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

Development of a method to estimate temperatures and permeabilities at depth using a physics-informed neural network (abs.)

Authors=Kazuya Ishitsuka

Journal/Book_names=GEOINFORUM-2022 Annual Meeting Abstracts (online)

volume=33

pages=21-22

Publish_year=2022

Publisher=Japan Society of Geoinformatics

Language_of_Text=JA

ID=300025067

@id=https://gbank.gsj.jp/ld/resource/geolis/300025067