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GRAPH NEURAL NETWORKS applied to reservoir engineering
Evaluate if the pressure and the production of wells in an oil field can be estimated with graph neural networks
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When AI Meets Reservoir Engineering: Time Series Forecasting for Reservoir Engineering
Can the pressure answer of a field be estimated with neural networks in situations of fast decision-making or when a reservoir model is not available?
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Cognitive ranking of eor opportunities
EOR choices are often addressed with circular processes, increasing decision time without necessarily improving final choice
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Production profile prediction from geological variables
For mature fields, a long history of production data is often available, but the impact of geological factors remains hard to assess
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