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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...

詳細記述

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書誌詳細
主要な著者: Majid Bagheri, Mohammad Ali Riahi
フォーマット: Artigo
言語:Inglês
出版事項: Petroleum University of Technology 2013-07-01
シリーズ:Iranian Journal of Oil & Gas Science and Technology
主題:
オンライン・アクセス:http://ijogst.put.ac.ir/article_3640_b676ed606c6fd1eee6389947580bdf13.pdf
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