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

Estimation of deep crustal temperature in Kakkonda geothermal field by deep neural network (P32)(poster session)(abs.)

Authors=E. Osawa, Y. Kobayashi, K. Ishitsuka, T. Mogi, N. Watanabe, Y. Yamaya, K. Okamoto, H. Asanuma, T. Kajiwara, K. Sugimoto, R. Saito, K. Nagano

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

volume=2021

pages=146-146

Publish_year=2021

Publisher=Geothermal Research Society of Japan

Language_of_Text=JA

ID=300019027

@id=https://gbank.gsj.jp/ld/resource/geolis/300019027