Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Study on pollutants detection in natural gas pipeline based on circular probe microwave resonance sensor (CPMRS)

Junxian Chen, Zhongli Ji, Tianyu Zhang, Wenlei Jiao, Qi Huang, Guangyao Lin and Zhen Liu
Measurement 236 115053 (2024)
https://doi.org/10.1016/j.measurement.2024.115053

An Advanced Long Short-Term Memory (LSTM) Neural Network Method for Predicting Rate of Penetration (ROP)

Hui Ji, Yishan Lou, Shuting Cheng, Zelong Xie and Liang Zhu
ACS Omega 8 (1) 934 (2023)
https://doi.org/10.1021/acsomega.2c06308

A critical review on optimization parameters and techniques for gas pipeline operation profitability

Adarsh Kumar Arya
Journal of Petroleum Exploration and Production Technology 12 (11) 3033 (2022)
https://doi.org/10.1007/s13202-022-01490-5

Generation causes of black powder in the east line of the gas supply pipeline from the Liaohe oilfield: Analysis and discussion

Jianyu He, Dan Wang, Dacheng Guo, Fei Xie and Yue Qin
Engineering Failure Analysis 139 106506 (2022)
https://doi.org/10.1016/j.engfailanal.2022.106506

Assessment of Black Powder Concentrations in Natural Gas Pipeline Networks

Mahdi Debouza, Ahmed Al-Durra, Khaled Al-Wahedi and Mohamed Abou-Khousa
IEEE Access 8 71395 (2020)
https://doi.org/10.1109/ACCESS.2020.2987109

Field demonstration of a microwave black powder detection device in gas transmission pipelines

Wesam Taha, Mohamed Abou-Khousa, Andri Haryono, et al.
Journal of Natural Gas Science and Engineering 73 103058 (2020)
https://doi.org/10.1016/j.jngse.2019.103058

GPU-accelerated hydraulic simulations of large-scale natural gas pipeline networks based on a two-level parallel process

Yue Xiang, Peng Wang, Bo Yu and Dongliang Sun
Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 75 86 (2020)
https://doi.org/10.2516/ogst/2020076