| Prediction of shale-gas production at Duvernay formation using deep-learning algorithm K Lee, J Lim, D Yoon, H Jung SPE Journal 24 (06), 2423-2437, 2019 | 166 | 2019 |
| Generation of synthetic density log data using deep learning algorithm at the Golden field in Alberta, Canada S Kim, KH Kim, B Min, J Lim, K Lee Geofluids 2020 (1), 5387183, 2020 | 38 | 2020 |
| Feature extraction using a deep learning algorithm for uncertainty quantification of channelized reservoirs K Lee, J Lim, S Ahn, J Kim Journal of Petroleum Science and Engineering 171, 1007-1022, 2018 | 34 | 2018 |
| Regeneration of channelized reservoirs using history-matched facies-probability map without inverse scheme K Lee, J Lim, J Choe, HS Lee Journal of Petroleum Science and Engineering 149, 340-350, 2017 | 24 | 2017 |
| Development of ensemble smoother–neural network and its application to history matching of channelized reservoirs S Kim, K Lee, J Lim, H Jeong, B Min Journal of Petroleum Science and Engineering 191, 107159, 2020 | 19 | 2020 |
| Modeling and prediction of slug characteristics utilizing data-driven machine-learning methodology TW Kim, S Kim, JT Lim Journal of Petroleum Science and Engineering 195, 107712, 2020 | 18 | 2020 |
| Data-driven signal–noise classification for microseismic data using machine learning S Kim, B Yoon, JT Lim, M Kim Energies 14 (5), 1499, 2021 | 16 | 2021 |
| Evaluation of saturation changes during gas hydrate dissociation core experiment using deep learning with data augmentation S Kim, K Lee, M Lee, J Lee, T Ahn, JT Lim Journal of Petroleum Science and Engineering 209, 109820, 2022 | 15 | 2022 |
| Efficient calculation of flux conservative streamline trajectories on complex and unstructured grids LH Zuo, J Lim, RQ Chen, MJ King 78th EAGE Conference and Exhibition 2016 2016 (1), 1-5, 2016 | 15 | 2016 |
| Classification and application of digtal oil field system JT Lim, HW Park, JS Lim Journal of the Korean Society of Mineral and Energy Resources Engineers 51 …, 2014 | 12 | 2014 |
| Improved prediction of shale gas productivity in the Marcellus shale using geostatistically generated well-log data and ensemble machine learning S Kim, Y Hong, JT Lim, KH Kim Computers & Geosciences 181, 105452, 2023 | 10 | 2023 |
| Metric space mapping of oil sands reservoirs using streamline simulation J Jin, J Lim, H Lee, J Choe Geosystem Engineering 14 (3), 109-113, 2011 | 9 | 2011 |
| Productivity prediction in the Wolfcamp A and B using weighted voting ensemble machine learning method S Kim, HC Yoon, JT Lim, D Jeong, KH Kim Gas Science and Engineering 111, 204916, 2023 | 8 | 2023 |
| Features modeling of oil sands reservoirs in metric space J Lim, J Jin, J Choe Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 36 …, 2014 | 6 | 2014 |
| Development of data models and velocity interpolation methods for streamline trajectories on unstructured grids J Lim, L Zuo, MJ King 11th World Congress on Computational Mechanics (WCCM XI), 2014 | 6 | 2014 |
| Synergistic enhancement of productivity prediction using machine learning and integrated data from six shale basins of the USA S Kim, KH Kim, JT Lim Geoenergy Science and Engineering 229, 212068, 2023 | 5 | 2023 |
| Performance analysis of coloured BIPV systems depending on reliability of irradiance data S Jeong, J Jang, I Park, S keun Jo, J Lim, S Lee, H Lee, W Oh Microelectronics Reliability 138, 114704, 2022 | 5 | 2022 |
| Uncertainty analysis of oil sands reservoirs using features in metric space J Lim, J Jin, H Lee, J Choe Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 37 …, 2015 | 4 | 2015 |
| Spatiotemporal interpretation of three-phase saturation behaviors in gas hydrate formation and dissociation through deep learning modeling S Kim, K Lee, M Lee, J Lee, T Ahn, JT Lim Geoenergy Science and Engineering 221, 111219, 2023 | 3 | 2023 |
| Continuous streamline trajectories on complex grids L Zuo, J Lim, R Chen, H Chen, A Shamekhi, MJ King Computational Geosciences 25 (5), 1539-1563, 2021 | 3 | 2021 |
Kyungbook Lee(이경북)Kongju National UniversityVerified email at kongju.ac.kr
