Modeling CO solubility in water using gradient boosting and light gradient boosting machine.

The growing application of carbon dioxide (CO) in various environmental and energy fields, including carbon capture and storage (CCS) and several CO-based enhanced oil recovery (EOR) techniques, highlights the importance of studying the phase equilibria of this gas with water. Therefore, accurate prediction of CO solubility in water becomes an important thermodynamic property. This study focused on developing two powerful intelligent models, namely gradient boosting (GBoost) and light gradient boosting machine (LightGBM) that predict CO solubility in water with high accuracy.

On the evaluation of the carbon dioxide solubility in polymers using gene expression programming.

Evaluation, prediction, and measurement of carbon dioxide (CO) solubility in different polymers are crucial for engineers in various chemical applications, such as extraction and generation of novel materials. In this paper, correlations based on gene expression programming (GEP) were generated to predict the value of carbon dioxide solubility in three polymers. Results showed that the generated correlations could represent an outstanding efficiency and provide predictions for carbon dioxide solubility with satisfactory average absolute relative errors of 9.

Modeling interfacial tension of surfactant-hydrocarbon systems using robust tree-based machine learning algorithms.

Interfacial tension (IFT) between surfactants and hydrocarbon is one of the important parameters in petroleum engineering to have a successful enhanced oil recovery (EOR) operation. Measuring IFT in the laboratory is time-consuming and costly. Since, the accurate estimation of IFT is of paramount significance, modeling with advanced intelligent techniques has been used as a proper alternative in recent years.

Modeling Viscosity of CO-N Gaseous Mixtures Using Robust Tree-Based Techniques: Extra Tree, Random Forest, GBoost, and LightGBM.

Carbon dioxide (CO) has an essential role in most enhanced oil recovery (EOR) methods in the oil industry. Oil swelling and viscosity reduction are the dominant mechanisms in an immiscible CO-EOR process. Besides numerous CO applications in EOR, most oil reservoirs do not have access to natural CO, and capturing it from flue gas and other sources is costly.