Presents sequential physics-constrained neural operator models for the Norne reservoir with theoretical stability guarantees and empirical accuracy exceeding 0.99 R² for oil production predictions alongside a 10,000x computational speedup.
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Sequential Physics-Constrained Neural Operator Forward Modeling for the $\textit{Norne}$ Reservoir System
Presents sequential physics-constrained neural operator models for the Norne reservoir with theoretical stability guarantees and empirical accuracy exceeding 0.99 R² for oil production predictions alongside a 10,000x computational speedup.