Soft Computing for Reservoir Characterization and Modeling:

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 introduc...

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Bibliographic Details
Other Authors: Wong, Patrick (Editor), Aminzadeh, Fred (Editor), Nikravesh, Masoud (Editor)
Format: Electronic eBook
Language:English
Published: Heidelberg Physica-Verlag HD 2002
Series:Studies in Fuzziness and Soft Computing 80
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Online Access:FHI01
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Summary: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
Physical Description:1 Online-Ressource (XV, 586 p)
ISBN:9783790818079
DOI:10.1007/978-3-7908-1807-9

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