Honggeun Jo - Concepedia

Author

Honggeun Jo

The University of Texas at Austin ORCID

Also Known As

H. Jo, H.J. Jo, HC JO, Honggeun Jo, Hyeryeon Jo, Jo, Honggeun, Michael Ashby, Not Provided

Publications

594

Citations

H-Index

Concepts

All Affiliations

The University of Texas at Austin Seoul National University Korea Institute of Geoscience and Mineral Resources Bureau of Economic Analysis Lawrence Livermore National Laboratory

About

Honggeun Jo is an author at The University of Texas at Austin specializing in engineering, data science, and reservoir modeling.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	458
2	Civil Engineering	4	4	130
3	Computer Science	2	2	58
4	Biomedical Engineering	1	1	225
5	Cognitive Science	1	1	30

Honggeun Jo

Publications

485

Citations

H-Index

Page 1

	Year	Citations
PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media Javier E. Santos, Duo Xu, Honggeun Jo, Advances in Water Resources Pore StructureConvolutional Neural NetworkEngineeringMachine LearningFluid Mechanics	2020	225
Geological model sampling using PCA-assisted support vector machine for reliable channel reservoir characterization Hyungsik Jung, Honggeun Jo, Sungil Kim, Journal of Petroleum Science and Engineering EngineeringReservoir CharacterizationCivil EngineeringGeological ModelGeological Modeling	2018	40
Machine learning assisted history matching for a deepwater lobe system Honggeun Jo, Wen Pan, Javier E. Santos, Journal of Petroleum Science and Engineering Image AnalysisMachine LearningData ScienceEngineeringPattern Recognition	2021	35
Recursive update of channel information for reliable history matching of channel reservoirs using EnKF with DCT Hyungsik Jung, Honggeun Jo, Sungil Kim, Journal of Petroleum Science and Engineering EngineeringData ScienceCivil EngineeringChannel ReservoirsRecursive Update	2017	33
Deep learning-accelerated 3D carbon storage reservoir pressure forecasting based on data assimilation using surface displacement from InSAR Hewei Tang, Pengcheng Fu, Honggeun Jo, International journal of greenhouse gas control EngineeringMachine LearningGeological ModelingEarth ScienceDrilling	2022	32
Conditioning well data to rule-based lobe model by machine learning with a generative adversarial network Honggeun Jo, Javier E. Santos, Michael J. Pyrcz Energy Exploration & Exploitation Artificial IntelligenceGeometric LearningRule-based ReservoirEngineeringMachine Learning	2020	30
History matching of channel reservoirs using ensemble Kalman filter with continuous update of channel information Honggeun Jo, Hyungsik Jung, Jongchan Ahn, Energy Exploration & Exploitation EngineeringData AssimilationMean PermeabilityState EstimationEnkf Algorithm	2016	27
Automatic Semivariogram Modeling by Convolutional Neural Network Honggeun Jo, Michael J. Pyrcz Mathematical Geosciences Convolutional Neural NetworkEngineeringMachine LearningPattern RecognitionAutoencoders	2021	23
Machine-learning-based porosity estimation from multifrequency poststack seismic data Honggeun Jo, Yongchae Cho, Michael J. Pyrcz, Geophysics	2022	17
Characterization of Various Channel Fields Using an Initial Ensemble Selection Schemeand Covariance Localization Hyungsik Jung, Honggeun Jo, Kyungbook Lee, Journal of Energy Resources Technology EngineeringCovariance LocalizationLocalizationChannel CharacterizationData Assimilation	2017	13

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