Probabilistic neural network approach for porosity prediction in Balkassar area: a case study

The current study predicts the reservoir porosity using 3D seismic data and well logs of the Balkassar Oil field. [...]to obtain acoustic impedance volume, the 3D seismic data is inverted and applied to the data set by using as a part of seismic attribute study. Artificial Neural Network Results for...

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Veröffentlicht in:	Journal of Himalayan earth sciences 2017, Vol.50 (1), p.111-120
Hauptverfasser:	Mahmood, Muhammad Fahad, Shakir, Urooj, Abuzar, Muhammad Khubaib, Khan, Mumtaz Ali, Khattak, Nimat Ullah, Hussain, Hafiz Shahid, Tahir, Abdul Rehman
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Case studies Geology Geophysics Neural networks Oil fields Porosity Reservoirs
Online-Zugang:	Volltext
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