Seongin Ahn

Deep neural network coupled with distance-based model selection for efficient history matching

Kyungbook Lee, Jaejun Kim, Changhyup Park, 2020 .

Data-driven inverse modeling with a pre-trained neural network at heterogeneous channel reservoirs

Joe M. Kang, Jaejun Kim, Changhyup Park, 2018, Journal of Petroleum Science and Engineering.

Feature extraction using a deep learning algorithm for uncertainty quantification of channelized reservoirs

Kyungbook Lee, Jaejun Kim, Jungtek Lim, 2018, Journal of Petroleum Science and Engineering.

History Matching of Gas Production Rates Integrated an Artificial Neural Network with Distance-based Candidate Selection

Baehyun Min, Joe M. Kang, Jaejun Kim, 2017 .

Adaptive Surrogate Estimation with Spatial Features Using a Deep Convolutional Autoencoder for CO2 Geological Sequestration

Dong-Woo Ryu, Changhyup Park, Seongin Ahn, 2021 .

Iterative learning-based many-objective history matching using deep neural network with stacked autoencoder

Jaejun Kim, Hyungsik Jung, Changhyup Park, 2021, Petroleum Science.