Reactive and Proactive Approaches

Scarponi, Giordano Emrys; Paltrinieri, Nicola; Khan, Faisal; Cozzani, Valerio

doi:10.1016/b978-0-12-803765-2.00007-x

Cited by 6 publications

(10 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In general, aggregation is a very hard task for the risk analyst. In this work, reference to the aggregation rules proposed by Scarponi et al [26] has been made; these are briefly described below.…”

Section: Aggregation Of Indicatorsmentioning

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%

“…In this work, a methodology has been proposed for the integration of dynamic features into the 111 risk assessment procedure by taking into account the interaction between the plant activity and crane 112 operations. The method has been based on the approach proposed by Scarponi et al [26]. Firstly, it 113 consisted of the definition of a set of risk indicators for the load lifting and handling in a typical oil 114 and gas industry, by adapting the HSE approach.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Integrating Real-Time Monitoring Data in Risk Assessment for Crane Related Offshore Operations

Ancione

Paltrinieri

Milazzo

2020

JMSE

View full text Add to dashboard Cite

The oil and gas sector is one of the most dangerous and stringent workplaces, due to the hazardousness of materials involved as well as the critical tasks that workers have to perform. Cranes are widely used in this sector for several activities. A wrong load lifting or handling often is due to a limited visibility of working area and could bring to severe accidental scenarios, for this reason safety of these operations becomes of paramount importance. The use of safety devices, that provide an augmented vision to the crane-operator, is essential to avoid potential accidents, moreover risk analysis could benefit from the acquisition of real time information about the process. This work aims to extrapolate and adapt dynamic risk assessment concepts for crane-related operations of a typical oil and gas industry by means of the support of safety devices. To achieve this objective, a set of risk indicators, reporting continuous information about the operations that are carried out, will be defined; successively, a technique of aggregation of these indicators will also be applied with the aim to update the frequency of critical events by a proper Risk Metric Reduction Factor that accounts for the effect of the use of safety barriers.

show abstract

Section: Aggregation Of Indicatorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Integrating Real-Time Monitoring Data in Risk Assessment for Crane Related Offshore Operations

Ancione

Paltrinieri

Milazzo

2020

JMSE

View full text Add to dashboard Cite

show abstract

“…The relative importance of a safety barrier within the RB model increases with its proximity to the final major event. This importance is demonstrated by the sensitivity analysis performed on barrier i by assessing its Birnbaum-like measure I B (i) = ∂R ∂FP i (Figure 6), where R is the total risk and FP is the barrier failure probability [15,69]. The failure of a safety barrier at the beginning of a sequence of barriers can be considered relatively less critical than the failure of the last safety barrier that separates the target from a major accident.…”

mentioning

confidence: 99%

Validation of Dynamic Risk Analysis Supporting Integrated Operations Across Systems

et al. 2019

View full text Add to dashboard Cite

Dynamic risk analysis (DRA) is a novel industrial approach that aims to capture changes in operational conditions over time and quantify their effect on risk. This aspect may be advantageous for providing insight into the causal factors that have substantial risk contributions and supporting decisions related to risk control. Some DRA methods were developed by the oil and gas industry to support the integration of work processes and the cooperation across virtual clusters, e.g., between offshore and onshore systems and/or oil company and supplier. However, DRA has not been extensively adopted and limited attention is given to its validity in practical applications. The objective of this article is to illustrate how this validity can be established based on common validation approaches for risk analysis. The case study focuses on a DRA method named risk barometer that was developed to support integrated operations across the oil and gas industrial systems. The outcome of this study may serve as a basis for the validation of other DRA methods, the use of DRA in practical cases, and ultimately the achievement of integrated operations (IO) capabilities.

show abstract

“…Table 3 reports Risk Barometer steps. Further details can be found elsewhere [50,51]. Step Description Input Output 1…”

mentioning

confidence: 99%

Dynamic risk analysis for Seveso sites

Paltrinieri

Reniers

2017

Journal of Loss Prevention in the Process Industries

View full text Add to dashboard Cite

Reactive and Proactive Approaches

Cited by 6 publications

References 3 publications

Integrating Real-Time Monitoring Data in Risk Assessment for Crane Related Offshore Operations

Integrating Real-Time Monitoring Data in Risk Assessment for Crane Related Offshore Operations

Validation of Dynamic Risk Analysis Supporting Integrated Operations Across Systems

Dynamic risk analysis for Seveso sites

Contact Info

Product

Resources

About