Quantitative logging data clustering with hidden Markov model to assist log unit classification

Quantitative logging data clustering with hidden Markov model to assist log unit classification

Abstract Revealing subsurface structures is a fundamental task in geophysical and geological studies. Logging data are usually acquired through drilling projects, which constrain the subsurface structure, and together with the description of drill core samples, are used to distinguish geological uni...

書誌詳細
主要な著者:	Suguru Yabe, Yohei Hamada, Rina Fukuchi, Shunichi Nomura, Norio Shigematsu, Tsutomu Kiguchi, Kenta Ueki
フォーマット:	論文
言語:	English
出版事項:	SpringerOpen 2022-06-01
シリーズ:	Earth, Planets and Space
主題:	Hidden Markov model Logging data Clustering Unit classification
オンライン･アクセス:	https://doi.org/10.1186/s40623-022-01651-0

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