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Intelligent Systems in Oil Field Development under Uncertainty (Hardcover, 2009 ed.) Loot Price: R4,431
Discovery Miles 44 310
You Save: R743 (14%)
Intelligent Systems in Oil Field Development under Uncertainty (Hardcover, 2009 ed.): Marco A.C. Pacheco, Marley M.B.R. Vellasco

Intelligent Systems in Oil Field Development under Uncertainty (Hardcover, 2009 ed.)

Marco A.C. Pacheco, Marley M.B.R. Vellasco

Series: Studies in Computational Intelligence, 183

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List price R5,174 Loot Price R4,431 Discovery Miles 44 310 | Repayment Terms: R415 pm x 12* You Save R743 (14%)

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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 mul- phase flows (oil, gas and water) in porous media with phase change, and to the c- plicated combinatorial optimization problem of choosing the optimal oil well network, that is, choosing the number and types of wells (horizontal, vertical, directional, m- tilateral) required for draining oil from a field with a view to maximizing its economic value. This problem becomes even more difficult when technical uncertainty and e- nomic uncertainty are considered. The former are uncertainties regarding the existence, volume and quality of a reservoir and may encourage an investment in information before the field is developed, in order to reduce these uncertainties and thus optimize the heavy investments required for developing the reservoir. The economic or market uncertainties are associated with the general movements of the economy, such as oil prices, gas demand, exchange rates, etc. , and may lead decision-makers to defer - vestments and wait for better market conditions. Choosing the optimal investment moment under uncertainty is a complex problem which traditionally involves dynamic programming tools and other techniques that are used by the real options theory.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 183
Release date: April 2009
First published: 2009
Editors: Marco A.C. Pacheco • Marley M.B.R. Vellasco
Dimensions: 235 x 155 x 19mm (L x W x T)
Format: Hardcover
Pages: 288
Edition: 2009 ed.
ISBN-13: 978-3-540-92999-4
Categories: Books > Professional & Technical > Technology: general issues > Engineering: general
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Earth & environment > The environment > Environmental economics > General
Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-540-92999-1
Barcode: 9783540929994

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