Journal
INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES
Volume 11, Issue 3, Pages 325-332Publisher
OXFORD UNIV PRESS
DOI: 10.1093/ijlct/ctu034
Keywords
CO2 sequestration; CO2-brine solubility; least square support vector machine
Categories
Ask authors/readers for more resources
Specification of CO2 and brine phase behaviour plays a vital role in CO2 sequestration and CO2 reduction from atmosphere to deep saline aquifers. Because CO2 solubility in brines determine how much carbon can be stored in deep saline aquifers. To tackle the referred issue, high precise model with low uncertainty parameters called 'least square support vector machine (LS-SVM)' was executed to predict CO2-brine solubility. The proposed intelligent-based approach is examined by using extensive experimental data reported in open literature. Results obtained from the proposed numerical solution model were compared with the relevant experimental CO2-brine solubility data. The average relative absolute deviation between the model predictions and the relevant experimental data was found to be <0.1% for LS-SVM model.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available