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The reservoir flow model has been constructed based on the field geophysical, geological, and engineering data.
Each of these scales contributes to the final reservoir flow model.
The framework includes a field-scale compositional reservoir flow model, an uncertainty quantification model and a neural network optimization process.
Project objectives help define the level of detail that can be incorporated in a reservoir flow model.
The formation between the wellbore and the oil water interface is discretized according to the division of the horizontal wellbore in the reservoir flow model.
Since the pressure in perforation holes is relevant to the wellbore pressure, a coupling relationship exists between the reservoir flow model and the wellbore pressure drop model.
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Reservoir flow modeling exists within the context of the reservoir management function.
Material balance and reservoir flow modeling techniques use dynamic data to obtain original fluid volumes.
This difference has a significant impact on reservoir flow modeling workflows.
A new approach to combined transient well flow and reservoir flow modeling is presented with focus on advanced well completions.
The proposed method can be implemented in an existing simulator, e.g., for CO2 sequestration or reservoir flow modeling, quite easily.
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