Intelligent Production Optimization in Real-Time by Implementing Hybrid Data-Physics Simulation

In day to day operations, oil producers need to optimize their production workflow to reduce operational costs. Building a physics-based reservoir model is costly and time-consuming and is not suitable to generate and compare many scenarios. The alternative procedure, Data-Driven Model, is fast enough; however, testing and validating the model is controversial. In this project, […]

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