2009, ISBN: 9783540929994

[ED: Gebunden], [PU: Springer Berlin], 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 tech… Más…

[ED: Gebunden], [PU: Springer Berlin], 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 288, [GW: 600g], Banküberweisung, PayPal, Sofortüberweisung<

2009, ISBN: 9783540929994

[ED: Hardcover], [PU: Springer / Springer Berlin Heidelberg / Springer, Berlin], The decision to invest in oil field development is an extremely complex problem, even in the absence of un… Más…

[ED: Hardcover], [PU: Springer / Springer Berlin Heidelberg / Springer, Berlin], 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. 2009. xx, 288 S. XX, 288 p. 235 mm Sofort lieferbar, DE, Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<

ISBN: 9783540929994

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… Más…

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<

2009, ISBN: 3540929991

Gebundene Ausgabe Expertensystem, Wirtschaft / Umwelt, Ingenieurwissenschaft - Ingenieurwissenschaftler, Maschinenbau, Mathematik / Technik, Ingenieurwissenschaften, Handwerk, Chemie / T… Más…

Gebundene Ausgabe Expertensystem, Wirtschaft / Umwelt, Ingenieurwissenschaft - Ingenieurwissenschaftler, Maschinenbau, Mathematik / Technik, Ingenieurwissenschaften, Handwerk, Chemie / Technik, Werkstoffe, Berufe, Industrie, Chemische Industrie, Industrie / Chemische Industrie, Roboter - Robotik - Industrieroboter, CAD - Computer Aided Design, Erdöl, Mineralöl, Öl / Erdöl, Petroleum, Business / Management, Management, Mathematik, Chemie, Umweltökonomie, Energiewirtschaft und Versorgungsunternehmen, Ingenieurswesen, Maschinenbau allgemein, Mathematik für Ingenieure, Industrielle Chemie und Chemietechnologie, Robotik, Computer-Aided Design (CAD), Wissensbasierte Systeme, Expertensysteme, Angewandte Mathematik, mit Schutzumschlag 11, [PU:Springer-Verlag GmbH; Springer Berlin]<