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Byeongcheol Kang
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Journal Articles

Model Regeneration Scheme Using a Deep Learning Algorithm for Reliable Uncertainty Quantification of Channel Reservoirs

Youjun Lee, Byeongcheol Kang, Joonyi Kim, Jonggeun Choe
Journal: Journal of Energy Resources Technology
Article Type: Research Papers
J. Energy Resour. Technol. September 2022, 144(9): 093004.
Paper No: JERT-21-1638
DOI: https://doi.org/10.1115/1.4053344
Published Online: February 16, 2022
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Journal Articles

Use of Channel Information Update and Discrete Cosine Transform in Ensemble Smoother for Channel Reservoir Characterization

Hyungsik Jung, Honggeun Jo, Sungil Kim, Byeongcheol Kang, Hoonyoung Jeong, Jonggeun Choe
Journal: Journal of Energy Resources Technology
Article Type: Research-Article
J. Energy Resour. Technol. January 2020, 142(1): 012901.
Paper No: JERT-17-1368
DOI: https://doi.org/10.1115/1.4043856
Published Online: July 12, 2019
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Topics: Reservoirs, Permeability
Journal Articles

Regeneration of Initial Ensembles With Facies Analysis for Efficient History Matching

Byeongcheol Kang, Jonggeun Choe
Journal: Journal of Energy Resources Technology
Article Type: Research-Article
J. Energy Resour. Technol. July 2017, 139(4): 042903.
Paper No: JERT-16-1463
DOI: https://doi.org/10.1115/1.4036382
Published Online: April 17, 2017
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Topics: Reservoirs
Journal Articles

Ensemble Kalman Filter With Principal Component Analysis Assisted Sampling for Channelized Reservoir Characterization

Byeongcheol Kang, Hyungjun Yang, Kyungbook Lee, Jonggeun Choe
Journal: Journal of Energy Resources Technology
Article Type: Research-Article
J. Energy Resour. Technol. May 2017, 139(3): 032907.
Paper No: JERT-16-1218
DOI: https://doi.org/10.1115/1.4035747
Published Online: February 6, 2017
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Topics: Reservoirs, Kalman filters, Principal component analysis