Zobrazeno 1 - 6
of 6
pro vyhledávání: '"M. A. Moradkhani"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Reliable and comprehensive predictive tools for the frictional pressure drop (FPD) are of particular importance for systems involving two-phase flow condensation. However, the available models are only applicable to specific operating condit
Externí odkaz:
https://doaj.org/article/6acc3603412b446bbffa16b9ec20c979
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract This study deals with the investigation of the water removal efficiency (WRE) from crude oil using a commercial demulsifier. The impacts of time, demulsifier concentration, and temperature on WRE were experimentally studied. The results impl
Externí odkaz:
https://doaj.org/article/b40f4f2e52754005b211279197e69321
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract This study aims to study the solubility of acid gas, i.e., hydrogen sulfide (H2S) in different solvents. Three intelligent approaches, including Multilayer Perceptron (MLP), Gaussian Process Regression (GPR) and Radial Basis Function (RBF) w
Externí odkaz:
https://doaj.org/article/6d70cb923adf4817b9ab2693db9bda4b
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-19 (2021)
Abstract There is a lack of well-verified models in the literature for the prediction of the frictional pressure drop (FPD) in the helically coiled tubes at different conditions/orientations. In this study, the robust and universal models for estimat
Externí odkaz:
https://doaj.org/article/9f1c49713aa24accadf3e3d18f11165c
Publikováno v:
International Journal of Environmental Science and Technology. 20:3009-3022
Akademický článek
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