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...

Full description

Autores:

Dezfoolian, Mohammad Amin
Riahi, Mohammad Ali
Kadkhodaie-Ilkhchi, Ali

Tipo de recurso:

Article of journal

Fecha de publicación:

2013

Institución:

Universidad Nacional de Colombia

Repositorio:

Universidad Nacional de Colombia

Idioma:

spa

OAI Identifier:

oai:repositorio.unal.edu.co:unal/43915

Acceso en línea:

https://repositorio.unal.edu.co/handle/unal/43915
http://bdigital.unal.edu.co/34013/
http://bdigital.unal.edu.co/34013/2/

Palabra clave:

seismic attributes
seismic inversion
flow zone indicator
reservoir quality index
hydraulic flow unit

Rights

openAccess

License

Atribución-NoComercial 4.0 Internacional