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Hoonyoung Jeong
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Predicting CO2 Plume Migration in Heterogeneous Formations Using Conditional Deep Convolutional Generative Adversarial Network
Z Zhong, AY Sun, H Jeong
Water Resources Research 55 (7), 5830-5851, 2019
1382019
Fast evaluation of well placements in heterogeneous reservoir models using machine learning
A Nwachukwu, H Jeong, M Pyrcz, LW Lake
Journal of Petroleum Science and Engineering 163, 463-475, 2018
1262018
Machine learning-based optimization of well locations and WAG parameters under geologic uncertainty
A Nwachukwu, H Jeong, A Sun, M Pyrcz, LW Lake
SPE Improved Oil Recovery Conference?, D031S008R005, 2018
582018
A learning-based data-driven forecast approach for predicting future reservoir performance
H Jeong, AY Sun, J Lee, B Min
Advances in water resources 118, 95-109, 2018
572018
Improvement of ensemble smoother with clustered covariance for channelized reservoirs
K Lee, H Jeong, SP Jung, J Choe
Energy Exploration & Exploitation 31 (5), 713-726, 2013
452013
Building complex event processing capability for intelligent environmental monitoring
AY Sun, Z Zhong, H Jeong, Q Yang
Environmental modelling & software 116, 1-6, 2019
422019
Characterization of channelized reservoir using ensemble Kalman filter with clustered covariance
K Lee, H Jeong, SP Jung, J Choe
Energy Exploration & Exploitation 31 (1), 17-29, 2013
392013
Reservoir characterization using an EnKF and a non-parametric approach for highly non-Gaussian permeability fields
Y Shin, H Jeong, J Choe
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 32 …, 2010
332010
Reservoir characterization from insufficient static data using gradual deformation method with ensemble Kalman filter
H Jeong, S Ki, J Choe
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 32 …, 2010
252010
Metamodeling-based approach for risk assessment and cost estimation: Application to geological carbon sequestration planning
AY Sun, H Jeong, A González-Nicolás, TC Templeton
Computers & geosciences 113, 70-80, 2018
242018
Cost-optimal design of pressure-based monitoring networks for carbon sequestration projects, with consideration of geological uncertainty
H Jeong, AY Sun, X Zhang
International Journal of Greenhouse Gas Control 71, 278-292, 2018
232018
Characterization of three-dimensional channel reservoirs using ensemble Kalman filter assisted by principal component analysis
B Kang, H Jung, H Jeong, J Choe
Petroleum Science 17 (1), 182-195, 2020
222020
Fast assessment of CO2 plume characteristics using a connectivity based proxy
H Jeong, S Srinivasan
International Journal of Greenhouse Gas Control 49, 387-412, 2016
222016
Efficient deep-learning-based history matching for fluvial channel reservoirs
S Jo, H Jeong, B Min, C Park, Y Kim, S Kwon, A Sun
Journal of Petroleum Science and Engineering 208, 109247, 2022
192022
Integration of an iterative update of sparse geologic dictionaries with ES-MDA for history matching of channelized reservoirs
S Kim, B Min, K Lee, H Jeong
Geofluids 2018, 2018
182018
Influence of injection strategies on local capillary trapping during geological carbon sequestration in saline aquifers
B Ren, H Jeong
Journal of CO2 Utilization 27, 441-449, 2018
172018
Uncertainty Quantification of CO2 Plume Migration Using Static Connectivity of Geologic Features
H Jeong, S Srinivasan, S Bryant
Energy Procedia 37, 3771-3779, 2013
172013
Utilization of multiobjective optimization for pulse testing dataset from a CO2-EOR/sequestration field
B Min, AY Sun, MF Wheeler, H Jeong
Journal of Petroleum Science and Engineering 170, 244-266, 2018
142018
Development of ensemble smoother–neural network and its application to history matching of channelized reservoirs
S Kim, K Lee, J Lim, H Jeong, B Min
Journal of Petroleum Science and Engineering 191, 107159, 2020
132020
Hydrocarbon production dynamics forecasting using machine learning: A state-of-the-art review
B Liang, J Liu, J You, J Jia, Y Pan, H Jeong
Fuel 337, 127067, 2023
122023
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Articles 1–20