Stochastic Based Multi-Objective Optimization of Corroded Gas Transmission Pipelines Using Importance Sampling Technique and Genetic Algorithm
Publish place: 20th Marine Industries Conference
Publish Year: 1397
نوع سند: مقاله کنفرانسی
زبان: English
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NSMI20_166
تاریخ نمایه سازی: 6 بهمن 1397
Abstract:
The purpose of this work is to perform a comprehensive comparison between different Failure Pressure Model (FPM)s in terms of probability. In order to simulate rate of internal corrosion, Poisson Wave Square Process (PSWP) is applied. Furthermore, as the most effective parameter on Burst Capacity(BC) of pipelines is internal pressure and there is no distinct relationship for expressing variation of it versus time, a stochastic process is used instead to predict maximum pressure of pipeline. For determining Probability of Failure (POF), Importance Sampling (IS) technique is applied to FPMs. Both Pipeline Diameter (PD) and Pipeline Thickness (PT) are considered as variables in optimization stage that is done using MATLAB Optimization Toolbox. The presented method is applied to a pipeline in Southern parts of Persian Gulf. For getting to as much accurate as possible result, mean and Coefficient of Variation (COV) of input parameters are adopted using In-Line Inspection (ILI) data of the pipeline. Finally, in order to present a better view on selecting different FPMs, a financial assessment is carried out.
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Authors
Mohammad Mahdi Shabani
MESc of Offshore Structural Engineering
Mohammad Daghigh
Ph.D of Offshore Engineering, Pars Oil and Gas Company (POGC)
Reza Taravati
MESc of Material Engineering
Wenxing Zhou
Assistant Prof. of Civil Engineering, University of Western Ontario