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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Bibliografiska uppgifter
Huvudupphovsmän: Majid Bagheri, Mohammad Ali Riahi
Materialtyp: Artigo
Språk:Inglês
Publicerad: Petroleum University of Technology 2013-07-01
Serie:Iranian Journal of Oil & Gas Science and Technology
Ämnen:
Seismic Facies
Support Vector Machine
Multilayer Perceptrons
Seismic Attributes
Classification
Länkar:http://ijogst.put.ac.ir/article_3640_b676ed606c6fd1eee6389947580bdf13.pdf
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