Fuzzy Partial Differential Equations and Relational Equations Reservoir Characterization and Modeling /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Nikravesh, Masoud (Editor, http://id.loc.gov/vocabulary/relators/edt), Zadeh, Lofti A. (Editor, http://id.loc.gov/vocabulary/relators/edt), Korotkikh, Victor (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
• Edition: 1st ed. 2004.
• Series: Studies in Fuzziness and Soft Computing, 142
• Subjects: Applied mathematics.; Engineering mathematics.; Mathematical analysis.; Analysis (Mathematics).; Dynamics.; Ergodic theory.; Partial differential equations.; Computer mathematics.; Mathematical and Computational Engineering.; Applications of Mathematics.; Analysis.; Dynamical Systems and Ergodic Theory.; Partial Differential Equations.; Computational Mathematics and Numerical Analysis.
• Physical Description: XIV, 347 p. online resource.
• ISBN: 9783540396758
• ISSN: 1434-9922 ;
• DOI: 10.1007/978-3-540-39675-8

This monograph presents the latest advances of fuzzy logic and soft computing in reservoir characterization and modeling. It proposes for the first time that future develoments require perception-based information processing. The book presents important steps in this direction by introducing fuzzy partial differential equations and relational equations. It provides a unique opportunity for soft computing researchers and oil industry practitioners to understand the significance of the changes in the fields by presenting recent accomplishments and new directions.