Imperial College London

ProfessorMartinBlunt

Faculty of EngineeringDepartment of Earth Science & Engineering

Chair in Flow in Porous Media
 
 
 
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Contact

 

+44 (0)20 7594 6500m.blunt Website

 
 
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Location

 

2.38ARoyal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Shams:2021:10.1016/j.advwatres.2021.104064,
author = {Shams, R and Masihi, M and Boozarjomehry, RB and Blunt, MJ},
doi = {10.1016/j.advwatres.2021.104064},
journal = {ADVANCES IN WATER RESOURCES},
title = {A hybrid of statistical and conditional generative adversarial neural network approaches for reconstruction of 3D porous media (ST-CGAN)},
url = {http://dx.doi.org/10.1016/j.advwatres.2021.104064},
volume = {158},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Shams,R
AU - Masihi,M
AU - Boozarjomehry,RB
AU - Blunt,MJ
DO - 10.1016/j.advwatres.2021.104064
PY - 2021///
SN - 0309-1708
TI - A hybrid of statistical and conditional generative adversarial neural network approaches for reconstruction of 3D porous media (ST-CGAN)
T2 - ADVANCES IN WATER RESOURCES
UR - http://dx.doi.org/10.1016/j.advwatres.2021.104064
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000719307600003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 158
ER -