Clastic Rock Lithology Identification Based on Multivariate Feature Enhancement and Dynamic Confidence-Weighted Ensemble

The strong heterogeneity of clastic reservoirs and the phenomenon of similar log responses for different lithologies (i.e., “same spectrum, different rocks”) significantly weaken feature separability. Furthermore, distribution shifts between different wells cause traditional models to suffer from se...

Cijeli opis

Bibliografski detalji

Glavni autori:	Kang Chen, Guoyun Zhong, Fan Diao
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2026-02-01
Serija:	Applied Sciences
Teme:	lithology identification well logs dynamic ensemble deep learning confidence weighting clastic rocks
Online pristup:	https://www.mdpi.com/2076-3417/16/4/1808
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!