Mingliang Liu
Mingliang Liu
Verified email at stanford.edu
Title
Cited by
Cited by
Year
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
392015
Accelerating geostatistical seismic inversion using TensorFlow: A heterogeneous distributed deep learning framework
M Liu, D Grana
Computers & geosciences 124, 37-45, 2019
352019
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
272018
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
262020
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
262020
Time-lapse seismic history matching with an iterative ensemble smoother and deep convolutional autoencoder
M Liu, D Grana
Geophysics 85 (1), M15-M31, 2020
262020
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
142020
Ensemble-based seismic history matching with data reparameterization using convolutional autoencoder
M Liu, D Grana
SEG Technical Program Expanded Abstracts 2018, 3156-3160, 2018
132018
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
92019
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
72020
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
52019
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
42020
Ensemble-based joint inversion of PP and PS seismic data using full Zoeppritz equations
M Liu, D Grana
SEG Technical Program Expanded Abstracts 2018, 511-515, 2018
32018
Machine-learning based prediction of phase velocities and phase angles from group velocities and group angles in an anisotropic elastic medium—A feasibility study
S Mallick, P Rath, M Liu, SA Darhower, CD Minh Ha, AM Moraes, ...
SEG International Exposition and Annual Meeting, 2019
12019
Deep learning network optimization and hyper-parameter tuning
M Jervis, M Liu, W Li, R Smith
SEG International Exposition and Annual Meeting, 2019
12019
Seismic history matching in the low-dimensional model and data space using deep convolutional auto-encoder
M Liu, D Grana
SEG Technical Program Expanded Abstracts 2019, 3324-3328, 2019
12019
Stochastic seismic and petrophysical inversion using an ensemble-based method and data reparameterization
M Liu, D Grana
SEG Technical Program Expanded Abstracts 2017, 3092-3096, 2017
12017
Uncertainty quantification in stochastic inversion with dimensionality reduction using variational autoencoder
M Liu, D Grana, LP de Figueiredo
Geophysics 87 (2), M43-M58, 2022
2022
Simulation of Digital Rock Images Using Style-based Generative Adversarial Networks
M Liu, T Mukerji
AGU Fall Meeting 2021, 2021
2021
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
2021
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