Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Maryam Sadi"'
Publikováno v:
Journal of Water Reuse and Desalination, Vol 9, Iss 4, Pp 372-384 (2019)
In this study, two artificial intelligence models based on an adaptive neuro-fuzzy inference system (ANFIS) and a support vector machine (SVM) technique have been successfully developed to predict the desalination efficiency of produced water through
Externí odkaz:
https://doaj.org/article/4a04c59dc03c4938a28f12da8c1d472a
Publikováno v:
Journal of Petroleum Science and Technology, Vol 4, Iss 2, Pp 43-55 (2014)
The oxidative coupling of methane (OCM) performance over Na-W-Mn/SiO2 at elevated pressures has been simulated by adaptive neuro fuzzy inference system (ANFIS) using reaction data gathered in an isothermal fixed bed microreactor. In the designed neur
Externí odkaz:
https://doaj.org/article/15f9527b6dd2442aaf7b99e2d788a02c
Publikováno v:
Iranian Journal of Chemistry & Chemical Engineering, Vol 31, Iss 1, Pp 113-118 (2012)
For technical and economic success of miscible gas injection projects, an accurate laboratory measurement of Minimum Miscibility Pressure (MMP) at reservoir conditions is essential. On the other hand, compositional reservoir simulator is a useful too
Externí odkaz:
https://doaj.org/article/07e30b746e964f998bc320b730063ea1
Autor:
Maryam Sadi, Bahram Dabir
Publikováno v:
Iranian Journal of Chemistry & Chemical Engineering, Vol 26, Iss 4, Pp 29-37 (2007)
A Multi-objective optimization procedure has been developed to determine some kinetic parameters of free radical polymerization of vinyl acetate based on genetic algorithm. For this purpose, mathematical modeling of free radical polymerization of vin
Externí odkaz:
https://doaj.org/article/a20d443fc2b048bd87c5df705004ae7d
Publikováno v:
Iranian Journal of Chemistry & Chemical Engineering, Vol 25, Iss 4, Pp 77-84 (2006)
In this paper, a simplified formulation for compositional reservoir simulator is presented. These types of simulators are used when inter-phase mass transfer depends on phase composition as well as pressure. The procedure for solving compositional mo
Externí odkaz:
https://doaj.org/article/958a2ec7bc384260851e4ae3eea7d424
Autor:
Maryam Sadi, Abbas Shahrabadi
Publikováno v:
Natural Resources Research.
Publikováno v:
Petroleum Science and Technology. 38:542-549
In thermal de-asphalting procedure, where asphaltene particles are aggregated through heating crude oil at an elevated temperature, predicting the asphaltene particles’ diameter is of major importa...
Publikováno v:
Journal of Water Reuse and Desalination, Vol 9, Iss 4, Pp 372-384 (2019)
In this study, two artificial intelligence models based on an adaptive neuro-fuzzy inference system (ANFIS) and a support vector machine (SVM) technique have been successfully developed to predict the desalination efficiency of produced water through
Autor:
Maryam Sadi, Abbas Shahrabadi
Publikováno v:
Journal of Petroleum Science and Engineering. 171:1211-1222
Precipitation of asphaltene during primary production of hydrocarbon reservoirs leads to formation damage and well bore plugging. Therefore, proposing an accurate model to estimate asphaltene precipitation under various operating and thermodynamic co
Autor:
Maryam Sadiq, Faizan Fazal, Dr. Imrana Saeed, Alishba shezal ali, Fatimah Shahid, Muniba Zafar, Noor Mahal Azam, Qurat Ul Ain, Manahil Nazir, Ayesha Noor
Publikováno v:
Pakistan Journal of Medicine and Dentistry, Vol 12, Iss 3 (2024)
Background: The incidence of Laboratory acquired infections is on the rise despite the existence and continuous upgradation of infection prevention protocols. The objective of this study was to determine the practice of lab staff before and after car
Externí odkaz:
https://doaj.org/article/338066313e1c4416946f418ce6fad5c9