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Stochastic Based Multi-Objective Optimization of Corroded Gas Transmission Pipelines Using Importance Sampling Technique and Genetic Algorithm

Credit to Download: 1 | Page Numbers 19 | Abstract Views: 90
Year: 2018
COI code: NSMI20_166
Paper Language: English

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Authors Stochastic Based Multi-Objective Optimization of Corroded Gas Transmission Pipelines Using Importance Sampling Technique and Genetic Algorithm

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

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.

Keywords:

pipeline, corrosion, reliability, GA, BCR

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COI code: NSMI20_166

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Shabani, Mohammad Mahdi; Mohammad Daghigh; Reza Taravati & Wenxing Zhou, 2018, Stochastic Based Multi-Objective Optimization of Corroded Gas Transmission Pipelines Using Importance Sampling Technique and Genetic Algorithm, 20th Conference on Marine Industries, تهران , انجمن مهندسي دريايي ايران, https://www.civilica.com/Paper-NSMI20-NSMI20_166.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Shabani, Mohammad Mahdi; Mohammad Daghigh; Reza Taravati & Wenxing Zhou, 2018)
Second and more: (Shabani; Daghigh; Taravati & Zhou, 2018)
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