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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Main Authors: Majid Bagheri, Mohammad Ali Riahi
פורמט: Artigo
שפה:Inglês
יצא לאור: Petroleum University of Technology 2013-07-01
סדרה:Iranian Journal of Oil & Gas Science and Technology
נושאים:
Seismic Facies
Support Vector Machine
Multilayer Perceptrons
Seismic Attributes
Classification
גישה מקוונת:http://ijogst.put.ac.ir/article_3640_b676ed606c6fd1eee6389947580bdf13.pdf
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