Seongin Ahn

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.

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

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

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

Kyungbook Lee, Jaejun Kim, Changhyup Park, 2020 .

A Machine Learning-Based Approach for Spatial Estimation Using the Spatial Features of Coordinate Information

Sangho Lee, Dong-Woo Ryu, Seongin Ahn, 2020, ISPRS Int. J. Geo Inf..

Numerical approach on production optimization of high water-cut well via advanced completion management using flow control valves

Kyungbook Lee, D. Jeong, J. Choe, 2023, Journal of Petroleum Exploration and Production Technology.

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.

Generative geomodeling based on flow responses in latent space

Changhyup Park, Jaejun Kim, Seongin Ahn, 2022, Journal of Petroleum Science and Engineering.