Interpretable Combinatorial Machine Learning-Based Shale Fracability Evaluation Methods

Shale gas, as an important unconventional hydrocarbon resource, has attracted much attention due to its great potential and the need for energy diversification. However, shale gas reservoirs with low permeability and low porosity pose challenges for extraction, making shale fracability evaluation cr...

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Dades bibliogràfiques

Autors principals:	Di Wang, Dingyu Jiao, Zihang Zhang, Runze Zhou, Weize Guo, Huai Su
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-01-01
Col·lecció:	Energies
Matèries:	shale gas fracability combinatorial machine learning interpretable
Accés en línia:	https://www.mdpi.com/1996-1073/18/1/186
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