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Spe 220002 Ms by EB is a document available to read on EtoBox.

This paper introduces a deep-learning-based surrogate model, Embed-to-control Observe (E2CO), for efficient performance forecasting and production optimization under geological uncertainty. The E2CO model predicts state variables and well outputs without relying on explicit well-model equations, enhancing the optimization process in complex reservoir scenarios. The study demonstrates the model

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EB

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EN