Soft Computing for Reservoir Characterization and Modeling
. Ed(s): Wong, Patrick; Aminzadeh, Fred; Nikravesh, Masoud
ISBN 10: 3790814210 ISBN 13: 9783790814217
Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2001
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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. . . . . Codice articolo V9783790814217
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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.
Dalla quarta di copertina: 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.
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Titolo: Soft Computing for Reservoir ...
Casa editrice: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Data di pubblicazione: 2001
Legatura: Rilegato
Condizione: New
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Soft Computing for Reservoir Characterization and Modeling
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Condizione: 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 . Codice articolo 5310372
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Soft Computing for Reservoir Characterization and Modeling
Editore:
Physica-Verlag HD Dez 2001, 2001
ISBN 10: 3790814210
ISBN 13: 9783790814217
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Buch. Condizione: 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. Codice articolo 9783790814217
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Buch. Condizione: 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. Codice articolo 9783790814217
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Soft Computing for Reservoir Characterization and Modeling
Editore:
Physica-Verlag, Physica-Verlag HD, Physica Dez 2001, 2001
ISBN 10: 3790814210
ISBN 13: 9783790814217
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Buch. Condizione: 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. Codice articolo 9783790814217
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Soft Computing for Reservoir Characterization and Modeling (Studies in Fuzziness and Soft Computing, 80)
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Soft Computing for Reservoir Characterization and Modeling (Hardcover)
ISBN 10: 3790814210
ISBN 13: 9783790814217
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Hardcover. Condizione: 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. Codice articolo 9783790814217
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Soft Computing for Reservoir Characterization and Modeling (Studies in Fuzziness and Soft Computing)
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Hardcover. Condizione: Brand New. 1st edition. 586 pages. 9.75x6.50x1.00 inches. In Stock. Codice articolo x-3790814210
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ISBN 10: 3790814210
ISBN 13: 9783790814217
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Hardcover. Condizione: 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. Codice articolo 9783790814217
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