Optimal Pipeline Maintenance Strategies in the United States: Stochastic Reliability Analysis of Gas Pipeline Network Failures

Kermanshachi, Sharareh; Rouhanizadeh, Behzad; Cobanoglu, Mustafa; Damnjanović, Ivan

doi:10.1061/(asce)ps.1949-1204.0000419

Cited by 12 publications

(2 citation statements)

References 59 publications

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“…6 As for natural gas pipelines, long-term supply suspension can seriously impact their operation and the 1 School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China daily life of residents. 7 Consequently, if pipeline reliability can be predicted based on historical inspection data, to help one take effective preventive maintenance measures based on this, the above problems can be solved.…”

Section: Introductionmentioning

confidence: 99%

Pipeline reliability assessment and predictive maintenance considering multi-crack dependent degradation

Zheng,

Dong,

Zhang

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part B:

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Cracks due to corrosion are one of the main reasons for natural-gas pipeline leaks. Making the reliability assessment, prediction, and maintenance decision of pipelines based on measurable crack data is a central issue at present. The failure of pipelines is usually a result of the cumulative impact of multiple cracks. The interaction between adjacent cracks accelerates crack propagation, and greatly affects the degradation mechanism of pipelines. In this study, the reliability prediction and maintenance decisions were studied by considering the dependent degradation between multiple cracks in pipelines. Firstly, the initiation and propagation of pipeline cracks were modeled using a non-homogeneous Poisson process and a Gamma process, respectively. The interaction between cracks was defined to be a function of the random crack distance, which could be reflected by the change of shape parameters in the Gamma process. Secondly, the pipeline’s failure was defined as the competitive failure of the number of cracks, the maximum crack depth, and the total crack depth. The reliability prediction model of a pipeline under this failure mode was determined. A non-periodic combined maintenance policy considering both the pipeline condition and its predictive reliability was then proposed, and an optimal predictive maintenance decision model was constructed to minimize the long-term average cost rate. Finally, the effectiveness of the proposed model and policy was verified by a numerical experiment and a crack dataset of a transnational pipeline.

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Section: Introductionmentioning

confidence: 99%

Pipeline reliability assessment and predictive maintenance considering multi-crack dependent degradation

Zheng,

Dong,

Zhang

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…This study is critical because the corrosion caused by crude oil is less investigated than the corrosion caused by gases in the pipeline. Previous works are mainly focused on the corrosion in the pipeline caused by natural gases rather than the crude oil [8][9][10][11]. Internal corrosion costs more than compared to the external corrosion.…”

Section: Introductionmentioning

confidence: 99%

Effect of sulfur content in the crude oil to the corrosion behavior of internal surface of API 5L X65 petroleum pipeline steel

Azam¹,

Safie²,

Hamdan³

2021

Manufacturing Technology

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This work discussed the corrosion behaviour of the internal surface of pipeline steel caused by petroleum products' composition, particularly crude oil. Internal and external pipeline corrosion is the notable cause of pipeline failure in Malaysia's oil and gas industry. However, internal corrosion is preferred to be concerned in this work because it involved one of the significant corrosive media in crude oil, such as sulfur content. This project aims to find the sulfur concentration in the crude oil using Fourier transform infrared spectroscopy and atomic absorption spectroscopy. The corrosion rate, corrosion current and corrosion potential of the API 5L X65 grade carbon steel pipeline in different simulated H 2 SO 4 solution concentrations were carried out using the Tafel extrapolation technique. The samples' corrosion properties were morphologically measured through the optical microscope, scanning electron microscope, and energy dispersive X-ray analyses. The results showed pipeline steel's corrosion rate significantly increased with increasing H 2 SO 4 concentrations. The corrosion products formed on the pipeline steel surfaces were mainly composed of iron sulphate, iron sulphide, and iron oxide. These findings are crucial to understanding the corrosion behaviour caused by crude oil and should be further investigated with the other influential factors such as temperature and petroleum flowing velocity. API 5L X65 pipeline steel, crude oil, corrosion behaviour, H 2 SO 4 concentration, Tafel extrapolation

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Maintenance in the downstream petroleum industry: A review on methodology and implementation

Wari

Zhu

Lim

2023

Computers & Chemical Engineering

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Optimal Pipeline Maintenance Strategies in the United States: Stochastic Reliability Analysis of Gas Pipeline Network Failures

Cited by 12 publications

References 59 publications

Pipeline reliability assessment and predictive maintenance considering multi-crack dependent degradation

Pipeline reliability assessment and predictive maintenance considering multi-crack dependent degradation

Effect of sulfur content in the crude oil to the corrosion behavior of internal surface of API 5L X65 petroleum pipeline steel

Maintenance in the downstream petroleum industry: A review on methodology and implementation

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