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Book synopsis

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.

Book details

Book category Knihy po anglicky Mathematics & science Physics Applied physics

• Full title: Soft Computing for Reservoir Characterization and Modeling
• Author: Patrick Wong, Fred Aminzadeh, Masoud Nikravesh
• Language: English
• Binding: Hardback
• Number of pages: 586
• EAN: 9783790814217
• ISBN: 3790814210
• ID: 01737830
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 1175 g
• Dimensions: 235 × 155 × 37 mm
• Date of publishing: 04. December 2001

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