Seismic data conditioning and neural network-based attribute selection for enhanced fault detection

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Seismic data conditioning and neural network-based attribute selection for enhanced fault detection

In this study of the Dorood oil field, offshore Iran, 3D seismic data were utilized to identify a complex fault pattern in the highly faulted and fractured Fahliyan Formation. To enhance data quality and improve attribute accuracy and detection power, a steering cube was first computed based on a sl...

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Bibliographic Details
Main Authors:	Chehrazi, A., Rahimpour-Bonab, H., Rezaee, Reza
Format:	Journal Article
Published:	The Geological Society and the European Association of Geoscientists & Engineers 2013
Subjects:	neural network Seismic data enhanced fault detection
Online Access:	http://hdl.handle.net/20.500.11937/31392

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