Marco a c pacheco (16 risultati)

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    • Lingua: Inglese

      Editore: Springer, 2010

      3642100961 / 9783642100963

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      Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections

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      EUR 165,21

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    • Lingua: Inglese

      Editore: Springer Berlin Heidelberg, 2010

      3642100961 / 9783642100963

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      Da: moluna, Greven, Germaniamoluna

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    • Lingua: Inglese

      Editore: Springer Berlin Heidelberg, 2009

      3540929991 / 9783540929994

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      Da: moluna, Greven, Germaniamoluna

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      EUR 137,26

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      Gebunden. Condizione: New.

    • Lingua: Inglese

      Editore: Springer, 2010

      3642100961 / 9783642100963

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      Da: Books Puddle, New York, NY, U.S.A.Books Puddle

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      EUR 210,54

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      Condizione: New. pp. 308.

    • Lingua: Inglese

      Editore: Springer, 2010

      3642100961 / 9783642100963

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      Da: preigu, Osnabrück, Germaniapreigu

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      EUR 140,10

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      Taschenbuch. Condizione: Neu. Intelligent Systems in Oil Field Development under Uncertainty | Marco A. C. Pacheco (u. a.) | Taschenbuch | Studies in Computational Intelligence | xx | Englisch | 2010 | Springer | EAN 9783642100963 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

    • Lingua: Inglese

      Editore: Springer Berlin Heidelberg, 2010

      3642100961 / 9783642100963

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      EUR 160,49

      EUR 62,35 spedizione 
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      Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

    • Lingua: Inglese

      Editore: Springer, 2010

      3642100961 / 9783642100963

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      Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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      Condizione: Usato - Come nuovo

      EUR 228,91

      EUR 29,09 spedizione 
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      Quantità: 1 disponibili

      Paperback. Condizione: Like New. Like New. book.

    • Lingua: Inglese

      Editore: Springer, Berlin, Springer, 2009

      3540929991 / 9783540929994

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      EUR 224,71

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      Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

    • Condizione: Nuovo

      EUR 272,21

      EUR 48,99 spedizione 
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      Condizione: New. Ricardo Salem Zebulum, Marco Aurelio Pacheco, Marley Maria Be VellascoFrom the explosion of interest, research, and applications of evolutionary computation a new field emerges-evolutionary electronics. Focused on applying evolutionary computation co.

    • Lingua: Inglese

      Editore: Springer, 2010

      3642100961 / 9783642100963

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      Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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      EUR 126,26

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      Condizione: new. Questo è un articolo print on demand.

    • Lingua: Inglese

      Editore: Springer Berlin Heidelberg Okt 2010, 2010

      3642100961 / 9783642100963

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      EUR 160,49

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 308 pp. Englisch.

    • Lingua: Inglese

      Editore: Berlin Springer Berlin Heidelberg Springer Apr 2009, 2009

      3540929991 / 9783540929994

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      EUR 160,49

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      Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 288 pp. Englisch.

    • Lingua: Inglese

      Editore: Springer, 2010

      3642100961 / 9783642100963

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      Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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      EUR 217,90

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      Quantità: 4 disponibili

      Condizione: New. Print on Demand pp. 308 178 Illus.

    • Lingua: Inglese

      Editore: Springer, Springer Okt 2010, 2010

      3642100961 / 9783642100963

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      EUR 160,49

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 308 pp. Englisch.

    • Lingua: Inglese

      Editore: Springer, 2010

      3642100961 / 9783642100963

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      Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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      EUR 223,31

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      Quantità: 4 disponibili

      Condizione: New. PRINT ON DEMAND pp. 308.

    • Lingua: Inglese

      Editore: Springer, 2009

      3540929991 / 9783540929994

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      Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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      EUR 223,56

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      Condizione: New. PRINT ON DEMAND pp. 308.