Automation设计有利于提高海洋石油工业管道大型化、精细化设计水平。本文从SM 3D管道支架数据库、定制模板、管道设计参数批次导入、成果文件输出、碰撞检查及进度测量等角度出发,分析了SM 3D Automation技术在某大型FPSO项目管道设计...Automation设计有利于提高海洋石油工业管道大型化、精细化设计水平。本文从SM 3D管道支架数据库、定制模板、管道设计参数批次导入、成果文件输出、碰撞检查及进度测量等角度出发,分析了SM 3D Automation技术在某大型FPSO项目管道设计中应用,阐述了Automation管道设计技术在提高工作效率及质量方面的有效性,并对其发展前景进行了展望。展开更多
A quantitative risk assessment （QRA） based on leak detection criteria （LDC） for the design of a proposed subsea oil export pipeline is presented in this paper. The objective of this QRA/LDC study was to determine ...A quantitative risk assessment （QRA） based on leak detection criteria （LDC） for the design of a proposed subsea oil export pipeline is presented in this paper. The objective of this QRA/LDC study was to determine if current leak detection methodologies were sufficient, based on QRA results, while excluding the use of statistical leak detection; if not, an appropriate LDC for the leak detection system would need to be established. The famous UK PARLOC database was used for the calculation of pipeline failure rates, and the software POSVCM from MMS was used for oil spill simulations. QRA results revealed that the installation of a statistically based leak detection system （LDS） can significantly reduce time to leak detection, thereby mitigating the consequences of leakage. A sound LDC has been defined based on QRA study results and comments from various LDS vendors to assist the emergency response team （ERT） to quickly identify and locate leakage and employ the most effective measures to contain damage.展开更多
文摘Automation设计有利于提高海洋石油工业管道大型化、精细化设计水平。本文从SM 3D管道支架数据库、定制模板、管道设计参数批次导入、成果文件输出、碰撞检查及进度测量等角度出发,分析了SM 3D Automation技术在某大型FPSO项目管道设计中应用,阐述了Automation管道设计技术在提高工作效率及质量方面的有效性,并对其发展前景进行了展望。
文摘A quantitative risk assessment （QRA） based on leak detection criteria （LDC） for the design of a proposed subsea oil export pipeline is presented in this paper. The objective of this QRA/LDC study was to determine if current leak detection methodologies were sufficient, based on QRA results, while excluding the use of statistical leak detection; if not, an appropriate LDC for the leak detection system would need to be established. The famous UK PARLOC database was used for the calculation of pipeline failure rates, and the software POSVCM from MMS was used for oil spill simulations. QRA results revealed that the installation of a statistically based leak detection system （LDS） can significantly reduce time to leak detection, thereby mitigating the consequences of leakage. A sound LDC has been defined based on QRA study results and comments from various LDS vendors to assist the emergency response team （ERT） to quickly identify and locate leakage and employ the most effective measures to contain damage.
