Intelligent systems in oil field development under uncertainty

The decision to invest in oil field development is an extremely complex problem, even in the absence of uncertainty, due to the great number of technological alternatives that may be used, to the dynamic complexity of oil reservoirs - which involves multiphase flows (oil, gas and water) in porous media with phase change, and to the complicated combinatorial optimization problem of choosing the optimal oil well network, that is, choosing the number and types of wells (horizontal, vertical, directional, multilateral) required for draining oil from a field with a view to maximizing its economic value. The present book is a result of about 4 years of research in this area through a partnership between the Applied Computational Intelligence Laboratory (ICA) of the Department of Electrical Engineering at PUC-Rio, and Petrobras, through its R&D (research and development) program called PRAVAP (Advanced Oil Recovery Program), which is linked to its research center (CENPES). Presents applications of intelligent decision support systems to oil field development under uncertainty INDICE: ANEPI: Economic Analysis of Oil Field Development Projects under Uncertainty.- Real Options Theory.- Decision Support Methods.- Intelligent Optimization System for Selecting Alternatives for Oil Field Exploration by means of Evolutionary Computation .- Real Option Value Calculation by Monte Carlo Simulation and Approximation by Fuzzy Numbers and Genetic Algorithms.- Analysis of Alternatives for Oil Field Development under Uncertainty.- High-PerformanceProcessing for E/P.

• ISBN: 978-3-540-92999-4
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 260
• Fecha Publicación: 01/03/2009
• Nº Volúmenes: 1
• Idioma: Inglés