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

Riguardo questo articolo

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.

Codice articolo V9783790814217

Dati bibliografici

• Titolo: Soft Computing for Reservoir Characterization and Modeling
• Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Data di pubblicazione: 2001
• Lingua: Inglese
• ISBN 10: 3790814210
• ISBN 13: 9783790814217
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

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.