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

и другие.

Опубликована: Янв. 1, 2025

Язык: 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

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 60, С. 867 - 889

Опубликована: Фев. 23, 2024

Язык: Английский

Процитировано

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

и другие.

Engineering Failure Analysis, Год журнала: 2024, Номер 159, С. 108145 - 108145

Опубликована: Фев. 18, 2024

Язык: Английский

Процитировано

23

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

Boxuan Gao,

Hong Zhao, Xingyuan Miao

и другие.

Engineering Failure Analysis, Год журнала: 2024, Номер 160, С. 108216 - 108216

Опубликована: Март 11, 2024

Язык: Английский

Процитировано

8

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

Linkun Zhao,

Zheng Cao, Jianqiang Deng

и другие.

Measurement, Год журнала: 2024, Номер 236, С. 115062 - 115062

Опубликована: Июнь 6, 2024

Язык: Английский

Процитировано

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

и другие.

Energy & Fuels, Год журнала: 2023, Номер 37(22), С. 17161 - 17186

Опубликована: Окт. 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.

Язык: Английский

Процитировано

19

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

и другие.

Energy, Год журнала: 2023, Номер 285, С. 129547 - 129547

Опубликована: Ноя. 1, 2023

Язык: Английский

Процитировано

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

и другие.

Sensors, Год журнала: 2024, Номер 24(9), С. 2699 - 2699

Опубликована: Апрель 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.

Язык: Английский

Процитировано

7

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

Longguang Peng,

Jicheng Zhang, Yuanqi Li

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 133, С. 108537 - 108537

Опубликована: Май 8, 2024

Язык: Английский

Процитировано

7

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

и другие.

Expert Systems with Applications, Год журнала: 2023, Номер 240, С. 122587 - 122587

Опубликована: Ноя. 17, 2023

Язык: Английский

Процитировано

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

и другие.

Advanced Engineering Informatics, Год журнала: 2024, Номер 61, С. 102492 - 102492

Опубликована: Март 21, 2024

Язык: Английский

Процитировано

5