Publications
"Mosser, Lukas J; ", Mapping geo-cellular models to unstructured simulation grids, SPE Annual Technical Conference and Exhibition?, , , D023S099R007, 2013, SPE
"Mosser, L; Matthäi, S; ", Tessellations stable under iteration, Evaluation of application, , , , 2014,
"Mosser, Lukas; Dubrule, Olivier; Blunt, Martin J; ", Reconstruction of three-dimensional porous media using generative adversarial neural networks, Physical Review E, 96, 4, 043309, 2017, American Physical Society
"Milliotte, Caroline; Jonoud, Sima; Wennberg, Ole Petter; Matthäi, Stephan K; Jurkiw, Alexandra; Mosser, Lukas; ", Well-data-based discrete fracture and matrix modelling and flow-based upscaling of multilayer carbonate reservoir horizons, , , , 2018,
"Mosser, Lukas; Dubrule, Olivier; Blunt, Martin J; ", Stochastic reconstruction of an oolitic limestone by generative adversarial networks, Transport in Porous Media, 125, 1, 81-103, 2018, Springer Netherlands
"Mosser, Lukas; Dubrule, Olivier; Blunt, Martin J; ", Conditioning of generative adversarial networks for pore and reservoir scale models, 80th EAGE Conference and Exhibition 2018, 2018, 1, 1-5, 2018, European Association of Geoscientists & Engineers
"Mosser, Lukas; Blévec, Thomas Le; Dubrule, Olivier; ", Reconstruction of Three-Dimensional Porous Media: Statistical or Deep Learning Approach?, Statistical Data Science, , , 125-139, 2018,
"Mosser, Lukas; Kimman, Wouter; Dramsch, Jesper; Purves, Steve; De la Fuente Briceño, A; Ganssle, Graham; ", Rapid seismic domain transfer: Seismic velocity inversion and modeling using deep generative neural networks, 80th eage conference and exhibition 2018, 2018, 1, 1-5, 2018, European Association of Geoscientists & Engineers
"Mosser, Lukas; Dubrule, Olivier; Blunt, Martin J; ", Stochastic seismic waveform inversion using generative adversarial networks as a geological prior, Mathematical Geosciences, 52, 1, 53-79, 2020, Springer Berlin Heidelberg Berlin/Heidelberg
"Mosser, Lukas; Dubrule, Olivier; Blunt, Martin J; ", Deepflow: history matching in the space of deep generative models, arXiv preprint arXiv:1905.05749, , , , 2019,
"Mosser, L; Oliveira, R; Steventon, M; ", Probabilistic seismic interpretation using Bayesian neural networks, 81st EAGE Conference and Exhibition 2019, 2019, 1, 1-5, 2019, European Association of Geoscientists & Engineers
"Dawson, Matthew A; Kampfer, Günther; Mosser, Lukas; ", Mapping of fracture geometries in a multi-well stimulation process, , , , , 2020, "US Patent 10,605,074"
"Dawson, Matthew A; Kampfer, Günther; Mosser, Lukas; ", Determining diverter effectiveness in a fracture wellbore, , , , , 2019, "US Patent 10,378,333"
"Dawson, Matthew A; Kampfer, Günther; Mosser, Lukas; ", Determining diverter effectiveness in a fracture wellbore, , , , , 2020, "US Patent 10,753,194"
"Dawson, Matthew A; Kampfer, Günther; Mosser, Lukas; ", Determining diverter effectiveness in a fracture wellbore, , , , , 2020, "US Patent 10,753,195"
"Dawson, Matthew A; Kampfer, Günther; Mosser, Lukas; ", Mapping of fracture geometries in a multi-well stimulation process, , , , , 2019, "US Patent 10,215,014"
"Gayon-Lombardo, Andrea; Mosser, Lukas; Brandon, Nigel P; Cooper, Samuel J; "," Stochastic reconstruction of periodic, three-dimensional multi-phase electrode microstructures using generative adversarial networks, arXiv, , , arXiv: 2003.11632, 2020,
"Mosser, L; Matthäi, SK; ", Tessellations stable under iteration. Evaluation of application as an improved stochastic discrete fracture modeling algorithm, International Discrete Fracture Network Engineering Conference, , , 163, 2014,
"Mosser, L; Purves, S; Naeini, E Zabihi; ", Deep Bayesian neural networks for fault identification and uncertainty quantification, First EAGE Digitalization Conference and Exhibition, 2020, 1, 1-5, 2020, European Association of Geoscientists & Engineers
"Mosser, Lukas; del Monte, Amato; Avseth, Per; Draege, Anders; MacGregor, Lucy; ", Investigating the AVO Signature of a North Sea Oil-Field Using Pseudo-Wells and Unsupervised Deep Learning, "Conference Proceedings, 81st EAGE Conference and Exhibition 2019", 2019, , 1 - 5, 2019, European Association of Geoscientists & Engineers
"Gayon-Lombardo, Andrea; Mosser, Lukas; Brandon, Nigel P; Cooper, Samuel J; ", Pores for thought: generative adversarial networks for stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries, npj Computational Materials, 6, 1, 82, 2020, Nature Publishing Group UK London
"Purves, S; Mosser, L; Kvalheim, A Klepp; Alaei, B; Naeini, E Zabihi; ", 3D Seismic Based Reservoir Property Prediction Using Deep Convolutional Neural Networks, 82nd EAGE Annual Conference & Exhibition, 2021, 1, 1-5, 2021, European Association of Geoscientists & Engineers
"Mosser, Lukas J; ", Reservoir modeling and inversion using generative adversarial network priors, , , , , 2020, Imperial College London
"Mosser, L; Dubrule, O; Blunt, M; ", Stochastic seismic waveform inversion using generative adversarial networks as a geological prior: First EAGE, PESGB Workshop Machine Learning, 3720, , , 2018,
"Mosser, L; Purves, S; Naeini, E Zabihi; ", Uncertainty quantification for deep learning in geoscience applications, EAGE/AAPG Digital Subsurface for Asia Pacific Conference, 2020, 1, 1-3, 2020, European Association of Geoscientists & Engineers
"Gayon Lombardo, Andrea; Mosser, Lukas; Brandon, Nigel P; Cooper, Samuel J; "," Pores for Thought: Reconstructing 3D, Multi-Phase Electrode Microstructures with Periodic Boundaries Using Generative Adversarial Networks for Battery Design, Electrochemical Society Meeting Abstracts prime2020, , 2, 332-332, 2020, "The Electrochemical Society, Inc."
"Mosser, Lukas; Naeini, Ehsan Zabihi; ", Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications, arXiv preprint arXiv:2105.12115, , , , 2021,
"Papadopoulos, Theodoros; Mosser, L; Oikonomou, D; Naeini, EZ; Karantzalos, K; ", Few-shot Learning for Semantic Segmentation of Seismic Data, 82nd EAGE Annual Conference & Exhibition, 2021, 1, 1-5, 2021, European Association of Geoscientists & Engineers
"Mosser, L; Naeini, EZ; ", Deep Probabilistic Neural Networks for Geoscience, 82nd EAGE Annual Conference & Exhibition, 2021, 1, 1-5, 2021, European Association of Geoscientists & Engineers
"Mosser, L; Papadopoulos, T; Kuha, A; Herredsvela, J; Naeini, EZ; "," A comparison of traditional, supervised, and unsupervised machine learning-based denoising methods for post-stack seismic data, Second EAGE Digitalization Conference and Exhibition, 2022, 1, 1-5, 2022, European Association of Geoscientists & Engineers
"Mosser, Lukas; Zabihi Naeini, Ehsan; ", A comprehensive study of calibration and uncertainty quantification for Bayesian convolutional neural networks—An application to seismic data, Geophysics, 87, 4, IM157-IM176, 2022, Society of Exploration Geophysicists
"Mosser, L; Dubrule, O; Blunt, MJ; "," Stochastic seismic waveform inversion using generative adversarial networks as a geological prior: Mathematical Geosciences, 52, 53–79, doi: 10.1007/s11004-019-09832-6, Crossref Web of Science, , , , 2020,
"Mosser, Lukas; ", SNIST: A Benchmark for Seismic Velocity Inversion from Synthetics, 10.5281/zenodo.6622822, , , , 2022,
"Mosser, Lukas; Ghon, George; Baechle, Gregor; ", Interpretation of deep neural networks for carbonate thin section classification, Second International Meeting for Applied Geoscience & Energy, , , 371-375, 2022, Society of Exploration Geophysicists and American Association of Petroleum …
"Mosser, L; Alaei, B; ", Deep learning-based unsupervised denoising for coherent noise attenuation in seismic data, Second EAGE Subsurface Intelligence Workshop, 2022, 1, 1-5, 2022, European Association of Geoscientists & Engineers
"Lombardo, Andrea Gayon; Mosser, Lukas; Brandon, Nigel P; Cooper, Samuel J; "," Pores for Thought: Reconstructing 3D, Multi-Phase Electrode Microstructures with Periodic Boundaries Using Generative Adversarial Networks for Battery Design, "PRiME 2020 (ECS, ECSJ, & KECS Joint Meeting)", , , , , ECS
"Mosser, L; ", Deep Diffusion Models for Facies Modeling, 84th EAGE Annual Conference & Exhibition Workshop Programme, 2023, 1, 1-5, 2023, European Association of Geoscientists & Engineers
"Mosser, L; Aursand, P; Brakstad, KS; Lehre, C; Myhre-Bakkevig, J; ", Exploration Robot Chat: Uncovering Decades of Exploration Knowledge and Data with Conversational Large Language Models, SPE Norway Subsurface Conference?, , , D011S002R006, 2024, SPE
"Stoddart, D; Mosser, L; Hartwig, A; Aursand, P; ", TOC prediction using machine learning-a case study from offshore Norway, Second EAGE Workshop on Machine Learning, 2021, 1, 1-2, 2021, European Association of Geoscientists & Engineers