BR0103078A - Método e sistema pretendido para uma estimativa em tempo real do modo de escoamento de um fluxo de fluìdo de fase múltipla em todos os pontos de uma tubulação - Google Patents
Método e sistema pretendido para uma estimativa em tempo real do modo de escoamento de um fluxo de fluìdo de fase múltipla em todos os pontos de uma tubulaçãoInfo
- Publication number
- BR0103078A BR0103078A BR0103078-7A BR0103078A BR0103078A BR 0103078 A BR0103078 A BR 0103078A BR 0103078 A BR0103078 A BR 0103078A BR 0103078 A BR0103078 A BR 0103078A
- Authority
- BR
- Brazil
- Prior art keywords
- flow
- real
- points
- phase fluid
- time estimation
- Prior art date
Links
- 238000000034 method Methods 0.000 title abstract 5
- 239000012530 fluid Substances 0.000 title abstract 3
- 230000004913 activation Effects 0.000 abstract 2
- 238000013528 artificial neural network Methods 0.000 abstract 1
- 230000006870 function Effects 0.000 abstract 1
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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Measuring Volume Flow (AREA)
Abstract
Patente de Invenção: "MéTODO E SISTEMA PRETENDIDO PARA UMA ESTIMATIVA EM TEMPO REAL DO MODO DE ESCOAMENTO DE UM FLUXO DE FLUIDO DE FASE MúLTIPLA EM TODOS OS PONTOS DE UMA TUBULAçãO". Método e sistema pretendidos para uma estimativa em tempo real do modo de escoamento, em todos os pontos de um tubo cuja estrutura é definida por um certo número de parâmetros estruturais, de um fluxo de fluido de fase múltipla definido por várias quantidades físicas. Uma rede neural não-linear é formada com uma camada de entrada tendo tantas entradas quantos forem os parâmetros estruturais e as quantidades físicas, uma camada de saída com tantas saídas quantas forem as quantidades necessárias para a estimativa do modo de escoamento e pelo menos uma camada intermediária. Uma base de aprendizado é criada, com tabelas predeterminadas conectando vários valores obtidos para os dados de saída aos valores correspondentes dos dados de entrada, com uma determinação iterativa dos fatores de ponderação da função de ativação, permitindo conectar, apropriadamente, os valores nas tabelas de dados de entrada e de saída. De modo a evitar que singularidades dos dados de saída da rede, provavelmente, distorçam a determinação dos fatores de ponderação, um procedimento de classificação é usado, para a eliminação dos dados não-pertinentes. As vantagens principais do método são: simplificação da modelagem e economia de tempo. Aplicações: implementação simplificada de módulos hidrodinâmicos, que podem ser integrados nas ferramentas de modelagem, por exemplo.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| FR0009889A FR2812389B1 (fr) | 2000-07-27 | 2000-07-27 | Methode et systeme pour estimer en temps reel le mode d'ecoulement d'une veine fluide polyphasique, en tous points d'une conduite |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| BR0103078A true BR0103078A (pt) | 2002-02-26 |
Family
ID=8853004
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| BR0103078-7A BR0103078A (pt) | 2000-07-27 | 2001-07-25 | Método e sistema pretendido para uma estimativa em tempo real do modo de escoamento de um fluxo de fluìdo de fase múltipla em todos os pontos de uma tubulação |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US6941254B2 (pt) |
| EP (1) | EP1176481B1 (pt) |
| BR (1) | BR0103078A (pt) |
| FR (1) | FR2812389B1 (pt) |
| NO (1) | NO20013670L (pt) |
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| FR2848320B1 (fr) * | 2002-12-10 | 2005-01-28 | Inst Francais Du Petrole | Methode pour modeliser des caracteristiques hydrodynamiques d'ecoulements polyphasiques par reseaux de neurones |
| US7379852B2 (en) * | 2004-02-18 | 2008-05-27 | Chevron U.S.A. Inc. | N-phase interface tracking method utilizing unique enumeration of microgrid cells |
| US7877239B2 (en) * | 2005-04-08 | 2011-01-25 | Caterpillar Inc | Symmetric random scatter process for probabilistic modeling system for product design |
| US20060229854A1 (en) * | 2005-04-08 | 2006-10-12 | Caterpillar Inc. | Computer system architecture for probabilistic modeling |
| US8209156B2 (en) * | 2005-04-08 | 2012-06-26 | Caterpillar Inc. | Asymmetric random scatter process for probabilistic modeling system for product design |
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| US20060229753A1 (en) * | 2005-04-08 | 2006-10-12 | Caterpillar Inc. | Probabilistic modeling system for product design |
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| US7654151B2 (en) * | 2005-05-10 | 2010-02-02 | Agar Corporation Ltd. | Method and apparatus for measuring multi-streams and multi-phase flow |
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| US20070118487A1 (en) * | 2005-11-18 | 2007-05-24 | Caterpillar Inc. | Product cost modeling method and system |
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| US7831416B2 (en) * | 2007-07-17 | 2010-11-09 | Caterpillar Inc | Probabilistic modeling system for product design |
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| US8224468B2 (en) * | 2007-11-02 | 2012-07-17 | Caterpillar Inc. | Calibration certificate for virtual sensor network (VSN) |
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| US20100223039A1 (en) * | 2007-12-21 | 2010-09-02 | Serguei Maliassov | Modeling In Sedimentary Basins |
| US20090254325A1 (en) * | 2008-03-20 | 2009-10-08 | Oktay Metin Gokdemir | Management of measurement data being applied to reservoir models |
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| US20090293457A1 (en) * | 2008-05-30 | 2009-12-03 | Grichnik Anthony J | System and method for controlling NOx reactant supply |
| US7917333B2 (en) * | 2008-08-20 | 2011-03-29 | Caterpillar Inc. | Virtual sensor network (VSN) based control system and method |
| US8386221B2 (en) * | 2009-12-07 | 2013-02-26 | Nuovo Pignone S.P.A. | Method for subsea equipment subject to hydrogen induced stress cracking |
| CN101865710B (zh) * | 2010-05-26 | 2012-01-04 | 北京航空航天大学 | 一种负压气体的流量测量方法 |
| US8924029B2 (en) * | 2011-02-23 | 2014-12-30 | Honeywell International Inc. | Apparatus and method for increasing the ultimate recovery of natural gas contained in shale and other tight gas reservoirs |
| US8793004B2 (en) | 2011-06-15 | 2014-07-29 | Caterpillar Inc. | Virtual sensor system and method for generating output parameters |
| CZ306533B6 (cs) * | 2013-08-01 | 2017-03-01 | Ăšstav informatiky AV ÄŚR, v.v.i. | Hardwarový evaluátor neuronové sítě s přepínacími jednotkami |
| US20150377667A1 (en) * | 2014-06-30 | 2015-12-31 | Saudi Arabian Oil Company | Virtual multiphase flow metering and sand detection |
| US10288463B2 (en) | 2015-06-26 | 2019-05-14 | Baker Hughes, A Ge Company, Llc | Multiphase thermal flowmeter for stratified flow |
| US10101194B2 (en) | 2015-12-31 | 2018-10-16 | General Electric Company | System and method for identifying and recovering from a temporary sensor failure |
| US10401207B2 (en) | 2016-09-14 | 2019-09-03 | GE Oil & Gas UK, Ltd. | Method for assessing and managing sensor uncertainties in a virtual flow meter |
| US11940318B2 (en) | 2016-09-27 | 2024-03-26 | Baker Hughes Energy Technology UK Limited | Method for detection and isolation of faulty sensors |
| CN109002629B (zh) * | 2018-08-01 | 2023-02-03 | 苏州慧德仿真技术有限公司 | 一种多相流模拟仿真的卷积神经网络及快速可视化方法 |
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| US4683759A (en) * | 1985-12-23 | 1987-08-04 | Texaco Inc. | Characterization of two-phase flow in pipes |
| JPH04262453A (ja) * | 1991-02-15 | 1992-09-17 | Hitachi Ltd | ニュ−ロ学習制御方法及び装置 |
| US5226092A (en) * | 1991-06-28 | 1993-07-06 | Digital Equipment Corporation | Method and apparatus for learning in a neural network |
| US5550761A (en) * | 1994-02-08 | 1996-08-27 | Institut Francais Du Petrole | Method for modelling multiphase flows in pipelines |
| US5741980A (en) * | 1994-11-02 | 1998-04-21 | Foster-Miller, Inc. | Flow analysis system and method |
| US6654697B1 (en) * | 1996-03-28 | 2003-11-25 | Rosemount Inc. | Flow measurement with diagnostics |
| 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 |
| FR2756045B1 (fr) * | 1996-11-18 | 1998-12-24 | Inst Francais Du Petrole | Methode pour former un modele de simulation d'ecoulements diphasiques transitoires dans des conduites d'acheminement |
| DE01918944T1 (de) * | 2000-03-23 | 2004-10-21 | Invensys Systems, Inc., Foxboro | Korrektur für eine zweiphasenströmung in einem digitalen durchflussmesser |
| 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 |
| US6505579B1 (en) * | 2001-09-25 | 2003-01-14 | Te-Fa Lee | System and process for water injection control of internal combustion engine |
-
2000
- 2000-07-27 FR FR0009889A patent/FR2812389B1/fr not_active Expired - Fee Related
-
2001
- 2001-06-14 EP EP01401539A patent/EP1176481B1/fr not_active Expired - Lifetime
- 2001-07-06 US US09/899,039 patent/US6941254B2/en not_active Expired - Fee Related
- 2001-07-25 BR BR0103078-7A patent/BR0103078A/pt not_active Application Discontinuation
- 2001-07-26 NO NO20013670A patent/NO20013670L/no not_active Application Discontinuation
Also Published As
| Publication number | Publication date |
|---|---|
| EP1176481A1 (fr) | 2002-01-30 |
| FR2812389A1 (fr) | 2002-02-01 |
| US20020016701A1 (en) | 2002-02-07 |
| US6941254B2 (en) | 2005-09-06 |
| FR2812389B1 (fr) | 2002-09-13 |
| NO20013670L (no) | 2002-01-28 |
| NO20013670D0 (no) | 2001-07-26 |
| EP1176481B1 (fr) | 2006-11-15 |
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| B09B | Patent application refused [chapter 9.2 patent gazette] |
Free format text: INDEFIRO O PEDIDO DE ACORDO COM ART. 8O COMBINADO COM ART. 13 DA LPI |
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