Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Issam Alruyemi"'
Autor:
S. M. Alizadeh, Issam Alruyemi, Reza Daneshfar, Mohammad Mohammadi-Khanaposhtani, Maryam Naseri
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract The present study evaluates the drilling fluid density of oil fields at enhanced temperatures and pressures. The main objective of this work is to introduce a set of modeling and experimental techniques for forecasting the drilling fluid den
Externí odkaz:
https://doaj.org/article/ced88ba28eb24454aa406f85f08aee6b
Publikováno v:
International Journal of Chemical Engineering, Vol 2022 (2022)
Accurate determinations of water (H2O) content in natural gases especially in the methane (CH4) phase are highly important for chemical engineers dealing with natural gas processes. To this end, development of a high performance model is necessary. D
Externí odkaz:
https://doaj.org/article/75cec0d41d6d4851a23d5ab3f3d5edaf
Autor:
Issam Alruyemi, Bingxian Wang
Publikováno v:
BioMed Research International
BioMed Research International, Vol 2021 (2021)
BioMed Research International, Vol 2021 (2021)
In this study, four Gaussian process regression (GPR) approaches by various kernel functions have been proposed for the estimation of biodiesel density as the functions of pressure, temperature, molecular weight, and the normal melting point of fatty
Autor:
Issam Alruyemi, S. M. Alizadeh, Reza Daneshfar, Mohammad Mohammadi-Khanaposhtani, Maryam Naseri
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Scientific Reports
Scientific Reports
The present study evaluates the drilling fluid density of oil fields at enhanced temperatures and pressures. The main objective of this work is to introduce a set of modeling and experimental techniques for forecasting the drilling fluid density via
Publikováno v:
BioMed Research International
BioMed Research International, Vol 2021 (2021)
BioMed Research International, Vol 2021 (2021)
Higher heating value (HHV) is one of the properties of biomass fuels which is essential in investigating their special characteristics and potentialities. In this paper, various techniques based on Gaussian process regression (GPR) were utilized to a