Modelling minimum miscibility pressure of CO2-crude oil systems using deep learning, tree-based, and thermodynamic models: Application to CO2 sequestration and …

Q Lv, R Zheng, X Guo, A Larestani… - Separation and …, 2023 - Elsevier
The energy demand is still increasing across the globe, while environmental concerns about
global warming effect and greenhouse gases have augmented recently. CO 2 injection into …

Intelligent modeling of hydrogen sulfide solubility in various types of single and multicomponent solvents

MA Moradkhani, SH Hosseini, K Ranjbar, M Moradi - Scientific Reports, 2023 - nature.com
This study aims to study the solubility of acid gas, ie, hydrogen sulfide (H2S) in different
solvents. Three intelligent approaches, including Multilayer Perceptron (MLP), Gaussian …

Machine learning assisted structure-based models for predicting electrical conductivity of ionic liquids

R Nakhaei-Kohani, SA Madani, SP Mousavi… - Journal of Molecular …, 2022 - Elsevier
Ionic liquids (ILs) have attracted a great deal of attention as vital compounds that are widely
used in various industries, such as the chemical and petroleum industries. Therefore …

Hydrogen solubility in n-alkanes: Data mining and modelling with machine learning approach

A Tatar, Z Esmaeili-Jaghdan, A Shokrollahi… - International Journal of …, 2022 - Elsevier
Hydrogen solubility in hydrocarbons plays an important role in designing, optimizing, and
modelling many processes including underground hydrogen storage. This study applies four …

Modeling of H2S solubility in ionic liquids: comparison of white-box machine learning, deep learning and ensemble learning approaches

SP Mousavi, R Nakhaei-Kohani, S Atashrouz… - Scientific Reports, 2023 - nature.com
In the context of gas processing and carbon sequestration, an adequate understanding of
the solubility of acid gases in ionic liquids (ILs) under various thermodynamic circumstances …

Estimating the solubility of HFC/HFO in ionic liquids from molecular structure using machine learning method

J Chu, Z Zhang, X Liu, M He - Chemical Engineering Research and Design, 2022 - Elsevier
Abstract Hydrofluorocarbon (HFC)+ ionic liquid (IL) and hydrofluoroolefin (HFO)+ IL are two
new types of working pairs developed for absorption refrigeration system. In this paper …

Hydrogen solubility in ionic liquids: application of a structure-based deep learning approach and equations of state

R Nakhaei-Kohani, S Atashrouz, M Pourmahdi… - International Journal of …, 2023 - Elsevier
Following the increasing threat to the environment, the application of hydrogen as an energy
carrier is one of the solutions that has received much attention. Considering the importance …

Solubility of gaseous hydrocarbons in ionic liquids using equations of state and machine learning approaches

R Nakhaei-Kohani, S Atashrouz… - Scientific Reports, 2022 - nature.com
Ionic liquids (ILs) have emerged as suitable options for gas storage applications over the
past decade. Consequently, accurate prediction of gas solubility in ILs is crucial for their …

Echo state neural network based on an improved gray wolf algorithm predicts porosity through logging data

S Youzhuang, Z Junhua, Z Yongan - ACS omega, 2023 - ACS Publications
In oil exploration and development, many reservoir parameters are very essential for
reservoir description, especially porosity. The porosity obtained by indoor experiments is …

Application of group method of data handling and gene expression programming for predicting solubility of CO2-N2 gas mixture in brine

Q Lv, T Zhou, R Zheng, R Nakhaei-Kohani, M Riazi… - Fuel, 2023 - Elsevier
The solubility of CO 2-N 2 gas mixtures in water is important for CO 2/flue gas sequestration
in aquifer. Having precise thermodynamic measurements as well as credible prediction …