2011Unpublished venueRequires access

Improved Risk Assessment of Pipeline Based on Fault Tree Quantitative Analysis

Xiaoqiang Xiang, Lianshuang Dai, Tao Cao, Huabing Zhang

Open publisher page 1 citations

Abstract

The fault tree of the pipeline was studied by investigating the failure modes and statistics of pipeline accidents of PetroChina. After a quantitative analysis of the impact factors for different failure modes, a Quantitative method for calculating the failure possibility of pipeline was established. The result was used to improve the most widespread pipeline risk assessment method - Kent scoring method. It can give comparable quantified description of the pipeline risk under current operation condition, and can give further support for decision-making of integrity management.

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What this paper is about

The fault tree of the pipeline was studied by investigating the failure modes and statistics of pipeline accidents of PetroChina. After a quantitative analysis of the impact factors for different failure modes, a Quantitative method for calculating the failure possibility of pipeline was established. The result was used to improve the most widespread pipeline risk assessment method - Kent scoring method. It can give comparable quantified description of the pipeline risk under current operation condition, and can give further support for decision-making of integrity management.

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Available abstract

The fault tree of the pipeline was studied by investigating the failure modes and statistics of pipeline accidents of PetroChina. After a quantitative analysis of the impact factors for different failure modes, a Quantitative method for calculating the failure possibility of pipeline was established. The result was used to improve the most widespread pipeline risk assessment method - Kent scoring method. It can give comparable quantified description of the pipeline risk under current operation condition, and can give further support for decision-making of integrity management.

Key concepts: Pipeline (software), Fault tree analysis, Computer science, Reliability engineering, Decision tree, Risk assessment, Fault (geology), Tree (set theory)

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