Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods

J Tian, C Qi, Y Sun, ZM Yaseen, BT Pham - Engineering with Computers, 2021 - Springer
Permeability prediction is crucial in shale gas and CO 2 geological sequestration. However,
the intricate pore structure complicates the prediction of permeability. Machine learning (ML) …
被引用次数：123 相关文章

Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods

J Tian, C Qi, Y Sun, ZM Yaseen, BT Pham - Engineering with Computers, 2021 - dl.acm.org
Permeability prediction is crucial in shale gas and CO2 geological sequestration. However,
the intricate pore structure complicates the prediction of permeability. Machine learning (ML) …

Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods

T Jianwei, Q Chongchong, S Yingfeng… - Engineering with …, 2021 - search.proquest.com
Permeability prediction is crucial in shale gas and CO 2 geological sequestration. However,
the intricate pore structure complicates the prediction of permeability. Machine learning (ML) …

Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods

J Tian, C Qi, Y Sun, ZM Yaseen… - Engineering with …, 2021 - research-repository.uwa.edu.au
Permeability prediction is crucial in shale gas and CO 2 geological sequestration. However,
the intricate pore structure complicates the prediction of permeability. Machine learning (ML) …