New generic leak frequencies for process equipment

被引:42
作者
Spouge, J [1 ]
机构
[1] DNV Consulting, London SE1 9DE, England
关键词
leaks; leak frequencies; process equipment; quantitative risk assessment;
D O I
10.1002/prs.10100
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The likelihood of leaks from process equipment is a key input to any quantitative risk assessment (QRA) of process plant. This paper describes a new source of generic leak frequencies and reviews the challenges in using it for QRA. Established leak frequencies for onshore process equipment are poor in quality because they are based on old data sources of unknown provenance, judgemental mentally modified. Recent data from offshore process activities provide a high-quality data set, which appears to show that the established frequencies are much too low. Much of this discrepancy arises from the QRA practice of modeling only the most hazardous leak scenarios. Recognizing the practical difficulty of changing QRA practice to match new data, the present paper therefore describes a method of analyzing the new data to obtain leak frequencies for specific modeled scenarios. Leaks are divided into three scenarios, allowing analysts to useful frequencies for only those scenarios that are compatible with their QRA outflow modeling. Standardized leak frequencies have been developed for different types of process equipment, using leak frequency functions to ensure that consistent, nonzero frequencies are available for any equipment type and hole size. The results are consistent with traditional onshore leak frequencies, while also being traceable to specific incidents among the modern high-quality offshore leak, data. (c) 2005 American Institute of Chemical Engineers Process.
引用
收藏
页码:249 / 257
页数:9
相关论文
共 13 条
[1]  
BUSH SH, 1978, P S APPL REL TECHN N
[2]  
Ccps, 1999, Guidelines for Chemical Process Quantitative Risk Analysis, Vsecond
[3]  
CCPS, 1989, Guidelines for process equipment reliability data with data tables
[4]  
Cox A., 1990, CLASSIFICATION HAZAR
[5]  
CPR, 1999, GUID QUANT RISK ASS
[6]  
Cullen Lord, 1990, PUBLIC INQUIRY PIPER
[7]  
*DNV, 2004, 20040869 DNV STAT AS
[8]  
HSE U., 2002, OFFSH HYDR REL STAT
[9]  
Lees F, 1996, Loss Prevention in the Process Industry. Hazard Identification, Assessment and Control
[10]  
*PSA, 2003, TRENDS RISK LEV NORW