Physical and data combined driving oil reservoir seepage simulation method and system
The invention discloses a physics and data combined drive oil reservoir seepage simulation method and system. The method comprises the steps that a physical model of a target oil reservoir area is determined; determining fluid high-pressure physical properties, reservoir attributes and a multiphase...
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Main Authors | , , , |
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Format | Patent |
Language | Chinese English |
Published |
11.10.2022
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a physics and data combined drive oil reservoir seepage simulation method and system. The method comprises the steps that a physical model of a target oil reservoir area is determined; determining fluid high-pressure physical properties, reservoir attributes and a multiphase seepage mechanism of the target oil reservoir area; based on the physical model, the fluid high-pressure physical property, the reservoir attribute and the multiphase seepage mechanism, determining a multiphase seepage model of the target oil reservoir area; constructing an adaptive differentiable node neuron connection model, and determining a loss function of the adaptive differentiable node neuron connection model based on the multiphase seepage model and the well point production data; obtaining a space-time training data set of the physical model; training the self-adaptive differentiable node neuron connection model based on the well point production data and the multiphase seepage model to obtain a trained s |
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Bibliography: | Application Number: CN202210898894 |