Education & Certifications

  • M.S., Tongji University, Civil Engineering (2019)
  • B.S., Southwest Petroleum University, Civil Engineering (2016)

Contact

  • Academic
    ju1@stanford.edu
    University - Student Department: Department of Energy Science and Engineering Position: Graduate

Additional Info

Links

Work Experience

  • Research Intern, Microsoft (June 17, 2024 - September 6, 2024)

    Generative AI and Industrial Research

    Location

    Redmond, Washington, US

  • Machine Learning Research Intern, TotalEnergies (June 20, 2022 - September 9, 2022)

    ◦ Developed advanced deep-learning models using Pytorch-Geometry, harnessing the power of GNNs to simulate subsurface flow dynamics on unstructured meshes with limited temporal error accumulation.
    ◦ Architected and deployed a graph-based convolution LSTM with MeshGrahpNet (MGN), achieving an average 10% performance boost over the standard MGN benchmarks regarding long-term rollout accuracy.
    ◦ Optimized model training leveraging a multi-node, multi-GPU (A100) training setup, ensuring high performance and scalability for large-scale simulations.

    Location

    Stanford, California, US

  • Junior Research Scientist, Lawrence Livermore National Laboratory (July 1, 2019 - June 11, 2021)

    Location

    Livermore, California, US

All Publications

  • Learning CO<sub>2</sub> plume migration in faulted reservoirs with Graph Neural Networks COMPUTERS & GEOSCIENCES Ju, X., Hamon, F. P., Wen, G., Kanfar, R., Araya-Polo, M., Tchelepi, H. A. 2024; 193

    View details for DOI 10.1016/j.cageo.2024.105711

    View details for Web of Science ID 001320576800001

  • Thermo-hydro-chemical modeling and analysis of methane extraction from fractured gas hydrate-bearing sediments ENERGY Yang, M., Wang, Y., Wu, H., Zhang, P., Ju, X. 2024; 292

    View details for DOI 10.1016/j.energy.2024.130490

    View details for Web of Science ID 001183851100001

  • Numerical analysis of coupled thermal-hydro-chemo-mechanical (THCM) behavior to joint production of marine gas hydrate and shallow gas ENERGY Cheng, F., Sun, X., Li, Y., Ju, X., Yang, Y., Liu, X., Liu, W., Yang, M., Song, Y. 2023; 281

    View details for DOI 10.1016/j.energy.2023.128224

    View details for Web of Science ID 001037441900001

  • Deep-learning-based coupled flow-geomechanics surrogate model for CO(2 )sequestration INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL Tang, M., Ju, X., Durlofsky, L. J. 2022; 118

    View details for DOI 10.1016/j.ijggc.2022.103692

    View details for Web of Science ID 000814388300003

  • A deep learning-accelerated data assimilation and forecasting workflow for commercial-scale geologic carbon storage INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL Tang, H., Fu, P., Sherman, C. S., Zhang, J., Ju, X., Hamon, F., Azzolina, N. A., Burton-Kelly, M., Morris, J. P. 2021; 112

    View details for DOI 10.1016/j.ijggc.2021.103488

    View details for Web of Science ID 000718545600005

  • A coupled thermo-hydro-mechanical model for simulating leakoff-dominated hydraulic fracturing with application to geologic carbon storage INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL Ju, X., Fu, P., Settegast, R., Morris, P. 2021; 109

    View details for DOI 10.1016/j.ijggc.2021.103379

    View details for Web of Science ID 000677919700002

  • Thermo-poroelastic responses of a pressure-driven fracture in a carbon storage reservoir and the implications for injectivity and caprock integrity INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS Fu, P., Ju, X., Huang, J., Settgast, R. R., Liu, F., Morris, J. P. 2021; 45 (6): 719-737

    View details for DOI 10.1002/nag.3165

    View details for Web of Science ID 000604890400001

  • An international code comparison study on coupled thermal, hydrologic and geomechanical processes of natural gas hydrate-bearing sediments MARINE AND PETROLEUM GEOLOGY White, M. D., Kneafsey, T. J., Seol, Y., Waite, W. F., Uchida, S., Lin, J. S., Myshakin, E. M., Gai, X., Gupta, S., Reagan, M. T., Queiruga, A. F., Kimoto, S., IGHCCS2 Participants 2020; 120

    View details for DOI 10.1016/j.marpetgeo.2020.104566

    View details for Web of Science ID 000569005500001

https://orcid.org/0000-0003-4110-7472