Since the beginning of the well-drilling activities of oil and gas industry, in the 19th century, these activities have presented specific risks that, over the course of their evolution to the present day, have greatly increased their potential to cause harm to people, the environment, and corporate sustainability. Stimulated by the world’s energy needs, especially in developed and growing countries, the technology used by the O&G industry has evolved significantly, not only to increase production and profit levels, but also to reduce the risks of these activities, using reliable automation and other barriers to worker protection. However, despite all this investment, accidents such as the Deepwater Horizon, in 2010, and Odebrecht NS-32, in 2017, shown that there are still gaps in this process of evolution of protection systems, especially those used in highly complex systems such as offshore oil rigs. In addition, inevitably, the technological contribution implemented in offshore drilling systems increases their complexity and, consequently, also increases the complexity of the relationship between workers, systems, machines, and environment, definitively characterizing oil rigs as complex socio-technical systems. Keeping that in mind, a FRAM model was developed to understand the levels of complexity and show the relevant human factors that are critical for the safe operations of these workplaces, considering the natural and variability that emerges from these labour scenarios. Some functions of the FRAM model built presented significant variability, as function “Perform drilling operations”, where the most significant variabilities were observed in its 10 outputs, causing a large resonance within the model, once their couplings, mostly in their control aspects, can vary in terms of time and precision.

中文翻译：

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以人为因素分析海上油井钻井和施工的 FRAM AHP 方法

自从 19 世纪石油和天然气行业的钻井活动开始以来，这些活动就带来了特定的风险，在发展到现在的过程中，大大增加了它们对人类造成伤害的可能性，环境和企业的可持续性。受世界能源需求的刺激，特别是在发达国家和不断增长的国家，油气行业使用的技术发生了显着变化，不仅提高了产量和利润水平，而且降低了这些活动的风险，使用了可靠的自动化和其他障碍到工人保护。然而，尽管进行了所有这些投资，2010 年的深水地平线和 2017 年的 Odebrecht NS-32 等事故表明，在保护系统的演变过程中仍然存在差距，特别是那些用于高度复杂的系统，如海上石油钻井平台。此外，不可避免地，海上钻井系统中实施的技术贡献增加了其复杂性，因此也增加了工人、系统、机器和环境之间关系的复杂性，明确地将石油钻井平台定性为复杂的社会技术系统。牢记这一点，我们开发了 FRAM 模型，以了解复杂程度并显示对这些工作场所的安全运营至关重要的相关人为因素，同时考虑到这些劳动场景中出现的自然和可变性。构建的 FRAM 模型的某些功能呈现出显着的变异性，如“执行钻井作业”功能，其中在其 10 个输出中观察到最显着的变异性，