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
2572

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 (5 papers)

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23 pages, 3710 KiB  
Article
A Novel Hybrid Internal Pipeline Leak Detection and Location System Based on Modified Real-Time Transient Modelling
by Seyed Ali Mohammad Tajalli, Mazda Moattari, Seyed Vahid Naghavi and Mohammad Reza Salehizadeh
Modelling 2024, 5(3), 1135-1157; https://doi.org/10.3390/modelling5030059 - 2 Sep 2024
Viewed by 140
Abstract
A This paper proposes a modified real-time transient modelling (MRTTM) framework to address the critical challenge of leak detection and localization in pipeline transmission systems. Pipelines are essential infrastructure for transporting liquids and gases, but they are susceptible to leaks, with severe environmental [...] Read more.
A This paper proposes a modified real-time transient modelling (MRTTM) framework to address the critical challenge of leak detection and localization in pipeline transmission systems. Pipelines are essential infrastructure for transporting liquids and gases, but they are susceptible to leaks, with severe environmental and economic impacts. MRTTM tackles this challenge with a three-stage operational process. First, “Data Collection” gathers sensor data from designated observation points. Second, the “Detection” stage identifies leaks. Finally, “Decision-Making” utilizes MRTTM to pinpoint the exact leak magnitude and location. This paper introduces an innovative method designed to significantly enhance pipeline leak detection and localization through the application of artificial intelligence and advanced signal processing techniques. The improved MRTTM framework integrates AI for pattern recognition, state space modelling for leak segment identification, and an extended Kalman filter (EKF) for precise leak location estimation, addressing the limitations of traditional methods. This paper showcases the application of MRTTM through a case study using the K-nearest neighbors (KNN) method on a water transmission pipeline for leak detection. KNN aids in classifying leak patterns and identifying the most likely leak location. Additionally, MRTTM incorporates the EKF, enabling real-time updates during transient events for faster leak identification. Preprocessing sensor data before comparison with the leakage pattern bank (LPB) minimizes false alarms and enhances detection reliability. Overall, the AI-powered MRTTM framework offers a powerful solution for swift and precise leak detection and localization in pipeline systems. The functionality of the framework is examined, and the results effectively approve the effectiveness of this methodology. The experimental results validate the practical utility of the MRTTM framework in real-world applications, demonstrating up to 90% detection accuracy and an F1 score of 0.92. Full article
(This article belongs to the Topic Oil and Gas Pipeline Network for Industrial Applications)
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15 pages, 6330 KiB  
Article
Study on Wax Deposition Process of Crude Oil System under Shear Flow Field Conditions
by Haibo Liu, Chao Yang, Jingjing Qi, Chao Liu, Haijun Luo and Bingfan Li
Processes 2024, 12(8), 1774; https://doi.org/10.3390/pr12081774 - 21 Aug 2024
Viewed by 472
Abstract
This paper adopted numerical simulation based on the MD method to research the effect of different shear rates and wax contents on wax deposition focused on crude oil. The findings indicated that under shear flow conditions, there were primarily four steps during deposition. [...] Read more.
This paper adopted numerical simulation based on the MD method to research the effect of different shear rates and wax contents on wax deposition focused on crude oil. The findings indicated that under shear flow conditions, there were primarily four steps during deposition. Diffusion was the initial stage when wax diffused onto the metal surface. In the second stage, wax adsorbed onto a metal surface aligned itself parallel to the surface via Brownian motion, generating two different kinds of deposits. Subsequently, agglomerates were formed between the adsorbed deposits and the wax as a result of molecular interactions and bridging effects. Furthermore, the second and third deposited layers gradually showed peeling off and sliding under shear force. The wax deposition process was comparable for crude oil systems with varying shear rates and wax concentrations, and the deposited layer’s thickness on the metal surface was constant. The first, second, and third deposits were mainly adsorbed at 0.122 nm, 0.532 nm, and 1.004 nm away from the Fe surface, and the interaction energy between crude oil molecules and the Fe surface was mainly vdW force. The contact between Fe and wax progressively increased as the shear rate and wax content rose, promoting the wax adsorption on the metal surface and causing more of the wax to congregate in the deposited wax. The findings of the research can theoretically help a more thorough comprehension of the wax deposition. Full article
(This article belongs to the Topic Oil and Gas Pipeline Network for Industrial Applications)
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23 pages, 5866 KiB  
Article
Structure Analysis of the Fractionator Overhead Vapor Line of a Delayed Coker Unit
by Chun-Lang Yeh and Yu-Hsi Chung
Appl. Sci. 2024, 14(16), 7193; https://doi.org/10.3390/app14167193 - 15 Aug 2024
Viewed by 435
Abstract
In view of the great impact of the pipeline system in a delayed coker unit (DCU) on production and operation safety, we applied computational fluid dynamics (CFD) to investigate the flow in a fractionator overhead vapor line connected to an air cooler in [...] Read more.
In view of the great impact of the pipeline system in a delayed coker unit (DCU) on production and operation safety, we applied computational fluid dynamics (CFD) to investigate the flow in a fractionator overhead vapor line connected to an air cooler in a previous study. The causes of the pipeline damage and the strategies to alleviate the occurrence of the damage were discussed. It is found that if two 24″ pipes are connected and five 18″ pipes are also connected, the force uniformity can be improved, and the forces on the caps, reducers, and T-junctions can be reduced. In this paper, we further applied the finite element method to perform structure analysis to confirm the strength of the original and the improved pipeline system. It is found that the static stress is larger when the pipelines are connected. The first four modes of the pipeline vibration are primarily affected by the vibration of the 30″ main pipe, while the fifth and the sixth modes are primarily affected by the vibration of the smaller pipes. In the case of a magnitude 1 earthquake (parallel mode) and a magnitude 2 wind, the maximum harmonic response stresses (stresses obtained from harmonic response analysis) occur at the same locations. After the pipelines are connected, some positions of the maximum harmonic response stresses are shifted from the 30″ main pipe to the 24″ pipe. In terms of the wind effect, the pipelines connected or unconnected can both withstand moderate typhoons of magnitude 13 without fatigue damage. In terms of the seismic effect, the pipelines connected can withstand a strong earthquake of magnitude 5(+) without fatigue damage, while the pipelines unconnected can withstand a very strong earthquake of magnitude 6(−) without fatigue damage, which is better than the pipelines connected. Under the action of a magnitude 17 severe typhoon, the stresses for the pipelines connected or unconnected are both lower than the yield strength and the ultimate tensile strength (UTS). There is no danger of immediate damage in terms of the wind effect. The pipelines connected or unconnected can withstand magnitude 7 earthquakes up to accelerations of 1718 gal (17.18 m/s2) and 2236 gal (22.36 m/s2), respectively, without exceeding the UTS. The pipelines unconnected are slightly better than the pipelines connected in terms of earthquake resistance. The purpose of this series study is to explore the flow development and the structural strength of the DCU pipeline system to improve its operational safety. Full article
(This article belongs to the Topic Oil and Gas Pipeline Network for Industrial Applications)
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10 pages, 3876 KiB  
Article
Research on the Effect of Static Pressure on the Rheological Properties of Waxy Crude Oil
by Chao Yang, Jingjing Qi, Bingfan Li and Haijun Luo
Processes 2024, 12(8), 1712; https://doi.org/10.3390/pr12081712 - 15 Aug 2024
Viewed by 360
Abstract
In this paper, with the application of a MARS 60 high-pressure rheometer, experimental tests are conducted on Shengli crude oil to test its gel point, viscosity and thixotropy under different static pressures. Consequently, the effect of static pressure on the rheological parameters of [...] Read more.
In this paper, with the application of a MARS 60 high-pressure rheometer, experimental tests are conducted on Shengli crude oil to test its gel point, viscosity and thixotropy under different static pressures. Consequently, the effect of static pressure on the rheological parameters of waxy crude oil is revealed. It is proven that with the increase in the static pressure, the gel point of Shengli crude oil increases linearly, and the viscosity also gradually increases. The power law equation is employed to describe the relationship between the apparent viscosity and shear rate of Shengli crude oil under different static pressures. With the increase in the static pressure, the consistency coefficient (K) increases linearly, and the rheological index (n) decreases linearly. The relationship between the viscosity of Shengli crude oil and the static pressure and shear rate can be obtained. The Cross thixotropic model is used to describe the thixotropic curve of Shengli crude oil under different static pressures. With the increase in the static pressure, the thixotropic coefficient of consistency (ΔK) and the structure fracture constant (b) increase linearly. This is because a high pressure results in high structure strength and strong non-Newton rheological behavior in gelled crude oil and also causes remarkable structure fracture in crude oil. The results in this paper can provide an important theoretical basis for crude oil production and transportation. Full article
(This article belongs to the Topic Oil and Gas Pipeline Network for Industrial Applications)
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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 489
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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