Conversion of 3D seismic attributes to reservoir hydraulic flow units using a neural network approach: An example from the Kangan and Dalan carbonate reservoirs, the world's largest non-associated gas reservoirs, near the Persian Gulf

Conversion of 3D seismic attributes to reservoir hydraulic flow units using a neural network approach: An example from the Kangan and Dalan carbonate reservoirs, the world's largest non-associated gas reservoirs, near the Persian Gulf

This study presents an intelligent model based on probabilistic neural networks (PNN) to produce a quantitative formulation between seismic attributes and hydraulic flow units (HFUs). Neural networks have been used for the last several years to estimate reservoir properties. However, their applicati...

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Bibliographic Details
Main Authors: Mohammad Amin Dezfoolian, Mohammad Ali Riahi, Ali Kadkhodaie-Ilkhchi
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2013-07-01
Series:Earth Sciences Research Journal
Subjects:
seismic attributes
seismic inversion
flow zone indicator
reservoir quality index
hydraulic flow unit
probabilistic neural networks.
Online Access:https://revistas.unal.edu.co/index.php/esrj/article/view/34000

Internet

https://revistas.unal.edu.co/index.php/esrj/article/view/34000

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