WO2004063983A3 - Methode pour modeliser des caracteristiques hydrodynamiques d'ecoulements polyphasiques par reseaux de neurones - Google Patents

Methode pour modeliser des caracteristiques hydrodynamiques d'ecoulements polyphasiques par reseaux de neurones Download PDF

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Publication number
WO2004063983A3
WO2004063983A3 PCT/FR2003/003583 FR0303583W WO2004063983A3 WO 2004063983 A3 WO2004063983 A3 WO 2004063983A3 FR 0303583 W FR0303583 W FR 0303583W WO 2004063983 A3 WO2004063983 A3 WO 2004063983A3
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WO
WIPO (PCT)
Prior art keywords
neuronal
flows
modelling
conduits
models
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PCT/FR2003/003583
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English (en)
Other versions
WO2004063983A2 (fr
Inventor
Isabelle Rey-Fabret
Veronique Henriot
Quang-Huy Tran
Original Assignee
Inst Francais Du Petrole
Isabelle Rey-Fabret
Veronique Henriot
Quang-Huy Tran
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Application filed by Inst Francais Du Petrole, Isabelle Rey-Fabret, Veronique Henriot, Quang-Huy Tran filed Critical Inst Francais Du Petrole
Priority to GB0513744A priority Critical patent/GB2412466B/en
Priority to US10/538,089 priority patent/US7177787B2/en
Priority to BR0317152-3A priority patent/BR0317152A/pt
Publication of WO2004063983A2 publication Critical patent/WO2004063983A2/fr
Publication of WO2004063983A3 publication Critical patent/WO2004063983A3/fr
Priority to NO20052731A priority patent/NO20052731L/no

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • G05B17/02—Systems involving the use of models or simulators of said systems electric
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • General Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Measuring Volume Flow (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Feedback Control In General (AREA)

Abstract

Méthode pour modéliser en temps réel par des réseaux de neurones, des caractéristiques hydrodynamiques d’écoulements polyphasiques en phase transitoire dans des conduites. Pour tenir compte spécifiquement des régimes d’écoulement possibles des fluides dans les conduites, des fluides, on forme différent modèles neuronaux ou « experts » pour plusieurs régimes d’écoulement dans l’ensemble du domaine de variation des caractéristiques hydrodynamiques des écoulements (de préférence pour chacun d’eux), et aussi un modèle neuronal estimant la probabilité d’appartenance des écoulements à chaque régime d’écoulement connasissant certaines de ses caractéristique. Les probabilités obtenues servent à pondérer les estimations délivrées par chacun des modèles neuronaux ci-après désignés par « experts », le résultat de la somme pondérée étant alors l’estimation finalement retenue. Applications dans différentes industries et notamment à la modélisation d’écoulements d’hydrocarbures dans des conduites pétrolières.
PCT/FR2003/003583 2002-12-10 2003-12-03 Methode pour modeliser des caracteristiques hydrodynamiques d'ecoulements polyphasiques par reseaux de neurones WO2004063983A2 (fr)

Priority Applications (4)

Application Number Priority Date Filing Date Title
GB0513744A GB2412466B (en) 2002-12-10 2003-12-03 Method of modelling the hydrodynamic characteristics of multiphase flows using neuronal networks
US10/538,089 US7177787B2 (en) 2002-12-10 2003-12-03 Method for modelling hydrodynamic characteristics of multiphase flows using neuronal networks
BR0317152-3A BR0317152A (pt) 2002-12-10 2003-12-03 Método para modelar as caracterìsticas hidrodinâmicas de fluxos multifásicos utilizando redes neurais
NO20052731A NO20052731L (no) 2002-12-10 2005-06-07 Fremgangsmate for modellering av hydrodynamiske karakteristikker til flerfasestrommer ved bruk av neurale nettverk

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR0215570A FR2848320B1 (fr) 2002-12-10 2002-12-10 Methode pour modeliser des caracteristiques hydrodynamiques d'ecoulements polyphasiques par reseaux de neurones
FR02/15570 2002-12-10

Publications (2)

Publication Number Publication Date
WO2004063983A2 WO2004063983A2 (fr) 2004-07-29
WO2004063983A3 true WO2004063983A3 (fr) 2005-05-12

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PCT/FR2003/003583 WO2004063983A2 (fr) 2002-12-10 2003-12-03 Methode pour modeliser des caracteristiques hydrodynamiques d'ecoulements polyphasiques par reseaux de neurones

Country Status (6)

Country Link
US (1) US7177787B2 (fr)
BR (1) BR0317152A (fr)
FR (1) FR2848320B1 (fr)
GB (1) GB2412466B (fr)
NO (1) NO20052731L (fr)
WO (1) WO2004063983A2 (fr)

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US20080270328A1 (en) * 2006-10-18 2008-10-30 Chad Lafferty Building and Using Intelligent Software Agents For Optimizing Oil And Gas Wells
US20080202763A1 (en) * 2007-02-23 2008-08-28 Intelligent Agent Corporation Method to Optimize Production from a Gas-lifted Oil Well
US8386221B2 (en) * 2009-12-07 2013-02-26 Nuovo Pignone S.P.A. Method for subsea equipment subject to hydrogen induced stress cracking
US9134454B2 (en) 2010-04-30 2015-09-15 Exxonmobil Upstream Research Company Method and system for finite volume simulation of flow
CA2803066A1 (fr) 2010-07-29 2012-02-02 Exxonmobil Upstream Research Company Procedes et systemes pour une simulation de flux par apprentissage automatique
EP2599032A4 (fr) 2010-07-29 2018-01-17 Exxonmobil Upstream Research Company Procédé et système de modélisation d'un réservoir
WO2012015518A2 (fr) 2010-07-29 2012-02-02 Exxonmobil Upstream Research Company Procédés et systèmes de simulation d'écoulement basée sur un apprentissage machine
CA2807300C (fr) 2010-09-20 2017-01-03 Exxonmobil Upstream Research Company Formulations souples et adaptatives pour des simulations de gisements complexes
US9015093B1 (en) 2010-10-26 2015-04-21 Michael Lamport Commons Intelligent control with hierarchical stacked neural networks
US8775341B1 (en) 2010-10-26 2014-07-08 Michael Lamport Commons Intelligent control with hierarchical stacked neural networks
WO2013039606A1 (fr) 2011-09-15 2013-03-21 Exxonmobil Upstream Research Company Opérations matricielles et vectorielles optimisées dans des algorithmes à instructions limitées qui effectuent des calculs eos
EP2901363A4 (fr) 2012-09-28 2016-06-01 Exxonmobil Upstream Res Co Suppression des failles dans des modèles géologiques
WO2014200669A2 (fr) 2013-06-10 2014-12-18 Exxonmobil Upstream Research Company Détermination de paramètres de puits pour une optimisation de rendement de puits
EP3175265A1 (fr) 2014-07-30 2017-06-07 ExxonMobil Upstream Research Company Procédé de génération de maillage volumétrique dans un domaine ayant des propriétés de matériau hétérogènes
AU2015339883B2 (en) 2014-10-31 2018-03-29 Exxonmobil Upstream Research Company Methods to handle discontinuity in constructing design space for faulted subsurface model using moving least squares
EP3213126A1 (fr) 2014-10-31 2017-09-06 Exxonmobil Upstream Research Company Gestion de discontinuité de domaine dans un modèle de grille de sous-surface à l'aide de techniques d'optimisation de grille
CA3043231C (fr) 2016-12-23 2022-06-14 Exxonmobil Upstream Research Company Procede et systeme de simulation de reservoir stable et efficace a l'aide d'indicateurs de stabilite
CN111344710A (zh) 2017-09-26 2020-06-26 沙特阿拉伯石油公司 使用基于机器学习的模型进行成本有效的热力学流体特性预测的方法
WO2019132864A1 (fr) * 2017-12-26 2019-07-04 Landmark Graphics Corporation Représentation efficace de résultats de simulation tridimensionnelle complexe pour opérations en temps réel

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FR2756044B1 (fr) * 1996-11-18 1998-12-24 Inst Francais Du Petrole Methode pour constituer un modele representatif d'ecoulements polyphasiques dans des conduites de production petroliere
FR2812389B1 (fr) * 2000-07-27 2002-09-13 Inst Francais Du Petrole Methode et systeme pour estimer en temps reel le mode d'ecoulement d'une veine fluide polyphasique, en tous points d'une conduite

Patent Citations (2)

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EP1217474A1 (fr) * 2000-12-22 2002-06-26 Institut Francais Du Petrole Méthode pour former un module à réseaux neuronaux optimisé, destiné à simuler le mode d'écoulement d'une veine de fluides polyphasiques

Non-Patent Citations (3)

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Also Published As

Publication number Publication date
US7177787B2 (en) 2007-02-13
FR2848320B1 (fr) 2005-01-28
BR0317152A (pt) 2005-11-01
FR2848320A1 (fr) 2004-06-11
GB0513744D0 (en) 2005-08-10
GB2412466B (en) 2006-12-20
GB2412466A (en) 2005-09-28
NO20052731L (no) 2005-07-05
US20060025975A1 (en) 2006-02-02
NO20052731D0 (no) 2005-06-07
WO2004063983A2 (fr) 2004-07-29

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