Application of unlabelled big data and deep semi-supervised learning to significantly improve the logging interpretation accuracy for deep-sea gas hydrate-bearing sediment reservoirs-Reference-Cited by-同舟云学术

Application of unlabelled big data and deep semi-supervised learning to significantly improve the logging interpretation accuracy for deep-sea gas hydrate-bearing sediment reservoirs

Published:2022-11 Issue: Volume:8 Page:2947-2963
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Zhu Linqi^ORCID,Wei Jiangong^ORCID,Wu Shiguo,Zhou Xueqing,Sun Jin

Publisher

Elsevier BV

Subject

General Energy

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