Based on digital twin, hybrid machine learning technology of data science and physical simulator is adopted to realize intelligent analysis of production and operation. Hybrid machine learning technology can help users make rapid, accurate and solvable prediction of various optimization schemes, so as to effectively promote production optimization, automation and enhance monitoring ability. Typical application scenarios include real-time optimization of oil and gas well production allocation, equipment fault diagnosis and analysis, pipe network simulation and prediction, etc.
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