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jaejun kim
jaejun kim
AI Advanced Research Lab., Technology Research, Samsung SDS
Verified email at samsung.com
Title
Cited by
Cited by
Year
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
322018
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
212018
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
192020
Multi-objective history matching with a proxy model for the characterization of production performances at the shale gas reservoir
J Kim, JM Kang, C Park, Y Park, J Park, S Lim
Energies 10 (4), 579, 2017
162017
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
82020
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
62021
Probabilistic estimation of shale gas reserves implementing Fast Marching Method and monte carlo simulation
J Kim, JM Kang, Y Park, S Lim, C Park, J Park
International Conference on Offshore Mechanics and Arctic Engineering 49996 …, 2016
42016
Integrated data assimilation and distance-based model selection with ensemble Kalman filter for characterization of uncertain geological scenarios
S Lim, C Park, J Kim, I Jang
Natural Resources Research 29 (2), 1063-1085, 2020
32020
Generative geomodeling based on flow responses in latent space
S Jo, S Ahn, C Park, J Kim
Journal of Petroleum Science and Engineering, 110177, 2022
22022
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
다목적 최적화 알고리듬을 이용한 SAGD 공법 운영조건 최적화
이재윤, 민배현, 조수렴, 김재준
한국자원공학회지 55 (5), 421-430, 2018
2018
거리기반 후보군 선정과 인공신경망을 결합한 가스생산량 히스토리매칭
김재준, 강주명, 박창협, 안성인, 민배현
한국자원공학회지 54 (4), 416-428, 2017
2017
Development of a Bottomhole Pressure Calculator and Its Application to Shale Gas Wells
J Kim, U Kim, JM Kang, H Suk, B Min
Journal of the Korean Society of Mineral and Energy Resources Engineers, 2015
2015
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