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: Kadkhodaie, Ali, Dezfoolian, M., Riahi, M.
Format: Journal Article
Published: 2013
Online Access:http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S1794-61902013000200001&lng=en&nrm=iso
http://hdl.handle.net/20.500.11937/44831

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