Machine Learning Algorithms for Lithofacies Classification of the Gulong Shale from the Songliao Basin, China

Lithofacies identification and classification are critical for characterizing the hydrocarbon potential of unconventional resources. Although extensive applications of machine learning models in predicting lithofacies have been applied to conventional reservoir systems, the effectiveness of machine...

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Detalhes bibliográficos

Principais autores:	Mingqiu Hou, Yuxiang Xiao, Zhengdong Lei, Zhi Yang, Yihuai Lou, Yuming Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-03-01
coleção:	Energies
Assuntos:	machine learning models ensemble methods XGBoost random forest shale lithofacies well log
Acesso em linha:	https://www.mdpi.com/1996-1073/16/6/2581
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