Application of Machine Learning Algorithms to Predict Gas Sorption Capacity in Heterogeneous Porous Material
Shale gas is a clean and effective energy source that plays a big part in the transition from high-carbon to low-carbon energy, serving as a link for the growth of low-carbon energy in the future. Since shale rock is a heterogeneous porous material, the best production strategy is determined by a pr...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
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| Series: | Resources |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9276/14/5/80 |
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