Mingliang Liu
Mingliang Liu
Ph.D. Candidate, University of Wyoming
Verified email at uwyo.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
252015
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
192018
Accelerating geostatistical seismic inversion using TensorFlow: A heterogeneous distributed deep learning framework
M Liu, D Grana
Computers & Geosciences 124, 37-45, 2019
152019
Time-lapse seismic history matching with an iterative ensemble smoother and deep convolutional autoencoder
M Liu, D Grana
Geophysics 85 (1), M15-M31, 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
82018
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
52020
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
42019
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
32019
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
22020
Petrophysical characterization of deep saline aquifers for CO2 storage using ensemble smoother and deep convolutional autoencoder
M Liu, D Grana
Advances in Water Resources, 103634, 2020
22020
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
22018
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
12020
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 Technical Program Expanded Abstracts 2019, 2443-2447, 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
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, 2020
2020
Deep learning network optimization and hyper-parameter tuning
M Jervis, M Liu, W Li, R Smith
SEG Technical Program Expanded Abstracts 2019, 2283-2287, 2019
2019
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
2019
Origin and Evolution of Overpressure in the Changji Depression, Junggar Basin, Northwest China
M Liu*, S He, X Guo
International Conference and Exhibition, Melbourne, Australia 13-16 …, 2015
2015
Acceleration of Geostatistical Seismic Inversion Using TensorFlow: A Heterogeneous Distributed Machine Learning Framework
M Liu, D Grana
AAPG ACE 2018, 0
The system can't perform the operation now. Try again later.
Articles 1–19