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Applied Sciences
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Pipeline Risk Assessment and Risk-Informed Pipeline Maintenance
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Pipeline Risk Assessment and Risk-Informed Pipeline Maintenance

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: closed (20 January 2025) | Viewed by 4178

Special Issue Editor

Dr. Changqing Gong

E-Mail Website
Guest Editor
School of Ocean Engineering, Harbin Institute of Technology, Weihai Campus, Shandong 264333, China
Interests: structural reliability; risk assessment; risk-informed pipeline maintenance

Special Issue Information

Dear Colleagues,

Corrosion is a major threat to the safety of oil and gas transmission pipelines. Risk-based fitness-for-service assessments play an increasingly active role in developing cost-effective life cycle inspection and repair strategies for highly pressurized pipelines containing corrosion defects. Despite the notable research development in this perspective in recent years, there is still a significant gap between academic research and industrial application for both piggable and unpiggable pipelines in terms of probabilistic corrosion growth prediction, efficient reliability assessment, inspection and repair decision making under uncertainty, and pipeline risk acceptance. To better support risk-based pipeline integrity management, this Special Issue seeks to collect technical papers on the recent advances in and future directions of practical pipeline corrosion risk management methods. The Special Issue is dedicated, but not limited to, the following topics:

  • Pipeline corrosion growth prediction;
  • Data-driven pipeline risk;
  • Pipeline structural reliability;
  • Optimal inline inspection interval;
  • Risk-based pipeline maintenance prioritization.

Dr. Changqing Gong
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • transmission pipelines
  • distribution pipelines
  • pipeline corrosion assessment
  • pipeline reliability
  • risk-based pipeline maintenance

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Published Papers (3 papers)

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Research

16 pages, 4831 KiB  
Article
Prediction of Coiled Tubing Erosion Rate Based on Sparrow Search Algorithm Back-Propagation Neural Network Model
by Yinping Cao, Fengying Fang, Guowei Wang, Wenyu Zhu and Yijie Hu
Appl. Sci. 2024, 14(20), 9519; https://doi.org/10.3390/app14209519 - 18 Oct 2024
Viewed by 914
Abstract
Coiled tubing has been widely used in oilfield development because it can significantly improve oil well productivity and recovery efficiency. However, with the increase in fracturing, drilling, and sand-washing operations, the erosion of coiled tubing walls caused by solid particles has become one [...] Read more.
Coiled tubing has been widely used in oilfield development because it can significantly improve oil well productivity and recovery efficiency. However, with the increase in fracturing, drilling, and sand-washing operations, the erosion of coiled tubing walls caused by solid particles has become one of the main failure modes. To accurately predict the erosion rate of coiled tubing, this study studied the influence law of erosion rate through experiments, screened the main influencing factors of erosion rate by grey relational analysis (GRA), and established a back-propagation neural network (BPNN) model optimized by the sparrow search algorithm (SSA) to predict the erosion rate. The results show that the main influencing factors for coiled tubing erosion rate are impact velocity, impact angle, and sand concentration. In addition, the SSA-BPNN model shows a high goodness of fit (R) and a good fit with the experimental data. The SSA-BPNN model underwent standard statistical validation tests, effectively predicting the erosion rate of coiled tubing with a high coefficient of determination and low errors, demonstrating a robust consistency between predicted and actual values. This study is of great significance to oilfield engineers, pipeline designers, and oilfield developers, and provides effective support for optimizing oilfield development and pipeline maintenance. The main users include oil companies, engineering consulting institutions and related industry personnel, and may also attract the interest of scientific research institutions and academia, providing a useful reference for the technological progress of the oil industry. Full article
(This article belongs to the Special Issue Pipeline Risk Assessment and Risk-Informed Pipeline Maintenance)
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18 pages, 5988 KiB  
Article
Design and Material Optimization of Oil Plant Piping Structure for Mitigating Erosion Wear
by Jun-Hyuk Ahn, Rabea Asif, Heon-Woo Lee, In-Ju Hwang and Jong-Wan Hu
Appl. Sci. 2024, 14(12), 5234; https://doi.org/10.3390/app14125234 - 17 Jun 2024
Cited by 1 | Viewed by 1584
Abstract
Erosion in piping structures poses a significant challenge for oil industries as the conveyance of solid particles leads to operational malfunctions and structural failures affecting the overall oil plant operation. Conventional oil recovery methods have historically dominated, while in response to the challenges [...] Read more.
Erosion in piping structures poses a significant challenge for oil industries as the conveyance of solid particles leads to operational malfunctions and structural failures affecting the overall oil plant operation. Conventional oil recovery methods have historically dominated, while in response to the challenges imposed by declining conventional oil production, the global shift towards non-conventional methods necessitates a reevaluation of erosion mitigation strategies due to increased piping infrastructure. Therefore, in this study research has been conducted to reduce erosion and optimize the piping structure. Variables impacting the erosion in piping were investigated from the literature, and simulation cases were made based on the impacted variables. Computational Fluid Dynamics (CFDs) analysis was performed using the Discrete Phase Model (DPM) to determine the erosion wear rate in each simulation case; based on the CFD results, variables with low Turbulent Dissipation Rates (TDRs) and Erosion Rates (ERs) were determined, and the optimized piping structure was designed. As a result, the optimized piping structure showed an 80% reduction in the turbulent dissipation rate and a 99.2% decrease in the erosion wear rate. These findings highlight a substantial improvement in erosion control, ensuring the safety and longevity of piping structures in oil plant operations. Full article
(This article belongs to the Special Issue Pipeline Risk Assessment and Risk-Informed Pipeline Maintenance)
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21 pages, 18803 KiB  
Article
Safety Analysis and Condition Assessment of Corroded Energy Pipelines under Landslide Disasters
by Peng Zhang, Wei Liu, Siming Liu, Tian Xu, Yimiao Li and Yunfei Huang
Appl. Sci. 2023, 13(23), 12880; https://doi.org/10.3390/app132312880 - 30 Nov 2023
Cited by 2 | Viewed by 1081
Abstract
Corrosion poses a significant risk to the safety of energy pipelines, while landslide disasters emerge as the primary threat responsible for triggering pipeline failures across mountainous areas. To date, there is limited research focused on the safety of energy pipelines considering the synergistic [...] Read more.
Corrosion poses a significant risk to the safety of energy pipelines, while landslide disasters emerge as the primary threat responsible for triggering pipeline failures across mountainous areas. To date, there is limited research focused on the safety of energy pipelines considering the synergistic effect of corrosion and landslides. The present study proposes a finite element (FE)-based model to assess the condition of corroded pipelines under landslides. The effects of corrosion dimensions (length and depth) and location are determined. A novel equation is finally developed to predict the maximum stress and determine the most disadvantageous position for corroded pipelines under various landslide displacements. The results demonstrate that (1) as the landslide progresses, the pipeline’s stress significantly increases; (2) corrosion depth has a more significant impact on the pipeline condition than the corrosion length, and it is positively correlated with the pipe’s stress; (3) the maximum stress exhibits a nonlinear relationship with the landslide-facing position and the corrosion circumferential location; and (4) when the axial position of the corrosion is more than 6.5 m away from the center of the landslide, the location of maximum stress shifts from the corrosion region to the central section of the pipeline within the landslide. This work contributes to helping pipeline owners to understand the applicability of energy pipelines subjected to the combined effects of corrosion and landslides and provides support for future risk assessment efforts in pipeline integrity management. Full article
(This article belongs to the Special Issue Pipeline Risk Assessment and Risk-Informed Pipeline Maintenance)
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