| 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 | 108 | 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 | 71 | 2020 |
| Accelerating geostatistical seismic inversion using TensorFlow: A heterogeneous distributed deep learning framework M Liu, D Grana Computers & Geosciences 124, 37-45, 2019 | 61 | 2019 |
| 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 | 54 | 2018 |
| 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 | 45 | 2020 |
| Time-lapse seismic history matching with an iterative ensemble smoother and deep convolutional autoencoder M Liu, D Grana Geophysics 85 (1), M15-M31, 2020 | 45 | 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 | 44 | 2015 |
| 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 | 26 | 2019 |
| Uncertainty quantification in stochastic inversion with dimensionality reduction using variational autoencoder M Liu, D Grana, LP de Figueiredo Geophysics 87 (2), M43-M58, 2022 | 25 | 2022 |
| Multiscale fusion of digital rock images based on deep generative adversarial networks M Liu, T Mukerji Geophysical Research Letters 49 (9), e2022GL098342, 2022 | 23 | 2022 |
| 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 |
| 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 | 20 | 2020 |
| 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 | 17 | 2020 |
| 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 | 16 | 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 | 16 | 2019 |
| 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 | 12 | 2023 |
| 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 | 8 | 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 | 8 | 2018 |
| Deep learning network optimization and hyperparameter tuning for seismic lithofacies classification M Jervis, M Liu, R Smith The Leading Edge 40 (7), 514-523, 2021 | 7 | 2021 |
| 3D seismic facies classification using convolutional neural network and semi-supervised generative adversarial network: 89th Annual International Meeting, SEG, Expanded … M Liu, W Li, M Jervis, P Nivlet Abstract, 2019 | 5 | 2019 |
Dario GranaUniversity of WyomingVerified email at uwyo.edu
