书目名称 | Intelligent Systems in Oil Field Development under Uncertainty | 编辑 | Marco A. C. Pacheco,Marley M. B. R. Vellasco | 视频video | http://file.papertrans.cn/471/470082/470082.mp4 | 概述 | Presents applications of intelligent decision support systems to oil field development under uncertainty.Includes supplementary material: | 丛书名称 | Studies in Computational Intelligence | 图书封面 |  | 描述 | 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 a | 出版日期 | Book 2009 | 关键词 | algorithm; algorithms; combinatorial optimization; computational intelligence; development; electrical en | 版次 | 1 | doi | https://doi.org/10.1007/978-3-540-93000-6 | isbn_softcover | 978-3-642-10096-3 | isbn_ebook | 978-3-540-93000-6Series ISSN 1860-949X Series E-ISSN 1860-9503 | issn_series | 1860-949X | copyright | Springer-Verlag Berlin Heidelberg 2009 |
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