Soft Computing for Reservoir Characterization and Modeling (Studies in Fuzziness and Soft Computing)
Editorial Reviews
Book Description
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 Info
First comprehensive book in the area of intelligent reservoir characterization written by leading experts in academia and industry. Contains state of the art techniques to be applied in reservoir geophysics, well logging, reservoir geology, and reservoir engineering.
Soft Computing for Reservoir Characterization and Modeling (Studies in Fuzziness and Soft Computing),Patrick Wong,Fred Aminzadeh,Masoud Nikravesh,Physica-Verlag Heidelberg,3790814210,Applied,Artificial Intelligence - General,Computer Engineering,Computer simulation,General,Hydrocarbon reservoirs,Mathematical Models,Mining,Oil Reservoir Engineering,Petroleum,Science/Mathematics,Soft computing,Technology,Technology & Industrial Arts,Fuzzy Logic,Geology,Geophysics,Neural Networks,Oil and Gas,Reservoir Characterization,Reservoir Engineering,Reservoir Geology,Reservoir Geophysics,Science / Geology,Well Logging
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