Geological Literature
Machine learning approach to estimate deep temperature distribution resistivity structure in geothermal fields in El Salvador (P40)(poster session)(abs.)
O. Aparicio, A. Okamoto, A. Suzuki, N. Tsuchiya
| item | description |
|---|---|
| Title | Machine learning approach to estimate deep temperature distribution resistivity structure in geothermal fields in El Salvador (P40)(poster session)(abs.) |
| Authors | O. Aparicio, A. Okamoto, A. Suzuki, N. Tsuchiya |
| Data name | Annual Meeting, Geothermal Research Society of Japan, Abstracts with Programs |
| Volume | 2021 |
| Page | 154-154 |
| Year | 2021 |
| Publisher | Geothermal Research Society of Japan |
| Language | EN |
| GEOLIS URL | https://darc.gsj.jp/archives/detail?cls=geolis&pkey=300019033 |
| @id | https://gbank.gsj.jp/ld/resource/geolis/300019033 |