Soft Computing for Reservoir Characterization and Modeling
. Ed(s): Wong, Patrick; Aminzadeh, Fred; Nikravesh, Masoud
ISBN 10: 3790814210 ISBN 13: 9783790814217
Editorial: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2001
Nuevos
Encuadernación de tapa dura
Librería:
Kennys Bookstore, Olney, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Vendedor de AbeBooks desde 9 de octubre de 2009
Este artículo en concreto ya no está disponible.
Descripción
Descripción:
This volume is a comprehensive book in the area of intelligent reservoir characterization written by leading experts in academia and industry. It discusses state-of-the-art techniques to be applied in reservoir geophysics, well logging, reservoir geology, and reservoir engineering. Editor(s): Wong, Patrick; Aminzadeh, Fred; Nikravesh, Masoud. Series: Studies in Fuzziness and Soft Computing. Num Pages: 586 pages, 34 black & white tables, biography. BIC Classification: PHVG; RBG; TTU; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 36. Weight in Grams: 1175. . 2001. Hardback. . . . . Books ship from the US and Ireland. N° de ref. del artículo V9783790814217
Sinopsis:
The volume is the first comprehensive book in the area of intelligent reservoir characterization written by leading experts in academia and industry. It contains state-of-the-art techniques to be applied in reservoir geophysics, well logging, reservoir geology, and reservoir engineering. It introduces the basic concepts of soft computing techniques including neural networks, fuzzy logic and evolutionary computing applied to reservoir characterization. Some advanced statistical and hybrid models are also presented. The specific applications include different reservoir characterization topics such as prediction of petrophysical properties from well logs and seismic attributes.
De la contraportada: The volume is the first comprehensive book in the area of intelligent reservoir characterization written by leading experts in academia and industry. It contains state-of-the-art techniques to be applied in reservoir geophysics, well logging, reservoir geology, and reservoir engineering. It introduces the basic concepts of soft computing techniques including neural networks, fuzzy logic and evolutionary computing applied to reservoir characterization. Some advanced statistical and hybrid models are also presented. The specific applications include different reservoir characterization topics such as prediction of petrophysical properties from well logs and seismic attributes.
"Sobre este título" puede pertenecer a otra edición de este libro.
Detalles bibliográficos
Título: Soft Computing for Reservoir ...
Editorial: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Año de publicación: 2001
Encuadernación: Encuadernación de tapa dura
Condición: New
Los mejores resultados en AbeBooks
Imagen del vendedor
Soft Computing for Reservoir Characterization and Modeling
Impresión bajo demandaLibrería: moluna, Greven, Alemania
Calificación del vendedor: 4 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. General overview of soft computing techniques and their application in reservoir modeling practicesFirst specialized book on the topicGeneral overview of soft computing techniques and their application in reservoir modeling practicesFirst . Nº de ref. del artículo: 5310372
Gastos de envío:
EUR 48,99
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Soft Computing for Reservoir Characterization and Modeling
Publicado por
Physica-Verlag HD Dez 2001, 2001
ISBN 10: 3790814210
ISBN 13: 9783790814217
Nuevo
Tapa dura
Original o primera edición
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Neuware -In the middle of the 20th century, Genrich Altshuller, a Russian engineer, analysed hundreds of thousands of patents and scientific publications. From this analysis, he developed TRIZ (G. Altshuller, '40 Principles: TRIZ Keys to Technical Innovation. TRIZ Tools,' Volume 1, First Edition, Technical Innovation Center, Inc. , Worcester, MA, January 1998; Y. Salamatov, 'TRIZ: The Right Solution at the Right Time. A Guide to Innovative Problem Solving. ' Insytec B. V. , 1999), the theory of inventive problem solving, together with a series of practical tools for helping engineers solving technical problems. Among these tools and theories, the substance-field theory gives a structured way of representing problems, the patterns of evolution show the lifecycle of technical systems, the contradiction matrix tells you how to resolve technical contradictions, using the forty principles that describe common ways of improving technical systems. For example, if you want to increase the strength of a device, without adding too much extra weight to it, the contradiction matrix tells you that you can use 'Principle 1: Segmentation,' or 'Principle 8: Counterweight,' or 'Principle 15: Dynamicity,' or 'Principle 40: Composite Materials. ' I really like two particular ones: 'Principle 1: Segmentation,' and Principle 15: Dynamicity. ' 'Segmentation' shows how systems evolve from an initial monolithic form into a set of independent parts, then eventually increasing the number of parts until each part becomes small enough that it cannot be identified anymore.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 604 pp. Englisch. Nº de ref. del artículo: 9783790814217
Gastos de envío:
EUR 60,00
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 2 disponibles
Imagen del vendedor
Soft Computing for Reservoir Characterization and Modeling
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the middle of the 20th century, Genrich Altshuller, a Russian engineer, analysed hundreds of thousands of patents and scientific publications. From this analysis, he developed TRIZ (G. Altshuller, '40 Principles: TRIZ Keys to Technical Innovation. TRIZ Tools,' Volume 1, First Edition, Technical Innovation Center, Inc. , Worcester, MA, January 1998; Y. Salamatov, 'TRIZ: The Right Solution at the Right Time. A Guide to Innovative Problem Solving. ' Insytec B. V. , 1999), the theory of inventive problem solving, together with a series of practical tools for helping engineers solving technical problems. Among these tools and theories, the substance-field theory gives a structured way of representing problems, the patterns of evolution show the lifecycle of technical systems, the contradiction matrix tells you how to resolve technical contradictions, using the forty principles that describe common ways of improving technical systems. For example, if you want to increase the strength of a device, without adding too much extra weight to it, the contradiction matrix tells you that you can use 'Principle 1: Segmentation,' or 'Principle 8: Counterweight,' or 'Principle 15: Dynamicity,' or 'Principle 40: Composite Materials. ' I really like two particular ones: 'Principle 1: Segmentation,' and Principle 15: Dynamicity. ' 'Segmentation' shows how systems evolve from an initial monolithic form into a set of independent parts, then eventually increasing the number of parts until each part becomes small enough that it cannot be identified anymore. Nº de ref. del artículo: 9783790814217
Gastos de envío:
EUR 65,31
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles
Imagen del vendedor
Soft Computing for Reservoir Characterization and Modeling
Publicado por
Physica-Verlag, Physica-Verlag HD, Physica Dez 2001, 2001
ISBN 10: 3790814210
ISBN 13: 9783790814217
Nuevo
Tapa dura
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the middle of the 20th century, Genrich Altshuller, a Russian engineer, analysed hundreds of thousands of patents and scientific publications. From this analysis, he developed TRIZ (G. Altshuller, '40 Principles: TRIZ Keys to Technical Innovation. TRIZ Tools,' Volume 1, First Edition, Technical Innovation Center, Inc. , Worcester, MA, January 1998; Y. Salamatov, 'TRIZ: The Right Solution at the Right Time. A Guide to Innovative Problem Solving. ' Insytec B. V. , 1999), the theory of inventive problem solving, together with a series of practical tools for helping engineers solving technical problems. Among these tools and theories, the substance-field theory gives a structured way of representing problems, the patterns of evolution show the lifecycle of technical systems, the contradiction matrix tells you how to resolve technical contradictions, using the forty principles that describe common ways of improving technical systems. For example, if you want to increase the strength of a device, without adding too much extra weight to it, the contradiction matrix tells you that you can use 'Principle 1: Segmentation,' or 'Principle 8: Counterweight,' or 'Principle 15: Dynamicity,' or 'Principle 40: Composite Materials. ' I really like two particular ones: 'Principle 1: Segmentation,' and Principle 15: Dynamicity. ' 'Segmentation' shows how systems evolve from an initial monolithic form into a set of independent parts, then eventually increasing the number of parts until each part becomes small enough that it cannot be identified anymore. 586 pp. Englisch. Nº de ref. del artículo: 9783790814217
Gastos de envío:
EUR 23,00
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 2 disponibles
Imagen de archivo
Soft Computing for Reservoir Characterization and Modeling (Studies in Fuzziness and Soft Computing, 80)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9783790814217_new
Gastos de envío:
EUR 13,77
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Soft Computing for Reservoir Characterization and Modeling
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 980872-n
Cantidad disponible: 15 disponibles
Imagen de archivo
Soft Computing for Reservoir Characterization and Modeling (Hardcover)
Publicado por
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Heidelberg, 2001
ISBN 10: 3790814210
ISBN 13: 9783790814217
Nuevo
Tapa dura
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. The volume is the first comprehensive book in the area of intelligent reservoir characterization written by leading experts in academia and industry. It contains state-of-the-art techniques to be applied in reservoir geophysics, well logging, reservoir geology, and reservoir engineering. It introduces the basic concepts of soft computing techniques including neural networks, fuzzy logic and evolutionary computing applied to reservoir characterization. Some advanced statistical and hybrid models are also presented. The specific applications include different reservoir characterization topics such as prediction of petrophysical properties from well logs and seismic attributes. For example, if you want to increase the strength of a device, without adding too much extra weight to it, the contradiction matrix tells you that you can use "Principle 1: Segmentation," or "Principle 8: Counterweight," or "Principle 15: Dynamicity," or "Principle 40: Composite Materials. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783790814217
Cantidad disponible: 1 disponibles
Imagen del vendedor
Soft Computing for Reservoir Characterization and Modeling
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 980872
Cantidad disponible: 15 disponibles
Imagen de archivo
Soft Computing for Reservoir Characterization and Modeling (Studies in Fuzziness and Soft Computing)
Publicado por
Physica-Verlag Heidelberg, 2002
ISBN 10: 3790814210
ISBN 13: 9783790814217
Nuevo
Tapa dura
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: Brand New. 1st edition. 586 pages. 9.75x6.50x1.00 inches. In Stock. Nº de ref. del artículo: x-3790814210
Gastos de envío:
EUR 28,74
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 2 disponibles
Imagen de archivo
Soft Computing for Reservoir Characterization and Modeling (Hardcover)
Publicado por
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Heidelberg, 2001
ISBN 10: 3790814210
ISBN 13: 9783790814217
Nuevo
Tapa dura
Librería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. The volume is the first comprehensive book in the area of intelligent reservoir characterization written by leading experts in academia and industry. It contains state-of-the-art techniques to be applied in reservoir geophysics, well logging, reservoir geology, and reservoir engineering. It introduces the basic concepts of soft computing techniques including neural networks, fuzzy logic and evolutionary computing applied to reservoir characterization. Some advanced statistical and hybrid models are also presented. The specific applications include different reservoir characterization topics such as prediction of petrophysical properties from well logs and seismic attributes. For example, if you want to increase the strength of a device, without adding too much extra weight to it, the contradiction matrix tells you that you can use "Principle 1: Segmentation," or "Principle 8: Counterweight," or "Principle 15: Dynamicity," or "Principle 40: Composite Materials. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9783790814217
Gastos de envío:
EUR 31,89
De Australia a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles