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 …

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 …

Determination of bubble point pressure and oil formation volume factor: Extra trees compared with LSSVM-CSA hybrid and ANFIS models

M Seyyedattar, MM Ghiasi, S Zendehboudi, S Butt - Fuel, 2020 - Elsevier
Successful field development relies on effective reservoir management, which, in turn, is, to
a great extent, influenced by the knowledge of reservoir fluid properties and phase …

Predictive deep learning models for environmental properties: the direct calculation of octanol–water partition coefficients from molecular graphs

Z Wang, Y Su, W Shen, S Jin, JH Clark, J Ren… - Green …, 2019 - pubs.rsc.org
As an essential environmental property, the octanol–water partition coefficient (KOW)
quantifies the lipophilicity of a compound and it could be further employed to predict toxicity …

High-energy and long-lasting organic electrode for a rechargeable aqueous battery

MH Lee, G Kwon, H Lim, J Kim, SJ Kim, S Lee… - ACS Energy …, 2022 - ACS Publications
Redox-active organic materials (ROMs) hold great promise as potential electrode materials
for eco-friendly, cost-effective, and sustainable batteries; however, the poor cycle stability …

Implementation of SVM framework to estimate PVT properties of reservoir oil

S Rafiee-Taghanaki, M Arabloo, A Chamkalani… - Fluid Phase …, 2013 - Elsevier
Through this work, a novel mathematical-based approach was proposed to develop reliable
models for calculation of PVT properties of crude oils at various reservoir conditions. For this …

Reservoir oil viscosity determination using a rigorous approach

A Hemmati-Sarapardeh, A Shokrollahi, A Tatar… - Fuel, 2014 - Elsevier
Viscosity of crude oil is a fundamental factor in simulating reservoirs, forecasting production
as well as planning thermal enhanced oil recovery methods which make its accurate …

Different applications of machine learning approaches in materials science and engineering: Comprehensive review

Y Cao, AT Nakhjiri, M Ghadiri - Engineering Applications of Artificial …, 2024 - Elsevier
Over the last decades, considerable advancements in artificial intelligence (AI) approaches
have eventuated in their extensive applications in all scientific scopes such as materials …

Phase equilibrium modeling of clathrate hydrates of methane, carbon dioxide, nitrogen, and hydrogen+ water soluble organic promoters using Support Vector …

A Eslamimanesh, F Gharagheizi, M Illbeigi… - Fluid Phase …, 2012 - Elsevier
In this work, the Least Squares Support Vector Machine (LSSVM) algorithm is employed to
present several numerical models for calculation/estimation of the clathrate hydrate …

Asphaltene precipitation due to natural depletion of reservoir: Determination using a SARA fraction based intelligent model

A Hemmati-Sarapardeh… - Fluid Phase …, 2013 - Elsevier
Precipitation of asphaltene leads to rigorous problems in petroleum industry such as:
wettability alterations, relative permeability reduction, blockage of the flow with additional …