This item is printed on demand - it takes 3-4 days longer - Neuware -Production forecasting and reservoir modeling play vital roles in optimal field development plan and management of petroleum reservoirs. This motivates engineers to develop computationally efficient and fast numerical methods capable of constructing history matched reservoir models producing reliable production forecasts. Relatively two new soft computing techniques successfully applied for automatic history matching and production forecasting. The first approach is artificial neural networks (ANN) based modeling, and the 2nd is genetic algorithm (GA) based optimization. A higher-order neural network (HONN) with higher-order synaptic operation (HOSO) architecture that embeds linear (conventional), quadratic (QSO) and cubic synaptic operations (CSO) used for forecasting real field oil production. For automatic history matching problem through reservoir characterization, a global optimization method called adaptive genetic algorithm (AGA) was employed. Adaptive genetic operators of AGA dynamically adjusts control parameters during evolution. The performance of both soft computing methods in achieving fast convergence rate and reduced computational efforts are presented in this book. 256 pp. Englisch.

N� de ref. del art�culo 9783659917776

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo

Soft Computing on Reservoir Characterization & Production Forecasting

Editor

LAP LAMBERT Academic Publishing Feb 2017

Fecha de publicaci�n

2017

Idioma

Ingl�s

ISBN 10

365991777X

ISBN 13

9783659917776

Encuadernaci�n

Taschenbuch

Estado

Neu

Cat�logos de vendedores

Acerca de

Sinopsis

Production forecasting and reservoir modeling play vital roles in optimal field development plan and management of petroleum reservoirs. This motivates engineers to develop computationally efficient and fast numerical methods capable of constructing history matched reservoir models producing reliable production forecasts. Relatively two new soft computing techniques successfully applied for automatic history matching and production forecasting. The first approach is artificial neural networks (ANN) based modeling, and the 2nd is genetic algorithm (GA) based optimization. A higher-order neural network (HONN) with higher-order synaptic operation (HOSO) architecture that embeds linear (conventional), quadratic (QSO) and cubic synaptic operations (CSO) used for forecasting real field oil production. For automatic history matching problem through reservoir characterization, a global optimization method called adaptive genetic algorithm (AGA) was employed. Adaptive genetic operators of AGA dynamically adjusts control parameters during evolution. The performance of both soft computing methods in achieving fast convergence rate and reduced computational efforts are presented in this book.

Rese�a del editor

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

BuchWeltWeit Ludwig Meier e.K.
Germany

Condiciones de venta y env�o

Condiciones de venta

Allgemeine Gesch�ftsbedingungen mit Kundeninformationen
Inhaltsverzeichnis
Geltungsbereich
Vertragsschluss
Widerrufsrecht
Preise und Zahlungsbedingungen
Liefer- und Versandbedingungen
Eigentumsvorbehalt
M�ngelhaftung
Anwendbares Recht
Gerichtsstand
Alternative Streitbeilegung

Geltungsbereich
1.1 Diese Allgemeinen Gesch�ftsbedingungen (nachfolgend "AGB") des BuchWeltWeit Inh. Ludwig Meier e.K. (nachfolgend "Verk�ufer"), gelten f�r alle Vertr�ge, die ein Verbraucher oder Unternehmer (nachfolgend ?...

M�s informaci�n

Derecho a cancelaci�n

Condiciones de env�o

Der Versand ins Ausland findet IMMER mit DHL statt. Auch nach �sterreich verschicken wir nur mit DHL! Daher Standardversand == Luftpost!

Tarifas de env�o de Alemania a Espa�a

Tarifas de env�o de Alemania a Espa�a
Cantidad del pedido	De 1 a 14 d�as h�biles	De 1 a 14 d�as h�biles
Primer art�culo	EUR 11.00	EUR 11.00

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.

Informaci�n detallada sobre el vendedor