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...
محفوظ في:
| المؤلفون الرئيسيون: | , |
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| التنسيق: | Статья |
| اللغة: | English |
| منشور في: |
European Association of Geoscientists and Engineers, EAGE
2018
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| الموضوعات: | |
| الوصول للمادة أونلاين: | 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 |
| الوسوم: |
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