| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6670973 | The Journal of Supercritical Fluids | 2016 | 7 Pages |
Abstract
- CO2-brine interfacial tension was estimated by a neural network.
- Estimation accuracy was highlighted by different error matrices.
- The model outperforms significantly empirical correlations.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Jiyuan Zhang, Qihong Feng, Shuhua Wang, Xianmin Zhang, Shoulei Wang,