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

PETROLEUM SCIENCE AND TECHNOLOGY(2022)

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摘要
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.
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关键词
Artificial neural networks, carbon dioxide sequestration, genetic programming, modeling, NaCl
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