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Showing results 1 to 8 of 8

Issue Date	Title / Author(s) / Citation	File	Altmetrics
2018	Integration of an iterative update of sparse geologic dictionaries with ES-MDA for history matching of channelized reservoirs Kim, Sungil; Min, Baehyun; Lee, Kyungbook; Jeong, Hoonyoung Geofluids, p. 1532868	DOI
2018-04	Fast evaluation of well placements in heterogeneous reservoir models using machine learning Nwachukwu, Azor; Jeong, Hoonyoung; Pyrcz, Michael; Lake, Larry W. Journal of Petroleum Science and Engineering, Vol.163, pp.463-475	DOI
2018-04	Cost-optimal design of pressure-based monitoring networks for carbon sequestration projects, with consideration of geological uncertainty Jeong, Hoonyoung; Sun, Alexander Y.; Zhang, Xiaodong International Journal of Greenhouse Gas Control, Vol.71, pp.278-292	DOI
2018-04	Metamodeling-based approach for risk assessment and cost estimation: Application to geological carbon sequestration planning Sun, Alexander Y.; Jeong, Hoonyoung; Gonzalez-Nicolas, Ana; Templeton, Thomas C. Computers and Geosciences, Vol.113, pp.70-80	DOI
2018-08	A learning-based data-driven forecast approach for predicting future reservoir performance Jeong, Hoonyoung; Sun, Alexander Y.; Lee, Jonghyun; Min, Baehyun Advances in Water Resources, Vol.118, pp.95-109	DOI
2019-09	Characterization of three-dimensional channel reservoirs using ensemble Kalman filter assisted by principal component analysis Kang, Byeongcheol; Jung, Hyungsik; Jeong, Hoonyoung; Choe, Jonggeun Petroleum Science, pp. 1-14	view file DOI
2019-12	Field development optimization using a cooperative micro-particle swarm optimization with parameter integration schemes Kim, Joonyi; Kang, Byeongcheol; Jeong, Hoonyoung; Choe, Jonggeun Journal of Petroleum Science and Engineering, Vol.183, p. 106416	DOI
2022-10	Prediction of maximum slug length considering impact of well trajectories in British Columbia shale gas fields using machine learning Kim, Sungil; Yun, Youngwoo; Choi, Jiyoung; Bizhani, Majid; Kim, Tea-woo; Jeong, Hoonyoung Journal of Natural Gas Science and Engineering, Vol.106, p. 104725	DOI

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