Geological Literature Search (GEOLIS) (Geological Survey of Japan / AIST)

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

Journal/Book_names=Annual Meeting, Geothermal Research Society of Japan, Abstracts with Programs

volume=2021

pages=154-154

Publish_year=2021

Publisher=Geothermal Research Society of Japan

Language_of_Text=EN

ID=300019033

@id=https://gbank.gsj.jp/ld/resource/geolis/300019033