Human Reliability Analysis in Major Accident Risk Analyses in the Norwegian Petroleum Industry

Gould, Kristian; Ringstad, Arne J.; Merwe, Koen van de

doi:10.1037/e572172013-419

Cited by 8 publications

(9 citation statements)

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“…This fact is very important, since different factors that contribute to human error can be re-evaluated and especially positive factors to human performance can be used for historical records and for relation to production quality and to the operators' health. Overall, SPAR-H was considered a low resource-demanding, because the total resources required are not elevated compared to the detailed level of the results (Gould et al, 2012);Forester et al (2006) considered SPAR-H a method with a proven track record due to its extensive use.…”

Section: Therp and Spar-h As Quantitative Analysis Approaches Are The Lmentioning

confidence: 99%

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Applying Analytic Hierarchy Process (AHP) to choose a human factors technique: Choosing the suitable Human Reliability Analysis technique for the automotive industry

et al. 2019

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a b s t r a c tThe Automotive industry has been developed into a complex and highly automated sector. This level of automation and complexity has led to the establishment of a work environment, where human machine interface and human reliability are now critical factors of performance especially for safety critical tasks. Many different methodologies for performing risk assessment considering human factors are already available in the literature, but they were often developed for other domains (aviation, nuclear and process industry). Their purpose is to support the root cause evaluation and estimate the probability of faulty human actions. The present paper introduces a method to support the evaluation and the choice of a suitable Human Reliability Analysis (HRA) technique for the automotive sector considering the ones proposed from other industrial domains. The Analytic Hierarchy Process (AHP) provides a way of assisting safety managers and risk assessors in the HRA technique selection process. This allows the selected HRA techniques to be evaluated based on relevant criteria for an application in an automotive manufacturing environment. An example of selected HRA techniques in this paper will be demonstrated in a case study. The example can also suggest implications to improve existing industry guidelines, international standards and regulations, which are frequently calling for a wide range of ergonomic factors to be considered in the risk assessment process. Further the case study should show potential benefits to organizations coming from the selection and application of the right HRA technique.

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Section: Therp and Spar-h As Quantitative Analysis Approaches Are The Lmentioning

confidence: 99%

“…Another problem observed in SPAR-H was that the reliability assessment results were too optimistic. It was connected to the uncertainty in the evaluation of computerbased tasks (Gould et al, 2012;Hickling and Bowie, 2013;Liu and Li, 2014).…”

Section: Simplified Plant Analysis Risk Human Reliability Assessment mentioning

confidence: 99%

Applying Analytic Hierarchy Process (AHP) to choose a human factors technique: Choosing the suitable Human Reliability Analysis technique for the automotive industry

et al. 2019

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“…It is not sufficient to consider only the technological solutions, as the human and organizational factors also are important in technological development projects in the offshore context. Qualitative human factors analyses has been used, but mainly in relation to engineering design and verification of control systems and control rooms (Aas & Skramstad, 2010;Gould, Ringstad, & van de Merwe, 2012).…”

Section: Human Factors Challenges In Offshore Drillingmentioning

confidence: 99%

A study of a technological development process: Human factors—the forgotten factors?

2016

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The aim of this study was to explore how human factors were taken into account in the development of a new type of drilling equipment. This study is part of a larger project on the understanding of human factors in the design and implementation of automated drilling technology. The principal study was a longitudinal study lasting 4 years that involved 43 interviews, offshore and onshore observations, and 2 surveys. MethodThe analysis in this paper is based on 7 informants who were either part of the design team or the paramount project team developing new automated drilling technology for an offshore oil-and gas-producing installation in the same development project, in addition to project documents. The informants were interviewed using semi-structured interviews, and grounded theory based on the coding process of Corbin and Strauss (1990) was used to analyse the data. 2 ResultsThe core category was found to be insufficient human factor analyses performed in the development phase due to the two main categories, namely 1) insufficient information coordination and 2) narrow focus in different phases of the project. This was found to contribute to increased costs, low user friendliness, and end users' insufficient knowledge of safe usage and potential risks. ConclusionOur conclusion was that homogenous top competence involving technical aspects contributed to developers' lack of understanding of the need for sufficient analyses of end user requirements and of the tasks that would be affected by the new technology. Hence, we argue that technological development could benefit from including human factors experts from the project's outset to bridge the gap between the lack of relevant information and sufficient information on which to base development decisions. In addition, we contend that performing human factors analyses throughout the development of a project would be beneficial due to the potential of hindering cultural aspects such as a non-questioning culture, which is viewed as a hazard in high-risk organizations.Keywords: human factors, human reliability, automated technology, safety, petroleum industry, technology development 3 IntroductionThe offshore oil and gas industry is considered a high-risk industry where minor incidents can lead to major accidents; thus, safety is a main priority (Årstad et al., 2010).Consequences of non-successful development and implementation of new technology have the potential of resulting in unwanted incidents and, in worst-case scenarios, major accidents.Because studies from the nuclear industry show that between 20 and 50% of incidents involve design mistakes (Taylor, 2007), it is important to involve strategies that ensure safety in technological development projects. Traditionally, the focus on safety in the development of new technology has been on technical aspects. Although lately there has been a growing focus on the human end users of the technology (ISO 11064, 2000;NORSOK, 2004 Saetren and Laumann (2015a) conducted a study where they found that too much trus...

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“…In 2012 a joint industry project was established in Norway to adapt the SPAR-H (Standardized Plant Analysis Risk-Human Reliability Analysis) method by Gertman et al (2005) to a petroleum context. SPAR-H was chosen for adaptation based on an analysis by Gould et al (2012), which evaluated a number of different methods for analyzing human reliability for post-initiator petroleum events, and concluded that SPAR-H was the most promising method for analysing these events.…”

Section: The Petro-hra Projectmentioning

confidence: 99%

Human reliability in the petroleum industry: A case study of the Petro-HRA method

Taylor¹,

Øie²,

Paltrinieri³

2016

Risk, Reliability and Safety: Innovating Theory and Practice

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This paper presents an overview of the Petro-HRA method, which was developed to analyse the human contribution to major accident risk in the petroleum industry. The paper describes a recent case study of a loss of position event that was analysed using Petro-HRA. The case study demonstrates how the Petro-HRA method enabled an in-depth investigation of the scenario, and how it revealed issues with timing, human-machine interfaces and procedures that could set the operator up to fail, and that were otherwise not evident from the Quantitative Risk Assessment model of the scenario.

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Human Reliability Analysis in Major Accident Risk Analyses in the Norwegian Petroleum Industry

Cited by 8 publications

References 0 publications

Applying Analytic Hierarchy Process (AHP) to choose a human factors technique: Choosing the suitable Human Reliability Analysis technique for the automotive industry

Applying Analytic Hierarchy Process (AHP) to choose a human factors technique: Choosing the suitable Human Reliability Analysis technique for the automotive industry

A study of a technological development process: Human factors—the forgotten factors?

Human reliability in the petroleum industry: A case study of the Petro-HRA method

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