| Determination of an infill well placement using a data-driven multi-modal convolutional neural network M Chu, B Min, S Kwon, G Park, S Kim, NX Huy Journal of Petroleum Science and Engineering 195, 106805, 2020 | 44 | 2020 |
| Recursive update of channel information for reliable history matching of channel reservoirs using EnKF with DCT H Jung, H Jo, S Kim, K Lee, J Choe Journal of Petroleum Science and Engineering 154, 19-37, 2017 | 41 | 2017 |
| Geological model sampling using PCA-assisted support vector machine for reliable channel reservoir characterization H Jung, H Jo, S Kim, K Lee, J Choe Journal of Petroleum Science and Engineering 167, 396-405, 2018 | 40 | 2018 |
| 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 | 34 | 2020 |
| Characterization of channelized gas reservoirs using ensemble Kalman filter with application of discrete cosine transformation S Kim, C Lee, K Lee, J Choe Energy Exploration & Exploitation 34 (2), 319-336, 2016 | 27 | 2016 |
| Initial ensemble design scheme for effective characterization of three-dimensional channel gas reservoirs with an aquifer S Kim, H Jung, K Lee, J Choe Journal of Energy Resources Technology 139 (2), 022911, 2017 | 22 | 2017 |
| Efficient assessment of reservoir uncertainty using distance-based clustering: a review B Kang, S Kim, H Jung, J Choe, K Lee Energies 12 (10), 1859, 2019 | 21 | 2019 |
| History matching of a channelized reservoir using a serial denoising autoencoder integrated with ES‐MDA S Kim, B Min, S Kwon, M Chu Geofluids 2019 (1), 3280961, 2019 | 21 | 2019 |
| Data-driven estimation of three-phase saturation during gas hydrate depressurization using CT images S Kim, M Lee, K Lee, T Ahn, J Lee Journal of Petroleum Science and Engineering 205, 108916, 2021 | 20 | 2021 |
| Construction of prior models for ES-MDA by a deep neural network with a stacked autoencoder for predicting reservoir production J Kim, S Kim, C Park, K Lee Journal of Petroleum Science and Engineering 187, 106800, 2020 | 20 | 2020 |
| Integration of an Iterative Update of Sparse Geologic Dictionaries with ES‐MDA for History Matching of Channelized Reservoirs S Kim, B Min, K Lee, H Jeong Geofluids 2018 (1), 1532868, 2018 | 19 | 2018 |
| Iterative static modeling of channelized reservoirs using history-matched facies probability data and rejection of training image K Lee, S Kim, J Choe, B Min, HS Lee Petroleum Science 16, 127-147, 2019 | 18 | 2019 |
| 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 | 16 | 2020 |
| Aquifer characterization of gas reservoirs using ensemble Kalman filter and covariance localization S Kim, C Lee, K Lee, J Choe Journal of Petroleum Science and Engineering 146, 446-456, 2016 | 16 | 2016 |
| Data-driven three-phase saturation identification from X-ray CT images with critical gas hydrate saturation S Kim, K Lee, M Lee, T Ahn Energies 13 (21), 5844, 2020 | 15 | 2020 |
| Saturation modeling of gas hydrate using machine learning with X-ray CT images S Kim, K Lee, M Lee, T Ahn, J Lee, H Suk, F Ning Energies 13 (19), 5032, 2020 | 15 | 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 | 14 | 2020 |
| Characterization of channel oil reservoirs with an aquifer using EnKF, DCT, and PFR S Kim, C Lee, K Lee, J Choe Energy Exploration & Exploitation 34 (6), 828-843, 2016 | 14 | 2016 |
| Data-driven signal–noise classification for microseismic data using machine learning S Kim, B Yoon, JT Lim, M Kim Energies 14 (5), 1499, 2021 | 13 | 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 | 11 | 2022 |
Kyungbook Lee(이경북)Kongju National UniversityVerified email at kongju.ac.kr
