61887 | ИПУ РАН

Автор(ы):

Автор(ов):

Параметры публикации

Тип публикации:

Доклад

Название:

The algorithm for the classification of methods for processing multidimensional heterogeneous data in application to designing of oil fields development

Электронная публикация:

Да

ISBN/ISSN:

18650929 978-303029742-8

DOI:

10.1007/978-3-030-29743-5_13

Наименование конференции:

Conference on Creativity in Intelligent Technologies and Data Science (CIT&DS 2019)

Наименование источника:

Proceedings of the Conference on Creativity in Intelligent Technologies and Data Science (CIT&DS 2019, Volgograd)

Обозначение и номер тома:

1083

Город:

Волгоград

Издательство:

Springer Verlag

Год издания:

2019

Страницы:

162-174

Аннотация

An algorithm of methods selection for processing multidimensional heterogeneous data based on the general properties of the data used and the methods included in the review is proposed in this paper. The algorithm is implemented in the form of software and a group of interpolation algorithms is compared by the example of the problem of constructing an oil field model for field development designing. It is shown that the proposed algorithm for selecting data processing methods works successfully for a group of data interpolation methods. © Springer Nature Switzerland AG 2019.

Библиографическая ссылка:

Захарова А.А., Небаба С.Г., Завьялов Д.А. The algorithm for the classification of methods for processing multidimensional heterogeneous data in application to designing of oil fields development / Proceedings of the Conference on Creativity in Intelligent Technologies and Data Science (CIT&DS 2019, Volgograd). Волгоград: Springer Verlag, 2019. 1083. С. 162-174.