Research Catalog

Intelligent systems in oil field development under uncertainty

Title
Intelligent systems in oil field development under uncertainty / Marco A.C. Pacheco, Marley M.B.R. Vellasco (eds.).
Publication
Berlin : Springer Verlag, [2009]

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TextUse in library TN871 .I573 2009Off-site

Details

Additional Authors
  • Carrillo Pacheco, Marco A.
  • Vellasco, Marley Maria B. R.
Description
xix, 285 pages : illustrations; 24 cm.
Summary
"Intelligent Systems use a range of methodologies for analysis, pre-processing, storage, organization, enhancing and mining of operational data, turning it into useful information and knowledge for decision makers in business enterprises. These intelligent technologies for decision support have been used with success by companies and organizations that are looking for competitive advantages whenever the issues on forecast, optimization, risks analysis, fraud detection, and decision under uncertainties are presented." "Intelligent Systems (IS) offer to managers and decision makers the best solutions for complex applications, normally considered difficult, very restrictive or even impossible. The use of such techniques leads to a revolutionary process which has a significant impact in the business management strategy, by providing on time, correct information, ready to use. Computational intelligence techniques, especially genetic algorithms, genetic programming, neural networks, fuzzy logic and neuro-fuzzy as well as modern finance theories, such as real options theory, are here presented and exemplified in oil and gas exploitation and production. This book is addressed to executives and students, directly involved or interested in intelligent management in different fields." --Book Jacket.
Series Statement
Studies in computational intelligence ; 183
Uniform Title
Studies in computational intelligence ; v. 183.
Subject
  • Petroleum engineering
  • Oil fields
  • Uncertainty (Information theory)
  • Computational intelligence
  • oil fields
  • Erdölgewinnung
  • Risikomanagement
  • Mathematisches Modell
Bibliography (note)
  • Includes bibliographical references and index.
ISBN
  • 9783540929994
  • 3540929991
  • 9783540930006
  • 3540930000
LCCN
2008942381
OCLC
  • ocn297148314
  • 297148314
  • SCSB-9276901
Owning Institutions
Princeton University Library