The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 13, 2007

Filed:

Dec. 03, 2003
Applicants:

Isabelle Rey-fabret, Versailles, FR;

Véronique Henriot, Rueil Malmaison, FR;

Quang-huy Tran, Rueil Malmaison, FR;

Inventors:

Isabelle Rey-Fabret, Versailles, FR;

Véronique Henriot, Rueil Malmaison, FR;

Quang-Huy Tran, Rueil Malmaison, FR;

Assignee:

Institut Francais du Petrole, Rueil Malmaison Cedex, FR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06G 7/48 (2006.01); G06G 7/50 (2006.01); G06G 7/57 (2006.01); G06F 15/18 (2006.01); G06F 15/00 (2006.01); G06N 3/08 (2006.01); G06N 3/02 (2006.01); G06N 3/00 (2006.01); G06N 3/10 (2006.01);
U.S. Cl.
CPC ...
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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