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Hongkyu Yoon

Sandia National Laboratories

NM

USA

  • Sandia National Laboratories

SCHOLARLY PAPERS

4

DOWNLOADS

425

TOTAL CITATIONS

4

Scholarly Papers (4)

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1.

Deep Learning-Based Data Assimilation in the Latent Space for Real-Time Forecasting of Geologic Carbon Storage

Proceedings of the 16th Greenhouse Gas Control Technologies Conference (GHGT-16) 23-24 Oct 2022
Number of pages: 10 Posted: 07 Dec 2022 Last Revised: 09 Dec 2022
Hongkyu Yoon, Jonghyun Lee and Teeratorn Kadeethum
Sandia National Laboratories, University of Hawaii at Manoa and Sandia National Laboratories, Albuquerque
Downloads 199 (382,358)

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Deep learning, Geologic carbon storage, Data assimilation, Convolutional Neural network, Variational AutoEncoder, Latent space

2.

SMART – a Comprehensive Research and Development Program to Demonstrate Application of Machine Learning for Supporting CCS Deployment

Proceedings of the 17th Greenhouse Gas Control Technologies Conference (GHGT-17) 20-24 October 2024
Number of pages: 15 Posted: 17 Dec 2024
Hema Siriwardane, Srikanta Mishra, Mark McKoy, Traci Rodosta, Gilly Rosen, Hari Viswanathan, Seyyed Hosseini, David Alumbaugh, Joseph Morris, Joshua A. White and Hongkyu Yoon
Government of the United States of America - National Energy Technology Laboratory (NETL), Texas A&M University (TAMU), Central Texas, Government of the United States of America - National Energy Technology Laboratory (NETL), US Department of Energy Office of Fossil Energy and Carbon Management, US Department of Energy Office of Fossil Energy and Carbon Management, Government of the United States of America - Los Alamos National Laboratory, University of Texas at Austin - Gulf Coast Carbon Center, Lawrence Berkeley National Lab, Lawrence Livermore National Laboratory, Lawrence Livermore National Laboratory and Sandia National Laboratories
Downloads 100 (689,572)

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machine learning; CO2 storage; reservoir management; reservoir optimization; real-time visualization

3.

Global-Local Graph Neural Operator for Real-Time Analysis of Large-Scale CO2 Storage

Proceedings of the 17th Greenhouse Gas Control Technologies Conference (GHGT-17) 20-24 October 2024
Number of pages: 7 Posted: 25 Nov 2024
Teeratorn Kadeethum, Birendra Jha, Stephen J. Verzi, John Jakeman and Hongkyu Yoon
Sandia National Laboratories, Albuquerque, University of Southern California, Sandia National Laboratories, Sandia National Laboratories, Albuquerque and Sandia National Laboratories
Downloads 94 (725,554)

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CO2 storage, reduced order modeling, neural operator, graph neural networks, machine learning

4.

An Improved Neural Operator Framework for Large-Scale Co2 Storage Operations

Number of pages: 39 Posted: 22 Mar 2024
Teeratorn Kadeethum, Stephen J. Verzi and Hongkyu Yoon
Sandia National Laboratories, Albuquerque, Sandia National Laboratories and Sandia National Laboratories
Downloads 32 (1,304,549)
Citation 4

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neural operator, data-driven, reduced order modeling, carbon storage, big data, climate change