Modelling two-phase flow in porous media at the pore scale using the volume-of-fluid method. - Ali Q. Raeini; Martin J. Blunt; Branko Bijeljic (J. Comput. Phys., 2012)

Artificial neural networks workflow and its application in the petroleum industry. - N. Al-Bulushi; P. R. King; Martin J. Blunt; M. A. Kraaijveld (Neural Comput. Appl., 2012)

Interface control volume finite element method for modelling multi-phase fluid flow in highly heterogeneous and fractured reservoirs. - Ahmad S. Abushaikha; Martin J. Blunt; Olivier R. Gosselin; Christopher C. Pain; Matthew David Jackson (J. Comput. Phys., 2015)

Reconstruction of three-dimensional porous media using generative adversarial neural networks. - Lukas Mosser; Olivier Dubrule; Martin J. Blunt (CoRR, 2017)

Stochastic reconstruction of an oolitic limestone by generative adversarial networks. - Lukas Mosser; Olivier Dubrule; Martin J. Blunt (CoRR, 2017)

Conditioning of three-dimensional generative adversarial networks for pore and reservoir-scale models. - Lukas Mosser; Olivier Dubrule; Martin J. Blunt (CoRR, 2018)

Stochastic seismic waveform inversion using generative adversarial networks as a geological prior. - Lukas Mosser; Olivier Dubrule; Martin J. Blunt (CoRR, 2018)

A numerical model of two-phase flow at the micro-scale using the volume-of-fluid method. - Mosayeb Shams; Ali Q. Raeini; Martin J. Blunt; Branko Bijeljic (J. Comput. Phys., 2018)

DeepFlow: History Matching in the Space of Deep Generative Models. - Lukas Mosser; Olivier Dubrule; Martin J. Blunt (CoRR, 2019)