Predicting solubility of CO2 in brine by advanced machine learning systems: Application to carbon capture and sequestration
Abstract
Carbon dioxide (CO2) capture and sequestration in saline aquifers have turned into a key focus as it becomes an effective way to reduce CO2 in the atmosphere. The solubility of CO2 in brine is of vital role in monitoring CO2 sequestration. In this study, based on molality of NaCl, pressure and temperature, modeling of CO2 solubility in brine has been carried out utilizing multilayer perceptron (MLP) and radial basis function neural network...
Paper Details
Title
Predicting solubility of CO2 in brine by advanced machine learning systems: Application to carbon capture and sequestration
Published Date
Oct 1, 2019
Journal
Volume
33
Pages
83 - 95
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