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Honggeun Jo
Observed names:
H. Jo,
Jo, Honggeun
Institutions:
Inha University,
The University of Texas at Austin
Observed institutions:
Lawrence Livermore National Laboratory,
Seoul National University,
Colorado School of Mines,
Inha University,
BP (United States),
The University of Texas at Austin
show all 6
ORCID:
0000-0002-1184-0190
Observed ORCID:
0000-0002-1184-0190
OpenAlex ID:
A5046042599
PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media
2020
·
Javier E. Santos
, Duo Xu
, et al.
·
Advances in Water Resources
·
240
Geological model sampling using PCA-assisted support vector machine for reliable channel reservoir characterization
2018
·
Hyungsik Jung
, Honggeun Jo
, et al.
·
Journal of Petroleum Science and Engineering
·
42
Deep learning-accelerated 3D carbon storage reservoir pressure forecasting based on data assimilation using surface displacement from InSAR
2022
·
Hewei Tang
, Pengcheng Fu
, et al.
·
International journal of greenhouse gas control
·
38
Machine learning assisted history matching for a deepwater lobe system
2021
·
Honggeun Jo
, Wen Pan
, et al.
·
Journal of Petroleum Science and Engineering
·
37
Recursive update of channel information for reliable history matching of channel reservoirs using EnKF with DCT
2017
·
Hyungsik Jung
, Honggeun Jo
, et al.
·
Journal of Petroleum Science and Engineering
·
36
Conditioning well data to rule-based lobe model by machine learning with a generative adversarial network
2020
·
Honggeun Jo
, Javier E Santos
, et al.
·
Energy Exploration & Exploitation
·
32
Synthetic Sonic Log Generation With Machine Learning: A Contest Summary From Five Methods
2021
·
Shell International Exploration and Production
, Yanxiang Yu
, et al.
·
Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description
·
29
History matching of channel reservoirs using ensemble Kalman filter with continuous update of channel information
2016
·
Honggeun Jo
, Hyungsik Jung
, et al.
·
Energy Exploration & Exploitation
·
28
Automatic Semivariogram Modeling by Convolutional Neural Network
2021
·
Honggeun Jo
, Michael J. Pyrcz
·
Mathematical Geosciences
·
27
Machine-learning-based porosity estimation from multifrequency poststack seismic data
2022
·
Honggeun Jo
, Yongchae Cho
, et al.
·
Geophysics
·
19
Hierarchical machine learning workflow for conditional and multiscale deep-water reservoir modeling
2022
·
Wen Pan
, Honggeun Jo
, et al.
·
AAPG Bulletin
·
15
Characterization of Various Channel Fields Using an Initial Ensemble Selection Schemeand Covariance Localization
2017
·
Hyungsik Jung
, Honggeun Jo
, et al.
·
Journal of Energy Resources Technology
·
13
Minimum acceptance criteria for subsurface scenario-based uncertainty models from single image generative adversarial networks (SinGAN)
2025
·
Lei Liu
, Jose J. Salazar
, et al.
·
Computational Geosciences
·
12
PDF
Robust Rule-Based Aggradational Lobe Reservoir Models
2019
·
Honggeun Jo
, Michael J. Pyrcz
·
Natural Resources Research
·
10
Determining the Impact of Mineralogy Composition for Multiphase Flow Through Hydraulically Induced Fractures
2018
·
Javier E. Santos
, Maša Prodanović
, et al.
·
Unconventional Resources Technology Conference (URTeC)
·
10
Uncertainty Quantification Based on Deep-Learning Approach Integrating Time-Lapse Seismic Data for Geological Carbon Storage
2024
·
Hyunmin Kim
, Hyundon Shin
, et al.
·
Lithosphere
·
9
Efficient Subsurface Modeling with Sequential Patch Generative Adversarial Neural Networks
2023
·
W. Pan
, J. Chen
, et al.
·
SPE Annual Technical Conference and Exhibition
·
9
Use of Channel Information Update and Discrete Cosine Transform in Ensemble Smoother for Channel Reservoir Characterization
2019
·
Hyungsik Jung
, Honggeun Jo
, et al.
·
Journal of Energy Resources Technology
·
9
Conditioning Stratigraphic, Rule-Based Models with Generative Adversarial Networks: A Deepwater Lobe, Deep Learning Example
2019
·
Honggeun Jo
, Javier E. Santos
, et al.
·
AAPG Annual Convention and Exhibition (ACE)
·
8
Dynamic time warping for well injection and production history connectivity characterization
2022
·
Jose Luis Hernandez-Mejia
, Jesse Pisel
, et al.
·
Computational Geosciences
·
7
Data Conditioning for Subsurface Models with Single-Image Generative Adversarial Network (SinGAN)
2025
·
Lei Liu
, Eduardo Maldonado-Cruz
, et al.
·
Mathematical Geosciences
·
6
PDF
Deep learning-assisted THM-integrated InSAR modeling for CO2 storage characterization and surface deformation forecasting
2025
·
Eunsil Park
, Hyunmin Kim
, et al.
·
International journal of greenhouse gas control
·
5
Application of latent variable evolution for channel reservoir characterization using generative adversarial networks and particle swarm optimization
2024
·
Youjun Lee
, Doeon Kim
, et al.
·
Geoenergy Science and Engineering
·
5
Deep Learning-Accelerated 3d Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from Insar
2022
·
Hewei Tang
, Pengcheng Fu
, et al.
·
SSRN Electronic Journal
·
5
Improved Injection Schedules of CO2 for Pohang Basin, Yeongil Bay, South Korea: Regarding Field Security and Injection Effectiveness
2024
·
Dogyun Kim
, Doeon Kim
, et al.
·
Lithosphere
·
2
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Works count:
53
Citation count:
662
H-index:
12
I10-index:
15
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