Accurate prediction of miscibility of CO2 and supercritical CO2 in ionic liquids using machine learning

M Mesbah, S Shahsavari, E Soroush, N Rahaei… - Journal of CO2 …, 2018 - Elsevier
In this study, the solubility of CO 2 and supercritical (SC) CO 2 in 20 ionic liquids (ILs) of
different chemical families over a wide range of pressure (0.25–100.12 MPa) and …

An insight into the modeling of sulfur content of sour gases in supercritical region

A Bemani, A Baghban, AH Mohammadi - Journal of Petroleum Science and …, 2020 - Elsevier
Sour gas reservoirs are one of the well-known energy re-sources in the world so
investigation of their problems especially deposition of sulfur is of interest for chemical and …

Impact of chemical features on methane adsorption by porous materials at varying pressures

M Pardakhti, P Nanda, R Srivastava - The Journal of Physical …, 2020 - ACS Publications
Superior performance in methane uptake capacity prediction by hypothetical metal organic
frameworks has previously been accomplished using a novel combination of structural and …

Development of a least squares support vector machine model for prediction of natural gas hydrate formation temperature

M Mesbah, E Soroush, M Rezakazemi - Chinese Journal of Chemical …, 2017 - Elsevier
Hydrates always are considered as a threat to petroleum industry due to the operational
problems it can cause. These problems could result in reducing production performance or …

A robust predictive tool for estimating CO2 solubility in potassium based amino acid salt solutions

E Soroush, S Shahsavari, M Mesbah… - Chinese Journal of …, 2018 - Elsevier
The acid gas absorption in four potassium based amino acid salt solutions was predicted
using artificial neural network (ANN). Two hundred fifty-five experimental data points for CO …

Estimation of minimum miscibility pressure (MMP) in enhanced oil recovery (EOR) process by N2 flooding using different computational schemes

A Barati-Harooni, A Najafi-Marghmaleki… - Fuel, 2019 - Elsevier
Nitrogen is an effective agent to be considered in gas injection processes as a part of
enhanced oil recovery (EOR) process. Successful design and implementation of nitrogen …

Evolving a robust modeling tool for prediction of natural gas hydrate formation conditions

E Soroush, M Mesbah, A Shokrollahi, J Rozyn… - … of Unconventional Oil …, 2015 - Elsevier
Natural gas is a very important energy source. The production, processing and
transportation of natural gas can be affected significantly by gas hydrates. Pipeline …

Quantitative structure property relationship schemes for estimation of autoignition temperatures of organic compounds

A Dashti, M Jokar, F Amirkhani… - Journal of Molecular …, 2020 - Elsevier
We have extended a quantitative structure–property relationship (QSPR) scheme to estimate
the auto-ignition temperatures (AIT) of organic compounds by employing GA-ANFIS, PSO …

Predicting physical properties (viscosity, density, and refractive index) of ternary systems containing 1-octyl-3-methyl-imidazolium bis (trifluoromethylsulfonyl) imide …

M Mesbah, E Soroush, MR Kakroudi - Journal of Molecular Liquids, 2017 - Elsevier
The idea of using ILs as azeotrope breaker instead of conventional organic solvents in
extractive and azeotropic distillation seems very promising due to their extraordinary …

Modeling dissociation pressure of semi-clathrate hydrate systems containing CO2, CH4, N2, and H2S in the presence of tetra-n-butyl ammonium bromide

M Mesbah, E Soroush, M Rezakazemi - Journal of Non-Equilibrium …, 2019 - degruyter.com
In this study, the phase equilibria of semi-clathrate hydrates of methane (CH 4), carbon
dioxide (CO 2), nitrogen (N 2), and hydrogen sulfide (H 2 S) in an aqueous solution of tetra-n …