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

Artificial Intelligence-based methods for estimating supercritical geothermal resources (OS2-5)(abs.)

Authors=WATANABE N., YAMAYA Y., OKAMOTO K., MURATA Y., ASANUMA H., SUZUKI K., KOBAYASHI Y., OKAMOTO A., SUZUKI A., MOGI T., ISHITSUKA K., KITAMURA K., KAJIWARA T., SUGIMOTO K., SAITO R.

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

volume=2019

pages=36-36

Publish_year=2019

Publish_Country=JPN

Publisher=Geothermal Research Society of Japan

Language_of_Text=JA

ID=202070049

@id=https://gbank.gsj.jp/ld/resource/geolis/202070049