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Physics and Deep Learning Based Methods for Compositional Reservoir Simulation.
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Physics and Deep Learning Based Methods for Compositional Reservoir Simulation.
자료유형  
 학위논문
Control Number  
0016620724
International Standard Book Number  
9798357509932
Dewey Decimal Classification Number  
658
Main Entry-Personal Name  
Sun, Ruixiao.
Publication, Distribution, etc. (Imprint  
[S.l.] : Stanford University., 2020
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2020
Physical Description  
177 p.
General Note  
Source: Dissertations Abstracts International, Volume: 84-05, Section: B.
General Note  
Advisor: Tchelepi, Hamdi;Kovscek, Anthony R;Pan, Huanquan.
Dissertation Note  
Thesis (Ph.D.)--Stanford University, 2020.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Subject Added Entry-Topical Term  
Behavior.
Subject Added Entry-Topical Term  
Physics.
Subject Added Entry-Topical Term  
Deep learning.
Subject Added Entry-Topical Term  
Algorithms.
Subject Added Entry-Topical Term  
Permeability.
Subject Added Entry-Topical Term  
Neural networks.
Subject Added Entry-Topical Term  
Computer science.
Added Entry-Corporate Name  
Stanford University.
Host Item Entry  
Dissertations Abstracts International. 84-05B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
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Control Number  
joongbu:626944
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