! "A deep learning-accelerated data assimilation and forecasting workflow for commercial-scale geologic carbon storage"[1]

My contribution was developing the geologic model realizations by extending one of the models from Bosshart et al. (2018).[2]

As always, I can share on request.

[1] sciencedirect.com/science/arti

[2] sciencedirect.com/science/arti

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Another using the same dataset:

Lu D, Painter SL, Azzolina NA, Burton-Kelly M, Jiang T and Williamson C (2022) Accurate and Rapid Forecasts for Geologic Carbon Storage via Learning-Based Inversion-Free Prediction. Front. Energy Res. 9:752185. doi: 10.3389/fenrg.2021.752185

frontiersin.org/articles/10.33

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