History Matching for Geological Carbon Storage Using Data-Space Inversion with Spatio-Temporal Data Parameterization
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Elsevier BV
Reference48 articles.
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1. A deep learning-based workflow for fast prediction of 3D state variables in geological carbon storage: A dimension reduction approach;Journal of Hydrology;2024-06
2. Assimilation of Geophysics-Derived Spatial Data for Model Calibration in Geologic CO2 Sequestration;SPE Journal;2024-04-10
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