Data processing: structural design – modeling – simulation – and em – Simulating nonelectrical device or system – Fluid
Reexamination Certificate
2007-02-13
2007-02-13
Shah, Kamini (Department: 2128)
Data processing: structural design, modeling, simulation, and em
Simulating nonelectrical device or system
Fluid
C703S006000, C706S025000, C706S026000, C706S044000
Reexamination Certificate
active
10538089
ABSTRACT:
Method intended for real-time modelling, by neural networks, of hydrodynamic characteristics of multiphase flows in transient phase in pipes. In order to specifically take account of the possible flow regimes of fluids in pipes, various neural or “expert” models are formed for several flow regimes (or subregimes) in the whole of the variation range of the hydrodynamic characteristics of the flows (preferably for each one of them), as well as a neural model estimating the probability of belonging of the flows to each flow regime or subregime, knowing some of the characteristics thereof. The probabilities obtained are used for weighting the estimations delivered by each neural model, the result of the weighted sum being then the estimation eventually retained. Applications to various industries and notably for modelling of hydrocarbon flows in pipelines.
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Henriot Veronique
Rey-Fabret Isabelle
Tran Quang-Huy
Antonelli, Terry Stout and Kraus, LLP.
Institut Francais du Pe'trole
Lo Suzanne
Shah Kamini
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