Honggeun Jo
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Inha University, University of Texas at Austinas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-1184-0190
- OpenAlex ID
- A5046042599as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 11
Automatic Semivariogram Modeling by Convolutional Neural Network,
Characterization of Various Channel Fields Using an Initial Ensemble Selection Schemeand Covariance Localization,
Conditioning well data to rule-based lobe model by machine learning with a generative adversarial network,
Deep learning-accelerated 3D carbon storage reservoir pressure forecasting based on data assimilation using surface displacement from InSAR,
Geological model sampling using PCA-assisted support vector machine for reliable channel reservoir characterization,
History matching of channel reservoirs using ensemble Kalman filter with continuous update of channel information,
Machine learning assisted history matching for a deepwater lobe system,
Machine-learning-based porosity estimation from multifrequency poststack seismic data
+3 more
← Authored by 11
Automatic Semivariogram Modeling by Convolutional Neural Network,
Characterization of Various Channel Fields Using an Initial Ensemble Selection Schemeand Covariance Localization,
Conditioning well data to rule-based lobe model by machine learning with a generative adversarial network,
Deep learning-accelerated 3D carbon storage reservoir pressure forecasting based on data assimilation using surface displacement from InSAR,
Geological model sampling using PCA-assisted support vector machine for reliable channel reservoir characterization,
History matching of channel reservoirs using ensemble Kalman filter with continuous update of channel information,
Machine learning assisted history matching for a deepwater lobe system,
Machine-learning-based porosity estimation from multifrequency poststack seismic data
+3 more
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Summary
Honggeun Jo is a human[1].