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

A case study of machine learning and deep learning application to seismic data analysis

Authors=Yasutaka Ichie, Yuta Mizutani

Journal/Book_names=Journal of the Japanese Association for Petroleum Technology

volume=89

number=2

pages=125-135

Publish_year=2024

Publisher=The Japanese Association for Petroleum Technology

Language_of_Text=JA

Language_of_Abs=EN

ISSN=03709868

DOI=10.3720/japt.89.125

ID=300038067

@id=https://gbank.gsj.jp/ld/resource/geolis/300038067