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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Bibliographic Details

Published in:	Energies
Main Authors:	Di Wang, Dingyu Jiao, Zihang Zhang, Runze Zhou, Weize Guo, Huai Su
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Subjects:	shale gas fracability combinatorial machine learning interpretable
Online Access:	https://www.mdpi.com/1996-1073/18/1/186