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Article . 2011
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Оптимизация градиентных методов решения экстремальных задач в подземной гидродинамике

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2011 Russian Publisher:Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования "Тюменский государственный университет"Journal:Вестник Тюменского государственного университета. Социально-экономические и правовые исследования (issn: 1562-2983, eissn: 1994-8484, Copyright policy )

Оптимизация градиентных методов решения экстремальных задач в подземной гидродинамике

Abstract

The optimization algorithm for the problem of automatic history matching of hydrodynamic model is considered. In some cases the algorithm permits to reduce the numerical calculations when gradient methods for history matching are used. The operation of algorithm is demonstrated on the testing model.

В работе предлагается метод оптимизации задачи автоматической адаптации гидродинамической модели на историю разработки. Данный метод в некоторых случаях позволяет сократить объем вычислений при использовании градиентных методов автоадаптации. Работа алгоритма продемонстрирована на тестовом примере.

Keywords

МОДЕЛИРОВАНИЕ ПЛАСТОВЫХ СИСТЕМ, АДАПТАЦИЯ НА ИСТОРИЮ РАЗРАБОТКИ, ОПТИМИЗАЦИЯ ГРАДИЕНТНЫХ МЕТОДОВ, КОНЕЧНО-РАЗНОСТНЫЕ МЕТОДЫ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average