Olivier Dubrule

Imperial College London — United Kingdom

Engineering · Physical Sciences

22h-index2.5kcitations79works0.02yr avg
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Research Topics

Reservoir Engineering and Simulation Methods(50), Geological Modeling and Analysis(21), Seismic Imaging and Inversion Techniques(19), Soil Geostatistics and Mapping(17), Hydraulic Fracturing and Reservoir Analysis(14)

Publications79 total

Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification
Computers & Geosciences·2022· 123 citedOpen Access
Geostatistical Earth modeling of cyclic depositional facies and diagenesis
AAPG Bulletin·2020· 7 cited
DeepFlow: History Matching in the Space of Deep Generative Models
arXiv (Cornell University)·2019· 25 citedOpen Access
Deep Stochastic Inversion
2019· 1 cited
Deep Stochastic Inversion
81st EAGE Conference and Exhibition 2019·2019· 1 cited
Stochastic Seismic Waveform Inversion Using Generative Adversarial Networks As A Geological Prior
Mathematical Geosciences·2018· 11 citedOpen Access
Geostatistical Earth Modelling of Cyclic Depositional Facies and Diagenesis
2018· 1 cited
Conditioning of Generative Adversarial Networks for Pore and Reservoir Scale Models
Proceedings·2018· 30 cited
A New Geostatistical Method for Modelling Sedimentary Facies Architectures
Proceedings·2018
Stochastic seismic waveform inversion using generative adversarial\n networks as a geological prior
arXiv (Cornell University)·2018· 2 citedOpen Access
Reconstruction of Three-Dimensional Porous Media: Statistical or Deep Learning Approach?
WORLD SCIENTIFIC (EUROPE) eBooks·2018· 3 cited
Geostatistical Modelling of Cyclic and Rhythmic Facies Architectures
Mathematical Geosciences·2018· 16 citedOpen Access
Stochastic Reconstruction of an Oolitic Limestone by Generative Adversarial Networks
Transport in Porous Media·2018· 10 citedOpen Access
Conditioning of three-dimensional generative adversarial networks for pore and reservoir-scale models
arXiv (Cornell University)·2018· 14 citedOpen Access
Kriging, Splines, Conditional Simulation, Bayesian Inversion and Ensemble Kalman Filtering
2018· 6 cited
Geostatistical modelling of cyclic and rhythmic facies architectures
2017
Reconstruction of three-dimensional porous media using generative adversarial neural networks
Physical review. E·2017· 527 citedOpen Access
Towards a Better Understanding of the Facies Indicator Variogram
Proceedings·2017
Indicator Variogram Models: Do We Have Much Choice?
Mathematical Geosciences·2017· 28 cited
Modelling Asymmetrical Facies Successions Using Pluri-Gaussian Simulations
Quantitative geology and geostatistics·2017· 8 cited
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Frequent Co-authors

Lukas Mosser(8), Martin J. Blunt(7), P. Lamy(7), Cédric M. John(6), Thomas Le Blévec(6), A. Haas(5), P. Swaby(5), Gary J. Hampson(5), P. S. Rowbotham(4), C. Kostov(2), R. C. Bissell(2), M. Thibaut(2), L. Y. Hu(2), Harriet Dawson(1), Olivier Lépine(1), Thierry Charles(1), Jean‐Michel Guéméné(1), B. Corre(1), G. Vincent(1), Eivind Damsleth(1)