Safeguarding Smart Infrastructure: A Review of Deep Learning Techniques for Automatic Pipeline Defect Detection DOI
Ata Jahangir Moshayedi, Amir Sohail Khan, Zeashan Hameed Khan

et al.

Published: Jan. 1, 2025

Language: Английский

A review on hydrogen blending in gas network: Insight into safety, corrosion, embrittlement, coatings and liners, and bibliometric analysis DOI

Mohammed Sofian,

Bashirul Haq, Dhafer Al Shehri

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 60, P. 867 - 889

Published: Feb. 23, 2024

Language: Английский

Citations

31
Research on the characteristics of weak magnetic internal detection signals for critical damage in pipeline stress based on density functional theory DOI
Bin Liu, Renfeng Tian,

Hui Yu

et al.

Engineering Failure Analysis, Journal Year: 2024, Volume and Issue: 159, P. 108145 - 108145

Published: Feb. 18, 2024

Language: Английский

Citations

23
Multi-modal cascade detection of pipeline defects based on deep transfer metric learning DOI

Boxuan Gao,

Hong Zhao, Xingyuan Miao

et al.

Engineering Failure Analysis, Journal Year: 2024, Volume and Issue: 160, P. 108216 - 108216

Published: March 11, 2024

Language: Английский

Citations

8
A review of leak detection methods based on pressure waves in gas pipelines DOI

Linkun Zhao,

Zheng Cao, Jianqiang Deng

et al.

Measurement, Journal Year: 2024, Volume and Issue: 236, P. 115062 - 115062

Published: June 6, 2024

Language: Английский

Citations

8
Recent Advances in Carbon Dioxide Sequestration in Deep Unmineable Coal Seams Using CO2-ECBM Technology: Experimental Studies, Simulation, and Field Applications DOI
Grant Charles Mwakipunda, Yuting Wang, Melckzedeck Michael Mgimba

et al.

Energy & Fuels, Journal Year: 2023, Volume and Issue: 37(22), P. 17161 - 17186

Published: Oct. 25, 2023

CO2-enhanced coalbed methane (CO2-ECBM) technology helps to store CO2 while producing a clean source of energy (CH4) through the sorption process. This technique can sequester much at low temperatures and pressures recovering CH4, which will help offset associated costs, such as capturing injection gases, drilling completion infrastructure, compression, expenses. review paper critically analyzes sequestration potentiality in deep unmineable coal seams. The results revealed that, despite several researchers' insights from proposed concepts, experimental data, modeling simulations, pilot tests, there are no reported full field CO2-ECBM applications for CH4 recovery because implementing projects is uneconomical. Also, effectiveness on seams depend wettability changes CO2–H2O–coal system. identified research gaps challenges this going various researchers shareholders conducting extra investigations toward application simultaneously meet Paris climate summit agreement achieve net zero emissions by 2050 maximum global temperature rise 1.5 °C.

Language: Английский

Citations

19
Suppressive effects of alkali metal salt modified dry water material on methane-air explosion DOI
Siyu Tian, Botao Qin, Dong Ma

et al.

Energy, Journal Year: 2023, Volume and Issue: 285, P. 129547 - 129547

Published: Nov. 1, 2023

Language: Английский

Citations

17
Systematic Evaluation of Ultrasonic In-Line Inspection Techniques for Oil and Gas Pipeline Defects Based on Bibliometric Analysis DOI Creative Commons
Jie Huang, Pengchao Chen, Rui Li

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(9), P. 2699 - 2699

Published: April 24, 2024

The global reliance on oil and gas pipelines for energy transportation is increasing. As the pioneering review in field of ultrasonic defect detection based bibliometric methods, this study employs visual analysis to identify most influential countries, academic institutions, journals domain. Through cluster analysis, it determines primary trends, research hotspots, future directions critical field. Starting from current industrial in-line inspection (ILI) level, paper provides a flowchart selecting methods table comparison, detailing comparative performance limits different devices. It offers comprehensive perspective latest pipeline technology laboratory experiments practice.

Language: Английский

Citations

7
A novel percussion-based approach for pipeline leakage detection with improved MobileNetV2 DOI

Longguang Peng,

Jicheng Zhang, Yuanqi Li

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108537 - 108537

Published: May 8, 2024

Language: Английский

Citations

7
A double inference engine belief rule base for oil pipeline leakage DOI
Peng Han, Qingxi Zhang, Wei He

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 240, P. 122587 - 122587

Published: Nov. 17, 2023

Language: Английский

Citations

13
A classification and quantitative assessment method for internal and external surface defects in pipelines based on ASTC-Net DOI
Jie Yuan,

Mengtian Qiao,

Chun Hu

et al.

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 61, P. 102492 - 102492

Published: March 21, 2024

Language: Английский

Citations

5