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Whole Systems Analysis of a High Reliability Organization

机译:高可靠性组织的整体系统分析

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In the oil and gas industry, the criticality of safety is at the heart of all projects and operations, as the direct and indirect costs of just one accident can be sufficient to make any of the major multinational companies insolvent. Safety management stands mainly on a tripod of human, technical and/or operational and organizational accident causation factors, with their safety management tools. Presently, the human and technical and/or operational factors have well-developed tools and models for preventing and mitigating their occurrence and impact, leaving the organizational factors without deployable models or tools. To close this gap in industrial accident prevention and mitigation, an organizational reliability model is proposed to provide the diagnosis of organizational reliability states, complete with recommendations and improvement opportunities in the complex, high-risk, error-prone upstream sector of the offshore oil and gas industry. This model applies two analytical paradigms; the HRO scales audit and template analysis, which are quantitative and qualitative methods respectively. Both approaches were used to assess the organizational reliability state of a multinational oil and gas company (High Reliability Organization-HRO) having offshore projects and operations in two operating regions; Norway and UK. The template analysis involved running 25 interviews with stakeholders that met the model's sampling criteria, and coding the interview themes into the template of a-priori themes derived from reviewed HRO literature. The HRO scales audit survey was also run on a wider group of 60 respondents selected based on the same sampling criteria. The weighted averages of codes on the final template were checked against the results of the HRO scales audit. The model's predictive validity was confirmed by the remarkably similar results from the qualitative and quantitative analyses, which clearly picked out fine details of the strengths and improvement opportunities in the HRO's safety management system. Sixteen (16) recommendations and improvement opportunities were provided from the model run. This paper proposes the deployment of this model for meeting the identified safety management use cases in the oil and gas industry which includes the safety first priority, activity-based safety cost reduction, which is highly topical in lowering operating costs in the current global low oil price regimes, and for contractor and supply chain safety management.
机译:在石油和天然气行业中,安全的关键性是所有项目和运营的核心,因为只有一次事故的直接和间接成本就足以使任何主要的跨国公司破产。安全管理主要在人类,技术和/或运营和组织事故因果区的三脚架上,具有其安全管理工具。目前,人力和技术和/或运营因素具有充分发放的工具和模型,用于防止和减轻其发生和影响,留下组织因素而无需可部署的模型或工具。为了缩短工业事故预防和缓解的这种差距,提出了一个组织可靠性模型,以提供组织可靠性国家的诊断,在复杂,高风险,容易出错的上游部门的复杂,高风险,易于上游部门的建议和改进机会上完成诊断。天然气工业。该模型适用两个分析范式; HRO缩放审计和模板分析,分别是定量和定性方法。两种方法都被用于评估跨国石油和天然气公司(高可靠性组织 - HRO)的组织可靠性状态,其中有两个运营区域的海上项目和运营;挪威和英国。模板分析涉及与符合模型的采样标准的利益相关者运行25采访,并将面试主题编写到来自审查的HRO文献的先验主题模板中。基于相同的采样标准选择的60名受访者的更广泛的60名受访者也运行了HRO级别审计调查。检查最终模板上的代码的加权平均值,针对HRO级别审核的结果检查。该模型的预测有效性是通过定性和定量分析的显着相似的结果证实,这明确挑选了Hro的安全管理系统中优势和改进机会的细节。从模型运行中提供了十六(16)份建议和改进机会。本文提出了该模型的部署,以满足石油和天然气行业中所确定的安全管理用例,包括安全第一优先,基于活动的安全成本减少,这在降低当前全球低油中的运营成本是高度局部的价格制度,以及承包商和供应链安全管理。

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