Zobrazeno 1 - 10
of 33
pro vyhledávání: '"M. Koolivand-Salooki"'
Akademický článek
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Publikováno v:
Silicon. 10:2341-2351
The objective of this research is to study the heat insulation performance of ceramic additives paint (CAP) with the variation of electric power. The thickness of the closed media was 13 cm and the internal dimensions were 1m × 1m × 1m. The two clo
Publikováno v:
Journal of Petroleum Science and Engineering. 159:35-48
In this study, we developed a relationship for Uniaxial Compressive Strength (UCS) based on total formation porosity, bulk density and water saturation using Genetic Programming (GP). The numerical values of these parameters, which offered rock UCS,
Akademický článek
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Autor:
Fereshteh Motiee, R. Ranjineh Khojasteh, Mahshad Alaei, M. Koolivand-Salooki, M. AfzaliTabar, Alimorad Rashidi, Mansour Bazmi
Publikováno v:
Fuel. 206:453-466
In this research, we have proposed a very simple and economical preparation method for nanoporous graphene/silica nanohybrid (sol–gel method) that the related Pickering emulsion will be suitable for Chemical Enhanced Oil Recovery (C-EOR). This prep
Publikováno v:
Energy Conversion and Management. 128:134-144
This research deals with a novel synthesis method for preparation of Fe3O4 decorated Graphene and its application as a kerosene-based nanofluid with the purpose of heat transfer enhancement. In order to stabilize the Graphene-Fe3O4 nanoparticles, ole
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 203:104039
Due to the importance of formation pore pressure detection, different methods have been established for its estimation. One of these methods is the d-exponent method which is used widely in petroleum industry due to its rapidity and cheapness. In thi
Publikováno v:
Petroleum Science and Technology. 32:527-534
Adaptive neuro-fuzzy and artificial neural networks (ANN) were used for the prediction of dirty amine flow rate of a refinery adsorption column. Gas flow rate and gas pressure were the experimental inputs and dirty amine flow rate was selected as out
Publikováno v:
Journal of Industrial and Engineering Chemistry. 19:1981-1989
Design of experiments (DOE) and artificial neural networks (ANNs) were successfully applied for studying the operating parameters of benzene alkylation with 1-decene over H14[NaP5W30O110]/SiO2 catalyst. In this reaction catalyst loading, catalyst wei
Akademický článek
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