the existing semi-quantitative model, the existing problems of the current model are analyzed, the current model is optimized, and a new dynamic semi-quantitative calculation model scheme is proposed. The new model uses an analytical hierarchy process targeting the factors affecting the risks in chemical plants, and chemical plant semi-quantitative dynamic calculation system consisting of the operator, process/equipment, risk, building environment, safety management, and domino effect, and the comprehensive risk of the chemical plant was calculated. The model is ultimately a real-time quantitative value, but its calculation process can compare and analyze the causes of high risk in a chemical plant as they relate to these six factors. Its implementation requires only software, which will greatly help chemical plant safety management.

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