Study on lithology identification using a multi-objective optimization strategy to improve integrated learning models: a case study of the Permian Lucaogou Formation in the Jimusaer Depression

Lithology identification is a critical task in logging interpretation and reservoir evaluation, with significant implications for recognizing oil and gas reservoirs. The challenge in shale reservoirs lies in the similar logging response characteristics of different lithologies and the imbalanced dat...

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Hauptverfasser:	Xili Deng, Jiahong Li, Junkai Chen, Cheng Feng
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2025-03-01
Schriftenreihe:	Frontiers in Earth Science
Schlagworte:	shale reservoir lithology identification multi-objective optimization artificial rabbit optimization model integrated learning model comprehensive sampling
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/feart.2025.1540035/full
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