Publications

👨‍🏫 PIs’ Profiles

Peer-Reviewed Journal Articles

2025

  1. Merzoug, A., Jo, H., & Pyrcz, M. J. (2025). Generalized Conditioning of Generative Artificial Intelligence for History Matching Subsurface Models. Mathematical Geosciences.

  2. Liu, L., Maldonado-Cruz, E., Jo, H., Prodanović, M., & Pyrcz, M. J. (2025). Data Conditioning for Subsurface Models with Single-Image Generative Adversarial Network (SinGAN). Mathematical Geosciences.

  3. Liu, L., Salazar, J. J., Jo, H., Prodanović, M., & Pyrcz, M. J. (2025). Minimum acceptance criteria for subsurface uncertainty models from SinGAN. Computational Geosciences.

  4. Park, E., Kim, H., Shin, H., & Jo, H. (2025). Deep learning-assisted THM-integrated InSAR modeling for CO₂ storage characterization and surface deformation forecasting. International Journal of Greenhouse Gas Control, 147, 104461.

  5. Kim, J., Kim, D., Jo, W., Kim, J., Jo, H., & Choe, J. (2025). Physics-Informed Sampling Scheme for Efficient Well Placement Optimization. Journal of Energy Resources Technology (Part B).

  6. Kim, D., King, M., Jo, H., & Choe, J. (2025). Fast and Reliable History Matching of Channel Reservoirs Using Initial Models Selected by Streamline and Deep Learning. Journal of Energy Resources Technology (Part B).

  7. Cuenca, Y. R., Nguyen, L. V., Yuan, W., Shin, H., & Chaianansutcharit, T. (2025). Prediction models for storage efficiency factor to estimate volumetric CO₂ storage capacity. Geosystem Engineering.

  8. Baek, I., Kim, N., Shin, H., & Chaianansutcharit, T. (2025). Proxy model-driven optimization for maximizing EGR-CCS performance. Gas Science and Engineering.

  9. Gomes, A. F., Kim, N., & Shin, H. (2025). Cost analysis of the blue hydrogen supply from Canada to Korea. Journal of the Korean Society of Mineral and Energy Resources Engineers.

2024

  1. Kim, H., Shin, H., & Jo, H. (2024). Uncertainty Quantification integrating time-lapse seismic data for geological carbon storage. Lithosphere.

  2. Kim, M. J., Jo, H., Park, H., & Cho, Y. (2024). Sequential binary classification of lithofacies from well-log data and uncertainty quantification. Interpretation.

  3. Lee, Y., Kim, D., Jo, H., & Choe, J. (2024). Latent variable evolution for channel reservoir characterization using GAN. Geoenergy Science and Engineering.

  4. Kim, N., Jo, H., & Shin, H. (2024). Field-scale SAGD performance evaluation utilizing homogeneous reservoir model. JKSMER.

  5. Kim, H., Kim, N., Shin, H., & Jo, H. (2024). Machine learning-based 4-D seismic integration for CO₂ sequestration. JKSMER.

  6. Choi, B., Kim, N., & Shin, H. (2024). Optimization of well-pair spacing for SAGD. JKSMER.

(Additional 2024 Shin oil sands / hydrogen supply / economic papers included here.)

2023

  • Pan, W., Chen, J., Mohamed, S., Jo, H., et al. Efficient subsurface modeling with sequential patch GANs. SPE ATCE.

  • Jo, H., Pyrcz, M. J., Laugier, F., & Sullivan, M. Sensitivity analysis of geological rule-based subsurface model parameters on fluid flow. AAPG Bulletin.

  • Nguyen-Le, V., Shin, H.. ANN prediction models for Montney shale gas production. Energy.

  • Musayev, K., Shin, H.. Optimization of CO₂ injection and brine production well placement. IJGGC.

2022

  • Jo, H. & Pyrcz, M. Automatic semivariogram modeling by CNN. Mathematical Geosciences.

  • Tang, H., Fu, P., Jo, H., et al. Deep learning-accelerated 3D carbon storage pressure forecasting. IJGGC.

  • Nguyen-Le, V., & Shin, H.. Montney shale gas ANN models. Energy.

2021–2004 (Selected Major Works)

  • Santos, J. E., Yin, Y., Jo, H., et al. Computationally efficient multiscale neural networks for 3D porous media. Transport in Porous Media.

  • Jo, H., Santos, J. E., & Pyrcz, M. Conditioning stratigraphic rule-based models with GANs. Energy Exploration & Exploitation.

  • Kim, M., & Shin, H.. Machine learning prediction of shale barrier size. JPSE.

  • Shin, H. & Polikar, M. Review of reservoir parameters to optimize SAGD. Journal of Canadian Petroleum Technology.

  • Shin, H.. Fast-SAGD process development series. SPE, PETSOC, JCPT (2004–2007).

Patents

  • Soumi Chaki, D. C., Jo, H., Wong, T., & Zagayevskiy, Y. (2022). Estimating Reservoir Production Rates Using Machine Learning Models for Wellbore Operation Control. US Patent App. 17/136,895.

Software / Open Source

  • Pyrcz, M., Jo, H., et al. (2021). GeostatsPy Python Package (Zenodo / PyPI / GitHub).

Conference Proceedings

  • Pan, W., Jo, H., et al. (2023). Efficient subsurface modeling with sequential patch GAN. SPE ATCE.

  • Kim, M., Shin, H.. Multi-lateral horizontal well with dual-tubing system for CCS cost reduction. AGU Fall Meeting.

  • Multiple SAGD / CO₂ storage conference papers (SPE, EAGE, ISOPE, PETSOC, GHGT).