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Leebyn Chong

Government of the United States of America - National Energy Technology Laboratory (NETL)

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Enhancing Fluid Flow Pressure and Saturation Prediction Accuracy and Reducing Uncertainty with Committee Machine -Illinois Basin Decatur Project (IBDP) as a Case Study

Proceedings of the 17th Greenhouse Gas Control Technologies Conference (GHGT-17) 20-24 October 2024
Number of pages: 8 Posted: 13 Jan 2025
Alex Sun, Chung-Yan Shih, Leebyn Chong, Guoxiang Liu and Hema Siriwardane
Government of the United States of America - National Energy Technology Laboratory (NETL), Government of the United States of America - National Energy Technology Laboratory (NETL), Government of the United States of America - National Energy Technology Laboratory (NETL), Government of the United States of America - National Energy Technology Laboratory (NETL) and Government of the United States of America - National Energy Technology Laboratory (NETL)
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Committee machine, deep ensemble learning, neural operators, latent spectral model, high-dimensionality, latent-space solution