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Seongin Ahn
Seongin Ahn
Korea Institute Geoscience and Mineral Resources
Verified email at kigam.re.kr
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
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
102021
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
102020
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
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
22022
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
22017
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
12021
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
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