Application of machine learning algorithms in classification the flow units of the Kazhdumi reservoir in one of the oil fields in southwest of Iran

Application of machine learning algorithms in classification the flow units of the Kazhdumi reservoir in one of the oil fields in southwest of Iran

Abstract By determining the hydraulic flow units (HFUs) in the reservoir rock and examining the distribution of porosity and permeability variables, it is possible to identify areas with suitable reservoir quality. In conventional methods, HFUs are determined using core data. This is while consideri...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Fatemeh mohammadinia, Ali Ranjbar, Moein Kafi, Reza Keshavarz
Format: Artykuł
Język:English
Wydane: SpringerOpen 2023-03-01
Seria:Journal of Petroleum Exploration and Production Technology
Hasła przedmiotowe:
Hydraulic flow units
Flow Zone Index
Rock type determination
Machine learning
Artificial intelligence
Dostęp online:https://doi.org/10.1007/s13202-023-01618-1

Internet

https://doi.org/10.1007/s13202-023-01618-1

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