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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak: Suguru Yabe, Yohei Hamada, Rina Fukuchi, Shunichi Nomura, Norio Shigematsu, Tsutomu Kiguchi, Kenta Ueki
Formatua: Artikulua
Hizkuntza:English
Argitaratua: SpringerOpen 2022-06-01
Saila:Earth, Planets and Space
Gaiak:
Hidden Markov model
Logging data
Clustering
Unit classification
Sarrera elektronikoa:https://doi.org/10.1186/s40623-022-01651-0

Internet

https://doi.org/10.1186/s40623-022-01651-0

Antzeko izenburuak