Barrier Integrity Management: An Innovative Approach for Managing Process Safety Risks in Oil and Gas Assets

Decarli, Luca; Scataglini, Luciano; Cherubin, Paolo; Rosa, Laura La

doi:10.2118/199472-ms

Cited by 5 publications

(2 citation statements)

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“…unplanned or uncontrolled events during which a Loss Of Primary Containment (LOPC) of any substance, including non-toxic and nonflammable material, occurs ("API RP 754" 2021). The availability and safety of the systems is achieved with multiple and independent barriers, which prevent the occurrence and mitigate the consequences of PSEs (Decarli et al 2020). Assessing the performance of the safety barriers is a fundamental step of Quantitative Risk Assessment (QRA), which aims at modelling and quantitatively estimating the risk of PSEs in hydrocarbon production assets (Zhang et al 2018).…”

Section: Introductionmentioning

confidence: 99%

A Method based on Natural Language Processing for Periodically Estimating Variations of Performance of Safety Barriers in Hydrocarbon Production Assets

Valcamonico,

Baraldi,

Zio

et al. 2023

Proceeding of the 33rd European Safety and Reliability Conference

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This work develops a methodology for estimating the performance of safety barriers of hydrocarbon production assets using reports of Process Safety Events (PSEs). We address the challenge of dealing with assets that evolve, e.g., due to degradation of components or maintenance interventions, so that also the performances of the safety barriers vary in time. The proposed methodology combines a taxonomy of the words used in the reports, a method of Natural Language Processing (NLP) for the extraction of the keywords, which takes into account the time of occurrence of the PSEs, and a technique for estimating the barrier performance from the number and severity of PSEs involving the barrier. The proposed methodology is validated using a repository of reports of PSEs in hydrocarbon production plants.

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Section: Introductionmentioning

confidence: 99%

A Method based on Natural Language Processing for Periodically Estimating Variations of Performance of Safety Barriers in Hydrocarbon Production Assets

Valcamonico,

Baraldi,

Zio

et al. 2023

Proceeding of the 33rd European Safety and Reliability Conference

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“…Safety of people, environment and asset from major accidents in hydrocarbon facilities is achieved with preventive and mitigative barriers. The assessment of the performance of the barriers is, then (Decarli et al 2020). Traditionally Risk Assessments (RAs) are based on hazard identification, evaluation of accident probabilities and consequences, and risk estimation (Feng et al 2012;Vinnem et al 2012;Zio 2018).…”

Section: Introductionmentioning

confidence: 99%

A Taxonomy for Modelling Reports of Process Safety Events in the Oil and Gas Industry

Valcamonico¹,

Baraldi²,

Zio³

et al. 2022

Book of Extended Abstracts for the 32nd European Safety and Reliability Conference

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The Process Safety Management System (PSMS) of an industrial asset relies on multiple and independent barriers for preventing the occurrence of major accidents and/or mitigating their consequences on people, environment, asset and company reputation. It is, then, fundamental to assess the performance of the barriers with respect to the occurrence of Process Safety Events (PSEs), i.e. unplanned or uncontrolled events during which a Loss Of Primary Containment (LOPC) of any material, including non-toxic and non-flammable material, occurs. An essential aspect of PSMS is learning from incidents and taking corrective actions to prevent their recurrence. For this, a procedure for timely and consistently reporting and investigating PSEs is generally implemented. After the occurrence of a PSE, a report containing free-text and multiple-choice fields is filed to describe the PSE, its causes and consequences, and to provide a quantification of its the level of severity with reference to predefined Tier levels, as per API RP 754 guidelines. This work investigates the possibility of text-mining and structuring the knowledge on the performance of the PSMS from an electronic repository of PSE reports. The methodology developed falls within the framework of Natural Language Processing (NLP), combining Term Frequency Inverse Document Frequency (TFIDF) and Normalized Pointwise Mutual Information (NPMI) for the automatic extraction of keywords from the PSE reports. Then, a taxonomy is built to organize the vocabulary in a top-down structure of homogeneous categories, such that semantic and functional relations between and within them can be defined. Based on these relations, a Bayesian Network (BN) is developed for modeling the PSEs consequences. The proposed methodology is applied to a repository of real reports concerning the PSEs of hydrocarbon facilities of an Oil and Gas (O&G) company.

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Natural Language Processing and Bayesian Networks for the Analysis of Process Safety Events

Valcamonico

Baraldi

Zio

2021

2021 5th International Conference on System Reliability and Safety (ICSRS)

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Barrier Integrity Management: An Innovative Approach for Managing Process Safety Risks in Oil and Gas Assets

Cited by 5 publications

References 1 publication

A Method based on Natural Language Processing for Periodically Estimating Variations of Performance of Safety Barriers in Hydrocarbon Production Assets

A Method based on Natural Language Processing for Periodically Estimating Variations of Performance of Safety Barriers in Hydrocarbon Production Assets

A Taxonomy for Modelling Reports of Process Safety Events in the Oil and Gas Industry

Natural Language Processing and Bayesian Networks for the Analysis of Process Safety Events

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