On the evaluation of the viscosity of nanofluid systems: Modeling and data assessment

A Hemmati-Sarapardeh, A Varamesh… - … and Sustainable Energy …, 2018 - Elsevier
Viscosity of nanofluids can significantly affect pumping power, pressure drop, workability of
the nanofluid as well as its convective heat transfer coefficient. Experimental measurements …

[HTML][HTML] Implementation of multilayer perceptron (MLP) and radial basis function (RBF) neural networks to predict solution gas-oil ratio of crude oil systems

AH Fath, F Madanifar, M Abbasi - Petroleum, 2020 - Elsevier
Exact determination of pressure-volume-temperature (PVT) properties of the reservoir oils is
necessary for reservoir calculations, reservoir performance prediction, and the design of …

[HTML][HTML] How much do you know about the methods for determining onset of asphaltene precipitation?

MM Shadman, AHS Dehaghani, MH Badizad - Petroleum, 2017 - Elsevier
One of the major problems in all area of petroleum industry, including production, operation,
storage and transportation, is formation of heavy organic compounds, eg, asphaltene and …

Experimental Determination of Interfacial Tension and Miscibility of the CO2–Crude Oil System; Temperature, Pressure, and Composition Effects

A Hemmati-Sarapardeh, S Ayatollahi… - Journal of Chemical & …, 2014 - ACS Publications
Interfacial tension (IFT) as one of the main properties for efficient CO2 flooding planning in
oil reservoirs depends strongly on pressure, temperature, and composition of the reservoir …

Intelligent model for prediction of CO2–Reservoir oil minimum miscibility pressure

A Shokrollahi, M Arabloo, F Gharagheizi… - Fuel, 2013 - Elsevier
Multiple contact miscible floods such as injection of relatively inexpensive gases into oil
reservoirs are considered as well-established enhanced oil recovery (EOR) techniques for …

Estimation of higher heating values (HHVs) of biomass fuels based on ultimate analysis using machine learning techniques and improved equation

AS Noushabadi, A Dashti, F Ahmadijokani, J Hu… - Renewable Energy, 2021 - Elsevier
To have a sustainable economy and environment, several countries have widely inclined to
the utilization of non-fossil fuels like biomass fuels to produce heat and electricity. The …

Integrating advanced soft computing techniques with experimental studies for pore structure analysis of Qingshankou shale in Southern Songliao Basin, NE China

B Liu, R Nakhaei-Kohani, L Bai, Z Wen, Y Gao… - International Journal of …, 2022 - Elsevier
Evaluating pore structure of unconventional shale reservoirs enables us to determine their
productivity, allowing for better operational decisions. Despite extensive studies in this field …

Toward a predictive model for estimating viscosity of ternary mixtures containing ionic liquids

M Hosseinzadeh, A Hemmati-Sarapardeh - Journal of Molecular Liquids, 2014 - Elsevier
Ionic liquids (ILs) are widely under research and being more and more used in many
industrial fields due to their unique properties. The knowledge of physicochemical properties …

Implementing radial basis function networks for modeling CO2-reservoir oil minimum miscibility pressure

A Tatar, A Shokrollahi, M Mesbah, S Rashid… - Journal of natural gas …, 2013 - Elsevier
Gas injection process is one of the most dependable techniques in enhanced oil recovery
(EOR) methods. Multiple contact miscible injection is the method that has been well …

Development of artificial neural networks for performance prediction of a heat pump assisted humidification-dehumidification desalination system

M Faegh, P Behnam, MB Shafii, M Khiadani - Desalination, 2021 - Elsevier
In this study, the application of data-driven methods for performance prediction of a heat
pump assisted humidification-dehumidification (HDH-HP) desalination system was …