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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Petroleum University of Technology
2013-07-01
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| Series: | Iranian Journal of Oil & Gas Science and Technology |
| Subjects: | |
| Online Access: | http://ijogst.put.ac.ir/article_3640_b676ed606c6fd1eee6389947580bdf13.pdf |