52748

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Machine Classification of Pore Space for Hydrocarbon Reservoir Characterization

Электронная публикация: 

Да

ISBN/ISSN: 

978-1-7281-0650-2/ 2378-1971

DOI: 

10.1109/CBI.2019.00051

Наименование конференции: 

  • IEEE 21st Conference on Business Informatics (CBI) (Moscow, 2019)

Наименование источника: 

  • Proceedings of the 2019 IEEE 21st Conference on Business Informatics (CBI)

Город: 

  • Москва

Издательство: 

  • IEEE

Год издания: 

2019

Страницы: 

391-396 https://ieeexplore.ieee.org/abstract/document/8808018/authors#authors
Аннотация
From the position of hydrocarbon storage, pores of oil-bearing rocks are divided into three groups: pores contained relatively large oil-patches (industrial reservoirs), pores contained small percentage of oil (nonindustrial reservoir) and others. The reservoir rocks have complex chemical and mineralogical compositions. This paper defines the algorithm classifying heavy-oil-bearing reservoirs, based upon physicochemical properties of rock which are related to the pore and fluid distribution. The impact of these properties had been investigated separately and in relation, one to another, particularly as they pertain to the detection and evaluation of hydrocarbon-bearing layers.

Библиографическая ссылка: 

Владова А.Ю., Владов Ю.Р. Machine Classification of Pore Space for Hydrocarbon Reservoir Characterization / Proceedings of the 2019 IEEE 21st Conference on Business Informatics (CBI). М.: IEEE, 2019. С. 391-396 https://ieeexplore.ieee.org/abstract/document/8808018/authors#authors.