Machine learning prediction of methane, ethane, and propane solubility in pure water and electrolyte solutions: Implications for stray gas migration modeling
Research output: Contribution to journal › Article › Research › peer-review
Authors
Organisational units
External Organisational units
- Institute of Mechanics and Fluid Dynamics, TU Bergakademie Freiberg
- Department of Polymer Engineering and Color Technology, Amirkabir University of Technology, Tehran, Iran
- School of Mining
- University of Tehran
- Taiyuan University of Science and Technology
Details
| Original language | English |
|---|---|
| Pages (from-to) | 971-984 |
| Number of pages | 14 |
| Journal | Acta Geochimica |
| Volume | 43 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - Oct 2024 |
