Dynamic Risk Analysis in the Chemical and Petroleum Industry 2016
DOI: 10.1016/b978-0-12-803765-2.00006-8
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Proactive Approaches of Dynamic Risk Assessment Based on Indicators

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Cited by 8 publications
(13 citation statements)
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“…The risk model used in the RB takes into account the status of most critical barriers, whose performance has a significant impact on risk. The information related to the status of these barriers is collected by a set of indicators [26]. The RB method consists of seven main steps [15]:…”
Section: Familiarization With the Risk Barometer Dynamic Risk Analysis Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The risk model used in the RB takes into account the status of most critical barriers, whose performance has a significant impact on risk. The information related to the status of these barriers is collected by a set of indicators [26]. The RB method consists of seven main steps [15]:…”
Section: Familiarization With the Risk Barometer Dynamic Risk Analysis Methodsmentioning
confidence: 99%
“…Furthermore, the generic information employed for this step includes studies of sand production during extrusion of hydrocarbon [54], risk indicators [4,26,42,[61][62][63], and expression of barrier criticality [19,29,49,[64][65][66][67][68].…”
Section: Materials Engineermentioning
confidence: 99%
“…This method, named TEC2O (Frequency modification methodology based on TEChnical Operational and Organizational factors) is based on periodic revision and updates of indicators whose contribution can modify the expected leak frequency [9]. Indicators are quantitative parameters that can be monitored, modified, and updated over time [31]. The authors developed the method to assess risk in a dynamic way and validated it by means of a benchmark with similar approaches, such as API 581 [13], ARAMIS Project [1], and CCPS [32].…”
Section: Technical Operational and Organizational Factorsmentioning
confidence: 99%
“…Tools providing real time monitoring of safety have also been proposed, as an example Kanes et al [24], based on pre-identified risk factors and process safety related data, quantified increases in risk level in oil and gas industry by using Bayesian Networks. Dynamic risk assessment techniques based on proactive indicators, such as those suggested by Paltrinieri et al [25], Scarponi et al [26], Scarponi and Paltrinieri [27], can bring additional benefits, since risk analysis is supplemented by information related to early warnings of unwanted events. The integration of a set of collected indicators may provide risk assessment with dynamic and proactive features.…”
Section: Introductionmentioning
confidence: 99%
“…Data collection and processing, for the purpose of DRA, take advantage of information technology. Paltrinieri et al [25] classified dynamic risk assessment techniques based on proactive indicators in four levels by referring to the basic theory and provided results. The first level concerns the use of safety indicators and takes into account the effect of technical, human, and organization factors.…”
Section: Introductionmentioning
confidence: 99%