Seismic facies classification using supervised convolutional neural networks and semisupervised generative adversarial networks M Liu, M Jervis, W Li, P Nivlet Geophysics 85 (4), O47-O58, 2020 | 129 | 2020 |
A comparison of deep machine learning and Monte Carlo methods for facies classification from seismic data D Grana, L Azevedo, M Liu Geophysics 85 (4), WA41-WA52, 2020 | 89 | 2020 |
Accelerating geostatistical seismic inversion using TensorFlow: A heterogeneous distributed deep learning framework M Liu, D Grana Computers & Geosciences 124, 37-45, 2019 | 67 | 2019 |
Petrophysical characterization of deep saline aquifers for CO2 storage using ensemble smoother and deep convolutional autoencoder M Liu, D Grana Advances in Water Resources 142, 103634, 2020 | 64 | 2020 |
Stochastic nonlinear inversion of seismic data for the estimation of petroelastic properties using the ensemble smoother and data reparameterization M Liu, D Grana Geophysics 83 (3), M25-M39, 2018 | 60 | 2018 |
Time-lapse seismic history matching with an iterative ensemble smoother and deep convolutional autoencoder M Liu, D Grana Geophysics 85 (1), M15-M31, 2020 | 49 | 2020 |
Recycling of oceanic crust from a stagnant slab in the mantle transition zone: Evidence from Cenozoic continental basalts in Zhejiang Province, SE China YQ Li, CQ Ma, PT Robinson, Q Zhou, ML Liu Lithos 230, 146-165, 2015 | 49 | 2015 |
Multiscale fusion of digital rock images based on deep generative adversarial networks M Liu, T Mukerji Geophysical Research Letters 49 (9), e2022GL098342, 2022 | 40 | 2022 |
Joint Inversion of Geophysical Data for Geologic Carbon Sequestration Monitoring: A Differentiable Physics‐Informed Neural Network Model M Liu, D Vashisth, D Grana, T Mukerji Journal of Geophysical Research: Solid Earth, e2022JB025372, 2023 | 39 | 2023 |
Uncertainty quantification in stochastic inversion with dimensionality reduction using variational autoencoder M Liu, D Grana, LP de Figueiredo Geophysics 87 (2), M43-M58, 2022 | 31 | 2022 |
Prediction of CO₂ Saturation Spatial Distribution Using Geostatistical Inversion of Time-Lapse Geophysical Data D Grana, M Liu, M Ayani IEEE Transactions on Geoscience and Remote Sensing 59 (5), 3846-3856, 2020 | 28 | 2020 |
3D seismic facies classification using convolutional neural network and semi-supervised generative adversarial network M Liu, W Li, M Jervis, P Nivlet SEG technical program expanded abstracts 2019, 4995-4999, 2019 | 27 | 2019 |
Stochastic inversion method of time-lapse controlled source electromagnetic data for CO2 plume monitoring M Ayani, D Grana, M Liu International Journal of Greenhouse Gas Control 100, 103098, 2020 | 26 | 2020 |
Hierarchical homogenization with deep‐learning‐based surrogate model for rapid estimation of effective permeability from digital rocks M Liu, R Ahmad, W Cai, T Mukerji Journal of Geophysical Research: Solid Earth, e2022JB025378, 2023 | 23 | 2023 |
Generation and evolution of overpressure caused by hydrocarbon generation in the Jurassic source rocks of the central Junggar Basin, northwestern China X Guo, S He, K Liu, Z Yang, S Yuan, M Liu AAPG Bulletin 103 (7), 1553-1574, 2019 | 23 | 2019 |
Ensemble-based seismic history matching with data reparameterization using convolutional autoencoder M Liu, D Grana SEG Technical Program Expanded Abstracts 2018, 3156-3160, 2018 | 22 | 2018 |
Probabilistic physics-informed neural network for seismic petrophysical inversion P Li, M Liu, M Alfarraj, P Tahmasebi, D Grana Geophysics 89 (2), M17-M32, 2024 | 16 | 2024 |
Data driven machine learning models for shale gas adsorption estimation L Wang, M Liu, A Altazhanov, B Syzdykov, J Yan, X Meng, K Jin SPE Europec featured at EAGE Conference and Exhibition?, D031S017R002, 2020 | 12 | 2020 |
Ensemble-based joint inversion of PP and PS seismic data using full Zoeppritz equations M Liu, D Grana SEG International Exposition and Annual Meeting, SEG-2018-2993625, 2018 | 9 | 2018 |
Computation of effective elastic moduli of rocks using hierarchical homogenization R Ahmad, M Liu, M Ortiz, T Mukerji, W Cai Journal of the Mechanics and Physics of Solids 174, 105268, 2023 | 8 | 2023 |