西南石油大学学报(自然科学版) ›› 2010, Vol. 32 ›› Issue (2): 173-177.DOI: 10.3863/j.issn.1674-5086.2010.02.034

• 石油机械工程及其他 • Previous Articles     Next Articles

STUDY ON RISK ASSESSMENT FOR LONG DISTANCE PIPELINE WITH STOCHASTIC METHOD

GUO Yong-mei1,2 WEI Qin-wen2,3 XU Miao4ZHANG Peng2 LI

Da-quan3

  

  1. 1.Department of Civil Engineering,Rizhao Polytechnic,Rizhao Shandong 276826,China;2.School of Mechatronic Engineering,Southwest Petroleum University,Chengdu Sichuan 610500,China;3.Pipeline Research Institute,CNPC,Langfang Hebei 065000,China;4.The First Engineering Company,China Petroleum Pipeline Bureau,Langfang Hebei 065000,China)JOURNAL OF SOUTHWEST PETROLEUM UNIVERSITY(SCIENCE & TECHNOLOGY EDITION),VOL.32,NO.2,173-177,2010(ISSN 1674-5086,in Chinese
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-04-20 Published:2010-04-20

Abstract:

.2,173-177,2010(ISSN 1674-5086,in Chinese)
Abstract:At present,the mainly applyed method of pipeline risk assessment
is according to the advice of experts to score the risk factors of long distance pipeline,also this method is used to identify and assess theuncertainties factors and random incidents.Because of the differences of evaluator′s subjective judgment,different results are often produced.So,all the results are low in credibility.According to field statistics,a number of safety incidents are caused by the uncertain random factors and the failure of structural component.On this account,when the structure failure of crossing over pipeline is analyzed,the stochastic method is applied.The random variables include the factors of process,environment,temperature,wind load,random load etc.,in accordance with the random process,after these factors are normal treated and sampled,according to reliability theory,the impact of the different random events on the structure failure probability is determined.The simulation results of the analysis show that the method can effectively improve the accuracy of risk assessment results.

Key words: pipeline, safety, risk assessment, stochastic method, failure analysis, long distance pipeline

CLC Number: