Topic Editors

Petroleum Engineering School, Southwest Petroleum University, Chengdu 610500, China
China-Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures, Southeast University, Nanjing 210096, China
Dr. Weibiao Qiao
School of Vehicle and Energy, Yan Shan University, Qinhuangdao 066004, China
School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China

Oil and Gas Pipeline Network for Industrial Applications

Abstract submission deadline
31 January 2025
Manuscript submission deadline
30 April 2025
Viewed by
660

Topic Information

Dear Colleagues,

With the rapid growth of industrial demand, energy demand is also gradually increasing. As an important channel connecting oil and gas production and users, pipeline transportation plays an irreplaceable role. As an important infrastructure to ensure oil and gas supply, oil and gas pipelines are an important support for achieving the revolution of energy production and consumption, and an important energy guarantee for national economic and social development. Therefore, this Topic covers oil and gas pipeline safety assurance technology, oil and gas pipeline operation management technology, and related fields, to improve the level and efficiency of pipeline management and help the high-quality development of the pipeline business. In particular, the topics of interest include but are not limited to the following:

  • Application of big data technology in the field of oil and gas pipeline operation status, fault diagnosis, and risk prediction; 
  • Application and solutions of artificial intelligence in the field of oil and gas pipelines; 
  • Domestic and foreign oil and gas pipeline construction plan and engineering practice; 
  • Energy Strategy and oil and gas pipeline development; 
  • Hydrogen-doped/pure hydrogen pipeline transportation technology; 
  • CO2 pipeline transportation technology; 
  • In situ coal-to-gas gathering and transportation technology; 
  • Production and operation of oil and gas pipelines; 
  • Optimal operation of oil and gas pipelines; 
  • Oil and gas pipeline leak detection and monitoring technology; 
  • Oil and gas pipeline digital twin technology and application; 
  • City gas pipeline integrity management technology; 
  • CFD technology application.

Prof. Dr. Enbin Liu
Dr. Hongfang Lu
Dr. Weibiao Qiao
Prof. Dr. Shanbi Peng
Topic Editors

Keywords

  • modelling
  • simulation
  • pipeline
  • artificial intelligence
  • digital twin
  • optimised operation
  • transportation
  • CFD

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci
2.5 5.3 2011 17.8 Days CHF 2400 Submit
Energies
energies
3.0 6.2 2008 17.5 Days CHF 2600 Submit
Fluids
fluids
1.8 3.4 2016 22.1 Days CHF 1800 Submit
Modelling
modelling
1.3 2.7 2020 21.2 Days CHF 1000 Submit
Processes
processes
2.8 5.1 2013 14.4 Days CHF 2400 Submit

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Published Papers (1 paper)

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15 pages, 5946 KiB  
Article
A Reliability Assessment Method for Natural Gas Pipelines with Corroded Defects That Considers Detection Cycles
by An Li, Feng Jin, Yuan Li, Wen Lan, Pan Liu, Zhifeng Yu and Kai Wen
Energies 2024, 17(14), 3366; https://doi.org/10.3390/en17143366 - 9 Jul 2024
Viewed by 299
Abstract
With the development of natural gas pipelines, the proportion of aged pipelines in service has been increasing, and corrosion remains a primary cause of pipeline failure. Regular inspections and reliability assessments are crucial to ensure the safe operation of pipelines. This study investigated [...] Read more.
With the development of natural gas pipelines, the proportion of aged pipelines in service has been increasing, and corrosion remains a primary cause of pipeline failure. Regular inspections and reliability assessments are crucial to ensure the safe operation of pipelines. This study investigated an efficient reliability assessment method for corroded pipelines that considers in-line inspection intervals. First, this study compared the commonly used limit state equations for corrosion defects to select one suitable for X80-grade steel pipelines. Additionally, a Tail-Fit Monte Carlo Simulation (TF-MCS) algorithm was proposed to improve the computational speed by 30 times compared to traditional Monte Carlo simulations. Then, this study explored the inspection intervals used for reliability assessments of corroded pipelines. Finally, the parameter sensitivity was analyzed considering the yield strength, maximum operating pressure, and pipe diameter. This study ensures the reliable operation of corroded gas pipelines. Full article
(This article belongs to the Topic Oil and Gas Pipeline Network for Industrial Applications)
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