Electrical facies of the Asmari Formation in the Mansouri oilfield, an application of multi-resolution graph-based and artificial neural network clustering methods

Electrical facies of the Asmari Formation in the Mansouri oilfield, an application of multi-resolution graph-based and artificial neural network clustering methods

Abstract Electrofacies analysis conducted the distribution effects throughout the reservoir despite the difficulty of characterizing stratigraphic relationships. Clustering methods quantitatively define the reservoir zone from non-reservoir considering electrofacies. Asmari Formation is the most sig...

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Bibliographic Details
Main Authors: Seyedeh Hajar Eftekhari, Mahmoud Memariani, Zahra Maleki, Mohsen Aleali, Pooria Kianoush
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Asmari reservoir
Electrofacies
Lithofacies
Zoning
MRGC and ANN clustering
Sandstone reserve
Online Access:https://doi.org/10.1038/s41598-024-55955-0

Internet

https://doi.org/10.1038/s41598-024-55955-0

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