期刊文献+

BP炼厂爆炸事故的教训 被引量:3

The Texas City Refinery Explosion:The Lessons Learned
原文传递
导出
摘要 2005年3月23日,BP公司位于美国得克萨斯州休斯敦南部地区的得克萨斯城炼油厂发生爆炸事故,炼油厂异构化装置在开车过程中发生爆炸着火,造成15人死亡、170多人受伤。事故的直接原因是操作工误操作,造成烃分馏液面高出控制温度25华氏度。操作工对阀门和液面检查粗心大意,没有及时发现液面超标,结果液面过高导致分馏塔超压,大量物料进入放空罐,气相组分从放空烟囱溢出后发生爆炸。这个炼油厂是BP集团最大的炼油厂,美国第三大炼油厂。 From the moment BP began investigating what happened at Texas City BP made a conscious decision as a company to share what we learned with others the local community, other companies, regulators, the media, and industry as a whole. John Mogford, Senior Group Vice President, Safety & Operations, BP Group, made a speech to share the lessons. John Mogford said, the factors which contributed to the explosion at Texas City were years in the making and will require concerted, sustained commitment to rectify. Their investigation revealed many safety areas at the refinery where procedures, practices and expected behaviours were not met. It has taught them hard lessons about leadership and communication, engagement and teamwork.
机构地区 BP集团
出处 《中国石油企业》 2006年第6期16-19,5,共4页 China Petroleum Enterprise
  • 相关文献

同被引文献23

  • 1邓晓刚,田学民.生产过程故障诊断方法研究现状及展望[J].石油大学学报(自然科学版),2005,29(6):151-157. 被引量:12
  • 2郝晓弘,刘忠,王昕,徐维涛.三冲量控制在高压汽包中的应用[J].石油化工自动化,2006,42(2):40-41. 被引量:5
  • 3苏国胜,李文波,王志强.BP德克萨斯炼油厂爆炸事故[J].安全、健康和环境,2007,7(1):8-9. 被引量:9
  • 4朱占伟.炼油厂蒸汽品质的控制及对策探讨[J].中外能源,2007,12(1):81-85. 被引量:7
  • 5Venkat Venkatasubramanian,Raghunathan R,Kewen Y,et al.A review of process fault detection and diagnosis Part I:Quantitative model-based methods[J].Computers and Chemical Engineering,2003,27(3):293-311.
  • 6Venkat Venkatasubramanian,Raghunathan R,Kewen Y,et al.A review of process fault detection and diagnosis PartⅡ:Qualitative models and search strategies[J].Computers and Chemical Engineering,2003,27(3):313-326.
  • 7Venkat Venkatasubramanian,Raghunathan R,Kewen Y,et al.A review of process fault detection and diagnosis PartⅢ:Process history based methods[J].Computers and Chemical Engineering,2003,27(3):327-346.
  • 8Marzio Marseguerra,Enrico Zio.Monte Carlo simulation for model-based fault diagnosis in dynamic systems[J].Reliability Engineering&System Safety,2009,94(2):180-186.
  • 9L A Rusinov.Fault diagnosis in chemical processes with application of hierarchical neural networks[J].Chemometrics and Intelligent Laboratory Systems,2009,97(1):98-103.
  • 10Mano Ram Maurya,Raghunathan Rengaswamy,Venkat Venkatasubramanian.Application of signed digraphs-based analysis for fault diagnosis of chemical process flowsheets[J].Engineering Applications of Artificial Intelligence,2004,17(5):501-518.

引证文献3

二级引证文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部