Martin J. Blunt

1. Stochastic reconstruction of an oolitic limestone by generative adversarial networks
   2017/12/07 by Lukas Mosser, Olivier Dubrule, Mosser, Lukas +3 · 3 citations
   Computer Science · Mathematics · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Machine Learning (stat.ML) #cs.CV #physics.geo-ph #stat.ML
2. Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
   2018/06/10 by Lukas Mosser, Mosser, Lukas, Olivier Dubrule +3 · 3 citations
   Computer Science · Earth and Planetary Sciences · Mathematics · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Machine Learning (stat.ML) #Music and Audio Processing #Seismic Imaging and Inversion Techniques #Underwater Acoustics Research #cs.CV #physics.geo-ph #stat.ML
3. Conditioning of three-dimensional generative adversarial networks for pore and reservoir-scale models
   2018/02/15 by Lukas Mosser, Mosser, Lukas, Olivier Dubrule +3 · 4 citations
   Computer Science · Engineering · Mathematics · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #Enhanced Oil Recovery Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Hydraulic Fracturing and Reservoir Analysis #Machine Learning (stat.ML) #Reservoir Engineering and Simulation Methods #cs.CV #physics.geo-ph #stat.ML
4. DeepFlow: History Matching in the Space of Deep Generative Models
   2019/05/14 by Lukas Mosser, Mosser, Lukas, Olivier Dubrule +3 · 2 citations
   Computer Science · Earth and Planetary Sciences · Engineering · Mathematics · Physics and Astronomy · #68T10 (Primary) 68T20 #76T99 (Secondary) #86-04 #86-08 #Computational Physics (physics.comp-ph) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Generative Adversarial Networks and Image Synthesis #Geophysics (physics.geo-ph) #I.2.8 #I.5.1 #I.5.4 #I.6.3 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reservoir Engineering and Simulation Methods #Seismic Imaging and Inversion Techniques #acm:68T10 #acm:68T20 #acm:76T99 #acm:86-04 #acm:86-08 #cs.CV #cs.LG #msc:68T10 #msc:68T20 #msc:76T99 #msc:86-04 #msc:86-08 #physics.comp-ph #physics.geo-ph #stat.ML
5. Reconstruction of three-dimensional porous media using generative adversarial neural networks
   2017/04/11 by Lukas Mosser, Olivier Dubrule, Martin J. Blunt · 1 citation
   Computer Science · Physics and Astronomy · #cs.CV #cond-mat.mtrl-sci #physics.flu-dyn #physics.geo-ph
6. Direct Numerical Simulation of Pore-Scale Trapping Events During Capillary-Dominated Two-Phase Flow in Porous Media
   2021/05/28 by Mosayeb Shams, Kamaljit Singh, Branko Bijeljic +1 · 1 citation
7. A hybrid of statistical and conditional generative adversarial neural network approaches for reconstruction of 3D porous media (ST-CGAN)
   2021/12/01 by Reza Shams, Mohsen Masihi, Ramin Bozorgmehry Boozarjomehry +1 · 1 citation
8. Multimodal Functions as Flow Signatures in Complex Porous Media
   2018/07/19 by Branko Bijeljic, Bijeljic, Branko, Ali Q. Raeini +5 · 1 citation
   Engineering · Physics and Astronomy · #Drilling and Well Engineering #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #physics.flu-dyn
9. Carbon dioxide in enhanced oil recovery
   1993/09/01 by Martin Blunt, Martin J. Blunt, F.John Fayers +2 · 1 citation
   Chemistry · Engineering · Environmental Science · #Barrel (horology) #CO2 Sequestration and Geologic Interactions #Carbon Dioxide Capture Technologies #Carbon dioxide #Chemistry #Crude oil #Engineering #Enhanced oil recovery #Environmental engineering #Environmental science #Geology #Oil field #Petroleum #Petroleum engineering #Pulp and paper industry #Reservoir Engineering and Simulation Methods #Waste management