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| Department |
Energy Resource Engineering |
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| E-Mail |
honggeun.jo@inha.ac.kr |
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| Grade |
Assistant Professor |
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| Laboratory |
Subsurface Analysis Lab |
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| School |
2014.08
Seoul National University(Bachelor's Degree)/에너지자원공학
2016.08
Seoul National University(Master's Degree)/에너지시스템공학
2021.08
The University of Texas at Austin(Doctor's Degree)/Petroleum and Geosystems Eng.
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| Career |
2016.09~2016.12
한국가스공사/인턴
2016.12~2017.07
한국가스공사/팀원
2017.08~2021.07
한국가스공사/팀원
2019.05~2019.08
Halliburton/Reservoir Engineer(인턴)
2019.05~2019.08
Halliburton Landmark/Intern
2020.06~2020.08
BP AMERICA INC/Intern
2020.06~2020.08
British Petroleum/Reservoir Engineer(인턴)
2021.05~2021.08
Lawrence Livermore National Laboratory/Research Student
2021.10~2023.02
BP AMERICA INC/Subsurface technology assistant
2021.10~2023.02
British Petroleum/
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| Degree thesis |
| Major scientific thesis |
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- Sensitivity analysis of geological rule-based subsurface model parameters on fluid flow, AAPG BULLETIN, Vol.107 No.6, 887~906, 2023.
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- Dynamic time warping for well injection and production history connectivity characterization, COMPUTATIONAL GEOSCIENCES, Vol.27 No.1, 159~178, 2023.
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- Hierarchical machine learning workflow for conditional and multiscale deep-water reservoir modeling, AAPG BULLETIN, , , 2022.
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- Machine-learning-based porosity estimation from multifrequency poststack seismic data, GEOPHYSICS, Vol.87 No.5, M217~M233, 2022.
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- Deep learning-accelerated 3D carbon storage reservoir pressure forecasting based on data assimilation using surface displacement from InSAR, INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, Vol.120, , 2022.
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- Machine learning assisted history matching for a deepwater lobe system, JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, Vol.207, , 2021.
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- Synthetic sonic log generation with machine learning: A contest summary from five methods, PETROPHYSICS, , , 2021.
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- Automatic Semivariogram Modeling by Convolutional Neural Network, MATHEMATICAL GEOSCIENCES, Vol.54 No.1, 177~205, 2021.
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- Computationally Efficient Multiscale Neural Networks Applied to Fluid Flow in Complex 3D Porous Media, TRANSPORT IN POROUS MEDIA, Vol.140 No.1, 241~272, 2021.
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- PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media, ADVANCES IN WATER RESOURCES, Vol.138, , 2020.
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- Conditioning well data to rule-based lobe model by machine learning with a generative adversarial network, ENERGY EXPLORATION & EXPLOITATION, Vol.38 No.6, 2558~2578, 2020.
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- Use of Channel Information Update and Discrete Cosine Transform in Ensemble Smoother for Channel Reservoir Characterization, JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, Vol.142 No.1, , 2020.
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- Robust Rule-Based Aggradational Lobe Reservoir Models, , Vol.29 No.2, 1193~1213, 2020.
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- Geological model sampling using PCA-assisted support vector machine for reliable channel reservoir characterization, JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, Vol.167, 396~405, 2018.
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- Characterization of Various Channel Fields Using an Initial Ensemble Selection Scheme and Covariance Localization, JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, Vol.139 No.6, , 2017.
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- History matching of channel reservoirs using ensemble Kalman filter with continuous update of channel information, ENERGY EXPLORATION & EXPLOITATION, Vol.35 No.1, 3~23, 2017.
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- Recursive update of channel information for reliable history matching of channel reservoirs using EnKF with DCT, JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, Vol.154, 19~37, 2017.
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