...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of loss prevention in the process industries >Accident modeling approach for safety assessment in an LNG processing facility
【24h】

Accident modeling approach for safety assessment in an LNG processing facility

机译：液化天然气加工设施安全评估的事故建模方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The rapid growth in global demand for natural gas as a fuel has led to expansion of the production capacity of existing gas processing trains and the design of new process trains. The increasing complexity of high performance processing systems leads to more complex failure modes and new safety issues. To physical properties of liquefied natural gas (LNG) such as its cryogenic temperature and flammability and vapor dispersion characteristics, add additional concerns of potential safety issues. Therefore, continuous monitoring and implementation of appropriate actions are essential to prevent, control and mitigate unfavorable consequences of LNG production and use. The newly developed accident modeling approach, SHIPP (System Hazard Identification, Prediction and Prevention), is an important part of a comprehensive safety management system that helps to maintain and manage these safety issues. This approach is used to model accidents in gas processing facilities using safety barriers. It identifies possible causal factors and potential consequences and provides quantitative results by combining fault and event tree analyses. The predictive model employed in this approach helps to forecast the number of abnormal events in ensuing time intervals. In the current work, SHIPP has been validated using data from an LNG processing facility.
机译：全球对天然气作为燃料的需求的快速增长导致现有气体处理列车的生产能力的扩展和新工艺列车的设计。高性能处理系统越来越复杂，导致更复杂的故障模式和新的安全问题。对于液化天然气（LNG）的物理特性（如其低温温度，可燃性和蒸汽扩散特性），还增加了对潜在安全问题的关注。因此，持续监视和执行适当的措施对于防止，控制和减轻液化天然气生产和使用的不利后果至关重要。新开发的事故建模方法SHIPP（系统危害识别，预测和预防）是有助于维护和管理这些安全问题的综合安全管理系统的重要组成部分。该方法用于使用安全屏障对气体处理设施中的事故进行建模。它可以识别可能的因果关系和潜在后果，并通过结合故障和事件树分析来提供定量结果。此方法中使用的预测模型有助于预测随后的时间间隔中异常事件的数量。在当前工作中，已使用来自LNG处理设施的数据对SHIPP进行了验证。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号