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Honggeun Jo

Assistant Professor

Inha University

South Korea

Research Interests

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Professors in South Korea

Articles (13)

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2026

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2026

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2026

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2026

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2026

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2026

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2025

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2024

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2024

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2024

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2024

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2024

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2024

Collaborators (4)

Michael Pyrcz

Professor

University of Texas at Austin

UNITED STATES

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Hyundon Shin

Inha University

SOUTH KOREA

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Baehyun Min

Associate Professor

Ewha Womans University

SOUTH KOREA

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Suryeom Jo

Senior Researcher

Korea Institute of Geoscience and Mineral Resources

SOUTH KOREA

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Honggeun Jo

Research Interests

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Articles (13)

Integrated design and optimization for a unified carbon capture and storage system using a machine-learning-assisted multi-objective optimization framework

Multiscale Joint Deformation–BHP Data Assimilation for CO2 Storage Reservoir Characterization Using ES-MDA

Effect of Permeability on CO2 Storage and Injectivity in Low-Permeability Saline Aquifers

From a single geological interpretation to history matching: A SinGAN-ES-MDA framework for CO2 storage in channelized aquifers

Generative Artificial Intelligence-Based Carbon Capture and Storage Caprock Shale Digital Rock Data Augmentation

Sensitivity Analysis of Maximum Choke Pressure and Maximum Kick Volume under Drilling Operation Conditions

Deep learning-assisted THM-integrated InSAR modeling for CO2 storage characterization and surface deformation forecasting

Field-scale SAGD Performance Evaluation Utilizing Homogeneous Reservoir Model Based on Vertical Wells

Machine Learning-based 4-D Seismic Data Integration and Characterization of Channelized Anticline Aquifer for Geological Carbon Sequestration

Uncertainty Quantification Based on Deep-Learning Approach Integrating Time-Lapse Seismic Data for Geological Carbon Storage

Improved Injection Schedules of CO2 for Pohang Basin, Yeongil Bay, South Korea: Regarding Field Security and Injection Effectiveness

Application of latent variable evolution for channel reservoir characterization using generative adversarial networks and particle swarm optimization

Sequential binary classification of lithofacies from well-log data and their uncertainty quantification

Collaborators (4)

Michael Pyrcz

Hyundon Shin

Baehyun Min

Suryeom Jo

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