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 | 32 | 2018 |
Data-driven inverse modeling with a pre-trained neural network at heterogeneous channel reservoirs S Ahn, C Park, J Kim, JM Kang Journal of Petroleum Science and Engineering 170, 785-796, 2018 | 21 | 2018 |
A machine learning-based approach for spatial estimation using the spatial features of coordinate information S Ahn, DW Ryu, S Lee ISPRS international journal of geo-information 9 (10), 587, 2020 | 11 | 2020 |
Adaptive Surrogate Estimation with Spatial Features Using a Deep Convolutional Autoencoder for CO2 Geological Sequestration S Jo, C Park, DW Ryu, S Ahn Energies 14 (2), 413, 2021 | 10 | 2021 |
Deep neural network coupled with distance-based model selection for efficient history matching J Kim, C Park, K Lee, S Ahn, I Jang Journal of Petroleum Science and Engineering 185, 106658, 2020 | 8 | 2020 |
Iterative learning-based many-objective history matching using deep neural network with stacked autoencoder J Kim, C Park, S Ahn, B Kang, H Jung, I Jang Petroleum Science 18 (5), 1465-1482, 2021 | 6 | 2021 |
Generative geomodeling based on flow responses in latent space S Jo, S Ahn, C Park, J Kim Journal of Petroleum Science and Engineering 211, 110177, 2022 | 2 | 2022 |
History matching of gas production rates integrated an artificial neural network with distance-based candidate selection J Kim, JM Kang, C Park, S Ahn, B Min Journal of The Korean Society of Mineral and Energy Resources Engineers 54 …, 2017 | 2 | 2017 |
Adaptive Surrogate Estimation with Spatial Features Using a Deep Convolutional Autoencoder for CO2 Geological Sequestration. Energies 2021, 14, 413 S Jo, C Park, DW Ryu, S Ahn s Note: MDPI stays neu-tral with regard to jurisdictional clai-ms in …, 2021 | 1 | 2021 |
A Study on the Development of Model for Estimating the Thickness of Clay Layer of Soft Ground in the Nakdong River Estuary S Ahn, DW Ryu Tunnel and Underground Space 32 (6), 586-597, 2022 | | 2022 |
Inverse Modeling with Deep Neural Network and K-medoids Clustering Under Uncertain Geological Scenarios J Kim, C Park, S Ahn, I Jang Petroleum Geostatistics 2019 2019 (1), 1-5, 2019 | | 2019 |
거리기반 후보군 선정과 인공신경망을 결합한 가스생산량 히스토리매칭 김재준, 강주명, 박창협, 안성인, 민배현 한국자원공학회지 54 (4), 416-428, 2017 | | 2017 |