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Citation:
　ZHANG Fang-yuan*,BAI Yong,Mohd Fauzi BADARUDDIN and Suhartodjo TUTY.Quantitative risk assessment & leak detection criteria for a subsea oil export pipeline[J].Journal of Marine Science and Application,2009,(2):168-174.
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Quantitative risk assessment & leak detection criteria for a subsea oil export pipeline

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Title:
Quantitative risk assessment & leak detection criteria for a subsea oil export pipeline
Author(s):
ZHANG Fang-yuan1; 2*;  BAI Yong1; 2;  Mohd Fauzi BADARUDDIN3 and Suhartodjo TUTY4
Affilations:
Author(s):
ZHANG Fang-yuan1; 2*;  BAI Yong1; 2;  Mohd Fauzi BADARUDDIN3 and Suhartodjo TUTY4
1. Deepwater Engineering Research Center of Harbin Engineering University, Harbin 150001, China
2. OPR Inc., Houston TX 77079, USA
3. Malaysian National Oil Company (Petronas), Kuala Lumpur 50400, Malaysia
 4. Shell Int. E&P Inc., Kuala Lumpur 50400, Malaysia
Keywords:
QRA (quantitative risk assessment);  risk;  LDC (leak detection criteria);  PARLOC database;  pipeline
分类号:
-
DOI:
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Abstract:
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.

References:

[1] BAI Yong, BAI Qiang. Subsea pipelines & risers[M]. Holland：Elsevier Science Ltd, 2005:751-784.
[2] UK PARLOC Database 2001[DB]. Mott MacDonald Ltd, HSE, UKOOA, and IP, 2003 rev. 5.
 [3] REED M, DITLEVSEN M K, HETLAND B, et al. User manual-MMS-POSVCM, Project NO. 661247[R].
[4] Design and engineering practice. DEP 31.40.60.11[J]. Pipeline Leak Detection, 2002(9).
 [5] API 1130-2002: “Computational Pipeline Monitoring for Liquid Pipelines”, 2nd Ed [R].

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Last Update: 2010-04-23