Estimating mutual solubility of a CO₂ in NaCl aqueous solution system using connectionist approaches

Abstract

Expert models of GP, MLP-ANNs and LSSVM were used to evaluate CO₂ solubility in NaCl aqueous solution. Temperature, pressure, and molarity of NaCl aqueous solution were considered as the inputs of the model and CO₂ (mole/kg) solubility in NaCl solutions was the models output. The proposed GP, LSSVM, and ANNs models are verified by comparing their results with extensive experimental data for CO₂–NaCl solutions solubility from open literature. LSSVM modeling approach can be applied to model the system with satisfactory precision. Meanwhile, using the AI models precise predictions are provided without applying complicated thermodynamic principles.

Keywords:

• Artificial neural networks
• carbon dioxide sequestration
• genetic programming
• modeling
• NaCl