Peer-reviewed Conference

Peer-reviewed

  1. Choi, B., Kim, N., & Shin, H. (2024). Optimization of Well-Pair Spacing and Well Configuration for the SAGD Process in the Oilsands Reservoirs. Journal of the Korean Society of Mineral and Energy Resources Engineers, 61(3), 199-207.
  2. Kim, H., Kim, N., Shin, H., & Jo, H. (2024). Machine Learning-based 4-D Seismic Data Integration and Characterization of Channelized Anticline Aquifer for Geological Carbon Sequestration. Journal of the Korean Society of Mineral and Energy Resources Engineers, 61(1), 1-14.
  3. Kim, M. J., Jo, H., Park, H., & Cho, Y. (2024). Sequential binary classification of lithofacies from well log data and its uncertainty quantification. Interpretation, 12(4), 1-53.
  4. Kim, J., Kim, D., Jo, W., Kim, J., Jo, H., & Choe, J. (2024). Physics-Informed Sampling Scheme for Efficient Well Placement Optimization. Journal of Energy Resources Technology, 1-22.
  5. Lee, Y., Kim, D., Jo, H., & Choe, J. (2024). Application of Latent Variable Evolution for Channel Reservoir Characterization using Generative Adversarial Networks and Particle Swarm Optimization. Geoenergy Science and Engineering, 213016.
  6. Kim, D., King, M., Jo, H., & Choe, J. (2024). Fast and Reliable History Matching of Channel Reservoirs Using Initial Models Selected by Streamline and Deep Learning. Journal of Energy Resources Technology, 1-20.
  7. Hernandez-Mejia, J. L., Pisel, J., Jo, H., & Pyrcz, M. J. (2023). Dynamic time warping for well injection and production history connectivity characterization. Computational Geosciences, 27(1), 159-178.
  8. Musayev, K., Shin, H., & Nguyen-Le, V. (2023). Optimization of CO2 injection and brine production well placement using a genetic algorithm and artificial neural network-based proxy model. International Journal of Greenhouse Gas Control, 127, 103915.
  9. Kim, N., Shin, H., & Lee, K. (2023). Feature engineering process on well log data for machine learning-based SAGD performance prediction. Geoenergy Science and Engineering, 212057.
  10. Kim, M., Kwon, S., Ji, M., Shin, H., & Min, B. (2023). Multi-lateral horizontal well with dual-tubing system to improve CO2 storage security and reduce CCS cost. Applied Energy, 330, 120368.
  11. Nguyen-Le, V., & Shin, H. (2022). Artificial neural network prediction models for Montney shale gas production profile based on reservoir and fracture network parameters. Energy, 244, 123150.
  12. Shin, H., Nguyen-Le, V., Kim, M., Shin, H., & Little, E. (2021). Development of Production-Forecasting Model Based on the Characteristics of Production Decline Analysis Using the Reservoir and Hydraulic Fracture Parameters in Montney Shale Gas Reservoir, Canada. Geofluids, 2021, 1-12.
  13. Song, G., Lee, H. S., & Shin, H. (2021). Three-dimensional modelling of desorbed gas volume and comparison to gas production rate in the Montney Plays, Western Canadian Sedimentary Basin. Geofluids, 2021, 1-15.
  14. Nguyen-Le, V., Kim, M., Shin, H., & Little, E. (2021). Multivariate approach to the gas production forecast using early production data for Barnett shale reservoir. Journal of Natural Gas Science and Engineering, 87, 103776.
  15. Kim, M., & Shin, H. (2020). Numerical simulation of undulating shale breaking with steam-assisted gravity drainage (UB-SAGD) for the oil sands reservoir with a shale barrier. Journal of Petroleum Science and Engineering, 195, 107604.
  16. Kim, M., & Shin, H. (2020). Machine learning-based prediction of the shale barrier size and spatial location using key features of SAGD production curves. Journal of Petroleum Science and Engineering, 191, 107205.
  17. Nguyen-Le, V., Shin, H., & Little, E. (2020). Development of shale gas prediction models for long-term production and economics based on early production data in Barnett reservoir. Energies, 13(2), 424.
  18. Kim, M., & Shin, H. (2019). Application of a dual tubing CO2 injection-water production horizontal well pattern for improving the CO2 storage capacity and reducing the CAPEX: A case study in Pohang basin, Korea. International Journal of Greenhouse Gas Control, 90, 102813.
  19. Kim, G., Lee, H., Chen, Z., Athichanagorn, S., & Shin, H. (2019). Effect of reservoir characteristics on the productivity and production forecasting of the Montney shale gas in Canada. Journal of Petroleum Science and Engineering, 182, 106276.
  20. Jun, C., Kim, M., & Shin, H. (2019). Optimization of well placement and operating conditions for various well patterns in CO2 sequestration in the Pohang Basin, Korea. International Journal of Greenhouse Gas Control, 90, 102810.
  21. Nguyen-Le, V., & Shin, H. (2019). Development of reservoir economic indicator for Barnett Shale gas potential evaluation based on the reservoir and hydraulic fracturing parameters. 8Journal of Natural Gas Science and Engineering*, 66, 159-167.
  22. Kim, M., & Shin, H. (2018). Development and application of proxy models for predicting the shale barrier size using reservoir parameters and SAGD production data. Journal of Petroleum Science and Engineering, 170, 331-344.
  23. NamHoon, K., HyungSik, J., GvanDek, K., Hoonyoung, J., Hyundon, S., YiKyun, K., & Jonggeun, C. (2018). The stability assessment of an aquifer in Pohang Yeongil bay due to CO2 injection. The Journal of Engineering Geology, 28(2), 183-192.
  24. Kim, K. H., Lee, K., Lee, H. S., Rhee, C. W., & Shin, H. D. (2018). Lithofacies modeling by multipoint statistics and economic evaluation by NPV volume for the early Cretaceous Wabiskaw Member in Athabasca oilsands area, Canada. Geoscience Frontiers, 9(2), 441-451.
  25. Lee, H., Jin, J., Shin, H., & Choe, J. (2015). Efficient prediction of SAGD productions using static factor clustering. Journal of Energy Resources Technology, 137(3), 032907.
  26. Lee, K., Jung, S., Shin, H., & Choe, J. (2014). Uncertainty quantification of channelized reservoir using ensemble smoother with selective measurement data. Energy Exploration & Exploitation, 32(5), 805-816.

Conference

  1. Pan, W., Chen, J., Mohamed, S., Jo, H., Santos, J. E., & Pyrcz, M. J. (2023, October). Efficient subsurface modeling with sequential patch generative adversarial neural networks. In SPE Annual Technical Conference and Exhibition? (p. D021S028R002). SPE.
  2. Kim, M., MIN, B., & Shin, H. (2021, December). Multi-lateral horizontal well with dual-tubing system for reducing the CCS cost and improving CO2 storage security. In AGU Fall Meeting Abstracts (Vol. 2021, pp. GC15A-0658).
  3. Kim, M., & Shin, H. (2018, October). Application of a dual tubing CO2 injection-water production system using a horizontal well for improving CO2 storage capacity: A case study in Pohang basin, offshore South Korea. In 14th Greenhouse Gas Control Technologies Conference Melbourne (pp. 21-26).
  4. Kim, G. D., Choi, J., Lee, K., Shin, H., & Choe, J. (2018, June). Reservoir Characterization Using Ensemble Smoother With Selected Measurement Data for Each Well. In ISOPE International Ocean and Polar Engineering Conference (pp. ISOPE-I). ISOPE.
  5. Kim, M., & Shin, H. (2017, October). Development and field application of proxy models for predicting the shale barrier size using SAGD production DATA. In SPE Asia Pacific Oil and Gas Conference and Exhibition (p. D012S036R005). SPE..
  6. Kim, K., Ju, S., Ahn, J., Shin, H., Shin, C., & Choe, J. (2015, June). Determination of key parameters and hydraulic fracture design for shale gas productions. In ISOPE International Ocean and Polar Engineering Conference (pp. ISOPE-I). ISOPE.
  7. Lee, K., Kim, S., Jung, S., Shin, H., & Choe, J. (2014, June). Channelized Reservoirs characterization using ensemble smoother with selective measurement data. In 76th EAGE Conference and Exhibition 2014 (Vol. 2014, No. 1, pp. 1-5). European Association of Geoscientists & Engineers.
  8. Hwang, T., Shin, H., & Chon, B. (2013). Optimal Grid System Design for the SAGD Process Simulation. Journal of the Korean Society of Mineral and Energy Resources Engineers, 50(5), 667-677.