Listar por autor "4e1d43c6d0fa63ac1b4927ddcef3083d"
Mostrando ítems 1-4 de 4
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Application of neural network and dual-energy radiation-based detection techniques to measure scale layer thickness in oil pipelines containing a stratified regime of three-phase flow
Mayet, Abdulilah; Tzu-Chia, Chen; Ahmad, Ijaz; Tag elDin, Elsayed; Al-Qahtani, Ali Awadh; Igor, Narozhnyy; Grimaldo Guerrero, John William; alhashim, Hala (MDPI AGSwitzerland, 2022-09-28)first_pagesettingsOrder Article Reprints Open AccessArticle Application of Neural Network and Dual-Energy Radiation-Based Detection Techniques to Measure Scale Layer Thickness in Oil Pipelines Containing a Stratified ... -
Application of wavelet characteristics and gmdh neural networks for precise estimation of oil product types and volume fractions
Mayet, Abdulilah; Alizadeh, Mehdi; Mohammad Hamakarim, Karwan; Al-Qahtani, Ali Awadh; Alanazi, Abdullah; Grimaldo Guerrero, John William; alhashim, Hala; Eftekhari-Zadeh, Ehsan (Multidisciplinary Digital Publishing Institute (MDPI)Switzerland, 2022-09-30)Given that one of the most critical operations in the oil and gas industry is to instantly determine the volume and type of product passing through the pipelines, in this research, a detection system for monitoring oil ... -
Applying data mining and artificial intelligence techniques for high precision measuring of the two-phase flow’s characteristics independent of the pipe’s scale layer
Mayet, Abdulilah; Salama, Ahmed S.; Alizadeh, Mehdi; Nesic, Slavko; Grimaldo Guerrero, John William; Eftekhari-Zadeh, Ehsan; nazemi, ehsan; Iliyasu, Abdullah (MDPI Multidisciplinary Digital Publishing InstituteSwitzerland, 2022)Scale formation inside oil and gas pipelines is always one of the main threats to the efficiency of equipment and their depreciation. In this study, an artificial intelligence method method is presented to provide the flow ... -
Increasing the efficiency of a control system for detecting the type and amount of oil product passing through pipelines based on gamma-ray attenuation, time domain feature extraction, and artificial neural networks
Mayet, Abdulilah; Mehdi Alizadeh, Seyed; Azeez Kakarash, Zana; Al-Qahtani, Ali Awadh; Alanazi, Abdullah; Grimaldo Guerrero, John William; Alhashimi, Hala H.; Eftekhari-Zadeh, Ehsan (MDPI AGSwitzerland, 2022-07-13)Instantaneously determining the type and amount of oil product passing through pipelines is one of the most critical operations in the oil, polymer and petrochemical industries. In this research, a detection system is ...