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Learning CO$_2$ plume migration in faulted reservoirs with Graph Neural Networks
Accurately capturing the impact of faults on CO$_2$ plume migration remains a challenge for many existing deep learning surrogate models based on Convolutional Neural Networks (CNNs) or Neural Operators.
Real-Time Well Log Prediction From Drilling Data Using Deep Learning
The objective is to study the feasibility of predicting subsurface rock properties in wells from real-time drilling data.
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