Concepedia

Honggeun Jo

HJ

11

Publications

485

Citations

10

H-Index

2016

Active since

Affiliations

The University of Texas at Austin(Current)

Seoul National University

Korea Institute of Geoscience and Mineral Resources

Bureau of Economic Analysis

Lawrence Livermore National Laboratory

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

ORCID

Top concepts

Publications per year

2016–2022

11

Publications

11

PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media

Javier E. Santos, Duo Xu, Honggeun Jo et al. · Advances in Water Resources · 2020 · 225 citations

, , +7

Geological model sampling using PCA-assisted support vector machine for reliable channel reservoir characterization

Hyungsik Jung, Honggeun Jo, Sungil Kim et al. · Journal of Petroleum Science and Engineering · 2018 · 40 citations

, , +10

Machine learning assisted history matching for a deepwater lobe system

Honggeun Jo, Wen Pan, Javier E. Santos et al. · Journal of Petroleum Science and Engineering · 2021 · 35 citations

, , +6

Recursive update of channel information for reliable history matching of channel reservoirs using EnKF with DCT

Hyungsik Jung, Honggeun Jo, Sungil Kim et al. · Journal of Petroleum Science and Engineering · 2017 · 33 citations

, , +8

Deep learning-accelerated 3D carbon storage reservoir pressure forecasting based on data assimilation using surface displacement from InSAR

Hewei Tang, Pengcheng Fu, Honggeun Jo et al. · International journal of greenhouse gas control · 2022 · 32 citations · Full text

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