Bio

Mingliang Liu is a Research Scientist at the Stanford Center for Earth Resources Forecasting (SCERF). His research focuses on multiscale subsurface characterization and the sustainable development of Earth resources.

Academic Appointments

Boards, Advisory Committees, Professional Organizations

  • Associate Editor, Geophysics (2023 - Present)
  • Associate Editor, Computers and Geosciences (2022 - Present)

Contact

  • Academic
    University - Academic staff Department: Energy Science & Engineering Position: Physical Science Research Scientist

Additional Info

Links

All Publications

  • Hierarchical Homogenization With Deep-Learning-Based Surrogate Model for Rapid Estimation of Effective Permeability From Digital Rocks JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH Liu, M., Ahmad, R., Cai, W., Mukerji, T. 2023; 128 (2)

    View details for DOI 10.1029/2022JB025378

    View details for Web of Science ID 000936298000001

  • Joint Inversion of Geophysical Data for Geologic Carbon Sequestration Monitoring: A Differentiable Physics-Informed Deep Learning Model Journal of Geophysical Research: Solid Earth Liu, M., Vashisth, D., Grana, D., Mukerji, T. 2023; 128 (3)

    View details for DOI 10.1029/2022JB025372

  • Multiscale Fusion of Digital Rock Images Based on Deep Generative Adversarial Networks GEOPHYSICAL RESEARCH LETTERS Liu, M., Mukerji, T. 2022; 49 (9)

    View details for DOI 10.1029/2022GL098342

    View details for Web of Science ID 000795770000001

  • Uncertainty quantification in stochastic inversion with dimensionality reduction using variational autoencoder GEOPHYSICS Liu, M., Grana, D., de Figueiredo, L. P. 2022; 87 (2): M43-M58

    View details for DOI 10.1190/geo2021-0138.1

  • Stochastic nonlinear inversion of seismic data for the estimation of petroelastic properties using the ensemble smoother and data reparameterization GEOPHYSICS Liu, M., Grana, D. 2018; 83 (3): M25–M39

    View details for DOI 10.1190/GEO2017-0713.1

    View details for Web of Science ID 000443596300068

  • Frequency-domain electromagnetic induction for the prediction of electrical conductivity and magnetic susceptibility using geostatistical inversion and randomized tensor decomposition GEOPHYSICS Liu, M., Narciso, J., Grana, D., Van De Vijver, E., Azevedo, L. 2023; 88 (6): E159-E171

    View details for DOI 10.1190/GEO2022-0443.1

    View details for Web of Science ID 001164124700012

  • Computation of effective elastic moduli of rocks using hierarchical homogenization JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS Ahmad, R., Liu, M., Ortiz, M., Mukerji, T., Cai, W. 2023; 174

    View details for DOI 10.1016/j.jmps.2023.105268

    View details for Web of Science ID 000951654900001

  • Joint Inversion of Geophysical Data for Geologic Carbon Sequestration Monitoring: A Differentiable Physics‐Informed Neural Network Model Journal of Geophysical Research: Solid Earth Liu, M., Vashisth, D., Grana, D., Mukerji, T. 2023; 128 (3)

    View details for DOI 10.1029/2022JB025372

  • Randomized Tensor Decomposition for Large-Scale Data Assimilation Problems for Carbon Dioxide Sequestration MATHEMATICAL GEOSCIENCES Liu, M., Grana, D., Mukerji, T. 2022

    View details for DOI 10.1007/s11004-022-10005-1

    View details for Web of Science ID 000802314500001

  • Prediction of CO2 Saturation Spatial Distribution Using Geostatistical Inversion of Time-Lapse Geophysical Data IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING Grana, D., Liu, M., Ayani, M. 2021; 59 (5): 3846-3856

    View details for DOI 10.1109/TGRS.2020.3018910

    View details for Web of Science ID 000642096400017

  • Stochastic inversion method of time-lapse controlled source electromagnetic data for CO2 plume monitoring INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL Ayani, M., Grana, D., Liu, M. 2020; 100

    View details for DOI 10.1016/j.ijggc.2020.103098

    View details for Web of Science ID 000567840400002

  • Petrophysical characterization of deep saline aquifers for CO2 storage using ensemble smoother and deep convolutional autoencoder ADVANCES IN WATER RESOURCES Liu, M., Grana, D. 2020; 142

    View details for DOI 10.1016/j.advwatres.2020.103634

    View details for Web of Science ID 000550807600004

  • A comparison of deep machine learning and Monte Carlo methods for facies classification from seismic data GEOPHYSICS Grana, D., Azevedo, L., Liu, M. 2020; 85 (4): WA41–WA52

    View details for DOI 10.1190/GEO2019-0405.1

    View details for Web of Science ID 000583755100064

  • Seismic facies classification using supervised convolutional neural networks and semisupervised generative adversarial networks GEOPHYSICS Liu, M., Jervis, M., Li, W., Nivlet, P. 2020; 85 (4): O47–O58

    View details for DOI 10.1190/GEO2019-0627.1

    View details for Web of Science ID 000583755100035

  • Time-lapse seismic history matching with an iterative ensemble smoother and deep convolutional autoencoder GEOPHYSICS Liu, M., Grana, D. 2020; 85 (1): M15–M31

    View details for DOI 10.1190/GEO2019-0019.1

    View details for Web of Science ID 000506219100026

  • Generation and evolution of overpressure caused by hydrocarban generation in the Jurassic source rocks of the central Junggar Basin, northwestern China AAPG BULLETIN Guo, X., He, S., Liu, K., Yang, Z., Yuan, S., Liu, M. 2019; 103 (7): 1553–74

    View details for DOI 10.1306/1213181614017139

    View details for Web of Science ID 000475472700002

  • Accelerating geostatistical seismic inversion using TensorFlow: A heterogeneous distributed deep learning framework COMPUTERS & GEOSCIENCES Liu, M., Grana, D. 2019; 124: 37–45

    View details for DOI 10.1016/j.cageo.2018.12.007

    View details for Web of Science ID 000458938800004

  • Recycling of oceanic crust from a stagnant slab in the mantle transition zone: Evidence from Cenozoic continental basalts in Zhejiang Province, SE China LITHOS Li, Y., Ma, C., Robinson, P. T., Zhou, Q., Liu, M. 2015; 230: 146–65

    View details for DOI 10.1016/j.lithos.2015.05.021

    View details for Web of Science ID 000357839000011

https://orcid.org/0000-0002-5783-4490