This work aims to propose an interdisciplinary research for establishing a national onshore pipeline incident database. The creation of a failure database has the potential to allow effective demonstration of safety improvements implemented by operators over time to control authorities and the society, support the development of dynamic risk assessment and management models and comparison with international benchmarks metrics, among other benefits. Therefore, in this part 1 a robust approach is proposed in order to previously define an appropriate data collection architecture that reflects the current context of this activity in Brazil. Defining architecture properly is a key issue to ensure that future data collection would be able to generate relevant information (and them knowledge) to support and strengthen operational risk management. Through a systematic literature review, the state of art regarding several international benchmarks was established for mapping the parameters that typically compose pipeline incident databases taxonomies. Categories regarding events of failure, pipeline network and database management were identified. In sequence, an anonymous survey was carried out considering this information, involving 180 pipeline specialists of different profiles/backgrounds. Statistical tests were proposed for assessing consistency of its results and selecting the parameters that would finally compose Brazilian pipeline database architecture according to expert elicitation. Based on it, in part 2 a bowtie diagram was elaborated, depicting causes, consequences, prevention and mitigation controls associated with pipeline failure events. In addition, the calculation of failure statistics from historical data obtained from a Brazilian pipeline operator demonstrates that the architecture proposed in part 1 has practical applicability and can be used for the purposes of this work.

这项工作旨在提出一项跨学科研究，以建立国家陆上管道事故数据库。故障数据库的创建有可能允许有效证明运营商随着时间的推移实施的安全改进，以控制当局和社会，支持动态风险评估和管理模型的开发以及与国际基准指标的比较，以及其他好处。因此，在本第 1 部分中，提出了一种稳健的方法，以便事先定义一个适当的数据收集架构，以反映巴西该活动的当前背景。正确定义架构是确保未来数据收集能够生成相关信息（及其知识）以支持和加强操作风险管理的关键问题。通过系统的文献综述，建立了关于几个国际基准的最新技术，用于绘制通常构成管道事件数据库分类法的参数。确定了有关故障事件、管道网络和数据库管理的类别。随后，根据这些信息进行了一项匿名调查，涉及 180 名不同背景/背景的管道专家。提出了统计测试来评估其结果的一致性，并根据专家的启发选择最终构成巴西管道数据库架构的参数。在此基础上，第 2 部分详细阐述了领结图，描绘了与管道故障事件相关的原因、后果、预防和缓解控制。此外，