NO20052731L - Fremgangsmate for modellering av hydrodynamiske karakteristikker til flerfasestrommer ved bruk av neurale nettverk - Google Patents

Fremgangsmate for modellering av hydrodynamiske karakteristikker til flerfasestrommer ved bruk av neurale nettverk

Info

Publication number
NO20052731L
NO20052731L NO20052731A NO20052731A NO20052731L NO 20052731 L NO20052731 L NO 20052731L NO 20052731 A NO20052731 A NO 20052731A NO 20052731 A NO20052731 A NO 20052731A NO 20052731 L NO20052731 L NO 20052731L
Authority
NO
Norway
Prior art keywords
flows
modeling
regimes
pipelines
neural
Prior art date
Application number
NO20052731A
Other languages
English (en)
Norwegian (no)
Other versions
NO20052731D0 (no
Inventor
Isabelle Rey-Fabret
Quang-Huy Tran
Veronique Henriot
Original Assignee
Inst Francais Du Petrole
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Inst Francais Du Petrole filed Critical Inst Francais Du Petrole
Publication of NO20052731D0 publication Critical patent/NO20052731D0/no
Publication of NO20052731L publication Critical patent/NO20052731L/no

Links

Classifications

    • 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 OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/0499—Feedforward networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Automation & Control Theory (AREA)
  • Measuring Volume Flow (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Feedback Control In General (AREA)
NO20052731A 2002-12-10 2005-06-07 Fremgangsmate for modellering av hydrodynamiske karakteristikker til flerfasestrommer ved bruk av neurale nettverk NO20052731L (no)

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

Publications (2)

Publication Number Publication Date
NO20052731D0 NO20052731D0 (no) 2005-06-07
NO20052731L true NO20052731L (no) 2005-07-05

Family

ID=32320135

Family Applications (1)

Application Number Title Priority Date Filing Date
NO20052731A NO20052731L (no) 2002-12-10 2005-06-07 Fremgangsmate for modellering av hydrodynamiske karakteristikker til flerfasestrommer ved bruk av neurale nettverk

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)

Families Citing this family (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8197700B2 (en) * 2005-12-30 2012-06-12 Saudi Arabian Oil Company Computational method for sizing three-phase separators
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
AU2011283196B2 (en) 2010-07-29 2014-07-31 Exxonmobil Upstream Research Company Method and system for reservoir modeling
CA2805446C (fr) 2010-07-29 2016-08-16 Exxonmobil Upstream Research Company Procedes et systemes de simulation d'ecoulement basee sur un apprentissage machine
US10087721B2 (en) 2010-07-29 2018-10-02 Exxonmobil Upstream Research Company Methods and systems for machine—learning based simulation of flow
BR112013002114A2 (pt) 2010-09-20 2016-05-17 Exxonmobil Upstream Res Co formulações flexíveis e adaptáveis para simulações de reservatório complexas
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
BR112014005794A2 (pt) 2011-09-15 2017-03-28 Exxonmobil Upstream Res Co operações matriciais e vetoriais otimizadas em algoritmos de instrução limitada que executam cálculos de equação de estado
EP2901363A4 (fr) 2012-09-28 2016-06-01 Exxonmobil Upstream Res Co Suppression des failles dans des modèles géologiques
EP3008282A2 (fr) 2013-06-10 2016-04-20 Exxonmobil Upstream Research Company Détermination de paramètres de puits pour une optimisation de rendement de puits
CA2948667A1 (fr) 2014-07-30 2016-02-04 Exxonmobil Upstream Research Company Procede de generation de maillage volumetrique dans un domaine ayant des proprietes de materiau heterogenes
US10803534B2 (en) 2014-10-31 2020-10-13 Exxonmobil Upstream Research Company Handling domain discontinuity with the help of grid optimization techniques
CA2963092C (fr) 2014-10-31 2021-07-06 Exxonmobil Upstream Research Company Procedes de gestion de discontinuite dans la construction d'espace de conception de modele de subsurface faillee a l'aide de moindres carres mobiles
WO2018118374A1 (fr) 2016-12-23 2018-06-28 Exxonmobil Upstream Research Company Procédé et système de simulation de réservoir stable et efficace à l'aide d'indicateurs de stabilité
CA3076887A1 (fr) 2017-09-26 2019-04-04 Saudi Arabian Oil Company Procede pour predictions de proprietes thermodynamiques de fluide economiques utilisant des modeles bases sur l'apprentissage automatique
WO2019132864A1 (fr) * 2017-12-26 2019-07-04 Landmark Graphics Corporation Représentation efficace de résultats de simulation tridimensionnelle complexe pour opérations en temps réel

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5550761A (en) * 1994-02-08 1996-08-27 Institut Francais Du Petrole Method for modelling multiphase flows in pipelines
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
US6208983B1 (en) * 1998-01-30 2001-03-27 Sarnoff Corporation Method and apparatus for training and operating a neural network for detecting breast cancer
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
FR2818742B1 (fr) * 2000-12-22 2003-02-14 Inst Francais Du Petrole Methode pour former un module a reseaux neuronaux optimise, destine a simuler le mode d'ecoulement d'une veine de fluides polyphasiques

Also Published As

Publication number Publication date
FR2848320A1 (fr) 2004-06-11
BR0317152A (pt) 2005-11-01
WO2004063983A2 (fr) 2004-07-29
FR2848320B1 (fr) 2005-01-28
US7177787B2 (en) 2007-02-13
GB2412466B (en) 2006-12-20
WO2004063983A3 (fr) 2005-05-12
US20060025975A1 (en) 2006-02-02
NO20052731D0 (no) 2005-06-07
GB2412466A (en) 2005-09-28
GB0513744D0 (en) 2005-08-10

Similar Documents

Publication Publication Date Title
NO20052731L (no) Fremgangsmate for modellering av hydrodynamiske karakteristikker til flerfasestrommer ved bruk av neurale nettverk
CN103380424B (zh) 用于在使用人工神经网络在储层模拟中模拟管道水力学的系统和方法
WO2020227383A1 (fr) Combinaison d'apprentissage machine avec une connaissance de domaine et de premiers principes pour une modélisation dans les industries de processus
Munavalli et al. Water quality parameter estimation in steady-state distribution system
Ozdemir et al. Simulation of chlorine decay in drinking-water distribution systems
Demir et al. An MS Excel tool for water distribution network design in environmental engineering education
Munavalli et al. Modified Lagrangian method for modeling water quality in distribution systems
Cheng et al. A novel statistical model for water age estimation in water distribution networks
López-González et al. Modelling and simulation of the dynamic performance of a natural-gas turbine flowmeter
Duzinkiewicz et al. Drinking water distribution system modelling-an approach to skeletonization
I Mohamed et al. Impact of water demand pattern variation on hydraulic behavior and water quality in water distribution systems
VUŢĂ et al. Infoworks WS and epanet v2-Modeling the water distribution networks
Musz et al. Some issues concerning the problems of water quality modeling in distribution systems
Sakarya et al. Optimal operation of water distribution systems for water quality purposes
Bikmukhametov et al. Hybrid Machine Learning Modeling of Engineering Systems--A Probabilistic Perspective Tested on a Multiphase Flow Modeling Case Study
Naser et al. A 2-D transient multicomponent simulation model: Application to pipe wall corrosion
Chaudhry et al. Water quality modeling in pipe networks
Seyoum Head-dependent modelling and optimisation of water distribution systems
Youli et al. Estimation of pollutant discharge in the Bohai Sea with variational assimilation method
Vandrangi et al. Transient Modeling of Two-Phase Flows Using OLGA
Bouchart et al. Water Quality Implication of Using SCADA Data Directly Within the Unified Hydraulic Solver
Kittilsen et al. Designing models for online use with Modelica and FMI
Price et al. Practical approach to water system optimal operation
Al-Zalitani et al. Utilizing excel solver for complex pipe network analysis and development of an educational tool
Caputo et al. Software tool for environmental plant modeling

Legal Events

Date Code Title Description
FC2A Withdrawal, rejection or dismissal of laid open patent application