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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Hlavní autoři:	Di Wang, Dingyu Jiao, Zihang Zhang, Runze Zhou, Weize Guo, Huai Su
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-01-01
Edice:	Energies
Témata:	shale gas fracability combinatorial machine learning interpretable
On-line přístup:	https://www.mdpi.com/1996-1073/18/1/186
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