Пропуск в контексте

Integrating K-means clustering analysis and generalized additive model for efficient reservoir characterization

We present new efficient algorithm for modeling the formation permeability given the well logs and core petrophysical properties in addition to vertical facies classification for a well in sandstone formation in West Africa. Firstly, the k-mean cluster analysis has been used to obtain the vertical r...

Fuld beskrivelse

Сохранить в:
Bibliografiske detaljer
Главные авторы: Bondarenko, M. A., Бондаренко, М. А.
Format: Статья
Sprog:English
Udgivet: European Association of Geoscientists and Engineers, EAGE 2018
Fag:
Online adgang:https://www.scopus.com/record/display.uri?eid=2-s2.0-84978710787&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=North+caucasus+federal+university&sid=fac3bf863ed6a2befaa263cab61d19d7&sot=afnl&sdt=sisr&cluster=scopubyr%2c%222015%22%2ct&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&ref=%28Integrating+K-means+clustering+analysis+and+generalized+additive+model+for+efficient+reservoir+characterization%29&relpos=0&citeCnt=12&searchTerm=
https://dspace.ncfu.ru/handle/20.500.12258/3783
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!