Support Vector Machine Based Facies Classification Using Seismic Attributes in an Oil Field of Iran

Support Vector Machine Based Facies Classification Using Seismic Attributes in an Oil Field of Iran

Seismic facies analysis (SFA) aims to classify similar seismic traces based on amplitude, phase, frequency, and other seismic attributes. SFA has proven useful in interpreting seismic data, allowing significant information on subsurface geological structures to be extracted. While facies analysis ha...

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Bibliographic Details
Main Authors:	Majid Bagheri, Mohammad Ali Riahi
Format:	Article
Language:	English
Published:	Petroleum University of Technology 2013-07-01
Series:	Iranian Journal of Oil & Gas Science and Technology
Subjects:	Seismic Facies Support Vector Machine Multilayer Perceptrons Seismic Attributes Classification
Online Access:	http://ijogst.put.ac.ir/article_3640_b676ed606c6fd1eee6389947580bdf13.pdf

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