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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...

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Bibliographic Details
Main Authors: Bondarenko, M. A., Бондаренко, М. А.
Format: Статья
Language:English
Published: European Association of Geoscientists and Engineers, EAGE 2018
Subjects:
Online Access: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
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