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Surrogate modeling for porous flow using deep neural networks

Authors :
Luhang Shen
Daolun Li
Wenshu Zha
Xiang Li
Xuliang Liu
Source :
Journal of Petroleum Science and Engineering. 213:110460
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Subjects

Subjects :
Fuel Technology
Geotechnical Engineering and Engineering Geology

Details

ISSN :
09204105
Volume :
213
Database :
OpenAIRE
Journal :
Journal of Petroleum Science and Engineering
Accession number :
edsair.doi...........81f139994fe685b0b2e3de018b33e97f

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